From 619fa2bcafec575e48d0ae1e23aa7d1e0e5ccf3a Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Mon, 16 Sep 2024 20:09:49 +0000 Subject: [PATCH 01/15] draft notebook for cryo2ice --- notebooks/cryo2ice/is2cs2.ipynb | 823 ++++++++++++++++++++++++++++++++ 1 file changed, 823 insertions(+) create mode 100644 notebooks/cryo2ice/is2cs2.ipynb diff --git a/notebooks/cryo2ice/is2cs2.ipynb b/notebooks/cryo2ice/is2cs2.ipynb new file mode 100644 index 0000000..e69b3a7 --- /dev/null +++ b/notebooks/cryo2ice/is2cs2.ipynb @@ -0,0 +1,823 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + " var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n", + " var reloading = false;\n", + " var Bokeh = root.Bokeh;\n", + " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + "\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " if (!reloading) {\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " }\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " var skip = [];\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", + " require([\"jspanel\"], function(jsPanel) {\n", + "\twindow.jsPanel = jsPanel\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-modal\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-tooltip\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-hint\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-layout\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-contextmenu\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"jspanel-dock\"], function() {\n", + "\ton_load()\n", + " })\n", + " require([\"gridstack\"], function(GridStack) {\n", + "\twindow.GridStack = GridStack\n", + "\ton_load()\n", + " })\n", + " require([\"notyf\"], function() {\n", + "\ton_load()\n", + " })\n", + " root._bokeh_is_loading = css_urls.length + 9;\n", + " } else {\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", + " }\n", + "\n", + " var existing_stylesheets = []\n", + " var links = document.getElementsByTagName('link')\n", + " for (var i = 0; i < links.length; i++) {\n", + " var link = links[i]\n", + " if (link.href != null) {\n", + "\texisting_stylesheets.push(link.href)\n", + " }\n", + " }\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " if (existing_stylesheets.indexOf(url) !== -1) {\n", + "\ton_load()\n", + "\tcontinue;\n", + " }\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", + " var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", + " for (var i = 0; i < urls.length; i++) {\n", + " skip.push(urls[i])\n", + " }\n", + " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", + " var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", + " for (var i = 0; i < urls.length; i++) {\n", + " skip.push(urls[i])\n", + " }\n", + " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", + " var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", + " for (var i = 0; i < urls.length; i++) {\n", + " skip.push(urls[i])\n", + " }\n", + " } var existing_scripts = []\n", + " var scripts = document.getElementsByTagName('script')\n", + " for (var i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + "\texisting_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (var i = 0; i < js_modules.length; i++) {\n", + " var url = js_modules[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (const name in js_exports) {\n", + " var url = js_exports[name];\n", + " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", + " if (!js_urls.length && !js_modules.length) {\n", + " on_load()\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.2.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.2.2.min.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/panel.min.js\"];\n", + " var js_modules = [];\n", + " var js_exports = {};\n", + " var css_urls = [];\n", + " var inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {} // ensure no trailing comma for IE\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if ((root.Bokeh !== undefined) || (force === true)) {\n", + " for (var i = 0; i < inline_js.length; i++) {\n", + " inline_js[i].call(root, root.Bokeh);\n", + " }\n", + " // Cache old bokeh versions\n", + " if (Bokeh != undefined && !reloading) {\n", + "\tvar NewBokeh = root.Bokeh;\n", + "\tif (Bokeh.versions === undefined) {\n", + "\t Bokeh.versions = new Map();\n", + "\t}\n", + "\tif (NewBokeh.version !== Bokeh.version) {\n", + "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + "\t}\n", + "\troot.Bokeh = Bokeh;\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " }\n", + " root._bokeh_is_initializing = false\n", + " }\n", + "\n", + " function load_or_wait() {\n", + " // Implement a backoff loop that tries to ensure we do not load multiple\n", + " // versions of Bokeh and its dependencies at the same time.\n", + " // In recent versions we use the root._bokeh_is_initializing flag\n", + " // to determine whether there is an ongoing attempt to initialize\n", + " // bokeh, however for backward compatibility we also try to ensure\n", + " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", + " // before older versions are fully initialized.\n", + " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " root._bokeh_is_initializing = false;\n", + " root._bokeh_onload_callbacks = undefined;\n", + " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", + " load_or_wait();\n", + " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", + " setTimeout(load_or_wait, 100);\n", + " } else {\n", + " Bokeh = root.Bokeh;\n", + " bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " if (!reloading && (!bokeh_loaded || is_dev)) {\n", + "\troot.Bokeh = undefined;\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + "\trun_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n var reloading = false;\n var Bokeh = root.Bokeh;\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async 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(Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + " var buffers = []\n", + " for (var buffer of message.buffers || []) {\n", + " buffers.push(new DataView(buffer))\n", + " }\n", + " var metadata = 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" return\n", + " }\n", + " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " if (id !== undefined) {\n", + " var nchildren = toinsert.length;\n", + " var html_node = toinsert[nchildren-1].children[0];\n", + " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var scripts = [];\n", + " var nodelist = html_node.querySelectorAll(\"script\");\n", + " for (var i in nodelist) {\n", + " if (nodelist.hasOwnProperty(i)) {\n", + " scripts.push(nodelist[i])\n", + " }\n", + " }\n", + "\n", + " scripts.forEach( function (oldScript) {\n", + " var newScript = document.createElement(\"script\");\n", + " var attrs = [];\n", + " var nodemap = oldScript.attributes;\n", + " for (var j in nodemap) {\n", + " if (nodemap.hasOwnProperty(j)) {\n", + " attrs.push(nodemap[j])\n", + " }\n", + " }\n", + " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", + " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", + " oldScript.parentNode.replaceChild(newScript, oldScript);\n", + " });\n", + " if (JS_MIME_TYPE in output.data) {\n", + " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", + " }\n", + " output_area._hv_plot_id = id;\n", + " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n", + " window.PyViz.plot_index[id] = Bokeh.index[id];\n", + " } else {\n", + " window.PyViz.plot_index[id] = null;\n", + " }\n", + " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " var bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var script_attrs = bk_div.children[0].attributes;\n", + " for (var i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + "function handle_clear_output(event, handle) {\n", + " var id = handle.cell.output_area._hv_plot_id;\n", + " var server_id = handle.cell.output_area._bokeh_server_id;\n", + " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n", + " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n", + " if (server_id !== null) {\n", + " comm.send({event_type: 'server_delete', 'id': server_id});\n", + " return;\n", + " } else if (comm !== null) {\n", + " comm.send({event_type: 'delete', 'id': id});\n", + " }\n", + " delete PyViz.plot_index[id];\n", + " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n", + " var doc = window.Bokeh.index[id].model.document\n", + " doc.clear();\n", + " const i = window.Bokeh.documents.indexOf(doc);\n", + " if (i > -1) {\n", + " window.Bokeh.documents.splice(i, 1);\n", + " }\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle kernel restart event\n", + " */\n", + "function handle_kernel_cleanup(event, handle) {\n", + " delete PyViz.comms[\"hv-extension-comm\"];\n", + " window.PyViz.plot_index = {}\n", + "}\n", + "\n", + "/**\n", + " * Handle update_display_data messages\n", + " */\n", + "function handle_update_output(event, handle) {\n", + " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n", + " handle_add_output(event, handle)\n", + "}\n", + "\n", + "function register_renderer(events, OutputArea) {\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " var toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[0]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " events.on('output_added.OutputArea', handle_add_output);\n", + " events.on('output_updated.OutputArea', handle_update_output);\n", + " events.on('clear_output.CodeCell', handle_clear_output);\n", + " events.on('delete.Cell', handle_clear_output);\n", + " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", + "\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " safe: true,\n", + " index: 0\n", + " });\n", + "}\n", + "\n", + "if (window.Jupyter !== undefined) {\n", + " try {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " } catch(err) {\n", + " }\n", + "}\n" + ], + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } 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nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import platform\n", + "from ftplib import FTP\n", + "import sys\n", + "\n", + "\n", + "# For searching and accessing NASA data\n", + "import earthaccess\n", + "\n", + "# For reading data, analysis and plotting\n", + "import xarray as xr\n", + "import hvplot.xarray\n", + "\n", + "import pprint # For nice printing of python objects" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36740067-43e4-4864-9077-d7cb0e92b1b5", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d051c25c-3242-4878-ad24-6bd337adce80", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f61fcd91-3b0b-45f1-9877-1e1690fca722", + "metadata": {}, + "outputs": [], + "source": [ + "def get_padded_count(count, max_count):\n", + " return str(count).zfill(len(str(max_count)))\n", + "\n", + "\n", + "def file_byte_handler(data):\n", + " global download_file_obj, read_byte_count, total_byte_count\n", + " download_file_obj.write(data)\n", + " read_byte_count = read_byte_count + len(data)\n", + " progress_bar(read_byte_count, total_byte_count)\n", + "\n", + "\n", + "def progress_bar(progress, total, prefix=\"\", size=60, file=sys.stdout):\n", + " if total != 0:\n", + " x = int(size * progress / total)\n", + " x_percent = int(100 * progress / total)\n", + " file.write(f\" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \\r\")\n", + " file.flush()\n", + "\n", + "\n", + "def download_files(user_email, esa_files):\n", + " global download_file_obj, read_byte_count, total_byte_count\n", + " print(\"About to connect to ESA science server\")\n", + " with FTP(\"science-pds.cryosat.esa.int\") as ftp:\n", + " try:\n", + " ftp.login(\"anonymous\", user_email)\n", + " print(\"Downloading {} files\".format(len(esa_files)))\n", + "\n", + " for i, filename in enumerate(esa_files):\n", + " padded_count = get_padded_count(i + 1, len(esa_files))\n", + " print(\"{}/{}. Downloading file {}\".format(padded_count, len(esa_files), os.path.basename(filename)))\n", + "\n", + " with open(os.path.basename(filename), 'wb') as download_file:\n", + " download_file_obj = download_file\n", + " total_byte_count = ftp.size(filename)\n", + " read_byte_count = 0\n", + " ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024)\n", + " print(\"\\n\")\n", + " finally:\n", + " print(\"Exiting FTP.\")\n", + " ftp.quit()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bd2e49a5-0ba8-4ab5-acfc-7fa29d55cb10", + "metadata": {}, + "outputs": [], + "source": [ + "user_email = 'mikala.beig@colorado.edu'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", + "metadata": {}, + "outputs": [], + "source": [ + "esa_files = ['SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc', 'SIR_SAR_L2/2022/02/CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc', 'SIR_SIN_L2/2022/02/CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc']" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "eb7200bd-caf5-41f1-99b3-e3c5b57e36d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "About to connect to ESA science server\n", + "Downloading 9 files\n", + "1/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "2/9. Downloading file CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "3/9. Downloading file CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "4/9. Downloading file CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "5/9. Downloading file CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "6/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "7/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "8/9. Downloading file CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "9/9. Downloading file CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "Exiting FTP.\n" + ] + } + ], + "source": [ + "download_files(user_email, esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b4b8e677-533d-4e5d-b76e-a7cece1b89fb", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "from scipy.io import netcdf\n", + "\n", + "from cartopy import config\n", + "import cartopy.crs as ccrs\n", + "\n", + "from netCDF4 import Dataset as NetCDFFile" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "56d209b9-191d-4d39-b97d-a745b17ef664", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# get the path of the file. It can be found in the repo data directory.\n", + "#fname = './CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc'\n", + "\n", + "#dataset = netcdf.netcdf_file(fname, maskandscale=True, mmap=False)\n", + "#freeboard = dataset.variables['radar_freeboard_20_ku'][0, :, :]\n", + "#lats = dataset.variables['lat_poca_20_ku'][:]\n", + "#lons = dataset.variables['lon_poca_20_ku'][:]\n", + "nc = NetCDFFile('./CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc') \n", + "lat = nc.variables['lat_poca_20_ku'][:]\n", + "lon = nc.variables['lon_poca_20_ku'][:]\n", + "freeboard = nc.variables['radar_freeboard_20_ku'][:]\n", + "\n", + "ax = plt.axes(projection=ccrs.Stereographic(central_latitude=90.0, central_longitude=-45.0, false_easting=0.0, false_northing=0.0, true_scale_latitude=70, scale_factor=None, globe=None))\n", + "\n", + "plt.scatter(lon, lat, 60,\n", + " transform=ccrs.Stereographic(central_latitude=90.0, central_longitude=-45.0, false_easting=0.0, false_northing=0.0, true_scale_latitude=70, scale_factor=None, globe=None))\n", + "\n", + "ax.coastlines()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 33affbcd8ec678c17cc128062b84fa03e82a38db Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Mon, 16 Sep 2024 21:41:47 +0000 Subject: [PATCH 02/15] new notebook using xarray and cartopy to plot is2 and cs2 files, as well as download script, and sample cs2 file --- 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download_file_obj.write(data) + read_byte_count = read_byte_count + len(data) + progress_bar(read_byte_count, total_byte_count) + + +def progress_bar(progress, total, prefix="", size=60, file=sys.stdout): + if total != 0: + x = int(size * progress / total) + x_percent = int(100 * progress / total) + file.write(f" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \r") + file.flush() + + +def download_files(user_email, esa_files): + global download_file_obj, read_byte_count, total_byte_count + print("About to connect to ESA science server") + with FTP("science-pds.cryosat.esa.int") as ftp: + try: + ftp.login("anonymous", user_email) + print("Downloading {} files".format(len(esa_files))) + + for i, filename in enumerate(esa_files): + padded_count = get_padded_count(i + 1, len(esa_files)) + print("{}/{}. Downloading file {}".format(padded_count, len(esa_files), os.path.basename(filename))) + + with open(os.path.basename(filename), 'wb') as download_file: + download_file_obj = download_file + total_byte_count = ftp.size(filename) + read_byte_count = 0 + ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024) + print("\n") + finally: + print("Exiting FTP.") + ftp.quit() + + +if __name__ == '__main__': + + esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc'] + + if int(platform.python_version_tuple()[0]) < 3: + exit("Your Python version is {}. Please use version 3.0 or higher.".format(platform.python_version())) + + email = input("Please enter your e-mail: ") + + download_files(email, esa_files) diff --git a/notebooks/cryo2ice/cartopy_practice.ipynb b/notebooks/cryo2ice/cartopy_practice.ipynb new file mode 100644 index 0000000..1457826 --- /dev/null +++ b/notebooks/cryo2ice/cartopy_practice.ipynb @@ -0,0 +1,1872 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 30, + "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import platform\n", + "from ftplib import FTP\n", + "import sys\n", + "\n", + "\n", + "# For searching and accessing NASA data\n", + "import earthaccess\n", + "\n", + "# For reading data, analysis and plotting\n", + "import xarray as xr\n", + "import hvplot.xarray\n", + "import h5py\n", + "\n", + "# For nice printing of python objects\n", + "import pprint \n", + "\n", + "# For plotting\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "from shapely.geometry import box\n", + "\n", + "# For resampling\n", + "import pyresample" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f61fcd91-3b0b-45f1-9877-1e1690fca722", + "metadata": {}, + "outputs": [], + "source": [ + "def get_padded_count(count, max_count):\n", + " return str(count).zfill(len(str(max_count)))\n", + "\n", + "\n", + "def file_byte_handler(data):\n", + " global download_file_obj, read_byte_count, total_byte_count\n", + " download_file_obj.write(data)\n", + " read_byte_count = read_byte_count + len(data)\n", + " progress_bar(read_byte_count, total_byte_count)\n", + "\n", + "\n", + "def progress_bar(progress, total, prefix=\"\", size=60, file=sys.stdout):\n", + " if total != 0:\n", + " x = int(size * progress / total)\n", + " x_percent = int(100 * progress / total)\n", + " file.write(f\" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \\r\")\n", + " file.flush()\n", + "\n", + "\n", + "def download_files(user_email, esa_files):\n", + " global download_file_obj, read_byte_count, total_byte_count\n", + " print(\"About to connect to ESA science server\")\n", + " with FTP(\"science-pds.cryosat.esa.int\") as ftp:\n", + " try:\n", + " ftp.login(\"anonymous\", user_email)\n", + " print(\"Downloading {} files\".format(len(esa_files)))\n", + "\n", + " for i, filename in enumerate(esa_files):\n", + " padded_count = get_padded_count(i + 1, len(esa_files))\n", + " print(\"{}/{}. Downloading file {}\".format(padded_count, len(esa_files), os.path.basename(filename)))\n", + "\n", + " with open(os.path.basename(filename), 'wb') as download_file:\n", + " download_file_obj = download_file\n", + " total_byte_count = ftp.size(filename)\n", + " read_byte_count = 0\n", + " ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024)\n", + " print(\"\\n\")\n", + " finally:\n", + " print(\"Exiting FTP.\")\n", + " ftp.quit()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "bd2e49a5-0ba8-4ab5-acfc-7fa29d55cb10", + "metadata": {}, + "outputs": [], + "source": [ + "user_email = 'mikala.beig@colorado.edu'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", + "metadata": {}, + "outputs": [], + "source": [ + "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc']" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "25" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "eb7200bd-caf5-41f1-99b3-e3c5b57e36d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "About to connect to ESA science server\n", + "Downloading 25 files\n", + "01/25. Downloading file CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "02/25. Downloading file CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "03/25. Downloading file CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "04/25. Downloading file CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "05/25. Downloading file CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "06/25. 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Downloading file CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "Exiting FTP.\n" + ] + } + ], + "source": [ + "download_files(user_email, esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", + "metadata": {}, + "outputs": [], + "source": [ + "auth = earthaccess.login()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "37139d13-43e4-4563-b436-2879c76677ec", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Granules found: 665\n" + ] + } + ], + "source": [ + "results = earthaccess.search_data(\n", + " short_name = 'ATL10',\n", + " version = '006',\n", + " cloud_hosted = True,\n", + " bounding_box = (-17, 79, 12, 83),\n", + " temporal = ('2019-10-01','2020-04-30'),\n", + " count = 4\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5d4dc618-ac7a-4f3e-83c4-6815acacbe9d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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<xarray.Dataset> Size: 9MB\n",
+       "Dimensions:                    (delta_time: 84016)\n",
+       "Coordinates:\n",
+       "  * delta_time                 (delta_time) datetime64[ns] 672kB 2019-10-01T2...\n",
+       "    latitude                   (delta_time) float64 672kB ...\n",
+       "    longitude                  (delta_time) float64 672kB ...\n",
+       "Data variables: (12/25)\n",
+       "    asr_25                     (delta_time) float32 336kB ...\n",
+       "    backgr_calc                (delta_time) float32 336kB ...\n",
+       "    backgr_r_200               (delta_time) float32 336kB ...\n",
+       "    backgr_r_25                (delta_time) float32 336kB ...\n",
+       "    background_r_norm          (delta_time) float32 336kB ...\n",
+       "    bsnow_con                  (delta_time) float32 336kB ...\n",
+       "    ...                         ...\n",
+       "    ice_conc_amsr2             (delta_time) float32 336kB ...\n",
+       "    ice_conc_ssmi              (delta_time) float32 336kB ...\n",
+       "    layer_flag                 (delta_time) int8 84kB ...\n",
+       "    msw_flag                   (delta_time) int8 84kB ...\n",
+       "    photon_rate                (delta_time) float32 336kB ...\n",
+       "    podppd_flag                (delta_time) int8 84kB ...\n",
+       "Attributes:\n",
+       "    Description:  Contains key height segment parameters from ATL07 associate...
" + ], + "text/plain": [ + " Size: 9MB\n", + "Dimensions: (delta_time: 84016)\n", + "Coordinates:\n", + " * delta_time (delta_time) datetime64[ns] 672kB 2019-10-01T2...\n", + " latitude (delta_time) float64 672kB ...\n", + " longitude (delta_time) float64 672kB ...\n", + "Data variables: (12/25)\n", + " asr_25 (delta_time) float32 336kB ...\n", + " backgr_calc (delta_time) float32 336kB ...\n", + " backgr_r_200 (delta_time) float32 336kB ...\n", + " backgr_r_25 (delta_time) float32 336kB ...\n", + " background_r_norm (delta_time) float32 336kB ...\n", + " bsnow_con (delta_time) float32 336kB ...\n", + " ... ...\n", + " ice_conc_amsr2 (delta_time) float32 336kB ...\n", + " ice_conc_ssmi (delta_time) float32 336kB ...\n", + " layer_flag (delta_time) int8 84kB ...\n", + " msw_flag (delta_time) int8 84kB ...\n", + " photon_rate (delta_time) float32 336kB ...\n", + " podppd_flag (delta_time) int8 84kB ...\n", + "Attributes:\n", + " Description: Contains key height segment parameters from ATL07 associate..." + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_is2" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0503dfee-7d66-49fa-8482-ad2dc330ff52", + "metadata": {}, + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
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\n", + "" + ], + "text/plain": [ + ":Scatter [longitude] (height_segment_height)" + ] + }, + "execution_count": 20, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1067" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "ds_is2['height_segment_height'].hvplot(kind='scatter', s=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e15d5590-e7d2-44fa-a933-45c5bfc66ce8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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waZSYvf/++3jrrbdw//59NG7cGP/++y+qVq2q69iIiIiIjIrGszLt7OxQr149rF+/HvXq1YObm5su4yIiIiIyOqIKzJqammLcuHFFji8jIiIiotITXfm/UaNGuHv3ri5iISIiIjJqohOz+fPnY9q0afj7778RGxuLlJQUpR8iIiIiKh3Rlf979eoFAHj99dchKzA3n7MyiYiIiMpGdGIWEhKiiziIiIiIjJ7oxKxTp066iIOIiIjI6IlOzI4dO1bs/R07dix1MERUNqwvS0Rk2EQnZp07d1bZVnCsGceYEREREZWO6FmZT58+VfqJj49HcHAwWrZsiQMHDugiRiIiIiKjIDoxc3BwUPpxcnJC9+7dsWTJEkyfPl0XMWrNsWPH0LdvX7i7u0Mmk+GPP/4odv8jR45AJpOp/Ny4caN8AiYiIiKjIrorsyjVqlVDRESEtk6nE+np6WjSpAneffddDBo0SOPjIiIiYG9vr7hdrVo1XYRHRERERk50Ynbp0iWl24IgIDY2FosWLUKTJk20Fpgu9O7dG7179xZ9nLOzMypXrqz9gIiIiIgKEJ2YNW3aFDKZDIKgPP+rTZs2WL9+vdYCk5JmzZohMzMT9evXx+eff44uXboUuW9WVhaysrIUt7kaAhEREWlKdGIWGRmpdNvExATVqlWDlZWV1oKSCjc3N6xduxYtWrRAVlYWNm/ejK5du+LIkSNFlgVZuHAh5s6dW86REhERUUUgOjHz8vJS2ZaUlFQhE7O6deuibt26itsBAQGIjo7G0qVLi0zMZs6cicDAQMXtlJQUeHh46DxWIgAqLdlERGRYRM/KXLx4MXbu3Km4/eabb8LR0RHVq1fHxYsXtRqcFLVp0wa3bt0q8n5LS0vY29sr/RARERFpQnRi9tNPPylagA4ePIiDBw8iODgYvXv3xieffKL1AKUmLCwMbm5u+g6DiMjgyeUCYpMz9B0GkaSI7sqMjY1VJGZ///033nzzTfTo0QPe3t5o3bq11gPUprS0NNy+fVtxOzIyEuHh4XB0dISnpydmzpyJmJgYbNq0CQCwYsUKeHt7o0GDBsjOzsaWLVsQFBSEoKAgfT0FIqIKY9rvF7HrQgy+G9oU/ZpW13c4RJIgusWsSpUqiI6OBgAEBwejW7duAPLGtkh9OaZz586hWbNmaNasGQAgMDAQzZo1w5dffgkgL+mMiopS7J+dnY1p06ahcePG6NChA44fP469e/di4MCBeom/orj1KFXfIRCRBOy6EAMAWHmo6OEhRMZGdIvZwIEDMWzYMNSpUweJiYmKumDh4eHw8fHReoDa1Llz52IHR2/cuFHp9vTp0yW/moEhup/4TN8hEBERSZLoxGz58uXw9vZGdHQ0lixZgkqVKgHIa20aP3681gMkIiIiMhaiEzNzc3NMmzZNZfvUqVO1EQ8RERGR0RI9xoyIpCsk4rG+QyAiojJgYkblTibTdwRERETSxMSMiIiISCKYmBERkV5xITGil0QnZrVq1UJiYqLK9qSkJNSqVUsrQREREREZI9GJ2b1799QWks3KykJMTIxWgqKKjWPMiIiI1NO4XMaePXsU/9+/fz8cHBwUt3Nzc3Ho0CF4e3trNTgiIiIiY6JxYta/f38AgEwmw8iRI5XuMzc3h7e3N7799lutBkdERERkTDROzORyOQCgZs2aOHv2LJycnHQWFBERGabgK3HYEnofy95sAmd7K32HQ2RwRI8xi4yMZFJGZSKD4QwyO3E7ATN3XUJaVo6+QyEyCOO2nMfx2wmY89dVfYdCZJBEL8kEAIcOHcKhQ4cQHx+vaEnLt379eq0ERiQFb/9yGgBgZ2WOz/rU03M0RIbjSXq2vkMgMkiiE7O5c+di3rx58Pf3h5ubG2ScYkdG4MHTZ/oOgajiYiEzIgXRidmaNWuwceNGDB8+XBfxEBERERkt0YlZdnY22rZtW6oHGzhwoOhj1qxZA2dn51I9HkkUG1mJiIjUEj34f8yYMdi2bVupHuyPP/6AhYUFHBwcNPrZu3cv0tLSSvVYRERERIZGdItZZmYm1q5di3///ReNGzeGubm50v3Lli0r9viVK1dq3AL2+++/iw2PSCcMaSYpEREZLtGJ2aVLl9C0aVMAwJUrV5TuK2kiQEhICBwdHTV+rH/++QfVq1cXGyLpSebzXMwIuoSu9VzwehN3fYdDRERkcEQnZiEhIaV+sE6dOonav3379qV+LCp/m0/dx5/hD/Fn+MNiEzO2PREREakneoxZvtu3b2P//v3IyMgAAAiCuPnOFy5cwOXLlxW3//zzT/Tv3x+fffYZsrNZ/8YQJaRn6TsEIjJArJZB9JLoxCwxMRFdu3aFr68v+vTpg9jYWAB5kwI+/vhjjc/zwQcf4ObNmwCAu3fvYujQobCxscFvv/2G6dOniw2LDMCtR6mY9ttFRD9hTTCiik7kd3UiekF0YvbRRx/B3NwcUVFRsLGxUWwfMmQIgoODNT7PzZs3FWPVfvvtN3Ts2BHbtm3Dxo0bERQUJDYsMgADV5/E7+cf4Is/DW+pligmk0REVA5EJ2YHDhzA4sWLUaNGDaXtderUwf379zU+jyAIiuWc/v33X/Tp0wcA4OHhgYSEBLFhkQFINeD1Ji/HJOs7BCKDdvxWAgauPoGIuFR9h0IkaaITs/T0dKWWsnwJCQmwtLTU+Dz+/v74+uuvsXnzZhw9ehSvvvoqgLxF0l1cXMSGRRL0LNtwEzEi0q531p3GhagkjN10Tt+hEEma6MSsY8eO2LRpk+K2TCaDXC7HN998gy5dumh8nhUrVuDChQuYOHEiZs2aBR8fHwB5tctKu7IASceif26g/pf78d+tx/oOhYj0ZHfYAwxYfQKPUjIV27i4OVHxRJfL+Oabb9C5c2ecO3cO2dnZmD59Oq5evYonT57gxIkTGp0jNzcXT58+xdGjR1Xqmn3zzTcwNTUVGxZJzJqjdwAA8/deR/DUanqOhoj04aOdFwEAX++9rudIiAyH6Baz+vXr49KlS2jVqhW6d++O9PR0DBw4EGFhYahdu7ZG5zA1NUXPnj2RnKw6bsfKykplNQEiIjJcaZnP9R0CkcEQ3WIGAK6urpg7d26ZHrhRo0a4e/cuatasWabzEElRQloWNp28h8H+HvBwVB2TSWSs1NW8FFsHUxM5uXLkCgIszdgDQ4alVIlZZmYmLl26hPj4eMXMynyvv/66RueYP38+pk2bhq+++gotWrSAra2t0v329valCY1IEqbuCMfx2wn437kHCP2sq1bOefVhMmwtzODtZFvyzkRGrsu3R5CYlo2wL7szOSODIjoxCw4OxogRI9SWtJDJZMjNzdXoPL169QKQl8gVXGNTEARR5yGSotC7iQCAuAKDnsVKSMvCrUdpaFPLEQlp2Xh15XEAwL1Fr2olRqoYBEHAZ7svo5ZTJYztWEvf4Sjou75s9JO8VWnuxKejvju/6JPhEJ2YTZw4EYMHD8aXX35ZprIWZVlzk8gYtFt0GFk5cqwb6Y/KNhaij3+Ukom0rBzUrlZJB9GRVJyOfILtZ6IBQFKJmRgFv5wTGTvRiVl8fDwCAwPLXGtM7ILmRMYmKydvmMDRm4/Rr2l10ce3XnAIAHB2VjdUs9O8xiAZFtYLJKpYRM/KfOONN3DkyBGtPPh///2Hd955B23btkVMTAwAYPPmzTh+/LhWzk+GZdE/N/DuhjPIleu7E6Riufs4Td8hECkIAFIzn0POv3MitUS3mK1atQqDBw/Gf//9h0aNGqmUtpg8ebJG5wkKCsLw4cPx9ttv48KFC8jKygIApKamYsGCBdi3b5/Y0MjA5dc+O3knAR3qsPYZkaF5WqB4bFEzLZ9l56LRnANo7+NUXmERGRTRLWbbtm3D/v37ERQUhO+//x7Lly9X/KxYsULj83z99ddYs2YNfv75Z6Xkrm3btrhw4YLYsDRy7Ngx9O3bF+7u7pDJZPjjjz9KPObo0aNo0aIFrKysUKtWLaxZs0YnsVVUN0qxLl5OLr9JE2lKB5UmSu3Js5eJWUkNYsdvv5xApotyGYpz630aApE4ohOzzz//HPPmzUNycjLu3buHyMhIxc/du3c1Pk9ERAQ6duyost3e3h5JSUliw9JIeno6mjRpglWrVmm0f2RkJPr06YMOHTogLCwMn332GSZPnoygoCCdxEd5zt57ou8QykybY5k5LJqkRhAEnL//FCk6Khyry0SNSOpEd2VmZ2djyJAhMDERndMpcXNzw+3bt+Ht7a20/fjx46hVSzczi3r37o3evXtrvP+aNWvg6empaAmsV68ezp07h6VLl2LQoEE6ibEiEjuWZPWRO5jey09H0RBRWf1zJQ7jt15A9crWOPHpK2r3Ke0XiugnzzBg9Qm8264mJnTxKX2QRAZKdHY1cuRI7Ny5s8wP/MEHH2DKlCk4ffo0ZDIZHj58iK1bt2LatGkYP358mc+vDadOnUKPHj2UtvXs2RPnzp3D8+fqvylmZWUhJSVF6cfYvfr9cfRfrdk6qqR9LEVA2rb3ciwAICYpQ+vnXvTPDSSkZeOb/RFaPzeRIRDdYpabm4slS5Zg//79aNy4scrg/2XLlml0nunTpyM5ORldunRBZmYmOnbsCEtLS0ybNg0TJ04UG5ZOxMXFqZQFcXFxQU5ODhISEuDm5qZyzMKFC8u8XFVFcz2WyWlZyGQyrXaNUsVS0Xr9OCaMjJ3oxOzy5cto1qwZAODKlStK94n9Zj5//nzMmjUL165dg1wuR/369VGpkrSKYRZ+TvljH4p6rjNnzkRgYKDidkpKCjw8PHQXIBGRBEklvZJxlCYZGNGJmbYq9r/33nv47rvvYGdnB39/f8X29PR0TJo0CevXr9fK45SFq6sr4uLilLbFx8fDzMwMVatWVXuMpaUlLC1ZzNPY5X0YSOOjac/FGLSq6ajvMMiIifnSru1Eii1wZGjKNoK/DH799VdkZKiOT8jIyMCmTZv0EJGqgIAAHDx4UGnbgQMH4O/vr9KFS/oVfCUWRyLi9R2GJG0JjcKJ26pr2xIRkfSIbjEbMGCA2m8/MpkMVlZW8PHxwbBhw1C3bl21x6ekpEAQBAiCgNTUVFhZWSnuy83Nxb59++Ds7Cw2LI2kpaXh9u3bituRkZEIDw+Ho6MjPD09MXPmTMTExCgSw3HjxmHVqlUIDAzE2LFjcerUKaxbtw7bt2/XSXxUOglpWRi3Ja/23d0FfWBiYpxdF39dfFjkfddjU9COBT0rpIrQHqQ0cVsLf75cpooMmegWMwcHBxw+fBgXLlxQJGhhYWE4fPgwcnJysHPnTjRp0gQnTqifhVe5cmU4OjpCJpPB19cXVapUUfw4OTnhvffew4QJE8r2rIpw7tw5NGvWTDFGLjAwEM2aNcOXX34JAIiNjUVUVJRi/5o1a2Lfvn04cuQImjZtiq+++gorV65kqQyJSXqmm1pKhmbS9jB9h0DGQoNs8Pz9pxqfLurJszIEo+zSgyTU/3K/1s5HVN5Et5i5urpi2LBhWLVqlaKWmVwux5QpU2BnZ4cdO3Zg3LhxmDFjhto1L0NCQiAIAl555RUEBQXB0fHl2BcLCwt4eXnB3d29DE+paJ07dy62cOHGjRtVtnXq1ElnKxEQaaqizbwj0pWVh26XvBORhIlOzNatW4cTJ04oFZg1MTHBpEmT0LZtWyxYsAATJ05Ehw4d1B7fqVMnAHndiJ6enqyxRFQC/olQcSpalXxtv9wr2OUhIyC6KzMnJwc3btxQ2X7jxg3k5uYCAKysrEpMuLy8vHD8+HG88847aNu2LWJiYgAAmzdvVtvSRqQJybwHl+HTJVcu4H5iuvZiIdKyMwWWTVu477oeIyGqeEQnZsOHD8fo0aOxfPlyHD9+HCdOnMDy5csxevRojBgxAkDewt8NGjQo9jxBQUHo2bMnrK2tceHCBWRlZQEAUlNTsWDBglI8FTJWFa1F6cMt59HpmyOK2/GpWRXuOZJhe5yapfj/T8derpGsjZcpe1HI2Inuyly+fDlcXFywZMkSPHr0CEBeNfyPPvoIM2bMAAD06NEDvXr1KvY8X3/9NdasWYMRI0Zgx44diu1t27bFvHnzxIZFFVRq5nOM/vUcXm3khpFtvfUdTrk4cO2R0u29l2Ixun1NPUVDZNiY55GhEZ2YmZqaYtasWZg1a5ZiHUh7e3ulfTw9PUs8T0REBDp27Kiy3d7eHklJSWLDogpq3fFInIl8gjORTySRmKVkPkdKxnPUqGKj71CIAEio+14L/gyPwQURsznVq0hXhIxRqQrM5uTk4N9//8X27dsVzc4PHz5EWlqaxudwc3NTqimW7/jx46hVq1ZpwqIK6Fl2rqj9dT0QuvGcA2i/OEQnizcTGbMrMcmYsiOcf1tk9EQnZvfv30ejRo3Qr18/TJgwAY8fPwYALFmyBNOmTdP4PB988AGmTJmC06dPQyaT4eHDh9i6dSumTZuG8ePHiw2LjJg+eipKqtEktd4TjtshXeq14hjikjPLdI7Qu4laikYZZ2WSoRGdmE2ZMgX+/v54+vQprK2tFdsHDBiAQ4cOaXye6dOno3///ujSpQvS0tLQsWNHjBkzBh988AEmTpwoNiwiIirBzrNR6LH8KKK1WNAVAG7EpWJxsOpsfTG+3qs6uzM2OQPnCswAJTIGoseY5c/EtLCwUNru5eWlKHmhqfnz52PWrFm4du0a5HI56tevj0qVKokNifRox5ko/H0pFj++01wn5xc73oRfjsmYxSRloKqtBazMTdXePyPoMgBg3t/X8PMIf60+duZzccMONBGw8DAA4K+J7dGohoPWz08kRaITM7lcrqhXVtCDBw9gZ2cnOgAbGxv4+2v3DYLKz6e78t7ofzp6t4Q9S+dcgcRs9MazqO9uj497KK/DWrCbrry6LdgxSPqWkvkcKw7ego3FyySs3aK8RObeoleLPVZsEiUIAj7YfB7WFqb4bmgz0bFmiBwrWtj5+0+YmJHREJ2Yde/eHStWrMDatWsB5H0opqWlYfbs2ejTp4/G58nMzMT333+PkJAQxMfHQy6XK93PZZAMS1pWDizNSzWXRGOHbsTj0I14lcRMH8p7yBYTQSps4b4b2H4mquQdNZCTK8f0oEtoU6sq3vT3ULk/JilDUcZl8aDGos9/Skfjx9ThmDIydKWqY9alSxfUr18fmZmZGDZsGG7dugUnJyds375d4/O89957OHjwIN544w20atWKg5MrgJ1no/XyuEW9cjKyc/Hh1vPo6ueM4QHeSvfFJGXg+sMUdK3nXKrXnszAUqXcQl98yPDdfJRa5H1yuQATE81fo3+EP8SuCzHYdSFGbWKmSbIj1YQoPjUTwVeeoXt9V5iKuCZE+iI6MXN3d0d4eDh27NiB8+fPQy6XY/To0Xj77beVJgOUZO/evdi3bx/atWsnNgSSIEEQkPTsub7DULL19H0ciXiMIxGPVRKz/C6fNe+0QK+Grhqd73nuy+TmwdPiB09L7XvGjdiiP8Sp4nl341n8+l4rjfdPepZd7P2aJF3BV+MwvZduWrPL8sX9vY3nAABzX28giVqIRCURnZgBgLW1Nd599128++67pX7g6tWrl2pMGlFxhALD/1Mzc0rc/3RkosaJ2dbQ+4r/l1QuQ9vK2hgh0cYM0pGjNx8Xe398Slax9wN5X7be23gWjraWmNK1jrZC05uQiHgmZmQQRA8K+vXXX7F3717F7enTp6Ny5cpo27Yt7t+/X8yRyr799lvMmDFD1DEkXVL84Nckpg0n7mm8YPg2LY3nIdK3iGK6QfPdik9DSMRjBF14oPF5dTUkRSYDnqRn46EGxWel1lpt7HRd9LsiEp2YLViwQNFleerUKaxatQpLliyBk5MTPvroI43P4+/vj8zMTNSqVQt2dnZwdHRU+iHDou2/vTuPNV9FoqxvxFN3hmu0381HL2Pimz/pmzZfguoSqly5+D/qi9FJWohGveZfHUTbRYeRXMKQiaLei5gflL91xyPRZuEhRCZo9uWX8ojuyoyOjoaPjw8A4I8//sAbb7yB999/H+3atUPnzp01Ps9bb72FmJgYLFiwAC4uLhz8T0quPkyBd1Xbsp1Ew3fiJ+nFj68hMnaZOZqVu9D0S05Z3E1IQzPPKjp/HCq7r/6+BgCY99dVbHhX8zGPxk50YlapUiUkJibC09MTBw4cULSSWVlZISND8zXOTp48iVOnTqFJkyZiQyAJEnTQmXnqjvgp9oLwsulcl1+QS5qVqe1Zm//dTCjT8exOoLIYvu60Xh+fX9sNG999xClVHbMxY8agWbNmuHnzJl59Na+Q4dWrV+Ht7a3xefz8/EQlciRt2v7cFwQBaVmlm+U56MeTkAtAO5+qGj7Wy/+fv/8Uv52LxvRefnC0tSj6oHK2/N+b+g6BDNTW0/eRKxcwotDM5IJSMl7+raVmPoedlbnS/Y80mCwgdUwOyFCIHmP2ww8/ICAgAI8fP0ZQUBCqVs378Dt//jzeeustjc+zaNEifPzxxzhy5AgSExORkpKi9EP0+R9XNNqvYOtU0rPnuBCVhPDoJCSmie+iHPTjSew4G425f10t/jFFfIVPzyp5dmhZXYlJLvZ+fihVPCW9BrNz5MjIzsWs3Vfw5Z9Xiy2JUbAUTE6u9F4tpRnvRtLBFk9xRLeYVa5cGatWrVLZPnfuXFHn6dWrFwCga9euStsFQYBMJlO77BNJly7eNhNKkVgV7FLVtBVPXTdsSYNVS/pQLHjOn/+7i6ndfDULppRmlZDEsifT+Lzy7RHsndxBcTsrp+giw1J/eQRdELcOM0kLx5CLU6o6ZtoQEhKir4emMsqVCyoVtHfr8Y2z4N/8nD0vW7oep2nW/RL9JAP/OxettuK5Nqz495bOE7OSSP2Dl7TvwdOMMv3ipZTMxyZnarxvUWFznCUZinJNzC5duoSGDRvCxMQEnTp1KnH/q1evom7dujAz01v+SIUcu/kYYzedw8KBjTCweQ3F9gyRiyKXpLTvofuvPlL8//CNeI2Pm/77JdSupvksUKktyRSXXPx4TX4oUXHdgdJ6Nasq+OWruFfyyPVnSiyuS+VP6q8vqdHtqtOFNGvWDImJms+0CwgIQFQUi3pKyehfzyIrR47A/13U6ePoYpZnSaKeFL/MkpIS3mnKO3GrCIOzSRxNXmNXHhY/9rA4BcedGYKEtCwmZVQhaNQUtWfPHvTu3Rvm5uYl71wMQRDwxRdfwMbGRqP9s7NZX0pqnktwYLAmfvnvLt5q5QlbS+NsfX1awlqIVDG9/cvLMhdih/nsufhQy9GUnqyI/xeUWUKrPRuN9YdDzMTR6FNqwIABiIuLQ7Vq1WBqaorY2Fg4OzuLfrCOHTsiIiJC4/0DAgJELYxO2nHydgKqV7GGV6ECr3EixnmUlbbfRL/eex33EtPxdf9GGu1vSO8jYVElr9t54rb4mnBk3MpjNrGmNPlgL2mAeVxK+b1/UWGG9I6qfxolZtWqVUNoaCj69u2rmDVZGkeOHCnVcVR+Lj9IxrAX37LvLXpV6b7yXCtSTGKm6b6lKVhbFH2+zbRbdBiLBjVChzrVAAC3Hmm+fBUZr+K6PqXeoqGNoQG34/l3oi9Sf31JjUZjzMaNG4d+/frB1NQUMpkMrq6uMDU1VftDhu1STJK+QxDt1N2yVcXPJyYZ1Of075ikDAxfd0Zvj08SoeOXoKF1/fGzX7qectk7UTRqMZszZw6GDh2K27dv4/XXX8eGDRtQuXJlHYdGYk3//SIEAfhmcN4yV3K5gM2h99HCqwoaVnfQc3TiiPlMyBY57u38/SfigiEiySjqr52tMtJ17n7Jwy3oJY1HQvv5+cHPzw+zZ8/G4MGDNR7AT+Uj6Vk2/nfuAQDgsz71UMXWAn+Ex2D2i7pehbslpU5UeQeRX+3/va5ZGY2ylJjINbTmBqrwipvprK6rsKhERx8v7Ry5Yc0QJSoL0VPUZs+eDQB4/PgxIiIiIJPJ4Ovri2rVqmk9ONJcwRpF8hfvnDfiUvUVTrmSUgr0ODULVWzKNnuZSBeKG6cl9S8SmqwCIrXagkSlJToxe/bsGSZOnIjNmzcrlk0yNTXFiBEj8P3337MlTQKk/RarGV2ujafxUk3F7KfuI+BKTDJe+/44/L2qlCquvMesCL89Kg/aTEN+PHJHZZuhvRTZlUkVhegCsx999BGOHj2KPXv2ICkpCUlJSfjzzz9x9OhRfPzxx7qIkTSgrcHoUvnW+emuyxrvKybi8/efYs1R1Q8hAEgrWB6ghOtpoubu/52LBvBiPEUpP9SORLBAJpUPQ/0SII13KCLdEZ2YBQUFYd26dejduzfs7e1hb2+PPn364Oeff8bvv/+uixhJJF2930rxDfHHI3fwxZ9XS97xhbGbzhV535cFz1PCRfwjXDfFN49EaL6MlIIUfzEkOWK/uxU5xqxCtMkTSVepujJdXFxUtjs7O+PZMxFL2pBWGetn8+LgGxrvK5PJRHWRlunjx1h/ISRZk7aHido/6dlzHUVSNur+Lm/Hp2H+3mvlHguRLohuMQsICMDs2bORmfmyinJGRgbmzp2LgIAArQanC6tXr0bNmjVhZWWFFi1a4L///ity3yNHjkAmk6n83LiheTJQkVSE78madt/ceZyOn46p7/IsilIuVsqLpc/6aGRYxL5UzkSKKxMTfDVO3APo0aAfTyKEwwCoghDdYvbdd9+hV69eqFGjBpo0aQKZTIbw8HBYWVlh//79uohRa3bu3ImpU6di9erVaNeuHX766Sf07t0b165dg6enZ5HHRUREwN7eXnFb6jNQy9LVUNyb/cpDt0p9Xm36cMt5fP9WM5iZivtekZap+RIzaVk5WBKs+fJhgHJSxe4ekrqUjBw4qJlBbIiv3OQMabbuEZWG6Bazhg0b4tatW1i4cCGaNm2Kxo0bY9GiRbh16xYaNGigixi1ZtmyZRg9ejTGjBmDevXqYcWKFfDw8MCPP/5Y7HHOzs5wdXVV/EhxhQN1CVVZ214Cd4aX8Qy68c+VOOy7Iv7bfFxKpkF+6BTl3D0WyjVmZR1L2mlpiNrtj0pYU9JA5wwQGQzRiRkAWFtbY+zYsfj222+xbNkyjBkzRvKLjWdnZ+P8+fPo0aOH0vYePXrg5MmTxR7brFkzuLm5oWvXrggJUf9mli8rKwspKSlKP+VOS2+cu8JikCzRcSbPSrnAcqqIVjNdiUvOxMxdl3AjrmyvjXXHI0XtP2HrhTI9HlUsRY0h6/1d0cM7iEj3SpWYGaKEhATk5uaqTFxwcXFBXJz61hc3NzesXbsWQUFB2LVrF+rWrYuuXbvi2LFjRT7OwoUL4eDgoPjx8PDQ6vMoSlnLXGTl5KLfquP46m/lAbTsktO+ydvDsP1MNHqtKN8PwL2XY8v18Ui3OByRqGISPcbM0BUeXC0IQpEDruvWrYu6desqbgcEBCA6OhpLly5Fx44d1R4zc+ZMBAYGKm6npKSUW3KWL/ppBsKjk/D3Jc0/iA9cfYSLD5JVtheX8CU909/CtFJMFzX9oLxeTEuZrj9s7z5OQ61qlXT7IFShSfFvj6giMZrEzMnJCaampiqtY/Hx8WrLfxSlTZs22LJlS5H3W1pawtLSstRxasOgH4vvmlWnyDISxSQKv568L/pxKrLyLs6bn8SJedRXvj1qcOumku7k5Mrx3q9F1/YjovJnNF2ZFhYWaNGiBQ4ePKi0/eDBg2jbtq3G5wkLC4Obm5u2wys7HeUEqZnPkZ2jfgFhdnMWTexyTkT6EBLxGMduqpaZkOtwSbSyepquv5Z6ovIgusWsVq1aOHv2LKpWraq0PSkpCc2bN8fdu3e1Fpy2BQYGYvjw4fD390dAQADWrl2LqKgojBs3DkBeN2RMTAw2bdoEAFixYgW8vb3RoEEDZGdnY8uWLQgKCkJQUJA+n0a5ar84BK72VvhvRheV+zg7S5mm3ZAVbfks0g9t/P6L+tI1RaIzsgHgSaHE7P1iVvMg6fn2QATuJT7DyqFNWbexCKITs3v37ikWLy8oKysLMTExWglKV4YMGYLExETMmzcPsbGxaNiwIfbt2wcvLy8AQGxsLKKiohT7Z2dnY9q0aYiJiYG1tTUaNGiAvXv3ok+fPvp6CkXS5es7LiUT9xPTdfcApRDzNEPS3+qLU1zNJTEftmFRT0v1+Dm5ctE14Mi4/HWx6CXH9L3GZuFHP3DtkV7ioNL5/vBtAMCotl5o4eWo52ikSePEbM+ePYr/79+/Hw4ODorbubm5OHToELy9vbUanC6MHz8e48ePV3vfxo0blW5Pnz4d06dPL4eo9M/QvrisCrmNB0+ltQSYJpfw5qNUrT3ew+S8elMl1Z0qbPvZaAxv46W1OMhwGdrfPQDOPtCBjOxcWFuUb33OrOfqW2tJRGLWv39/AHndMCNHjlS6z9zcHN7e3vj222+1GhxpTh/vr9/peSUAXS0kXlqafMgVt4h6aS09cFPU/jfjtJccEpFh++dyLD7cegEze/vhg0619R2OKJnPc/Hv9Ufo4FNN7SoWhkrj/gy5XA65XA5PT0/Ex8crbsvlcmRlZSEiIgKvvfaaLmOlMvj70sMydUFsCY0qeScqUXxKVrH3G2QLBumFNl4rhvhyq1nNVt8hVCjTfrsIAFj4T/muAa2Nhs/5e69j4rYwjFh/Wgtnkw7RA00iIyPh5OSki1hIhyZuC8O+y0UvY1RSzrbx5D3tBlQBKa+Vqex5rnSa7Zn8VQxppVz9oqz0PbTz93MP9BsAaYU2hir+EZ43rl1dDU5DVqo6ZocOHcKhQ4cULWcFrV+/XiuBkTiazG45e+8JXm0swVIfFUTB30Dh1sk+3/2Hg4GdRJ2DqDi349PKfI7SJOk7zui39XznuWgsfqOxXmOoqC5GJ2HyjjB81qceejZw1Xc4Rkt0i9ncuXPRo0cPHDp0CAkJCXj69KnSD0lXkUVkwVYUrSjmGt7SwocokbaVptUi6AJbrCqqMZvO4X7iM3yw+TxuaXGikjraqIMphbWPdUF0i9maNWuwceNGDB8+XBfxEJGOMQenfB9yYXsqIDP7ZSms7suP6XSVENbBLJroFrPs7GxRlfKJjJG+x+EU50JUkr5DIAN28xFbfysSpbcqLX5rk9K4WkMjOjEbM2YMtm3bpotYSI/2iljwnNQrayX2W49S8cvxSFHHrDl6R/TjXI5JxqTtYTh1J1H0sURUcWmzNT34StGTzQBIrmi5lGjUlRkYGKj4v1wux9q1a/Hvv/+icePGMDdXrh2ybNky7UZIGtHkD6q4Pn1Wzy67so7TK02Ns0WlnOL+18WHSEjNQkDtqiXvTEQkUsZz1RWCCvriz6uobGOBvk3cyykiw6FRYhYWFqZ0u2nTpgCAK1euKG3nuldkTGKTM+DmYK24XdZXf34l//Jy5WEyBEHA0ZuP4eZgjbquduX6+FQ2fLcV79rDFNR3t9d3GJJV3p/hG0/ew2uN3SAXAFMTvqLzaZSYhYSE6DoOIoMTsPAwLs7ugeuxKfjq72uwtSz+z+l5rlylVe1hUgbcK+cld0UtKK0rqZk5OHDtET7YfB4AdDrQl7QvPbv4FglSdSs+lYlZMbSZl8UmafZF862fQxF69wn+m94FHo42Gp///P0npQ1N8riScQWRkln0wtj5ipoFY6iLgUtB9JNnGLo2FFcfpuBMZPFvFIPXnFLZtu+yfsf2/fmiQCORMTBhr065Wf6vZkvFhd7Ne9/ssERcA9DPx8SNxzUkostlDBgwQG1zp0wmg5WVFXx8fDBs2DDUrVtXKwFSyRYH38CPR0oeBF5U+vW/c9HaDYjUCo9Ogk2hhYJvvFi3sizLZZXFjVium0mGRxCEUnW78SuoqoJvPZpeUUEQMH7rBTjbWWJuv4YaHROTlIHqla2VtslZM0Mt0S1mDg4OOHz4MC5cuKD4wwgLC8Phw4eRk5ODnTt3okmTJjhx4oTWgyX1NEnKivM3Z2SW2m9lTGpTX7R0xqWU7/iyfHcTODOKDE/Ssxd/NyLHZerrC5ChKCnZDbkRj3+vPcKNuFT8cyUOv566r/G541MysfOs8qoRYSzdo5boFjNXV1cMGzYMq1atgolJXl4nl8sxZcoU2NnZYceOHRg3bhxmzJiB48ePaz1gKj024mufmDcmdfK7VqTweVHaVgii8paZkze+7kl6tp4jqbgKj8XPfJ6LdzeeBQBsG9O62GMfJmWobIt+moEZQZe1Fl9FJrrFbN26dZg6daoiKQMAExMTTJo0CWvXroVMJsPEiRNVZmySbmhjACQ/i8tP4QRMSmNeiluyi6Qjh4U7sf9FjayM5+KW5JHCFyApK/huVHgyU3aB113BiScZaiahfPy/iyrboli3TGOiE7OcnBzcuKFaO+nGjRvIzc37BVlZWfGbdzkZ9KPqgPKi8D1JeqT0Z5LDxEzy9l6KRYPZ+/H7eeNerzL/pbokOELkcXyNF1bwPehZgSSrUqHELCVD/QSzn/+7q7LtQdIzlW1LD2g2GYBK0ZU5fPhwjB49Gp999hlatmwJmUyGM2fOYMGCBRgxYgQA4OjRo2jQoIHWgyVlHC9h+I5EPAYAZJVzqQx1nufKYWVuWvKOpDdn7z1BVo4cc/dc1XcoejXv72t4s6UHTpcwE7owfvdQVbDVvmBR2IItZnK5gPaLX86aXH3ktuL/jwqNj42IS0X0E9WuTG06eTsBwVeVVxYoXFfSkIlOzJYvXw4XFxcsWbIEjx7lVYt3cXHBRx99hBkzZgAAevTogV69emk3UlKx5+JDUfszj9O/wi1kaVl5XTH/6mHlBROZ8gfV81y+QAxFapa4LryKaPlB8S0w/DKrqqhG+4KJ2XO58hfH4gbt91xxTAtRFW/YL6dVtr274SyCp3bU+WOXB9GJmampKWbNmoVZs2YhJSUFAGBvr1ywz9PTUzvRUbHyW1vIcDwroihooh4GMdeuVgm34l8uSM2xS9LHxOKlO4/FL6Z+LTZFB5EYtqKS/IKD/w3hZZdfeqgiKFOBWXt7e5WkjMqP+Ddp9ftzPKD+lWYx8rLydbWDhenLt4Dn7OeRvPxfkYUZa4OXxoYT9/QdgmQVrrEY81Sz7sj80iWkPRq1mDVv3hyHDh1ClSpV0KxZs2I/yC9cuKC14Kh42voYvcdaVkbJ0tQEdV3tcDkmGUBed+r12BR88Vr9EpeXIv0QXvzVv9XSo8ylWgydIbTiSE3hkjjPsl+2lnk62ii1OsWnZqHXimOY0csPAbWrFnnOvZdj8YNuwlXx87G7SMqo+CVSNHr37devHywtLQEA/fv312U8JMK5e0/LdPyFqKfYE/4QUU9UZ9CQEZABDas7KBKz2S8GlNdxscPo9jX1GRkVIb/FrIqthX4DkQCWdxHnSXo2+n5/HK82dsNnfeoBAK4X6NpVdz1vxKXi3Y1nceLTV8otzuLM33dd3yGUC40Ss9mzZ6v9P+lXjJoifmIMXH1SS5GQIZJBhkbVHbC90HZ1i6kfvPYIs/+8gvkDGqGLn3P5BEgq8te1lVL9O3259CBJ9DG9G7pqPxAD8c+VWMQkZWDtsbuY2dsPMpkMlx4kK+4vuIpCjSrWeFCgK7PdosPlGqs6xjS+slQDFZKSkvDLL79g5syZePIkb7ryhQsXEBPDBZGJDIVMBjT3qqyy3cNRecp5WlYOxm46h4fJmYrK31R+nufKEXwlDiPXn8HOF0uAmZtyjFlpxsa62FvpIBLD4Obw8rnHp2YBgKK1HHg5CaBDHSc0dHco3+A0YER5mfjE7NKlS/D19cXixYuxdOlSJCUlAQB2796NmTNnajs+0qKCL2xj+vZBRfNzVZ28Y1ZoLZanXPZGL6KfPMM3+2+g7aLDGLflPI7efAxBANr7OOH1pu76Dk/vStNouPHkPa3HYSgsTF8O7s8fS3a5QItZPld7K6UvZ682ctN9cBowpuLAokf4BgYGYtSoUViyZAns7OwU23v37o1hw4ZpNTjSroKva9ZBovzPtVpOtkqLmRd+/yuqxAdp3/NcOf699gjbzkTh+O0Exe/CqZIF3mjhgaEtPeDtZKvfICWCnbni/BH+skcrIi4F/l5VcFtNyRFXBys421kqbttammLTe60wYv2ZcomzKMaTlpUiMTt79ix++uknle3Vq1dHXFycmiNIKoQCL+1HyZnF7EnG4OKLMTpmpsV/xKVnKyfxFanCtlTcT0zHjrPR+O3cAySkZSm2d6jjhLdaeaJbPReWyNCCUW299R2C3hRcxutGbCquxaao7R50sbdCjSov/75lkKG9j1N5hFgsI2owE5+YWVlZKQrLFhQREYFq1appJSjSjYKDumOZmBm9m4/yvi2bmSh/4F+IeopeDV0VY3jkhWZrnb//FK81llZi9jQ9GzlyAdUKfNOXuuwcOQ5ee4TtL1rH8jlVssSb/jUwtKUnPKva6DHCiqdwrS5jdSMuVWngf0Eu9lbwcHz5upPKPBN2ZRajX79+mDdvHv73v/8ByBuAGRUVhU8//RSDBg3SeoCkPWcLlNeIY2JGL5gXaon5+b9IJGc8x9f9G8HCzATphboyz0Y+wWuNpTPGSRAENPvqIADg2ryesLGQdg22ewnp2H42Cr+fe6BY8UEmAzrUqYZhrTzQtZ4LB/droDTlMnKN6MO9oOeFVvW4HZ+G8OgkAIB3VRvcS3xZMsnV3grVK7/84vX0WfmNMT1wNQ49GhjvzNl8ot/Bli5dij59+sDZ2RkZGRno1KkT4uLiEBAQgPnz5+siRlIjK0f8uJ+C5TXiUpiYkarxnWtjzdE7+N+5B4h68gxr3mmBZ4XGI4pdOFrXCn5AxyZnona1SnqMRr2snFwcuJrXOnbyTqJiu7OdJd7098CQlh5KrRRUstKMfcw10vVgb8QqL1eUnSvHoet56/M2rlFZKTFzcbCElfnLlsUHTzPKrdXs/c3nceGL7nBUU6ePLWbFsLe3x/Hjx3H48GFcuHABcrkczZs3R7du3XQRHxXhcWpWyTsVg12ZlC+hwGvpk5510dLbEZO2hyH07hMMWH1SZVZWxKNUJD97Dgcb8/IOVS0pv13ffZyGHWej8fv5B3hSoHWsk281vNXKE6/4ObN1rJRy2GKmsQtRqsXI8xPbxjUcsOfiQwB5M7KdbJWHA5S1XqZYqZnP1SZmxvSrK3Wb/yuvvIJXXpFGNWBjlKWmCKgY289EaSkSMnQFvw3LZDJ08XPG7x8GYPTGc4hMSMeqkNsAgNrVbJGamYP41Cycu/8EXeu56CnioknhzTsrJxfBV+Kw/UwUQu++bF10sbfEEH8PvNnSAzWqsHVMH4x1tYDz99WvEuPmYAXnArXdnO0sYVKoXE55r4VZVPFkY/rNlSoxO3ToEA4dOoT4+HjI5coJwvr167USGBXvz/CHpT428znLH9BL6lps/FztsXtCW4zddB4XX4xFsbc2h7+XI3aei8aZSGkmZvocqHw7Pg07zkQh6MIDPH3xYWYiAzrXdcZbrTzRpW41mLF1TK9K08pWERSVmDWq7oCCeZhLgSK0o9vXxLrjkeU+k/Xps2y13frsyizG3LlzMW/ePPj7+8PNza1U1Zep7NQtm6Ops/ekNUaI9KtwQdl8znZW2Pl+G/h9EQwACItKwjutvfISMwm9hgq+X5f3u1Hm87zWsW1nonCmwNg7NwcrvPmidazgQGrSr8IzjI1BXHImYpIyYCID/vdBAJ4+e46xm84ByE/MXv7VuBZoPfu0tx96N3RFE4/KJT5G5vNcWJmbqu0yFWvb6Sg0rqH6mEaUl4lPzNasWYONGzdi+PDhuohH51avXo1vvvkGsbGxaNCgAVasWIEOHToUuf/Ro0cRGBiIq1evwt3dHdOnT8e4cePKMWL1hFI07OZPFT9+K6GEPak86XuGrGkRiRkAWJmbwtxUhucvBk23qukIIK9i+LPsHL3PgHyUkoml+yMUt4t7Ltp061Eqtp+Jxq6wB4quHhMZ8IpfXutYJ1+2jknRcyMc/J+fLPm52sPf2xFJBWZZNqrhoNSDUnDJKnNTE/h75/29l7RSjN8XwRjdvibWn4gUFZuthanKrO+gCw8wo5cfqhQaZ2ZMq9WIflfNzs5G27ZtdRGLzu3cuRNTp07F6tWr0a5dO/z000/o3bs3rl27Bk9PT5X9IyMj0adPH4wdOxZbtmzBiRMnMH78eFSrVk3vpUFK8xr1qppXMfw/JmaSMnvPFb0+fkmDz38Z2RIj15/BJz3rokYVa7g5WCE2ORPhUUloq6fCk+lZOVh77C7WHruLjAIfLLaWuksUM5/nYt/lWGw/E6VUesbdwQpDWnrizZY1WHhX4nLkZRuba4jyuzFbeFUBAFS2sUCbWo64n/gMzb2q4FSBWcJFrSWqSc/YuuPikjIAsLYwU0nMnucK2BJ6H5O61lHabkR5mfjEbMyYMdi2bRu++OILXcSjU8uWLcPo0aMxZswYAMCKFSuwf/9+/Pjjj1i4cKHK/mvWrIGnpydWrFgBAKhXrx7OnTuHpUuXFpmYZWVlISvr5Sw3dcV4taE0g1jTsp4jIS0L12J1ExOVzv6rj/T6+CVV/u/kWw1X5/ZUJD0tvR2x5+JDnI58Uu6JWa5cwO/no/HtgZuKhZibe1bGhagkALp58775KBXbTkdh14UHSMnMKx1iaiLDK37OGNbKEx19q5VbSx2VTY4RtpgVTswAYOuYNsiVC7AwM1HuynQofYFmNwcrLBjQCO9uPCviKPW/j19P3cPYjrWUynYY029Oo8QsMDBQ8X+5XI61a9fi33//RePGjWFurjxlftmyZdqNUEuys7Nx/vx5fPrpp0rbe/TogZMnT6o95tSpU+jRo4fStp49e2LdunV4/vy5ynMHgIULF2Lu3LnaC7wIpRkImZaZgxMvKozXc7PHdSZoRm3RwEYAAHOTkrvcCrZEtaqZl5iV91jFYzcfY8G+64oFmD0dbRTjYGrO3KfVx8rIzsXeF61jBQdOV69sjaEt88aOFdW6QNJlbC1mmc9zcfVhXoX/gomZqYlM8WWiYIN5WV7TBz7qCDsrcSV0EtKUi9cOal4DoXcTEZOUgV0XYjCstSeO3XyMTafuI7C7b6ljMzQaJWZhYWFKt5s2bQoAuHJFuQtGyhMBEhISkJubCxcX5ZlkLi4uRa7xGRcXp3b/nJwcJCQkwM3NTeWYmTNnKiWyKSkp8PDw0MIzUFaaloHUzBxFN2aHOk5MzCSicOXt8jLYP+91Kba1p/WLcWYXop4iO0eu8zUcI+JSsWDfdRy9+RgA4GBtjkmv+GB4gBcszbS7xM6NuBRsPx2FXWExSC3QOtatXt7YsQ51pNM6pq/XjSEztppxl2OS8Tw3b6mygutfFiQrYvC/WGKTMnU6162Gem52+Hrvdfzy310MbemhWDz9YTnXU9MnjRKzkJAQXcdRbgonj4IgFJtQqttf3fZ8lpaWsLTU/Xp9penKzJEL+PdFtecOdZyw9thdbYdFpbBgYCMM+/l0uT9ufoJRUldmYT7OlVDFxhxPnz3H5ZhkpW/i2hSfmonlB29i59loyAXA3FSG4W28MbmrDyrbqBagLK1n2Tn4+1Je61jYiy5RAKhRxRpvtfLE4BY1lGo9ScVgfw98U2DiA5XM2Loy818fLTyrFPmZ9Szr5RgvVwf9vs7b1q4KS3NTfHfoFu4mpKPPyv8U9xnTEBxpLyqnRU5OTjA1NVVpHYuPj1dpFcvn6uqqdn8zMzNUrVpVZ7FqorQ1XZKePYeFmQlavphtQ/rXtrZ+BtDnE9uKIJPJ0NLbEQeuPcLZe0+0npg9y87BL/9FYs3RO4rq5L0bumJGLz94O9kWEVNeK7KY2crXHqZg+5ko/BEWg9QXy06ZmcjQvb4L3mrlifY+TirFNqXEGEs/lJUxdWXGJmcoSrgU9zcan/pyVnhpZ1m/1eplr9APw5rj7L0n2HjyXrHHbBjVUmU8WtVKeY0ab7f2wpqjdxTDFoyN0SRmFhYWaNGiBQ4ePIgBAwYoth88eBD9+vVTe0xAQAD++usvpW0HDhyAv7+/2vFl5aks78mtvB1hZW6Kbwc3wcrDt3Cf3SFGrTRdc61q5iVmZyKfYFyn2lqJI1cuYNeFB1h6IAKPUvIG9jf1qIzPX62nmLZfVulZOfj70kNsOxOtKJwL5I1XG9rKA4NbeKCane5bvLXBsypXDxDLmArMFlx2r3kxidlTLVT2/7p/I8X/X23shlcbuxWbmN1b9Gqx53u3nTfWHL1T5rgMldEkZkDeJIbhw4fD398fAQEBWLt2LaKiohR1yWbOnImYmBhs2rQJADBu3DisWrUKgYGBGDt2LE6dOoV169Zh+/bt+nwaAMpW06V9nbwWmkEtamBQixrw/nSvtsIiA2QusisTeFnP7Oy9J8iVC2Ued3X8VgLm77uuGPdYo4o1ZvTyw2uNtVPE+kpMMraficKf4Q+R9qJ1zNxUhh71XfFWK0+0rV1V0q1j6rzW2B1TdoTrOwyDUtG6MgVBQNKz54hLyURcSiYeJb/4NyUTF6OTFfs1rG5f5Dnyx4yWRWn//vdMbIfXV51Q2W7sE2uMKjEbMmQIEhMTMW/ePMTGxqJhw4bYt28fvLy8AACxsbGIinq5hmTNmjWxb98+fPTRR/jhhx/g7u6OlStX6r2GGVC25Sna66n2FEmTqQazMgur72YPWwtTpGbmICIuFfXdi37jL87NR6lYuO86QiLyBvbbWZlh0is+GBHgrTRVvjTSsnLw18WH2H4mCpcevPyQ8q5qg7daeWJQixpwqmQYrWPqSGUSgiF5nms4XZnPc+WIT81CXHJeohX74t+4AslXXHKmRusmFzdJpp2PE7aMbo3azuqHCeQL+jAAg348Jfp5FKdxjcpwqmSBhLRsbBndWqvnNmRGlZgBwPjx4zF+/Hi1923cuFFlW6dOnXDhwgUdRyVeWVrk67uV7kNUiqraWiAxPbvkHalI5qX4gDczNUFzryr471YCzt57Ijoxe5yaheX/3sSOM1GQC3lju95p44XJXevA0Vb8wH4ZXtY5uvwgGdvORGFPeIyieKW5qQy9GrrhrVYeaFPT8FrHSDuk0pWZmvlckWDlJ155/89CXEoG4pKzkJiepfHse0dbC7jYW8HV3hKuDlZwsbeC24t/i+vGzJffi1KcFl6O8HS0QdQT8UNfbs/vjf+de4DPdl9Wue/4jFfwKCVTUQCdjDAxqyhK22JWvbJ1hfpQMqaFbXVF7KzMfK28HfHfrQSciXyCkRoudJyRnYt1x+/ixyN3FElTzwYumNHLD7WqVSpVHAUN+/k0bsenKW7XcrLFW608MbB5dcXAYjJeOTpuMcuVC0hIy1Jq1YpNftnFmN/dWLjafVHMTWVwtrOCq8OLH/u8H5cC/3e2tyxz67KmVr/dHJO2h6FGFWtRK8iYmZqgkpX6dMPK3JRJWSFMzAzUlZjkkndS4xU/Zy1Hol8S+QKsN+FfdkfTeQfLdI7SdGUCL8eZnbn3pMSyM3K5gN1hMVh6IEIxKLlxDQfM6lMPrWtpb4bz7fg0WJiaoHejvLFjrWs6Srq+ImlffTf7IksrlKXFLCM7V9HCld+qVbBrMS45E4/TsjQuZWRvZaZo3XK1t1Jp6XJ1sIKjjYWkvkg3rO6AkGmdsTn0vuil/ST0NCSPiZmBikxIF31MA3d7TOtRVwfR6I+xt5hpo55XaQb/A0ATj8qwMDXB49Qs3Et8hppFlLI4eScB8/dex9WHeR+W1StbY3qvuujb2F1rHzp9m7jj5qM0DGpeHQOb1yhVdyhVDObFFDxWN/hfLhfw5Fm2UpdifgtXwXFd+ctxlcREBjjb5bdqWcLNwfpFomWplISVtjSFJJTifVcGZmaaMuBXhnGr42wnuuDe3skddBSN/pRXLac/J7RDvx9UZw9VBGalbDGzMjdFEw8HnL33FGcjn6gkZrfj07Don+v493o8AMDO0gzju/jg3XZlH9hf2HdDm2n1fGTAikkaHqdl4au/ryklX/EpWcjWsIvTxsJUkVgV7FLMb+Fyc7CCUyXLCj8xo3NdZwBXRR0j9pIY87KBTMwMVGUbcXXUpNSFWc/NHvsmt9fK+obl1ZXZxKMyzExkkhk8rE2lHWMG5HVnnr33FKcjn+DNlnlFJhPSsvDdv7ew7UyUopTG2609MaVrHY7zIt0rpuv6SXo21h2PVHtIVVtLuDpYvky07JXHdrk4WMHO0oxd4wA8HG3w3dCm+DToMpa80VijY+ytxX1m7R7fFn5fBJcmPIPHxMxAiU0QPB2lU4xSLi9+PJImKtuYI+nZc3TyrYbgq+rXOtWW/MW+vxncGB/tvKjTx9IHszJ8u89bQeIOztxLRObzXKw/EYnVIXcUtcK61XPBzD5+qK2Fgf1Emiju1dy3ifvLMVwFuhed7ax0vuZrRdOvaXW83sS9xPfyKi8aEdrWrophrT1R18VOo/OX14QGKWJiZqBKs1ZmUdQtjaFL2hgXtuP9Njh+KwGDW3gUmZh9/mo9uFe2RkJaFk5HPsHeS7GleqyhrTwBAAOa1UCj6pXRbdlRjY5rXdMRp18siVIUNz2vTQfkzZgqrRZeVSCTAdFPMlD/y2BFC2bD6vaY1ac+Amrrd+kyYxY6syvaLDyk7zDKna9LJYQXWNWhoO/fYpe3NhWXlC0e1Ahz9lzD6rdbKPZdMKBRkfvTS/yKYKDEfqAXtzhtFz9ndK5brawhaSxXC4mZm4M1xnSoBQcbc/wxoZ3aFkEXeyv0aeSGEQHeuFHKsQoDm1dXuu3jXAl9GrlqdKwma1CWpRtRW0pTxyyfnZW5YkiPXMh7XS57swn2TGjPpEzP9L0gtS580rP4yUvvtPHEu+1qllM0VJwhLT1xZW5Pvg+UAhMzA/VaYzdR+48qoc6UiRbHTUzs4lPs/dXKOM7I2c4SDgXGKzT1qIxj07sUe0xp36y/eLW+yrYVQ0r+1u3paIOPe/iWuJ8UJpWWpcUMAPxfFLA0M5EhZFpnDGxeQ1JT/El6alez1XgweNCHbVHJ0gz9mrqXuO+Urr7skpSQij4JQlf4CjZQYj/QSxpHpM0/nwYlVIGf83qDMp3/q/4N1W63LmZMwtCWHpjQRXWxba+qNohc2AdLBzcBkNdCdm1eT3w7uAkWD2qEKmrKLmjyxn9sehfYWZU82LWSpfrRBOtG+pd47C8jit+nhQYVv4HSl8vIt25kS3zzRmOEfdndqMeFkOZGBHhrtF9dFzu08KqC8C+747uhzfB6E9XkrJPvy9Z+AQKLMlQgYhsgKgqOMTNQhbsDa1ezxZ3H6mubmZnISvzm0r6OEw7diC91PAOaVcfusBgAL5fGKUpZ1yfsVs9F7XZLcxNkPH9ZUbt7/Zf7mZma4JOefkhMy8aOs9GK7T++3QIymQxvtKiBQc2rK8ZMDGpRo0wxAnlrMhanvps9vhvaFEBe4lgwrq5FPMd89xa9qrJtyRuNkZMrYM5fV/Hru60QULsqdpyJwqe7VJdBaepRWfF/Tbpci+NgY47B/h5lOgeROosG5Y1Jym/V9XC0Qci0zqhiY46YpAxUr2wNuQA0/+plkWXOmqw4vuxbH38XGBsc9GFbXHqQhLl/XdNjVLrHxMxA2RZqadk+tg32XY6Fn5s9hq4NVbrvytyeJb5ZFfzWWZJKlmb4/q1mqF2tEt5ZdxpeVW2wdHATRWJmZa78Qb92eAu8v/m84rZQTHOfn6sdRrX1VptM5NO0eVxd683CgY0Q2N0XMpkMT59lw7fADCFtv6EX10VoZ2mGfVNe1pVTF+vu8W0xYPVJxe3fxwWgso0FfJyVZzguHtQI1x6mYHCLGpDJZBjS0kNxjdrWVl0D7/NX6ym1WEhhnBuVnXdVG9xLFL+OoS40cLfHgGbV8fXe62U6j7ohFvn18vKLKyemZRU6pkwPSRLibPdynGRArapo4VUFLbyqYGSAN8Kik/DmT6e0OhFOKtiVaaAKv/c421thVLuaaFOrKmb1qYf2Pk7w96qCzaNbadS9VHidwsY1HIossdGmliO6+DnDs6oNjk3vgs2jWyslSwX/mIC8kgo3vuoFP1c71HGuVGSL2bQevgie2lExC1Idfw275w593EntdplMBmd7K1Szs1RKyrQleGoH3FnQR+19+woU+K2nwULyzTyrYNmbTRS3/b0dVZIyIG+Q7dx+DRWJZcHfhWdVGxz7pAsuzemh2OZd1VapO7a9T17yxrE5hqfgsIEjnxQ/zjKfpn9DZdG9vgvGdKhV5vNo8pFbcMiAg7U5PKpIpzQQld33bzVDw+r2itZTADAxkaGFVxVc+Ly7Ytuad1roIzydYIuZgSruDWtsx1oY21H8m+KcvvUx50UT8UfdfNHFzxnz917Dz/8pF2QsqsHrp+EtEP3kGRpWd8Cad1pg3JaXrWRW5qbYN7kDBKDIgeGeRSxk27luNRyJeAwgbxHdorjYWSHp2XMA0FvdLD/XohOu+u722D+1IzaH3sPELnU0Ol9Xv7wuzYbVS07kiuJZqEu18K/Pq6otjn3SBZVtxRWAJOlp51MVJ24nFjl2EQDcKlsD95+WY1SqWtdyxPpRLTFqw8syPfnd81/+eQWbTt3X+FwWZiYIndkVAgRYmuV9CV39dnOM33pBab+QaZ3LHjiVu75N3NFXzdhCIG8YxeGPO8Hc1AQeEqrVWVb8ilwBaKvpflS7mrjxVS8c/KgjurxYKWB4G2+V/Yqa/tyzgaviW3LBrlFri7w3S5NCY922jmmtNCmhqKex+u3m2PhuS0R83QvO9kWXAFj9TnO0rV0V28e2KXIfbVk6uEmpCrPWdbXD1/0bqZQyGNDsZVmOEQFeiv872Jjjxle9sGdC+9IH+0KfRq7wdLRBhzqq3ZueVW1gr8FkBZKWwl+SVgxphrEdauLPie2KPKaol+3Gd1tqMTL1PulZF/9M6QA/V/sXy/qomtfv5eQeTQtj5y2HZK243aeRG27P741323krthW1lisZtlrVKlWopAxgi5nBauXtqPi/JrP/NGVlboo6RXTx/RvYCZceJKmdGVWYtYUp/pzQTnFOddr5OOH2gj6Y/vtFhEUlKQ3WL8jGwqzIN/GCalerhG3lkJQBwBstaqBbPWc0nXew5J1R8ri4Jh6VceLTV1CtkqVKl6K2ZjqufrsF5HKBpSwqkMKtn9XsLDFLTYkXAKhVzRYfdqqNE7cTVO7bNra12vGIhdV1sUPEo9QS98vvHi9sWCtPtTOdCwud2RXPsnPKtBi9makJArv7Ij0rB/2aVi/5ACKJYIuZgbK1NIPliw/wvyeVvTVFEzWqWGNg8xoa171q4lEZTQrM/ivKkjea4MBHHZUSkPzZisNaFz3eTN/yBx/n2/ReqyL3NdVgYkH1ytY6H+fFpKxiqSoicTn8cWcM9vdQGVC/b3IHRVL2YWfVkjIF7Z3cHq1qOqpsf6PQLGZ/b9V9AMC8iNd3rwbKRZtdHaxUxr2Whp2VOZa80QTtikgUiaSILWYGLOLr3jp/DEGj4bdlV3hGZL+m1RFQqyqq2Ul70evVbzfHRzvD8f1bzdCxmJmtJvwKRDqwcGAjfPL7RYwVM9C+wJ/a3sntUb/ABIIZvfzQt7E7+qz8T+WwKV3rwMzUBDYWqi24Swc3gVwuYNeLmdnqzB/QUGXsW3sfJ9yIS8VKLpVEpMDEjCSruPFkUtGnkRt6NnAtsatS04KaRGJ4ONpgx/sBoo7xcnw51qqBu4PK/baWqolXQK2q+Kh73koWQ/w9cCTiMRyszSEIAkZpsKqGm4MV3m7tpbJ98+hWEAS25BIVxMSMqIyKS8q+G9oU+y7H4tNefuUYEVHRPuhUC0/Ss9Cjgfo1Xwt3dTbxqIzt778cu9mroSuCp3bIK7tiaqJIqka188ausBh09St5PGg+mUwG1oMlUsbEjEiH+jWtzoHHpDdfvlYf8/6+hrcLjNW0MjfF3H7qlzUDoDLgvvAKFjKZTG1ZmMY1KiP8y+5K69h28q2Gozcfs8WYSAQmZkREFdS77bzRtZ6zqKKrtpZm+GdKB7z2/XHkygWlUi4lKTwh5qfhLXAtNgVNa1TW+BxExo6JGRFRBSWTyeBVROHm4tRzs8fVuT3x4Okz+DiXfoUMK3NTNPfU/UoDRBUJ54oREZEKK3PTMiVlRFQ6TMyoWMWsN05ERERaxsSMiIiISCKYmBERERFJBBMzIiIiIolgYkZEREQkEUzMSGOs0E1ERKRbTMyIiIiIJIKJGREREZFEMDGjYrGMGRERUflhYkZEREQkEUzMiIiIiCTCaBKzp0+fYvjw4XBwcICDgwOGDx+OpKSkYo8ZNWoUZDKZ0k+bNm3KJ2AiIiIyOmb6DqC8DBs2DA8ePEBwcDAA4P3338fw4cPx119/FXtcr169sGHDBsVtCwsLncYpZTKwXgYREZEuGUVidv36dQQHByM0NBStW7cGAPz8888ICAhAREQE6tatW+SxlpaWcHV11fixsrKykJWVpbidkpJS+sCJiIjIqBhFV+apU6fg4OCgSMoAoE2bNnBwcMDJkyeLPfbIkSNwdnaGr68vxo4di/j4+GL3X7hwoaK71MHBAR4eHlp5DkRERFTxGUViFhcXB2dnZ5Xtzs7OiIuLK/K43r17Y+vWrTh8+DC+/fZbnD17Fq+88opSi1hhM2fORHJysuInOjpaK89BXwSBBTOIiIjKi0F3Zc6ZMwdz584tdp+zZ88CAGRq1hMSBEHt9nxDhgxR/L9hw4bw9/eHl5cX9u7di4EDB6o9xtLSEpaWlpqET0RERKTEoBOziRMnYujQocXu4+3tjUuXLuHRo0cq9z1+/BguLi4aP56bmxu8vLxw69Yt0bESERERlcSgEzMnJyc4OTmVuF9AQACSk5Nx5swZtGrVCgBw+vRpJCcno23btho/XmJiIqKjo+Hm5lbqmImIiIiKYhRjzOrVq4devXph7NixCA0NRWhoKMaOHYvXXntNaUamn58fdu/eDQBIS0vDtGnTcOrUKdy7dw9HjhxB37594eTkhAEDBujrqehVMb2+REREpAVGkZgBwNatW9GoUSP06NEDPXr0QOPGjbF582alfSIiIpCcnAwAMDU1xeXLl9GvXz/4+vpi5MiR8PX1xalTp2BnZ6ePp0BEREQVnEF3ZYrh6OiILVu2FLtPwRmI1tbW2L9/v67DIiIiIlIwmhYzIiIiIqljYkbFYhUzIiKi8sPEjIiIiEgimJgRERERSQQTM9IYq2UQERHpFhMzIiIiIolgYkZEREQkEUzMiIiIiCSCiRkVS2C9DCIionLDxIyIiIhIIpiYEREREUkEEzPSmEzGghlERES6xMSMiIiISCKYmBERERFJBBMzIiIiIolgYkZEREQkEUzMqAQsZEZERFRemJiRxjgnk4iISLeYmBERERFJBBMzIiIiIolgYkZEREQkEUzMiIiIiCSCiRkRERGRRDAxo2JxfUwiIqLyY6bvAEjaajnZokMdJ1S2sYCJCZM0IiIiXWJiRsWSyWTYPLq1vsMgIiIyCuzKJCIiIpIIJmZEREREEsHEjIiIiEgimJgRERERSQQTMyIiIiKJYGJGREREJBFMzIiIiIgkgokZERERkUQwMSMiIiKSCKNJzObPn4+2bdvCxsYGlStX1ugYQRAwZ84cuLu7w9raGp07d8bVq1d1GygREREZLaNJzLKzszF48GB8+OGHGh+zZMkSLFu2DKtWrcLZs2fh6uqK7t27IzU1VYeREhERkbGSCYIg6DuI8rRx40ZMnToVSUlJxe4nCALc3d0xdepUzJgxAwCQlZUFFxcXLF68GB988IHa47KyspCVlaW4nZKSAg8PDyQnJ8Pe3l5rz4OIiIh0JyUlBQ4ODuX++W00LWZiRUZGIi4uDj169FBss7S0RKdOnXDy5Mkij1u4cCEcHBwUPx4eHuURLhEREVUATMyKEBcXBwBwcXFR2u7i4qK4T52ZM2ciOTlZ8RMdHa3TOImIiKjiMNN3AGUxZ84czJ07t9h9zp49C39//1I/hkwmU7otCILKtoIsLS1haWmptD+Q1yRKREREhiH/c7u8R3wZdGI2ceJEDB06tNh9vL29S3VuV1dXAHktZ25ubort8fHxKq1oxcmfKMAuTSIiIsOTmJgIBweHcns8g07MnJyc4OTkpJNz16xZE66urjh48CCaNWsGIG9m59GjR7F48WKNz+Pu7o7o6GjY2dkV29JWEeRPdIiOjuZEBx3g9dUdXlvd4bXVLV5f3UlOToanpyccHR3L9XENOjETIyoqCk+ePEFUVBRyc3MRHh4OAPDx8UGlSpUAAH5+fli4cCEGDBgAmUyGqVOnYsGCBahTpw7q1KmDBQsWwMbGBsOGDdP4cU1MTFCjRg1dPCXJsre35xuEDvH66g6vre7w2uoWr6/umJiU73B8o0nMvvzyS/z666+K2/mtYCEhIejcuTMAICIiAsnJyYp9pk+fjoyMDIwfPx5Pnz5F69atceDAAdjZ2ZVr7ERERGQcjK6OGemOvmq+GAteX93htdUdXlvd4vXVHdYxI4NnaWmJ2bNnK81KJe3h9dUdXlvd4bXVLV5f3dHXtWWLGREREZFEsMWMiIiISCKYmBERERFJBBMzIiIiIolgYkZEREQkEUzMCAsXLkTLli1hZ2cHZ2dn9O/fHxEREUr77Nq1Cz179oSTkxNkMpmiQG9xMjMzMWrUKDRq1AhmZmbo37+/yj7Hjx9Hu3btULVqVVhbW8PPzw/Lly/X0jOTBn1e34JOnDgBMzMzNG3atPRPRmL0eW2PHDkCmUym8nPjxg0tPTv90vfrNisrC7NmzYKXlxcsLS1Ru3ZtrF+/XgvPTP/0eW1HjRql9nXboEEDLT07/dP3a3fr1q1o0qQJbGxs4ObmhnfffReJiYkax8/EjHD06FFMmDABoaGhOHjwIHJyctCjRw+kp6cr9klPT0e7du2waNEijc+bm5sLa2trTJ48Gd26dVO7j62tLSZOnIhjx47h+vXr+Pzzz/H5559j7dq1ZX5eUqHP65svOTkZI0aMQNeuXUv9PKRICtc2IiICsbGxip86deqU+vlIib6v7ZtvvolDhw5h3bp1iIiIwPbt2+Hn51em5yQV+ry23333ndLrNTo6Go6Ojhg8eHCZn5dU6PP6Hj9+HCNGjMDo0aNx9epV/Pbbbzh79izGjBmj+RMQiAqJj48XAAhHjx5VuS8yMlIAIISFhYk658iRI4V+/fpptO+AAQOEd955R9T5DYk+ru+QIUOEzz//XJg9e7bQpEkTcQEbkPK8tiEhIQIA4enTp6UL1sCU57X9559/BAcHByExMbGU0RoWfb7n7t69W5DJZMK9e/dEnd+QlOf1/eabb4RatWopbVu5cqVQo0YNjc/NFjNSkb8sldiFW0eNGqVY3qq0wsLCcPLkSXTq1KlM55Gy8r6+GzZswJ07dzB79mzRxxoafbx2mzVrBjc3N3Tt2hUhISGlOochKM9ru2fPHvj7+2PJkiWoXr06fH19MW3aNGRkZIg6j6HQ53vuunXr0K1bN3h5eZXpPFJWnte3bdu2ePDgAfbt2wdBEPDo0SP8/vvvePXVVzU+h9GslUmaEQQBgYGBaN++PRo2bCjqWDc3N8jl8lI9bo0aNfD48WPk5ORgzpw54pp9DUh5X99bt27h008/xX///Qczs4r9517e19bNzQ1r165FixYtkJWVhc2bN6Nr1644cuQIOnbsKOpcUlfe1/bu3bs4fvw4rKyssHv3biQkJGD8+PF48uRJhRlnlk9f77kAEBsbi3/++Qfbtm0r9Tmkrryvb9u2bbF161YMGTIEmZmZyMnJweuvv47vv/9e43NU7HdqEm3ixIm4dOkSjh8/LvrYhQsXlvpx//vvP6SlpSE0NBSffvopfHx88NZbb5X6fFJVntc3NzcXw4YNw9y5c+Hr6yv68QxNeb9269ati7p16ypuBwQEIDo6GkuXLq1wiVl5X1u5XA6ZTIatW7fCwcEBALBs2TK88cYb+OGHH2BtbS36nFKlr/dcANi4cSMqV65c4sQhQ1be1/fatWuYPHkyvvzyS/Ts2ROxsbH45JNPMG7cOKxbt06jczAxI4VJkyZhz549OHbsGGrUqFGuj12zZk0AQKNGjfDo0SPMmTOnwiVm5X19U1NTce7cOYSFhWHixIkA8j7wBEGAmZkZDhw4gFdeeUXncZQHfb52C2rTpg22bNmit8fXBX1cWzc3N1SvXl2RlAFAvXr1IAgCHjx4UGEmWOjzdSsIAtavX4/hw4fDwsKiXB+7vOjj+i5cuBDt2rXDJ598AgBo3LgxbG1t0aFDB3z99ddwc3Mr8RxMzAiCIGDSpEnYvXs3jhw5okiS9BlPVlaWXmPQJn1dX3t7e1y+fFlp2+rVq3H48GH8/vvvev89a4PUXrthYWEavfEaAn1e23bt2uG3335DWloaKlWqBAC4efMmTExM9Jp4a4sUXrdHjx7F7du3MXr06HJ/bF3T5/V99uyZyrARU1NTRVyaYGJGmDBhArZt24Y///wTdnZ2iIuLAwA4ODgougyePHmCqKgoPHz4EAAUNWFcXV3h6uoKAJg5cyZiYmKwadMmxbmvXbuG7OxsPHnyBKmpqYpaMfm1tH744Qd4enoqpsEfP34cS5cuxaRJk3T+vMuLvq6viYmJypgKZ2dnWFlZiR5rIVX6fO2uWLEC3t7eaNCgAbKzs7FlyxYEBQUhKCioPJ66zunz2g4bNgxfffUV3n33XcydOxcJCQn45JNP8N5771WIbkx9Xtt869atQ+vWrSvMe0FB+ry+ffv2xdixY/Hjjz8qujKnTp2KVq1awd3dXbMnIGp+KFVIANT+bNiwQbHPhg0b1O4ze/ZsxT4jR44UOnXqpHRuLy8vtcflW7lypdCgQQPBxsZGsLe3F5o1ayasXr1ayM3N1fGzLj/6vL6FVbRyGfq8tosXLxZq164tWFlZCVWqVBHat28v7N27V8fPuPzo+3V7/fp1oVu3boK1tbVQo0YNITAwUHj27JkOn3H50fe1TUpKEqytrYW1a9fq8Fnqj76v78qVK4X69esL1tbWgpubm/D2228LDx480Dh+2YsnQURERER6xjpmRERERBLBxIyIiIhIIpiYEREREUkEEzMiIiIiiWBiRkRERCQRTMyIiIiIJIKJGREREZFEMDEjIiIikggmZkRUJjKZDH/88Ye+wyiRocRpaLy9vbFixQp9h2H0Fi5ciJYtW8LOzg7Ozs7o37+/YpmhfIIgYM6cOXB3d4e1tTU6d+6Mq1evKu2zdu1adO7cGfb29pDJZEhKSlJ5rAsXLqB79+6oXLkyqlativfffx9paWkaxXny5En06dMHVapUgZWVFRo1aoRvv/0Wubm5Gj/XOXPmqCwxVZSnT59i+PDhcHBwgIODA4YPH67ynKZMmYIWLVrA0tJS4/PqEhMzIirSqFGjIJPJVH569eql79B0Ii4uDlOmTIGPjw+srKzg4uKC9u3bY82aNXj27JliP29vb8W1sLGxQcOGDfHTTz8p7s/NzcXChQvh5+cHa2trODo6ok2bNtiwYYM+nhYZgaNHj2LChAkIDQ3FwYMHkZOTgx49eiA9PV2xz5IlS7Bs2TKsWrUKZ8+ehaurK7p3747U1FTFPs+ePUOvXr3w2WefqX2chw8folu3bvDx8cHp06cRHByMq1evYtSoUSXGuHv3bnTq1Ak1atRASEgIbty4gSlTpmD+/PkYOnSoxot8izFs2DCEh4cjODgYwcHBCA8Px/Dhw5X2EQQB7733HoYMGaL1xy8VkUtQEZERGTlypNCrVy8hNjZW6efJkyeKfQAIu3fv1l+QGiopzjt37giurq6Cn5+fsHPnTuHatWvCpUuXhN9//13o06eP8Oeffyr29fLyEubNmyfExsYKt27dEmbNmiUAEHbs2CEIgiB8/vnngrOzs/C///1PuHv3rhAeHi788ssvwrfffqvrp1nuvLy8hOXLl+s7DCokPj5eACAcPXpUEARBkMvlgqurq7Bo0SLFPpmZmYKDg4OwZs0aleNDQkIEAMLTp0+Vtv/000+Cs7Oz0nrGYWFhAgDh1q1bRcaTlpYmVK1aVRg4cKDKfXv27FH6+xEEQYiOjhaGDBkiVKlSRbCxsRFatGghhIaGql3jsuAamAVdu3ZNACCEhoYqtp06dUoAINy4cUNlf6msJcwWMyIqlqWlJVxdXZV+qlSpUuT+M2bMgK+vL2xsbFCrVi188cUXeP78ueL+/G6In376CR4eHrCxscHgwYOVuheOHDmCVq1awdbWFpUrV0a7du1w//59xf1//fUXWrRoASsrK9SqVQtz585FTk6O4v5bt26hY8eOsLKyQv369XHw4MESn+f48eNhZmaGc+fO4c0330S9evXQqFEjDBo0CHv37kXfvn2V9rezs4Orqyt8fHzw9ddfo06dOoqu0r/++gvjx4/H4MGDUbNmTTRp0gSjR49GYGBgkY9///599O3bF1WqVIGtrS0aNGiAffv2Ke6/du0a+vTpg0qVKsHFxQXDhw9HQkKC4n65XI7FixfDx8cHlpaW8PT0xPz58xX3X758Ga+88gqsra3Vdj+NGjUK/fv3x9KlS+Hm5oaqVatiwoQJSr+7+Ph49O3bF9bW1qhZsya2bt2q8jzmzJkDT09PWFpawt3dHZMnTy7x2pP2JScnAwAcHR0BAJGRkYiLi0OPHj0U+1haWqJTp044efKkxufNysqChYUFTExepg/W1tYAgOPHjxd53IEDB5CYmIhp06ap3Ne3b1/4+vpi+/btAIC0tDR06tQJDx8+xJ49e3Dx4kVMnz4dcrkcQ4YMwccff4wGDRogNjYWsbGxRbZ0nTp1Cg4ODmjdurViW5s2beDg4CDqOZc3M30HQEQVi52dHTZu3Ah3d3dcvnwZY8eOhZ2dHaZPn67Y5/bt2/jf//6Hv/76CykpKRg9ejQmTJiArVu3IicnB/3798fYsWOxfft2ZGdn48yZM5DJZACA/fv345133sHKlSvRoUMH3LlzB++//z4AYPbs2ZDL5Rg4cCCcnJwQGhqKlJQUTJ06tdiYExMTceDAASxYsAC2trZq98l//KJYWVkpkhhXV1ccPnwY48ePR7Vq1TS6bhMmTEB2djaOHTsGW1tbXLt2DZUqVQIAxMbGolOnThg7diyWLVuGjIwMzJgxA2+++SYOHz4MAJg5cyZ+/vlnLF++HO3bt0dsbCxu3LgB4GX3VJs2bXD27FnEx8djzJgxmDhxIjZu3KiIISQkBG5ubggJCcHt27cxZMgQNG3aFGPHjgWQl7xFR0fj8OHDsLCwwOTJkxEfH684/vfff8fy5cuxY8cONGjQAHFxcbh48aJGz5+0RxAEBAYGon379mjYsCGAvG56AHBxcVHa18XFRelLT0leeeUVBAYG4ptvvsGUKVOQnp6u6PaMjY0t8ribN28CAOrVq6f2fj8/P8U+27Ztw+PHj3H27FlFYunj46PYt1KlSjAzM4Orq2uxscbFxcHZ2Vllu7Ozs+J6SJK+m+yISLpGjhwpmJqaCra2tko/8+bNU+yDEroIlyxZIrRo0UJxe/bs2YKpqakQHR2t2PbPP/8IJiYmQmxsrJCYmCgAEI4cOaL2fB06dBAWLFigtG3z5s2Cm5ubIAiCsH//frXnLy7O0NBQAYCwa9cupe1Vq1ZVPOfp06crthfsvnv+/Lmie2X16tWCIAjC1atXhXr16gkmJiZCo0aNhA8++EDYt29fkddIEAShUaNGwpw5c9Te98UXXwg9evRQ2hYdHS0AECIiIoSUlBTB0tJS+Pnnn9Uev3btWqFKlSpCWlqaYtvevXsFExMTIS4uThCEvN+1l5eXkJOTo9hn8ODBwpAhQwRBEISIiAiVbqHr168LABTX4ttvvxV8fX2F7OzsYp8r6db48eMFLy8vpb+BEydOCACEhw8fKu07ZswYoWfPnirnKKorUxAEYevWrYKLi4tgamoqWFhYCNOmTRNcXFyExYsXC4IgCPXr11f83fTq1UsQBEFYtGiRAEBpGERBffv2FerXry8IgiB8+OGHQseOHYt8fuq6HD/44AOl9yhBEIT58+cLvr6+Ksf7+PgICxcu1Oi8+sAWMyIqVpcuXfDjjz8qbcv/FqvO77//jhUrVuD27dtIS0tDTk4O7O3tlfbx9PREjRo1FLcDAgIgl8sRERGBTp06YdSoUejZsye6d++Obt264c0334SbmxsA4Pz58zh79qxSN11ubi4yMzPx7NkzXL9+Xe35NVG4VezMmTOQy+V4++23kZWVpXTfjBkz8Pnnnyu6dj755BN88MEHAID69evjypUrOH/+PI4fP45jx46hb9++GDVqFH755Re1jz158mR8+OGHOHDgALp164ZBgwahcePGiuccEhKiaEEr6M6dO0hKSkJWVha6du2q9tzXr19HkyZNlFoD27Vrp7jm+a0oDRo0gKmpqWIfNzc3XL58WXEOMzMz+Pv7K+738/ND5cqVFbcHDx6MFStWoFatWujVqxf69OmDvn37wsyMHzXlZdKkSdizZw+OHTum9DeQ37oUFxen+FsC8rqnC7eilWTYsGEYNmwYHj16BFtbW8hkMixbtgw1a9YEAOzbt0/Repzfzenr6wsg73XUtm1blXPeuHED9evXVzpGjHnz5ql0k7q6uuLRo0cq+z5+/Fj0cy5PHGNGRMWytbWFj4+P0k9RiVloaCiGDh2K3r174++//0ZYWBhmzZqF7OzsYh8jPyHK/3fDhg04deoU2rZti507d8LX1xehoaEA8sZSzZ07F+Hh4Yqfy5cv49atW7CyslI7s6ukbkgfHx/IZDJF11++WrVqwcfHR+0HxSeffILw8HDcv38faWlpWLJkidK4GxMTE7Rs2RIfffQRdu/ejY0bN2LdunWIjIxUG8OYMWNw9+5dDB8+HJcvX4a/vz++//57xXPu27ev0nMODw9XjKUr6YNMEIQir0HB7ebm5ir3yeVyxTkK71+Yh4cHIiIi8MMPP8Da2hrjx49Hx44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<xarray.Dataset> Size: 1MB\n",
+       "Dimensions:                           (time_cor_01: 228, time_20_ku: 4551)\n",
+       "Coordinates:\n",
+       "    lat_01                            (time_cor_01) float64 2kB ...\n",
+       "    lat_poca_20_ku                    (time_20_ku) float64 36kB ...\n",
+       "    lon_01                            (time_cor_01) float64 2kB ...\n",
+       "    lon_poca_20_ku                    (time_20_ku) float64 36kB ...\n",
+       "  * time_20_ku                        (time_20_ku) datetime64[ns] 36kB 2019-1...\n",
+       "  * time_cor_01                       (time_cor_01) datetime64[ns] 2kB 2019-1...\n",
+       "Data variables: (12/54)\n",
+       "    alt_01                            (time_cor_01) float64 2kB ...\n",
+       "    echo_avg_numval_20_ku             (time_20_ku) float32 18kB ...\n",
+       "    flag_cor_applied_20_ku            (time_20_ku) float64 36kB ...\n",
+       "    flag_cor_err_01                   (time_cor_01) float64 2kB ...\n",
+       "    flag_instr_conf_rx_str_in_use_01  (time_cor_01) float32 912B ...\n",
+       "    flag_instr_mode_op_20_ku          (time_20_ku) float32 18kB ...\n",
+       "    ...                                ...\n",
+       "    ssha_interp_20_ku                 (time_20_ku) float64 36kB ...\n",
+       "    ssha_interp_numval_20_ku          (time_20_ku) float32 18kB ...\n",
+       "    ssha_interp_rms_20_ku             (time_20_ku) float64 36kB ...\n",
+       "    surf_type_20_ku                   (time_20_ku) float32 18kB ...\n",
+       "    swh_ocean_01_ku                   (time_cor_01) float64 2kB ...\n",
+       "    wind_speed_alt_01_ku              (time_cor_01) float64 2kB ...\n",
+       "Attributes: (12/101)\n",
+       "    product_name:                 CS_LTA__SIR_SAR_2__20191005T151255_20191005...\n",
+       "    processing_stage:             LTA_\n",
+       "    reference_document:           CS-RS-ACS-ESL-5265 2.1\n",
+       "    doi:                          10.5270/CR2-388fb81\n",
+       "    acquisition_station:          Kiruna              \n",
+       "    mission:                      Cryosat\n",
+       "    ...                           ...\n",
+       "    xref_surf_type:               CS_OPER_AUX_LS_MAP_00000000T000000_99999999...\n",
+       "    xref_tidal_load:              CS_OPER_AUX_TDLOAD_00000000T000000_99999999...\n",
+       "    xref_u_wind:                  CS_OPER_AUX_U_WIND_20191005T120000_20191005...\n",
+       "    xref_uso:                     CS_OPER_AUX_DORUSO_20100411T040029_20211117...\n",
+       "    xref_v_wind:                  CS_OPER_AUX_V_WIND_20191005T120000_20191005...\n",
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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ds_cs2.radar_freeboard_20_ku.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "11476d13-0f1f-44f7-a364-4a949554d8c2", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "not enough values to unpack (expected 2, got 1)", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[35], line 8\u001b[0m\n\u001b[1;32m 5\u001b[0m ax\u001b[38;5;241m.\u001b[39mcoastlines()\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# Plot MODIS sst, save object as sst_img, so we can add colorbar\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m cs2_img \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpcolormesh\u001b[49m\u001b[43m(\u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlon_poca_20_ku\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlat_poca_20_ku\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mradar_freeboard_20_ku\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mvmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Set max and min values for plotting\u001b[39;49;00m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mviridis\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mauto\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# shading='auto' to avoid warning\u001b[39;49;00m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mccrs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPlateCarree\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# coords are lat,lon but map if NPS \u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m# Plot IS2 surface height \u001b[39;00m\n\u001b[1;32m 14\u001b[0m is2_img \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mscatter(is2_ds\u001b[38;5;241m.\u001b[39mlongitude, is2_ds\u001b[38;5;241m.\u001b[39mlatitude,\n\u001b[1;32m 15\u001b[0m c\u001b[38;5;241m=\u001b[39mis2_ds\u001b[38;5;241m.\u001b[39mheight_segment_height, \n\u001b[1;32m 16\u001b[0m vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.5\u001b[39m, \u001b[38;5;66;03m# Set max height to plot\u001b[39;00m\n\u001b[1;32m 17\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mReds\u001b[39m\u001b[38;5;124m'\u001b[39m, alpha\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.6\u001b[39m, s\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m,\n\u001b[1;32m 18\u001b[0m transform\u001b[38;5;241m=\u001b[39mccrs\u001b[38;5;241m.\u001b[39mPlateCarree())\n", + "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:315\u001b[0m, in \u001b[0;36m_add_transform..wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInvalid transform: Spherical \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 311\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis not supported - consider using \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 312\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPlateCarree/RotatedPole.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 314\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtransform\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m transform\n\u001b[0;32m--> 315\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:1780\u001b[0m, in \u001b[0;36mGeoAxes.pcolormesh\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1769\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1770\u001b[0m \u001b[38;5;124;03mAdd the \"transform\" keyword to :func:`~matplotlib.pyplot.pcolormesh`.\u001b[39;00m\n\u001b[1;32m 1771\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1776\u001b[0m \n\u001b[1;32m 1777\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1778\u001b[0m \u001b[38;5;66;03m# Add in an argument checker to handle Matplotlib's potential\u001b[39;00m\n\u001b[1;32m 1779\u001b[0m \u001b[38;5;66;03m# interpolation when coordinate wraps are involved\u001b[39;00m\n\u001b[0;32m-> 1780\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_wrap_args\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1781\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mpcolormesh(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 1782\u001b[0m \u001b[38;5;66;03m# Wrap the quadrilaterals if necessary\u001b[39;00m\n", + "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:1807\u001b[0m, in \u001b[0;36mGeoAxes._wrap_args\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1805\u001b[0m X \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 1806\u001b[0m Y \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m-> 1807\u001b[0m nrows, ncols \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m2\u001b[39m])\u001b[38;5;241m.\u001b[39mshape[:\u001b[38;5;241m2\u001b[39m]\n\u001b[1;32m 1808\u001b[0m Nx \u001b[38;5;241m=\u001b[39m X\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m 1809\u001b[0m Ny \u001b[38;5;241m=\u001b[39m Y\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\n", + "\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 2, got 1)" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "map_proj = ccrs.NorthPolarStereo()\n", + "\n", + "fig = plt.figure(figsize=(10,5))\n", + "ax = fig.add_subplot(projection=map_proj)\n", + "ax.coastlines()\n", + "\n", + "# Plot MODIS sst, save object as sst_img, so we can add colorbar\n", + "cs2_img = ax.pcolormesh(ds_cs2.lon_poca_20_ku, ds_cs2.lat_poca_20_ku, ds_cs2.radar_freeboard_20_ku[:], \n", + " vmin=-1.0, vmax=0.5, # Set max and min values for plotting\n", + " cmap='viridis', shading='auto', # shading='auto' to avoid warning\n", + " transform=ccrs.PlateCarree()) # coords are lat,lon but map if NPS \n", + "\n", + "# Plot IS2 surface height \n", + "is2_img = ax.scatter(is2_ds.longitude, is2_ds.latitude,\n", + " c=is2_ds.height_segment_height, \n", + " vmax=1.5, # Set max height to plot\n", + " cmap='Reds', alpha=0.6, s=2,\n", + " transform=ccrs.PlateCarree())\n", + "\n", + "# Add colorbars\n", + "fig.colorbar(cs2_img, label='radar_freeboard_20_ku')\n", + "fig.colorbar(is2_img, label='ATL10 Height (m)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4815c13b-88c3-4d10-850e-02cf766d1844", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 8862a3cb1715c30ab6d2f462c5975646d9218c08 Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Mon, 16 Sep 2024 22:24:26 +0000 Subject: [PATCH 03/15] working cartopy plot --- notebooks/cryo2ice/cartopy_practice.ipynb | 38 ++++++++++------------- 1 file changed, 17 insertions(+), 21 deletions(-) diff --git a/notebooks/cryo2ice/cartopy_practice.ipynb b/notebooks/cryo2ice/cartopy_practice.ipynb index 1457826..0c8e491 100644 --- a/notebooks/cryo2ice/cartopy_practice.ipynb +++ b/notebooks/cryo2ice/cartopy_practice.ipynb @@ -1785,29 +1785,25 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 44, "id": "11476d13-0f1f-44f7-a364-4a949554d8c2", "metadata": {}, "outputs": [ { - "ename": "ValueError", - "evalue": "not enough values to unpack (expected 2, got 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[35], line 8\u001b[0m\n\u001b[1;32m 5\u001b[0m ax\u001b[38;5;241m.\u001b[39mcoastlines()\n\u001b[1;32m 7\u001b[0m \u001b[38;5;66;03m# Plot MODIS sst, save object as sst_img, so we can add colorbar\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m cs2_img \u001b[38;5;241m=\u001b[39m \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpcolormesh\u001b[49m\u001b[43m(\u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlon_poca_20_ku\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlat_poca_20_ku\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cs2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mradar_freeboard_20_ku\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mvmin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[38;5;241;43m1.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvmax\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0.5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# Set max and min values for plotting\u001b[39;49;00m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43mcmap\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mviridis\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshading\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mauto\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;66;43;03m# shading='auto' to avoid warning\u001b[39;49;00m\n\u001b[1;32m 11\u001b[0m \u001b[43m \u001b[49m\u001b[43mtransform\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mccrs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPlateCarree\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# coords are lat,lon but map if NPS \u001b[39;00m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;66;03m# Plot IS2 surface height \u001b[39;00m\n\u001b[1;32m 14\u001b[0m is2_img \u001b[38;5;241m=\u001b[39m ax\u001b[38;5;241m.\u001b[39mscatter(is2_ds\u001b[38;5;241m.\u001b[39mlongitude, is2_ds\u001b[38;5;241m.\u001b[39mlatitude,\n\u001b[1;32m 15\u001b[0m c\u001b[38;5;241m=\u001b[39mis2_ds\u001b[38;5;241m.\u001b[39mheight_segment_height, \n\u001b[1;32m 16\u001b[0m vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1.5\u001b[39m, \u001b[38;5;66;03m# Set max height to plot\u001b[39;00m\n\u001b[1;32m 17\u001b[0m cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mReds\u001b[39m\u001b[38;5;124m'\u001b[39m, alpha\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.6\u001b[39m, s\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m,\n\u001b[1;32m 18\u001b[0m transform\u001b[38;5;241m=\u001b[39mccrs\u001b[38;5;241m.\u001b[39mPlateCarree())\n", - "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:315\u001b[0m, in \u001b[0;36m_add_transform..wrapper\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 310\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mInvalid transform: Spherical \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 311\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis not supported - consider using \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m 312\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPlateCarree/RotatedPole.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 314\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtransform\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m transform\n\u001b[0;32m--> 315\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:1780\u001b[0m, in \u001b[0;36mGeoAxes.pcolormesh\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1769\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1770\u001b[0m \u001b[38;5;124;03mAdd the \"transform\" keyword to :func:`~matplotlib.pyplot.pcolormesh`.\u001b[39;00m\n\u001b[1;32m 1771\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1776\u001b[0m \n\u001b[1;32m 1777\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1778\u001b[0m \u001b[38;5;66;03m# Add in an argument checker to handle Matplotlib's potential\u001b[39;00m\n\u001b[1;32m 1779\u001b[0m \u001b[38;5;66;03m# interpolation when coordinate wraps are involved\u001b[39;00m\n\u001b[0;32m-> 1780\u001b[0m args, kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_wrap_args\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1781\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mpcolormesh(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 1782\u001b[0m \u001b[38;5;66;03m# Wrap the quadrilaterals if necessary\u001b[39;00m\n", - "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.10/site-packages/cartopy/mpl/geoaxes.py:1807\u001b[0m, in \u001b[0;36mGeoAxes._wrap_args\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1805\u001b[0m X \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 1806\u001b[0m Y \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m-> 1807\u001b[0m nrows, ncols \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masanyarray(args[\u001b[38;5;241m2\u001b[39m])\u001b[38;5;241m.\u001b[39mshape[:\u001b[38;5;241m2\u001b[39m]\n\u001b[1;32m 1808\u001b[0m Nx \u001b[38;5;241m=\u001b[39m X\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m 1809\u001b[0m Ny \u001b[38;5;241m=\u001b[39m Y\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m]\n", - "\u001b[0;31mValueError\u001b[0m: not enough values to unpack (expected 2, got 1)" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ - "
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" ] }, "metadata": {}, @@ -1822,15 +1818,15 @@ "ax.coastlines()\n", "\n", "# Plot MODIS sst, save object as sst_img, so we can add colorbar\n", - "cs2_img = ax.pcolormesh(ds_cs2.lon_poca_20_ku, ds_cs2.lat_poca_20_ku, ds_cs2.radar_freeboard_20_ku[:], \n", - " vmin=-1.0, vmax=0.5, # Set max and min values for plotting\n", - " cmap='viridis', shading='auto', # shading='auto' to avoid warning\n", + "cs2_img = ax.scatter(ds_cs2.lon_poca_20_ku, ds_cs2.lat_poca_20_ku, c=ds_cs2.radar_freeboard_20_ku, \n", + " #vmin=-2, vmax=2, # Set max and min values for plotting\n", + " cmap='viridis', alpha=0.6, s=2, # shading='auto' to avoid warning\n", " transform=ccrs.PlateCarree()) # coords are lat,lon but map if NPS \n", "\n", "# Plot IS2 surface height \n", - "is2_img = ax.scatter(is2_ds.longitude, is2_ds.latitude,\n", - " c=is2_ds.height_segment_height, \n", - " vmax=1.5, # Set max height to plot\n", + "is2_img = ax.scatter(ds_is2.longitude, ds_is2.latitude,\n", + " c=ds_is2.height_segment_height, \n", + " #vmax=3, # Set max height to plot\n", " cmap='Reds', alpha=0.6, s=2,\n", " transform=ccrs.PlateCarree())\n", "\n", From 1fef8d51ae0201e9776a1f80e376508be440c169 Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Tue, 17 Sep 2024 22:30:17 +0000 Subject: [PATCH 04/15] new edits to cartopy_practice --- notebooks/cryo2ice/cartopy_practice.ipynb | 667 ++++++++++++++++++++-- 1 file changed, 635 insertions(+), 32 deletions(-) diff --git a/notebooks/cryo2ice/cartopy_practice.ipynb b/notebooks/cryo2ice/cartopy_practice.ipynb index 0c8e491..b332df7 100644 --- a/notebooks/cryo2ice/cartopy_practice.ipynb +++ b/notebooks/cryo2ice/cartopy_practice.ipynb @@ -2,10 +2,604 @@ "cells": [ { "cell_type": "code", - "execution_count": 30, + "execution_count": 1, "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + " var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " var reloading = false;\n", + " var Bokeh = root.Bokeh;\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + "\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " if (!reloading) {\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " }\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " var skip = [];\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", + " } else {\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", + " }\n", + "\n", + " var existing_stylesheets = []\n", + " var links = document.getElementsByTagName('link')\n", + " for (var i = 0; i < links.length; i++) {\n", + " var link = links[i]\n", + " if (link.href != null) {\n", + "\texisting_stylesheets.push(link.href)\n", + " }\n", + " }\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " if (existing_stylesheets.indexOf(url) !== -1) {\n", + "\ton_load()\n", + "\tcontinue;\n", + " }\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " } var existing_scripts = []\n", + " var scripts = document.getElementsByTagName('script')\n", + " for (var i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + "\texisting_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (var i = 0; i < js_modules.length; i++) {\n", + " var url = js_modules[i];\n", + " 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+ " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", + " if (!js_urls.length && !js_modules.length) {\n", + " on_load()\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.0.min.js\", \"https://cdn.holoviz.org/panel/1.4.1/dist/panel.min.js\"];\n", + " var js_modules = [];\n", + " var js_exports = {};\n", + " var css_urls = [];\n", + " var inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {} // ensure no trailing comma for IE\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if ((root.Bokeh !== undefined) || (force === true)) {\n", + " for (var i = 0; i < inline_js.length; i++) {\n", + "\ttry {\n", + " inline_js[i].call(root, root.Bokeh);\n", + "\t} catch(e) {\n", + "\t if (!reloading) {\n", + "\t throw e;\n", + "\t }\n", + "\t}\n", + " }\n", + " // Cache old bokeh versions\n", + " if (Bokeh != undefined && !reloading) {\n", + "\tvar NewBokeh = root.Bokeh;\n", + "\tif (Bokeh.versions === undefined) {\n", + "\t Bokeh.versions = new Map();\n", + "\t}\n", + "\tif (NewBokeh.version !== Bokeh.version) {\n", + "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + "\t}\n", + "\troot.Bokeh = Bokeh;\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " }\n", + " root._bokeh_is_initializing = false\n", + " }\n", + "\n", + " function load_or_wait() {\n", + " // Implement a backoff loop that tries to ensure we do not load multiple\n", + " // versions of Bokeh and its dependencies at the same time.\n", + " // In recent versions we use the root._bokeh_is_initializing flag\n", + " // to determine whether there is an ongoing attempt to initialize\n", + " // bokeh, however for backward compatibility we also try to ensure\n", + " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", + " // before older versions are fully initialized.\n", + " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " root._bokeh_is_initializing = false;\n", + " root._bokeh_onload_callbacks = undefined;\n", + " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", + " load_or_wait();\n", + " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", + " setTimeout(load_or_wait, 100);\n", + " } else {\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " if (!reloading && !bokeh_loaded) {\n", + "\troot.Bokeh = undefined;\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + "\trun_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.4.0'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = 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load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n 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JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", + " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + 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metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[0]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " events.on('output_added.OutputArea', handle_add_output);\n", + " events.on('output_updated.OutputArea', handle_update_output);\n", + " events.on('clear_output.CodeCell', handle_clear_output);\n", + " events.on('delete.Cell', handle_clear_output);\n", + " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", + "\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " safe: true,\n", + " index: 0\n", + " });\n", + "}\n", + "\n", + "if (window.Jupyter !== undefined) {\n", + " try {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " } catch(err) {\n", + " }\n", + "}\n" + ], + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } 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handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
\n", + "
\n", + "
\n", + "" + ] + }, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1002" + } + }, + "output_type": "display_data" + } + ], "source": [ "import os\n", "import platform\n", @@ -220,17 +814,26 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 2, "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter your Earthdata Login username: mbeig\n", + "Enter your Earthdata password: ········\n" + ] + } + ], "source": [ "auth = earthaccess.login()" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 3, "id": "37139d13-43e4-4563-b436-2879c76677ec", "metadata": {}, "outputs": [ @@ -255,7 +858,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 4, "id": "5d4dc618-ac7a-4f3e-83c4-6815acacbe9d", "metadata": {}, "outputs": [ @@ -263,7 +866,7 @@ "data": { "text/html": [ "\n", - "
\n", + "
\n", " " - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "0.10.0\n" + ] } ], "source": [ - "import os\n", - "import platform\n", - "from ftplib import FTP\n", - "import sys\n", - "\n", - "\n", "# For searching and accessing NASA data\n", "import earthaccess\n", + "from cryo2ice_utils import download_files\n", "\n", - "# For reading data, analysis and plotting\n", - "import xarray as xr\n", - "import hvplot.xarray\n", "\n", - "import pprint # For nice printing of python objects" + "# For plotting\n", + "# import hvplot.xarray\n", + "\n", + "import pprint # For nice printing of python objects\n", + "\n", + "user_email = 'andrew.barrett@colorado.edu'\n", + "\n", + "print(earthaccess.__version__)" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "36740067-43e4-4864-9077-d7cb0e92b1b5", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d051c25c-3242-4878-ad24-6bd337adce80", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "f61fcd91-3b0b-45f1-9877-1e1690fca722", + "cell_type": "markdown", + "id": "64cacd29-4cb6-41c0-ad58-c632c46402f4", "metadata": {}, - "outputs": [], "source": [ - "def get_padded_count(count, max_count):\n", - " return str(count).zfill(len(str(max_count)))\n", - "\n", + "## Download CryoSat-2 Files\n", "\n", - "def file_byte_handler(data):\n", - " global download_file_obj, read_byte_count, total_byte_count\n", - " download_file_obj.write(data)\n", - " read_byte_count = read_byte_count + len(data)\n", - " progress_bar(read_byte_count, total_byte_count)\n", + "The CryoSat-2 files are stored on an ftp server. ESA provides a download script to download files returned by a spatiotemporal search. We have put the script in a separate file `cryo2ice_utils.py` to keep the notebook clean. \n", "\n", - "\n", - "def progress_bar(progress, total, prefix=\"\", size=60, file=sys.stdout):\n", - " if total != 0:\n", - " x = int(size * progress / total)\n", - " x_percent = int(100 * progress / total)\n", - " file.write(f\" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \\r\")\n", - " file.flush()\n", - "\n", - "\n", - "def download_files(user_email, esa_files):\n", - " global download_file_obj, read_byte_count, total_byte_count\n", - " print(\"About to connect to ESA science server\")\n", - " with FTP(\"science-pds.cryosat.esa.int\") as ftp:\n", - " try:\n", - " ftp.login(\"anonymous\", user_email)\n", - " print(\"Downloading {} files\".format(len(esa_files)))\n", - "\n", - " for i, filename in enumerate(esa_files):\n", - " padded_count = get_padded_count(i + 1, len(esa_files))\n", - " print(\"{}/{}. Downloading file {}\".format(padded_count, len(esa_files), os.path.basename(filename)))\n", - "\n", - " with open(os.path.basename(filename), 'wb') as download_file:\n", - " download_file_obj = download_file\n", - " total_byte_count = ftp.size(filename)\n", - " read_byte_count = 0\n", - " ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024)\n", - " print(\"\\n\")\n", - " finally:\n", - " print(\"Exiting FTP.\")\n", - " ftp.quit()" + "Here we will download a subset of files returned by search." ] }, { "cell_type": "code", - "execution_count": 3, - "id": "bd2e49a5-0ba8-4ab5-acfc-7fa29d55cb10", + "execution_count": 2, + "id": "9d375edf-328d-4bf3-a753-c317210ac6f9", "metadata": {}, "outputs": [], "source": [ - "user_email = 'mikala.beig@colorado.edu'" + "# %run -i SIR_SAR_L2_E_download_script.py" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", + "execution_count": 3, + "id": "53b9edb5-41da-4a0b-9ec4-3242978e7fe8", "metadata": {}, "outputs": [], "source": [ - "esa_files = ['SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc', 'SIR_SAR_L2/2022/02/CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc', 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc', 'SIR_SIN_L2/2022/02/CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc']" + "# !mv CS_LTA__SIR*.nc data" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", + "execution_count": 4, + "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "9" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "len(esa_files)" + "esa_files = [\n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc', \n", + " 'SIR_SAR_L2/2022/02/CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc', \n", + " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc', \n", + " 'SIR_SIN_L2/2022/02/CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc',\n", + "]" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "id": "eb7200bd-caf5-41f1-99b3-e3c5b57e36d3", "metadata": {}, "outputs": [ @@ -730,36 +126,1129 @@ } ], "source": [ - "download_files(user_email, esa_files)" + "downloaded_files = download_files(user_email, esa_files, dir=\"data\")" + ] + }, + { + "cell_type": "markdown", + "id": "7e2435bd-ebef-4a57-a9fb-b0f3422f09c7", + "metadata": {}, + "source": [ + "## Get ICESat-2 files" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6d8c65cf-c294-49a1-8807-9b8ef6d5dde5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4\n" + ] + } + ], + "source": [ + "auth = earthaccess.login()\n", + "\n", + "results = earthaccess.search_data(\n", + " short_name = 'ATL10',\n", + " version = '006',\n", + " cloud_hosted = True,\n", + " bounding_box = (-17, 79, 12, 83),\n", + " temporal = ('2019-10-01','2020-04-30'),\n", + " count = 4\n", + ")\n", + "\n", + "print(len(results))" ] }, { "cell_type": "code", "execution_count": 7, + "id": "f78cd8db-aff4-4c1b-a210-87fd2d3ec619", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ed0bc1fcdf9e432db4746e739fd5440c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "QUEUEING TASKS | : 0%| | 0/4 [00:00\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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+       "    flag_cor_err_01                   (time_cor_01) float64 2kB ...\n",
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+       "    ...                                ...\n",
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+ "output_type": "execute_result" + } + ], + "source": [ + "icesat2_files[0]\n", + "ds = xr.open_dataset(icesat2_files[3], group='gt2r/freeboard_segment')\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 11, "id": "56d209b9-191d-4d39-b97d-a745b17ef664", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 23.3 s, sys: 3.04 s, total: 26.4 s\n", + "Wall time: 1min 7s\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, { "data": { - "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -767,33 +1256,73 @@ } ], "source": [ + "%%time\n", "\n", - "# get the path of the file. It can be found in the repo data directory.\n", - "#fname = './CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc'\n", + "# NSIDC WGS84 Polar Stereographic \n", + "projection = ccrs.Stereographic(central_latitude=90.,\n", + " central_longitude=-45.,\n", + " true_scale_latitude=70.)\n", + "extent = [-3850000.000, 3750000., -5350000., 5850000.000]\n", "\n", - "#dataset = netcdf.netcdf_file(fname, maskandscale=True, mmap=False)\n", - "#freeboard = dataset.variables['radar_freeboard_20_ku'][0, :, :]\n", - "#lats = dataset.variables['lat_poca_20_ku'][:]\n", - "#lons = dataset.variables['lon_poca_20_ku'][:]\n", - "nc = NetCDFFile('./CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc') \n", - "lat = nc.variables['lat_poca_20_ku'][:]\n", - "lon = nc.variables['lon_poca_20_ku'][:]\n", - "freeboard = nc.variables['radar_freeboard_20_ku'][:]\n", + "fig = plt.figure(figsize=(7,7))\n", + "ax = fig.add_subplot(projection=projection)\n", + "ax.set_extent(extent, projection)\n", + "# ax.coastlines()\n", + "ax.add_feature(cfeature.OCEAN)\n", + "ax.add_feature(cfeature.LAND)\n", "\n", - "ax = plt.axes(projection=ccrs.Stereographic(central_latitude=90.0, central_longitude=-45.0, false_easting=0.0, false_northing=0.0, true_scale_latitude=70, scale_factor=None, globe=None))\n", + "ax.gridlines(draw_labels=True)\n", "\n", - "plt.scatter(lon, lat, 60,\n", - " transform=ccrs.Stereographic(central_latitude=90.0, central_longitude=-45.0, false_easting=0.0, false_northing=0.0, true_scale_latitude=70, scale_factor=None, globe=None))\n", + "vmin = 0.\n", + "vmax = 1.\n", "\n", - "ax.coastlines()\n", + "# Plot CryoSat-2 freeboards\n", + "for fp in downloaded_files:\n", + " ds = xr.open_dataset(fp)\n", + " cs2= plt.scatter(ds.lon_poca_20_ku, ds.lat_poca_20_ku, 5,\n", + " c=ds.radar_freeboard_20_ku, cmap=\"Reds\",\n", + " vmin=vmin, vmax=vmax,\n", + " transform=ccrs.PlateCarree())\n", "\n", - "plt.show()" + "# Plot ICESat-2 freeboards\n", + "for fp in icesat2_files:\n", + " ds = xr.open_dataset(fp, group='gt2r/freeboard_segment')\n", + " is2 = plt.scatter(ds.longitude, ds.latitude, 5,\n", + " c=ds.beam_fb_height, cmap=\"Purples\",\n", + " vmin=vmin, vmax=vmax,\n", + " transform=ccrs.PlateCarree())\n", + " \n", + "fig.colorbar(cs2, label=\"CryoSat-2 Radar Freeboard (m)\")\n", + "fig.colorbar(is2, label=\"ICESat-2 Lidar Freeboard (m)\")\n", + " # ds.plot.scatter(x=\"lon_poca_20_ku\", y=\"lat_poca_20_ku\",\n", + " # hue=\"radar_freeboard_20_ku\", ax=ax,\n", + " # transform=ccrs.PlateCarree())" + ] + }, + { + "cell_type": "markdown", + "id": "63ef47a1-fb7e-4e31-83a8-fc7dde22a70e", + "metadata": {}, + "source": [ + "## Cleanup\n", + "\n", + "Remove CryoSat-2 files from data directory" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3c0ccbf1-9d7f-4c0b-8ed2-c0ced1c8e34e", + "metadata": {}, + "outputs": [], + "source": [ + "!rm data/*.nc" ] }, { "cell_type": "code", "execution_count": null, - "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", + "id": "92f33471-9dc6-4523-9cbf-14b38c98b690", "metadata": {}, "outputs": [], "source": [] @@ -815,7 +1344,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.9" } }, "nbformat": 4, From a039b09792b7cc0e2f27f78277dbaaa2a5beea11 Mon Sep 17 00:00:00 2001 From: asteiker Date: Wed, 18 Sep 2024 19:55:46 +0000 Subject: [PATCH 06/15] readme updates in prep for new is2-cs2 tutorial --- README.md | 12 +++++- notebooks/ICESat-2_Cloud_Access/README.md | 45 ++++++++++++++++++----- 2 files changed, 46 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 434881e..2fd6d2e 100644 --- a/README.md +++ b/README.md @@ -45,12 +45,22 @@ The Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) proj The notebooks on this project demonstrate how to search and access ITS_LIVE velocity pairs and provide a simple example on how to build a data cube. -### [ICESat-2_Cloud_Access](./notebooks/ICESat-2_Cloud_Access) +### [ICESat-2_Cloud_Access Notebooks](./notebooks/ICESat-2_Cloud_Access) + +These notebooks demonstrate how to search and access ICESat-2 from the NASA Earthdata Cloud: **Accessing and working with ICESat-2 Data in the Cloud** Originally presented to the UWG (User Working Group) in May 2022, this tutorial demonstrates how to search for ICESat-2 data hosted in the Earthdata Cloud and how to directly access it from an Amazon Web Services (AWS) Elastic Compute Cloud (EC2) instance using the `earthaccess` package. +**UPDATE: IS2-CS2 NOTEBOOK TITLE** + +UPDATE: Description + +**Processing Large-scale Time Series of ICESat-2 Sea Ice Height in the Cloud** + +This notebook utilizes several libraries to performantly search, access, read, and grid ATL10 data over the Ross Sea, Antarctica including `earthaccess`, `h5coro`, and `geopandas`. The notebook provides further guidance on how to scale this analysis to the entire continent, running the same workflow from a script that can be run from your laptop using [Coiled](https://www.coiled.io/). + ### [MEaSUREs](./notebooks/measures) **Download, crop, resample, and plot multiple GeoTIFFs** diff --git a/notebooks/ICESat-2_Cloud_Access/README.md b/notebooks/ICESat-2_Cloud_Access/README.md index c95904b..017aed6 100644 --- a/notebooks/ICESat-2_Cloud_Access/README.md +++ b/notebooks/ICESat-2_Cloud_Access/README.md @@ -1,24 +1,49 @@ # ICESat-2 Cloud Access ## Summary -This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. NASA data "in the cloud" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. **Direct Access** is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing. +We provide several notebooks showcasing how to search and access ICESat-2 from the NASA Earthdata Cloud. NASA data "in the cloud" are stored in Amazon Web Services (AWS) Simple Storage Service (S3) Buckets. **Direct Access** is an efficient way to work with data stored in an S3 Bucket when you are working in the cloud. Cloud-hosted granules can be opened and loaded into memory without the need to download them first. This allows you take advantage of the scalability and power of cloud computing. + +### [Accessing and working with ICESat-2 data in the cloud](./ATL06-direct-access_rendered.ipynb) +This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly accessing Land Ice Height (ATL06) granules from an Amazon Compute Cloud (EC2) instance using the `earthaccess` package. + +#### Key Learning Objectives +1. Use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results; +2. Open data granules using direct access to the ICESat-2 S3 bucket; +3. Load a HDF5 group into an `xarray.Dataset`; +4. Visualize the land ice heights using `hvplot`. + +### [UPDATE:IS2-CS2](./UPDATE-NOTEBOOK-FILENAME.ipynb) +UPDATE: This notebook demonstrates... + +#### Key Learning Objectives +UPDATE +1. Objective 1 +2. Objective 2 +3. Objective 3 +4. Objective 4 + +### [Processing Large-scale Time Series of ICESat-2 Sea Ice Height in the Cloud](./ATL10-h5coro_rendered.ipynb) +This notebook utilizes several libraries to performantly search, access, read, and grid ATL10 data over the Ross Sea, Antarctica including `earthaccess`, `h5coro`, and `geopandas`. The notebook provides further guidance on how to scale this analysis to the entire continent, running the same workflow from a script that can be run from your laptop using [Coiled](https://www.coiled.io/). + +#### Key Learning Objectives +1. Use earthaccess to authenticate with Earthdata Login, search for ICESat-2 data using spatial and temporal filters, and directly access files in the cloud. +2. Open data granules using h5coro to efficiently read HDF5 data from the NSIDC DAAC S3 bucket. +3. Load data into a geopandas.DataFrame containing geodetic coordinates, ancillary variables, and date/time converted from ATLAS Epoch. +4. Grid track data to EASE-Grid v2 6.25 km projected grid using drop-in-the-bucket resampling. +5. Calculate mean statistics and assign aggregated data to grid cells. +6. Visualize aggregated sea ice height data on a map. ## Set up -To run the notebook provided in this folder in the Amazon Web Services (AWS) cloud, there are a couple of options: -* An EC2 instance already set up with the necessary software installed to run a Jupyter notebook, and the environment set up using the provided environment.yml file. **Note:** If you are running this notebook on your own AWS EC2 instance using the environment set up using the environment.yml file in the NSIDC-Data-Tutorials/notebooks/ICESat-2_Cloud_Access/environment folder, you may need to run the following command before running the notebook to ensure the notebook executes properly: +To run the notebooks provided in this folder in the Amazon Web Services (AWS) cloud, there are a couple of options: +* An EC2 instance already set up with the necessary software installed to run a Jupyter notebook, and the environment set up using the provided environment.yml file. **Note:** If you are running these notebooks on your own AWS EC2 instance using the environment set up using the environment.yml file in the NSIDC-Data-Tutorials/notebooks/ICESat-2_Cloud_Access/environment folder, you may need to run the following command before running the notebook to ensure the notebook executes properly: `jupyter nbextension enable --py widgetsnbextension` You do NOT need to do this if you are using the environment set up using the environment.yml file from the NSIDC-Data-Tutorials/binder folder. -* Alternatively, if you have access to one, it can be run in a managed cloud-based Jupyter hub. Just make sure all the necessary libraries are installed (`earthaccess`,`xarray`, and `hvplot`). +* Alternatively, if you have access to one, it can be run in a managed cloud-based Jupyter hub. Just make sure all the necessary libraries are installed (e.g. `earthaccess`,`xarray`,`hvplot`, etc.). -For further details on the prerequisites, see the 'Prerequisites' section in the notebook. +For further details on the prerequisites, see the 'Prerequisites' section in each notebook. -## Key Learning Objectives -1. Use `earthaccess` to search for ICESat-2 data using spatial and temporal filters and explore search results; -2. Open data granules using direct access to the ICESat-2 S3 bucket; -3. Load a HDF5 group into an `xarray.Dataset`; -4. Visualize the land ice heights using `hvplot`. From 4b00a477b897d2bc113d89d94503ff640c163e92 Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Wed, 18 Sep 2024 19:56:57 +0000 Subject: [PATCH 07/15] importing download function from cs2eo script and updates to mapping with example for single files and list of files --- notebooks/cryo2ice/cartopy_practice.ipynb | 1424 +++++---------------- 1 file changed, 345 insertions(+), 1079 deletions(-) diff --git a/notebooks/cryo2ice/cartopy_practice.ipynb b/notebooks/cryo2ice/cartopy_practice.ipynb index b332df7..24913ba 100644 --- a/notebooks/cryo2ice/cartopy_practice.ipynb +++ b/notebooks/cryo2ice/cartopy_practice.ipynb @@ -2,604 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 47, "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - " var py_version = 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else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || 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handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
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Downloading file {}\".format(padded_count, len(esa_files), os.path.basename(filename)))\n", - "\n", - " with open(os.path.basename(filename), 'wb') as download_file:\n", - " download_file_obj = download_file\n", - " total_byte_count = ftp.size(filename)\n", - " read_byte_count = 0\n", - " ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024)\n", - " print(\"\\n\")\n", - " finally:\n", - " print(\"Exiting FTP.\")\n", - " ftp.quit()" + "#downloading files using cs2eo script\n", + "from SIR_SAR_L2_E_download_script import download_files\n", + "user_email = 'mikala.beig@colorado.edu'\n", + "path = './data/'" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "id": "bd2e49a5-0ba8-4ab5-acfc-7fa29d55cb10", "metadata": {}, "outputs": [], - "source": [ - "user_email = 'mikala.beig@colorado.edu'" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", - "metadata": {}, - "outputs": [], "source": [ "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc']" ] }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "25" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(esa_files)" - ] - }, { "cell_type": "code", "execution_count": 6, - "id": "eb7200bd-caf5-41f1-99b3-e3c5b57e36d3", + "id": "ecef7122-b3d5-4ca0-b207-7ad3c35ca34d", "metadata": {}, "outputs": [ { @@ -809,31 +136,32 @@ } ], "source": [ - "download_files(user_email, esa_files)" + "downloaded_files = download_files(user_email, esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", + "metadata": {}, + "outputs": [], + "source": [ + "!mv CS_LTA__SIR*.nc data" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", "metadata": {}, - "outputs": [ - { - "name": "stdin", - "output_type": "stream", - "text": [ - "Enter your Earthdata Login username: mbeig\n", - "Enter your Earthdata password: ········\n" - ] - } - ], + "outputs": [], "source": [ "auth = earthaccess.login()" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 15, "id": "37139d13-43e4-4563-b436-2879c76677ec", "metadata": {}, "outputs": [ @@ -852,70 +180,42 @@ " cloud_hosted = True,\n", " bounding_box = (-17, 79, 12, 83),\n", " temporal = ('2019-10-01','2020-04-30'),\n", - " count = 4\n", + " count = 10\n", ")" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "5d4dc618-ac7a-4f3e-83c4-6815acacbe9d", + "execution_count": 14, + "id": "392c29a8-82b0-4fa5-a936-432f2ebe480e", "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "\n", - "
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-       "Dimensions:                    (delta_time: 84016)\n",
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+       "Dimensions:               (delta_time: 84016)\n",
        "Coordinates:\n",
-       "  * delta_time                 (delta_time) datetime64[ns] 672kB 2019-10-01T2...\n",
-       "    latitude                   (delta_time) float64 672kB ...\n",
-       "    longitude                  (delta_time) float64 672kB ...\n",
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-       "    ...                         ...\n",
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-       "    podppd_flag                (delta_time) int8 84kB ...\n",
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+       "    latitude              (delta_time) float64 672kB ...\n",
+       "    longitude             (delta_time) float64 672kB ...\n",
+       "Data variables:\n",
+       "    beam_fb_confidence    (delta_time) float32 336kB ...\n",
+       "    beam_fb_height        (delta_time) float32 336kB ...\n",
+       "    beam_fb_quality_flag  (delta_time) int8 84kB ...\n",
+       "    beam_fb_unc           (delta_time) float32 336kB ...\n",
+       "    beam_refsurf_ndx      (delta_time) int32 336kB ...\n",
+       "    geoseg_beg            (delta_time) int32 336kB ...\n",
+       "    geoseg_end            (delta_time) int32 336kB ...\n",
+       "    height_segment_id     (delta_time) int32 336kB ...\n",
+       "    seg_dist_x            (delta_time) float64 672kB ...\n",
        "Attributes:\n",
-       "    Description:  Contains key height segment parameters from ATL07 associate...
  • Description :
    Contains freeboard estimate and associated parameters computed by its beam reference surface section.
    data_rate :
    Data within this group are stored at the variable individual height/freeboard segment rate
  • " ], "text/plain": [ - " Size: 9MB\n", - "Dimensions: (delta_time: 84016)\n", + " Size: 5MB\n", + "Dimensions: (delta_time: 84016)\n", "Coordinates:\n", - " * delta_time (delta_time) datetime64[ns] 672kB 2019-10-01T2...\n", - " latitude (delta_time) float64 672kB ...\n", - " longitude (delta_time) float64 672kB ...\n", - "Data variables: (12/25)\n", - " asr_25 (delta_time) float32 336kB ...\n", - " backgr_calc (delta_time) float32 336kB ...\n", - " backgr_r_200 (delta_time) float32 336kB ...\n", - " backgr_r_25 (delta_time) float32 336kB ...\n", - " background_r_norm (delta_time) float32 336kB ...\n", - " bsnow_con (delta_time) float32 336kB ...\n", - " ... ...\n", - " ice_conc_amsr2 (delta_time) float32 336kB ...\n", - " ice_conc_ssmi (delta_time) float32 336kB ...\n", - " layer_flag (delta_time) int8 84kB ...\n", - " msw_flag (delta_time) int8 84kB ...\n", - " photon_rate (delta_time) float32 336kB ...\n", - " podppd_flag (delta_time) int8 84kB ...\n", + " * delta_time (delta_time) datetime64[ns] 672kB 2019-10-01T21:12:...\n", + " latitude (delta_time) float64 672kB ...\n", + " longitude (delta_time) float64 672kB ...\n", + "Data variables:\n", + " beam_fb_confidence (delta_time) float32 336kB ...\n", + " beam_fb_height (delta_time) float32 336kB ...\n", + " beam_fb_quality_flag (delta_time) int8 84kB ...\n", + " beam_fb_unc (delta_time) float32 336kB ...\n", + " beam_refsurf_ndx (delta_time) int32 336kB ...\n", + " geoseg_beg (delta_time) int32 336kB ...\n", + " geoseg_end (delta_time) int32 336kB ...\n", + " height_segment_id (delta_time) int32 336kB ...\n", + " seg_dist_x (delta_time) float64 672kB ...\n", "Attributes:\n", - " Description: Contains key height segment parameters from ATL07 associate..." + " Description: Contains freeboard estimate and associated parameters compu...\n", + " data_rate: Data within this group are stored at the variable individua..." ] }, - "execution_count": 6, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1593,7 +779,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 21, "id": "0503dfee-7d66-49fa-8482-ad2dc330ff52", "metadata": {}, "outputs": [ @@ -1607,11 +793,11 @@ "application/vnd.holoviews_exec.v0+json": "", "text/html": [ "
    \n", - "
    \n", + "
    \n", "
    \n", "" ], "text/plain": [ - ":Scatter [longitude] (height_segment_height)" + ":Scatter [longitude] (beam_fb_height)" ] }, - "execution_count": 7, + "execution_count": 21, "metadata": { "application/vnd.holoviews_exec.v0+json": { "id": "p1004" @@ -1686,63 +872,87 @@ } ], "source": [ - "ds_is2['height_segment_height'].hvplot(kind='scatter', s=2)" + "ds_is2['beam_fb_height'].hvplot(kind='scatter', s=2)" ] }, { "cell_type": "code", - "execution_count": 8, - "id": "e15d5590-e7d2-44fa-a933-45c5bfc66ce8", + "execution_count": 25, + "id": "fcd90a02-e6d1-4715-8b4b-2f60322ff2d9", + "metadata": {}, + "outputs": [], + "source": [ + "cs2_file = './data/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc'" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "60c1704a-0b17-4d4f-a7a8-dac8fe5b9701", + "metadata": {}, + "outputs": [], + "source": [ + "downloaded_files = os.listdir(path)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": 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"execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "ds_is2.height_segment_height.plot()" + "downloaded_files" ] }, { "cell_type": "code", - "execution_count": 24, - "id": "fcd90a02-e6d1-4715-8b4b-2f60322ff2d9", - "metadata": {}, - "outputs": [], - "source": [ - "cs2_file = './CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc'" - ] - }, - { - "cell_type": "code", - "execution_count": 26, + "execution_count": 51, "id": "8657ed36-d583-46b9-8ed2-9b1b57cb5786", "metadata": {}, "outputs": [], "source": [ - "ds_cs2 = xr.open_dataset(cs2_file)" + "ds_cs2 = xr.open_dataset(path + downloaded_files[0])" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 52, "id": "e6c33790-d36c-4f8f-a7cf-3ba47d752eb4", "metadata": {}, "outputs": [ @@ -2112,31 +1322,31 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.Dataset> Size: 1MB\n",
    -       "Dimensions:                           (time_cor_01: 228, time_20_ku: 4551)\n",
    +       "
    <xarray.Dataset> Size: 3MB\n",
    +       "Dimensions:                           (time_cor_01: 596, time_20_ku: 11905)\n",
            "Coordinates:\n",
    -       "    lat_01                            (time_cor_01) float64 2kB ...\n",
    -       "    lat_poca_20_ku                    (time_20_ku) float64 36kB ...\n",
    -       "    lon_01                            (time_cor_01) float64 2kB ...\n",
    -       "    lon_poca_20_ku                    (time_20_ku) float64 36kB ...\n",
    -       "  * time_20_ku                        (time_20_ku) datetime64[ns] 36kB 2019-1...\n",
    -       "  * time_cor_01                       (time_cor_01) datetime64[ns] 2kB 2019-1...\n",
    +       "    lat_01                            (time_cor_01) float64 5kB ...\n",
    +       "    lat_poca_20_ku                    (time_20_ku) float64 95kB ...\n",
    +       "    lon_01                            (time_cor_01) float64 5kB ...\n",
    +       "    lon_poca_20_ku                    (time_20_ku) float64 95kB ...\n",
    +       "  * time_20_ku                        (time_20_ku) datetime64[ns] 95kB 2020-0...\n",
    +       "  * time_cor_01                       (time_cor_01) datetime64[ns] 5kB 2020-0...\n",
            "Data variables: (12/54)\n",
    -       "    alt_01                            (time_cor_01) float64 2kB ...\n",
    -       "    echo_avg_numval_20_ku             (time_20_ku) float32 18kB ...\n",
    -       "    flag_cor_applied_20_ku            (time_20_ku) float64 36kB ...\n",
    -       "    flag_cor_err_01                   (time_cor_01) float64 2kB ...\n",
    -       "    flag_instr_conf_rx_str_in_use_01  (time_cor_01) float32 912B ...\n",
    -       "    flag_instr_mode_op_20_ku          (time_20_ku) float32 18kB ...\n",
    +       "    alt_01                            (time_cor_01) float64 5kB ...\n",
    +       "    echo_avg_numval_20_ku             (time_20_ku) float32 48kB ...\n",
    +       "    flag_cor_applied_20_ku            (time_20_ku) float64 95kB ...\n",
    +       "    flag_cor_err_01                   (time_cor_01) float64 5kB ...\n",
    +       "    flag_instr_conf_rx_str_in_use_01  (time_cor_01) float32 2kB ...\n",
    +       "    flag_instr_mode_op_20_ku          (time_20_ku) float32 48kB ...\n",
            "    ...                                ...\n",
    -       "    ssha_interp_20_ku                 (time_20_ku) float64 36kB ...\n",
    -       "    ssha_interp_numval_20_ku          (time_20_ku) float32 18kB ...\n",
    -       "    ssha_interp_rms_20_ku             (time_20_ku) float64 36kB ...\n",
    -       "    surf_type_20_ku                   (time_20_ku) float32 18kB ...\n",
    -       "    swh_ocean_01_ku                   (time_cor_01) float64 2kB ...\n",
    -       "    wind_speed_alt_01_ku              (time_cor_01) float64 2kB ...\n",
    +       "    ssha_interp_20_ku                 (time_20_ku) float64 95kB ...\n",
    +       "    ssha_interp_numval_20_ku          (time_20_ku) float32 48kB ...\n",
    +       "    ssha_interp_rms_20_ku             (time_20_ku) float64 95kB ...\n",
    +       "    surf_type_20_ku                   (time_20_ku) float32 48kB ...\n",
    +       "    swh_ocean_01_ku                   (time_cor_01) float64 5kB ...\n",
    +       "    wind_speed_alt_01_ku              (time_cor_01) float64 5kB ...\n",
            "Attributes: (12/101)\n",
    -       "    product_name:                 CS_LTA__SIR_SAR_2__20191005T151255_20191005...\n",
    +       "    product_name:                 CS_LTA__SIR_SAR_2__20200110T203717_20200110...\n",
            "    processing_stage:             LTA_\n",
            "    reference_document:           CS-RS-ACS-ESL-5265 2.1\n",
            "    doi:                          10.5270/CR2-388fb81\n",
    @@ -2145,95 +1355,95 @@
            "    ...                           ...\n",
            "    xref_surf_type:               CS_OPER_AUX_LS_MAP_00000000T000000_99999999...\n",
            "    xref_tidal_load:              CS_OPER_AUX_TDLOAD_00000000T000000_99999999...\n",
    -       "    xref_u_wind:                  CS_OPER_AUX_U_WIND_20191005T120000_20191005...\n",
    +       "    xref_u_wind:                  CS_OPER_AUX_U_WIND_20200110T180000_20200110...\n",
            "    xref_uso:                     CS_OPER_AUX_DORUSO_20100411T040029_20211117...\n",
    -       "    xref_v_wind:                  CS_OPER_AUX_V_WIND_20191005T120000_20191005...\n",
    -       "    xref_wet_trop:                CS_OPER_AUX_WETTRP_20191005T120000_20191005...
    " + " '2020-01-10 20:46:41.189558016',\n", + " '2020-01-10 20:46:42.089355008',\n", + " '2020-01-10 20:46:42.989136',\n", + " '2020-01-10 20:46:43.888915968',\n", + " '2020-01-10 20:46:44.788686976',\n", + " '2020-01-10 20:46:45.688448',\n", + " '2020-01-10 20:46:46.588208',\n", + " '2020-01-10 20:46:47.487968',\n", + " '2020-01-10 20:46:48.387716096',\n", + " '2020-01-10 20:46:49.287456'],\n", + " dtype='datetime64[ns]', name='time_cor_01', length=596, freq=None))
  • product_name :
    CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001
    processing_stage :
    LTA_
    reference_document :
    CS-RS-ACS-ESL-5265 2.1
    doi :
    10.5270/CR2-388fb81
    acquisition_station :
    Kiruna
    mission :
    Cryosat
    processing_centre :
    PDS
    creation_time :
    UTC=2023-03-17T22:47:56
    sensing_start :
    10-JAN-2020 20:37:16.967813
    sensing_stop :
    10-JAN-2020 20:46:12.287456
    software_version :
    IPF2SAR/7.1
    phase :
    2
    cycle_number :
    11
    rel_orbit_number :
    5243
    abs_orbit_number :
    51726
    state_vector_time :
    UTC=2020-01-10T20:41:44.627635
    delta_ut1 :
    0.0
    x_position :
    -549065.4375
    y_position :
    -340840.09375
    z_position :
    7055642.5
    x_velocity :
    -7409.91845703125
    y_velocity :
    -1110.4063720703125
    z_velocity :
    -624.103759765625
    vector_source :
    doris_precise
    leap_utc :
    leap_sign :
    0
    leap_err :
    0
    product_err :
    0
    first_record_time :
    TAI=2020-01-10T20:37:53.967813
    last_record_time :
    TAI=2020-01-10T20:46:49.287456
    abs_orbit_start :
    51726
    rel_time_acs_node_start :
    1295.9014892578125
    abs_orbit_stop :
    51726
    rel_time_acs_node_stop :
    1831.2210693359375
    equator_cross_time :
    UTC=2020-01-10T20:15:41.042779
    equator_cross_long :
    15551958
    ascending_flag :
    A
    first_record_lat :
    78476904
    first_record_lon :
    173419
    last_record_lat :
    68969026
    last_record_lon :
    -166827194
    instr_id :
    A
    open_ocean_percent :
    10000
    close_sea_percent :
    0
    continent_ice_percent :
    0
    land_percent :
    0
    lrm_mode_percent :
    0
    sar_mode_percent :
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    sarin_mode_percent :
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    l2_prod_status :
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    l2_proc_flag :
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    l2_processing_quality :
    9987
    l2_proc_thresh :
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    l1b_proc_flag :
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    l1b_proc_thresh :
    500
    l1b_processing_quality :
    10000
    l1b_prod_status :
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    sir_configuration :
    RX_1
    sir_op_mode :
    SAR
    xref_cal1 :
    CS_OFFL_SIR1SAC11B_20191231T115924_20210101T115924_E100.DBL
    xref_cal1_sarin :
    CS_OFFL_SIR_SICC1B_20200110T115924_20200110T115924_D100.DBL
    xref_cal2 :
    CS_OFFL_SIR1SAC21B_20200101T115924_20200101T115924_D100.DBL
    xref_constants :
    Geophysical_Constants_5.0.xml
    xref_dip_map :
    CS_OPER_AUX_DIPMAP_00000000T000000_99999999T999999_0002.DBL
    xref_earth_tide :
    CS_OPER_AUX_CARTWR_00000000T000000_99999999T999999_0002.DBL
    xref_geoid :
    CS_OPER_AUX_GEOID__00000000T000000_99999999T999999_0002.DBL
    xref_gim :
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    xref_iono_cor :
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    xref_mean_pressure :
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    xref_meteo :
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    xref_mog2d :
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    xref_mss :
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    xref_ocean_tide :
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    xref_odle :
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    xref_orbit :
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    xref_orbit_scenario :
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    xref_pconf :
    CS_OPER_PCONF_IPF1_20161001T000000_99999999T000000_0001.XML,CS_OPER_PCONF_IPF2_20150427T000000_99999999T999999_0010.XML
    xref_pole_location :
    CS_OPER_AUX_POLLOC_19870101T000000_20230111T000000_0001.DBL
    xref_s1_tide_amplitude :
    CS_OPER_AUX_S1AMPL_00000000T000000_99999999T999999_0001.DBL
    xref_s1_tide_phase :
    CS_OPER_AUX_S1PHAS_00000000T000000_99999999T999999_0001.DBL
    xref_s1s2_pressure_00h :
    CS_OPER_AUX_PRSS00_00000000T000000_99999999T999999_0001.DBL
    xref_s1s2_pressure_06h :
    CS_OPER_AUX_PRSS06_00000000T000000_99999999T999999_0001.DBL
    xref_s1s2_pressure_12h :
    CS_OPER_AUX_PRSS12_00000000T000000_99999999T999999_0001.DBL
    xref_s1s2_pressure_18h :
    CS_OPER_AUX_PRSS18_00000000T000000_99999999T999999_0001.DBL
    xref_s2_tide_amplitude :
    CS_OPER_AUX_S2AMPL_00000000T000000_99999999T999999_0001.DBL
    xref_s2_tide_phase :
    CS_OPER_AUX_S2PHAS_00000000T000000_99999999T999999_0001.DBL
    xref_sai :
    CS_OPER_AUX_SUNACT_19910101T000000_20230101T000000_0001.DBL
    xref_sea_ice :
    CS_OPER_AUX_SEA_IC_20200109T000000_20200111T235959_0003.DBL
    xref_sea_ice_type_north :
    CS_OPER_AUX_DSITNH_20200111T000000_20200111T235959_0001.DBL
    xref_siral_characterisation :
    CS_OPER_AUX_IPFDBA_20100701T000000_99999999T999999_0003.EEF
    xref_siral_l0 :
    CS_OPER_SIR1SAR_0__20200110T203717_20200110T204613_0001.DBL,CS_OPER_SIR1TKSA0__20200110T203717_20200110T204613_0001.DBL
    xref_siral_l1b :
    CS_LTA__SIR_SAR_1B_20200110T203717_20200110T204612_E001.DBL
    xref_snow_depth :
    CS_OPER_AUX_SDC_01_00000000T000000_99999999T999999_0005.DBL
    xref_star_tracker_attref :
    CS_OFFL_STR_ATTREF_20200109T215523_20200111T002321_E001.EEF
    xref_surf_pressure :
    CS_OPER_AUX_SURFPS_20200110T180000_20200110T180000_0001.DBL,CS_OPER_AUX_SURFPS_20200111T000000_20200111T000000_0001.DBL
    xref_surf_type :
    CS_OPER_AUX_LS_MAP_00000000T000000_99999999T999999_0002.DBL
    xref_tidal_load :
    CS_OPER_AUX_TDLOAD_00000000T000000_99999999T999999_0003.DBL
    xref_u_wind :
    CS_OPER_AUX_U_WIND_20200110T180000_20200110T180000_0001.DBL,CS_OPER_AUX_U_WIND_20200111T000000_20200111T000000_0001.DBL
    xref_uso :
    CS_OPER_AUX_DORUSO_20100411T040029_20211117T033313_0001.DBL
    xref_v_wind :
    CS_OPER_AUX_V_WIND_20200110T180000_20200110T180000_0001.DBL,CS_OPER_AUX_V_WIND_20200111T000000_20200111T000000_0001.DBL
    xref_wet_trop :
    CS_OPER_AUX_WETTRP_20200110T180000_20200110T180000_0001.DBL,CS_OPER_AUX_WETTRP_20200111T000000_20200111T000000_0001.DBL
  • " ], "text/plain": [ - " Size: 1MB\n", - "Dimensions: (time_cor_01: 228, time_20_ku: 4551)\n", + " Size: 3MB\n", + "Dimensions: (time_cor_01: 596, time_20_ku: 11905)\n", "Coordinates:\n", - " lat_01 (time_cor_01) float64 2kB ...\n", - " lat_poca_20_ku (time_20_ku) float64 36kB ...\n", - " lon_01 (time_cor_01) float64 2kB ...\n", - " lon_poca_20_ku (time_20_ku) float64 36kB ...\n", - " * time_20_ku (time_20_ku) datetime64[ns] 36kB 2019-1...\n", - " * time_cor_01 (time_cor_01) datetime64[ns] 2kB 2019-1...\n", + " lat_01 (time_cor_01) float64 5kB ...\n", + " lat_poca_20_ku (time_20_ku) float64 95kB ...\n", + " lon_01 (time_cor_01) float64 5kB ...\n", + " lon_poca_20_ku (time_20_ku) float64 95kB ...\n", + " * time_20_ku (time_20_ku) datetime64[ns] 95kB 2020-0...\n", + " * time_cor_01 (time_cor_01) datetime64[ns] 5kB 2020-0...\n", "Data variables: (12/54)\n", - " alt_01 (time_cor_01) float64 2kB ...\n", - " echo_avg_numval_20_ku (time_20_ku) float32 18kB ...\n", - " flag_cor_applied_20_ku (time_20_ku) float64 36kB ...\n", - " flag_cor_err_01 (time_cor_01) float64 2kB ...\n", - " flag_instr_conf_rx_str_in_use_01 (time_cor_01) float32 912B ...\n", - " flag_instr_mode_op_20_ku (time_20_ku) float32 18kB ...\n", + " alt_01 (time_cor_01) float64 5kB ...\n", + " echo_avg_numval_20_ku (time_20_ku) float32 48kB ...\n", + " flag_cor_applied_20_ku (time_20_ku) float64 95kB ...\n", + " flag_cor_err_01 (time_cor_01) float64 5kB ...\n", + " flag_instr_conf_rx_str_in_use_01 (time_cor_01) float32 2kB ...\n", + " flag_instr_mode_op_20_ku (time_20_ku) float32 48kB ...\n", " ... ...\n", - " ssha_interp_20_ku (time_20_ku) float64 36kB ...\n", - " ssha_interp_numval_20_ku (time_20_ku) float32 18kB ...\n", - " ssha_interp_rms_20_ku (time_20_ku) float64 36kB ...\n", - " surf_type_20_ku (time_20_ku) float32 18kB ...\n", - " swh_ocean_01_ku (time_cor_01) float64 2kB ...\n", - " wind_speed_alt_01_ku (time_cor_01) float64 2kB ...\n", + " ssha_interp_20_ku (time_20_ku) float64 95kB ...\n", + " ssha_interp_numval_20_ku (time_20_ku) float32 48kB ...\n", + " ssha_interp_rms_20_ku (time_20_ku) float64 95kB ...\n", + " surf_type_20_ku (time_20_ku) float32 48kB ...\n", + " swh_ocean_01_ku (time_cor_01) float64 5kB ...\n", + " wind_speed_alt_01_ku (time_cor_01) float64 5kB ...\n", "Attributes: (12/101)\n", - " product_name: CS_LTA__SIR_SAR_2__20191005T151255_20191005...\n", + " product_name: CS_LTA__SIR_SAR_2__20200110T203717_20200110...\n", " processing_stage: LTA_\n", " reference_document: CS-RS-ACS-ESL-5265 2.1\n", " doi: 10.5270/CR2-388fb81\n", @@ -2242,13 +1452,13 @@ " ... ...\n", " xref_surf_type: CS_OPER_AUX_LS_MAP_00000000T000000_99999999...\n", " xref_tidal_load: CS_OPER_AUX_TDLOAD_00000000T000000_99999999...\n", - " xref_u_wind: CS_OPER_AUX_U_WIND_20191005T120000_20191005...\n", + " xref_u_wind: CS_OPER_AUX_U_WIND_20200110T180000_20200110...\n", " xref_uso: CS_OPER_AUX_DORUSO_20100411T040029_20211117...\n", - " xref_v_wind: CS_OPER_AUX_V_WIND_20191005T120000_20191005...\n", - " xref_wet_trop: CS_OPER_AUX_WETTRP_20191005T120000_20191005..." + " xref_v_wind: CS_OPER_AUX_V_WIND_20200110T180000_20200110...\n", + " xref_wet_trop: CS_OPER_AUX_WETTRP_20200110T180000_20200110..." ] }, - "execution_count": 29, + "execution_count": 52, "metadata": {}, "output_type": "execute_result" } @@ -2259,7 +1469,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 42, "id": "795b0bdd-0895-4de4-8008-b6f15fcf2b3e", "metadata": {}, "outputs": [ @@ -2272,12 +1482,12 @@ "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ - "
    \n", - "
    \n", + "
    \n", + "
    \n", "
    \n", "" + ] + }, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1002" + } + }, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import platform\n", + "from ftplib import FTP\n", + "import sys\n", + "\n", + "\n", + "# For searching and accessing NASA data\n", + "import earthaccess\n", + "\n", + "# For reading data, analysis and plotting\n", + "import xarray as xr\n", + "import hvplot.xarray\n", + "\n", + "# For nice printing of python objects\n", + "import pprint \n", + "\n", + "# For plotting\n", + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "#downloading files using cs2eo script\n", + "from SIR_SAR_L2_E_download_script import download_files\n", + "\n", + "## use your own email here\n", + "user_email = \n", + "path = './data/'" + ] + }, + { + "cell_type": "markdown", + "id": "58c3ef53-7223-42da-afd4-e14e87caa85d", + "metadata": {}, + "source": [ + "Copy the list of ESA files from within SIR_SAR_L2_E_download_script.py " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ac8e451e-b687-4c13-a5b8-9b700a519a46", + "metadata": {}, + "outputs": [], + "source": [ + "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', \n", + " 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', \n", + " 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', \n", + " 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', \n", + " 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', \n", + " 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', \n", + " 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', \n", + " 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', \n", + " 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', \n", + " 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', \n", + " 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', \n", + " 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', \n", + " 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', \n", + " 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', \n", + " 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', \n", + " 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', \n", + " 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', \n", + " 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', \n", + " 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', \n", + " 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc']" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f610c15e-5ad8-46d8-a7a4-1e0c2820a580", + "metadata": {}, + "outputs": [], + "source": [ + "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', \n", + " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', \n", + " 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc']" + ] + }, + { + "cell_type": "markdown", + "id": "eaa73f90-84f0-4429-854a-784c95afde66", + "metadata": {}, + "source": [ + "Download the CryoSat-2 files into your hub instance by calling the download_files function you imported from the script." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ecef7122-b3d5-4ca0-b207-7ad3c35ca34d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "About to connect to ESA science server\n", + "Downloading 3 files\n", + "1/3. Downloading file CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "2/3. Downloading file CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "3/3. Downloading file CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc\n", + " [============================================================] 100 % \n", + "\n", + "Exiting FTP.\n" + ] + } + ], + "source": [ + "download_files(user_email, esa_files)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", + "metadata": {}, + "outputs": [], + "source": [ + "!mv CS_LTA__SIR*.nc data" + ] + }, + { + "cell_type": "markdown", + "id": "aeb468e5-7a5a-456c-96cb-6808af3f5eaa", + "metadata": {}, + "source": [ + "### Use `earthaccess` for querying and direct S3 access of ATL10" + ] + }, + { + "cell_type": "markdown", + "id": "5d4de547-bf95-480a-898d-eb6d694f5216", + "metadata": {}, + "source": [ + "First we authenticate using `earthaccess`" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", + "metadata": {}, + "outputs": [], + "source": [ + "auth = earthaccess.login()" + ] + }, + { + "cell_type": "markdown", + "id": "fb7adbf2-1148-4075-8578-91e01fbeacfc", + "metadata": {}, + "source": [ + "Then we use a spatial filter to search for ATL10 granules that intersect our area of interest." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "37139d13-43e4-4563-b436-2879c76677ec", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Granules found: 665\n" + ] + } + ], + "source": [ + "results = earthaccess.search_data(\n", + " short_name = 'ATL10',\n", + " version = '006',\n", + " cloud_hosted = True,\n", + " bounding_box = (-17, 79, 12, 83),\n", + " temporal = ('2019-10-01','2020-04-30'),\n", + " count = 10\n", + ")\n", + "#note that with count=10 we're limiting the number of files we actually access for this tutorial." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b883fc7f-1c26-471c-88c4-664fa59bed16", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "
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    Data: ATL10-01_20191001205059_00760501_006_02.h5

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    Size: 71.51 MB

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    Cloud Hosted: True

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    \n", + " " + ], + "text/plain": [ + "Collection: {'EntryTitle': 'ATLAS/ICESat-2 L3A Sea Ice Freeboard V006'}\n", + "Spatial coverage: {'HorizontalSpatialDomain': {'Orbit': {'AscendingCrossing': 28.420476874146534, 'StartLatitude': 27.0, 'StartDirection': 'A', 'EndLatitude': 27.0, 'EndDirection': 'D'}}}\n", + "Temporal coverage: {'RangeDateTime': {'BeginningDateTime': '2019-10-01T21:12:34.553Z', 'EndingDateTime': '2019-10-01T21:17:44.897Z'}}\n", + "Size(MB): 71.51309871673584\n", + "Data: ['https://data.nsidc.earthdatacloud.nasa.gov/nsidc-cumulus-prod-protected/ATLAS/ATL10/006/2019/10/01/ATL10-01_20191001205059_00760501_006_02.h5']" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "display(results[1])" + ] + }, + { + "cell_type": "markdown", + "id": "e58e1111-1b07-47ec-952b-036290346f4c", + "metadata": {}, + "source": [ + "We use earthaccess.open() to directly access the ATL10 files within their S3 bucket" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a80212ab-ee66-4d06-8a4a-47169092159e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2 µs, sys: 0 ns, total: 2 µs\n", + "Wall time: 5.48 µs\n", + "Opening 10 granules, approx size: 0.48 GB\n", + "using provider: NSIDC_CPRD\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d3015aefcf494b159107ce86aec00b4b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "QUEUEING TASKS | : 0%| | 0/10 [00:00\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 5MB\n",
    +       "Dimensions:               (delta_time: 84016)\n",
    +       "Coordinates:\n",
    +       "  * delta_time            (delta_time) datetime64[ns] 672kB 2019-10-01T21:12:...\n",
    +       "    latitude              (delta_time) float64 672kB ...\n",
    +       "    longitude             (delta_time) float64 672kB ...\n",
    +       "Data variables:\n",
    +       "    beam_fb_confidence    (delta_time) float32 336kB ...\n",
    +       "    beam_fb_height        (delta_time) float32 336kB ...\n",
    +       "    beam_fb_quality_flag  (delta_time) int8 84kB ...\n",
    +       "    beam_fb_unc           (delta_time) float32 336kB ...\n",
    +       "    beam_refsurf_ndx      (delta_time) int32 336kB ...\n",
    +       "    geoseg_beg            (delta_time) int32 336kB ...\n",
    +       "    geoseg_end            (delta_time) int32 336kB ...\n",
    +       "    height_segment_id     (delta_time) int32 336kB ...\n",
    +       "    seg_dist_x            (delta_time) float64 672kB ...\n",
    +       "Attributes:\n",
    +       "    Description:  Contains freeboard estimate and associated parameters compu...\n",
    +       "    data_rate:    Data within this group are stored at the variable individua...
    " + ], + "text/plain": [ + " Size: 5MB\n", + "Dimensions: (delta_time: 84016)\n", + "Coordinates:\n", + " * delta_time (delta_time) datetime64[ns] 672kB 2019-10-01T21:12:...\n", + " latitude (delta_time) float64 672kB ...\n", + " longitude (delta_time) float64 672kB ...\n", + "Data variables:\n", + " beam_fb_confidence (delta_time) float32 336kB ...\n", + " beam_fb_height (delta_time) float32 336kB ...\n", + " beam_fb_quality_flag (delta_time) int8 84kB ...\n", + " beam_fb_unc (delta_time) float32 336kB ...\n", + " beam_refsurf_ndx (delta_time) int32 336kB ...\n", + " geoseg_beg (delta_time) int32 336kB ...\n", + " geoseg_end (delta_time) int32 336kB ...\n", + " height_segment_id (delta_time) int32 336kB ...\n", + " seg_dist_x (delta_time) float64 672kB ...\n", + "Attributes:\n", + " Description: Contains freeboard estimate and associated parameters compu...\n", + " data_rate: Data within this group are stored at the variable individua..." + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_is2 = xr.open_dataset(icesat2_files[1], group='gt2r/freeboard_segment')\n", + "ds_is2" + ] + }, + { + "cell_type": "markdown", + "id": "c603f6a6-7dcb-4a6f-9130-0bab933ff3c6", + "metadata": {}, + "source": [ + "And we can use hvplot to plot one of the variables within that group." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0503dfee-7d66-49fa-8482-ad2dc330ff52", + "metadata": {}, + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
    \n", + "
    \n", + "
    \n", + "" + ], + "text/plain": [ + ":Scatter [longitude] (beam_fb_height)" + ] + }, + "execution_count": 10, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1004" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "ds_is2['beam_fb_height'].hvplot(kind='scatter', s=2)" + ] + }, + { + "cell_type": "markdown", + "id": "6a89c207-028f-47df-b7d9-5723bd5e836f", + "metadata": {}, + "source": [ + "### Open and plot downloaded CryoSat-2 data " + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "60c1704a-0b17-4d4f-a7a8-dac8fe5b9701", + "metadata": {}, + "outputs": [], + "source": [ + "downloaded_files = os.listdir(path)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ab49f814-2fe4-4756-b006-96b423cdf265", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc',\n", + " 'CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc']" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "downloaded_files" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8657ed36-d583-46b9-8ed2-9b1b57cb5786", + "metadata": {}, + "outputs": [], + "source": [ + "ds_cs2 = xr.open_dataset(path + downloaded_files[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "e6c33790-d36c-4f8f-a7cf-3ba47d752eb4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 3MB\n",
    +       "Dimensions:                           (time_cor_01: 596, time_20_ku: 11905)\n",
    +       "Coordinates:\n",
    +       "    lat_01                            (time_cor_01) float64 5kB ...\n",
    +       "    lat_poca_20_ku                    (time_20_ku) float64 95kB ...\n",
    +       "    lon_01                            (time_cor_01) float64 5kB ...\n",
    +       "    lon_poca_20_ku                    (time_20_ku) float64 95kB ...\n",
    +       "  * time_20_ku                        (time_20_ku) datetime64[ns] 95kB 2020-0...\n",
    +       "  * time_cor_01                       (time_cor_01) datetime64[ns] 5kB 2020-0...\n",
    +       "Data variables: (12/54)\n",
    +       "    alt_01                            (time_cor_01) float64 5kB ...\n",
    +       "    echo_avg_numval_20_ku             (time_20_ku) float32 48kB ...\n",
    +       "    flag_cor_applied_20_ku            (time_20_ku) float64 95kB ...\n",
    +       "    flag_cor_err_01                   (time_cor_01) float64 5kB ...\n",
    +       "    flag_instr_conf_rx_str_in_use_01  (time_cor_01) float32 2kB ...\n",
    +       "    flag_instr_mode_op_20_ku          (time_20_ku) float32 48kB ...\n",
    +       "    ...                                ...\n",
    +       "    ssha_interp_20_ku                 (time_20_ku) float64 95kB ...\n",
    +       "    ssha_interp_numval_20_ku          (time_20_ku) float32 48kB ...\n",
    +       "    ssha_interp_rms_20_ku             (time_20_ku) float64 95kB ...\n",
    +       "    surf_type_20_ku                   (time_20_ku) float32 48kB ...\n",
    +       "    swh_ocean_01_ku                   (time_cor_01) float64 5kB ...\n",
    +       "    wind_speed_alt_01_ku              (time_cor_01) float64 5kB ...\n",
    +       "Attributes: (12/101)\n",
    +       "    product_name:                 CS_LTA__SIR_SAR_2__20200110T203717_20200110...\n",
    +       "    processing_stage:             LTA_\n",
    +       "    reference_document:           CS-RS-ACS-ESL-5265 2.1\n",
    +       "    doi:                          10.5270/CR2-388fb81\n",
    +       "    acquisition_station:          Kiruna              \n",
    +       "    mission:                      Cryosat\n",
    +       "    ...                           ...\n",
    +       "    xref_surf_type:               CS_OPER_AUX_LS_MAP_00000000T000000_99999999...\n",
    +       "    xref_tidal_load:              CS_OPER_AUX_TDLOAD_00000000T000000_99999999...\n",
    +       "    xref_u_wind:                  CS_OPER_AUX_U_WIND_20200110T180000_20200110...\n",
    +       "    xref_uso:                     CS_OPER_AUX_DORUSO_20100411T040029_20211117...\n",
    +       "    xref_v_wind:                  CS_OPER_AUX_V_WIND_20200110T180000_20200110...\n",
    +       "    xref_wet_trop:                CS_OPER_AUX_WETTRP_20200110T180000_20200110...
    " + ], + "text/plain": [ + " Size: 3MB\n", + "Dimensions: (time_cor_01: 596, time_20_ku: 11905)\n", + "Coordinates:\n", + " lat_01 (time_cor_01) float64 5kB ...\n", + " lat_poca_20_ku (time_20_ku) float64 95kB ...\n", + " lon_01 (time_cor_01) float64 5kB ...\n", + " lon_poca_20_ku (time_20_ku) float64 95kB ...\n", + " * time_20_ku (time_20_ku) datetime64[ns] 95kB 2020-0...\n", + " * time_cor_01 (time_cor_01) datetime64[ns] 5kB 2020-0...\n", + "Data variables: (12/54)\n", + " alt_01 (time_cor_01) float64 5kB ...\n", + " echo_avg_numval_20_ku (time_20_ku) float32 48kB ...\n", + " flag_cor_applied_20_ku (time_20_ku) float64 95kB ...\n", + " flag_cor_err_01 (time_cor_01) float64 5kB ...\n", + " flag_instr_conf_rx_str_in_use_01 (time_cor_01) float32 2kB ...\n", + " flag_instr_mode_op_20_ku (time_20_ku) float32 48kB ...\n", + " ... ...\n", + " ssha_interp_20_ku (time_20_ku) float64 95kB ...\n", + " ssha_interp_numval_20_ku (time_20_ku) float32 48kB ...\n", + " ssha_interp_rms_20_ku (time_20_ku) float64 95kB ...\n", + " surf_type_20_ku (time_20_ku) float32 48kB ...\n", + " swh_ocean_01_ku (time_cor_01) float64 5kB ...\n", + " wind_speed_alt_01_ku (time_cor_01) float64 5kB ...\n", + "Attributes: (12/101)\n", + " product_name: CS_LTA__SIR_SAR_2__20200110T203717_20200110...\n", + " processing_stage: LTA_\n", + " reference_document: CS-RS-ACS-ESL-5265 2.1\n", + " doi: 10.5270/CR2-388fb81\n", + " acquisition_station: Kiruna \n", + " mission: Cryosat\n", + " ... ...\n", + " xref_surf_type: CS_OPER_AUX_LS_MAP_00000000T000000_99999999...\n", + " xref_tidal_load: CS_OPER_AUX_TDLOAD_00000000T000000_99999999...\n", + " xref_u_wind: CS_OPER_AUX_U_WIND_20200110T180000_20200110...\n", + " xref_uso: CS_OPER_AUX_DORUSO_20100411T040029_20211117...\n", + " xref_v_wind: CS_OPER_AUX_V_WIND_20200110T180000_20200110...\n", + " xref_wet_trop: CS_OPER_AUX_WETTRP_20200110T180000_20200110..." + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_cs2" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "795b0bdd-0895-4de4-8008-b6f15fcf2b3e", + "metadata": {}, + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
    \n", + "
    \n", + "
    \n", + "" + ], + "text/plain": [ + ":Scatter [time_20_ku] (radar_freeboard_20_ku)" + ] + }, + "execution_count": 15, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1067" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "ds_cs2['radar_freeboard_20_ku'].hvplot(kind='scatter', s=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a5df658e-a51e-4240-a292-64df3acbf790", + "metadata": {}, + "outputs": [], + "source": [ + "import cartopy.feature as cfeature" + ] + }, + { + "cell_type": "markdown", + "id": "40a8164d-f5c1-4049-aefe-aeb08295092b", + "metadata": {}, + "source": [ + "### Plot ICESat-2 and CryoSat-2 Freeboards on same map" + ] + }, + { + "cell_type": "markdown", + "id": "ad5f7f2c-2ff8-47cc-8ea8-337f9183c20e", + "metadata": {}, + "source": [ + "Here we're plotting one of each to save time." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "11476d13-0f1f-44f7-a364-4a949554d8c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "projection = ccrs.Stereographic(central_latitude=90.,\n", + " central_longitude=-45.,\n", + " true_scale_latitude=70.)\n", + "extent = [-2500000.000, 2500000., -2500000., 2500000.000]\n", + "\n", + "\n", + "fig = plt.figure(figsize=(10,10))\n", + "ax = fig.add_subplot(projection=projection)\n", + "ax.set_extent(extent, projection)\n", + "ax.add_feature(cfeature.OCEAN)\n", + "ax.add_feature(cfeature.LAND)\n", + "ax.gridlines(draw_labels=True)\n", + "\n", + "vmin = 0.\n", + "vmax = 1.\n", + "\n", + "# Plot Cryosat freeboard\n", + "cs2_img = ax.scatter(ds_cs2.lon_poca_20_ku, ds_cs2.lat_poca_20_ku, 5,\n", + " c=ds_cs2.radar_freeboard_20_ku, \n", + " vmin=vmin, vmax=vmax, # Set max and min values for plotting\n", + " cmap='Reds', # shading='auto' to avoid warning\n", + " transform=ccrs.PlateCarree()) # coords are lat,lon but map if NPS \n", + "\n", + "# Plot IS2 freeboard \n", + "is2_img = ax.scatter(ds_is2.longitude, ds_is2.latitude, 5,\n", + " c=ds_is2.beam_fb_height, \n", + " vmin=vmin, vmax=vmax, \n", + " cmap='Purples', \n", + " transform=ccrs.PlateCarree())\n", + "\n", + "# Add colorbars\n", + "fig.colorbar(cs2_img, label='Cryosat-2 Radar Freeboard (m)')\n", + "fig.colorbar(is2_img, label='ICESat-2 Lidar Freeboard (m)')" + ] + }, + { + "cell_type": "markdown", + "id": "392bb8fd-8ec6-4fd4-b6db-dc0386094c7f", + "metadata": {}, + "source": [ + "Here we're plotting several ICESat-2 and CryoSat-2 files at a time. This takes a few minutes to render." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4815c13b-88c3-4d10-850e-02cf766d1844", + "metadata": {}, + "outputs": [], + "source": [ + "%%time\n", + "\n", + "# NSIDC WGS84 Polar Stereographic \n", + "projection = ccrs.Stereographic(central_latitude=90.,\n", + " central_longitude=-45.,\n", + " true_scale_latitude=70.)\n", + "extent = [-2500000.000, 2500000., -2500000., 2500000.000]\n", + "\n", + "fig = plt.figure(figsize=(10,10))\n", + "ax = fig.add_subplot(projection=projection)\n", + "ax.set_extent(extent, projection)\n", + "# ax.coastlines()\n", + "ax.add_feature(cfeature.OCEAN)\n", + "ax.add_feature(cfeature.LAND)\n", + "\n", + "ax.gridlines(draw_labels=True)\n", + "\n", + "vmin = 0.\n", + "vmax = 1.\n", + "\n", + "# Plot CryoSat-2 freeboards\n", + "for fp in downloaded_files:\n", + " ds = xr.open_dataset(path + fp)\n", + " cs2= plt.scatter(ds.lon_poca_20_ku, ds.lat_poca_20_ku, 5,\n", + " c=ds.radar_freeboard_20_ku, cmap=\"Reds\",\n", + " vmin=vmin, vmax=vmax,\n", + " transform=ccrs.PlateCarree())\n", + "\n", + "# Plot ICESat-2 freeboards\n", + "for fp in icesat2_files:\n", + " ds = xr.open_dataset(fp, group='gt2r/freeboard_segment')\n", + " is2 = plt.scatter(ds.longitude, ds.latitude, 5,\n", + " c=ds.beam_fb_height, cmap=\"Purples\",\n", + " vmin=vmin, vmax=vmax,\n", + " transform=ccrs.PlateCarree())\n", + " \n", + "fig.colorbar(cs2, label=\"CryoSat-2 Radar Freeboard (m)\")\n", + "fig.colorbar(is2, label=\"ICESat-2 Lidar Freeboard (m)\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a4681430-14b4-4a97-9a0a-9f3f587dfb8a", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/ICESat-2_Cloud_Access/SIR_SAR_L2_E_download_script.py b/notebooks/ICESat-2_Cloud_Access/SIR_SAR_L2_E_download_script.py new file mode 100644 index 0000000..a4d564a --- /dev/null +++ b/notebooks/ICESat-2_Cloud_Access/SIR_SAR_L2_E_download_script.py @@ -0,0 +1,63 @@ +import os +import platform +from ftplib import FTP +import sys + + +download_file_obj = None +read_byte_count = None +total_byte_count = None + + +def get_padded_count(count, max_count): + return str(count).zfill(len(str(max_count))) + + +def file_byte_handler(data): + global download_file_obj, read_byte_count, total_byte_count + download_file_obj.write(data) + read_byte_count = read_byte_count + len(data) + progress_bar(read_byte_count, total_byte_count) + + +def progress_bar(progress, total, prefix="", size=60, file=sys.stdout): + if total != 0: + x = int(size * progress / total) + x_percent = int(100 * progress / total) + file.write(f" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \r") + file.flush() + + +def download_files(user_email, esa_files): + global download_file_obj, read_byte_count, total_byte_count + print("About to connect to ESA science server") + with FTP("science-pds.cryosat.esa.int") as ftp: + try: + ftp.login("anonymous", user_email) + print("Downloading {} files".format(len(esa_files))) + + for i, filename in enumerate(esa_files): + padded_count = get_padded_count(i + 1, len(esa_files)) + print("{}/{}. Downloading file {}".format(padded_count, len(esa_files), os.path.basename(filename))) + + with open(os.path.basename(filename), 'wb') as download_file: + download_file_obj = download_file + total_byte_count = ftp.size(filename) + read_byte_count = 0 + ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024) + print("\n") + finally: + print("Exiting FTP.") + ftp.quit() + + +if __name__ == '__main__': + + esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc'] + + if int(platform.python_version_tuple()[0]) < 3: + exit("Your Python version is {}. Please use version 3.0 or higher.".format(platform.python_version())) + + email = input("Please enter your e-mail: ") + + download_files(email, esa_files) diff --git a/notebooks/ICESat-2_Cloud_Access/data/.nfs22cc8a6a7b1b488a00000001 b/notebooks/ICESat-2_Cloud_Access/data/.nfs22cc8a6a7b1b488a00000001 new file mode 100644 index 0000000000000000000000000000000000000000..0d1494f4e847e2b679f97c2fd9d2452b9b5105c7 GIT binary patch literal 493155 zcmeEP2Vhi1`k#f+LzAMQz!L!jgg^p@Cue{OnntHr!J*$NjtJ0ET5rh;fh#1zF#EXWP3_Nxg8yf6HhV?@VYA~u{X*?6lG(~MIS!<;u89N@2Wo)Y~Iopauc?aZ_u?D zo796%`U&*r2h{i1e)`Pp>Un$Smoe4}dG!({OJ^d9Xe1SNOJ^Y~f~?+-)zxRh9G|d* zPuRgHe>=uHBcskDqozbGBLJbMp$r=E@2iWV$N3XsMkB&wfG}MubcvAi0XecxU8%)8 zj^+1RBuH`DBzXN!fwh~PZ)pm-=(ypmb+G%TfeXOS5s*ivut8F`B;YTV`XGg6}(rSn-1qCN; ztHF+>n^HEBxmA!zrWzvgc=PBY3ty=!oo}H@Da0Lpk3Qu0!Rg7y#yGxRZAThfeiwvM zvs8RGYNui-jvYb4v@aLs??H77>=;92)v04NCTk+$k_q9ZO}vA+xA}Xu(owdTIn*SZ zP*E47q$;!mC*Kksqy;T@(sRJ?v(7I%#Gf9I>f|y-MTaVM>2c$k;`FKh6xk)1A~%gG 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    \n", - "" - ], - "text/plain": [ - ":Scatter [time_20_ku] (radar_freeboard_20_ku)" - ] - }, - "execution_count": 42, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "p1067" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "ds_cs2['radar_freeboard_20_ku'].hvplot(kind='scatter', s=2)" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "11476d13-0f1f-44f7-a364-4a949554d8c2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "projection = ccrs.Stereographic(central_latitude=90.,\n", - " central_longitude=-45.,\n", - " true_scale_latitude=70.)\n", - "extent = [-2500000.000, 2500000., -2500000., 2500000.000]\n", - "\n", - "\n", - "fig = plt.figure(figsize=(10,10))\n", - "ax = fig.add_subplot(projection=projection)\n", - "ax.set_extent(extent, projection)\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.LAND)\n", - "ax.gridlines(draw_labels=True)\n", - "\n", - "vmin = 0.\n", - "vmax = 1.\n", - "\n", - "# Plot Cryosat freeboard\n", - "cs2_img = ax.scatter(ds_cs2.lon_poca_20_ku, ds_cs2.lat_poca_20_ku, 5,\n", - " c=ds_cs2.radar_freeboard_20_ku, \n", - " vmin=vmin, vmax=vmax, # Set max and min values for plotting\n", - " cmap='Reds', # shading='auto' to avoid warning\n", - " transform=ccrs.PlateCarree()) # coords are lat,lon but map if NPS \n", - "\n", - "# Plot IS2 freeboard \n", - "is2_img = ax.scatter(ds_is2.longitude, ds_is2.latitude, 5,\n", - " c=ds_is2.beam_fb_height, \n", - " vmin=vmin, vmax=vmax, \n", - " cmap='Purples', \n", - " transform=ccrs.PlateCarree())\n", - "\n", - "# Add colorbars\n", - "fig.colorbar(cs2_img, label='Cryosat-2 Radar Freeboard (m)')\n", - "fig.colorbar(is2_img, label='ICESat-2 Lidar Freeboard (m)')" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "4815c13b-88c3-4d10-850e-02cf766d1844", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 1min 5s, sys: 7.63 s, total: 1min 13s\n", - "Wall time: 2min 56s\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%%time\n", - "\n", - "# NSIDC WGS84 Polar Stereographic \n", - "projection = ccrs.Stereographic(central_latitude=90.,\n", - " central_longitude=-45.,\n", - " true_scale_latitude=70.)\n", - "extent = [-2500000.000, 2500000., -2500000., 2500000.000]\n", - "\n", - "fig = plt.figure(figsize=(10,10))\n", - "ax = fig.add_subplot(projection=projection)\n", - "ax.set_extent(extent, projection)\n", - "# ax.coastlines()\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.LAND)\n", - "\n", - "ax.gridlines(draw_labels=True)\n", - "\n", - "vmin = 0.\n", - "vmax = 1.\n", - "\n", - "# Plot CryoSat-2 freeboards\n", - "for fp in downloaded_files:\n", - " ds = xr.open_dataset(path + fp)\n", - " cs2= plt.scatter(ds.lon_poca_20_ku, ds.lat_poca_20_ku, 5,\n", - " c=ds.radar_freeboard_20_ku, cmap=\"Reds\",\n", - " vmin=vmin, vmax=vmax,\n", - " transform=ccrs.PlateCarree())\n", - "\n", - "# Plot ICESat-2 freeboards\n", - "for fp in icesat2_files:\n", - " ds = xr.open_dataset(fp, group='gt2r/freeboard_segment')\n", - " is2 = plt.scatter(ds.longitude, ds.latitude, 5,\n", - " c=ds.beam_fb_height, cmap=\"Purples\",\n", - " vmin=vmin, vmax=vmax,\n", - " transform=ccrs.PlateCarree())\n", - " \n", - "fig.colorbar(cs2, label=\"CryoSat-2 Radar Freeboard (m)\")\n", - "fig.colorbar(is2, label=\"ICESat-2 Lidar Freeboard (m)\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a4681430-14b4-4a97-9a0a-9f3f587dfb8a", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/notebooks/cryo2ice/cryo2ice_utils.py b/notebooks/cryo2ice/cryo2ice_utils.py deleted file mode 100644 index 7e8d3ae..0000000 --- a/notebooks/cryo2ice/cryo2ice_utils.py +++ /dev/null @@ -1,79 +0,0 @@ -"""Utility routines to download CryoSat-2 files""" - -import os -import platform -from ftplib import FTP -import sys -from typing import Union, List - -from pathlib import Path - - -def get_padded_count(count, max_count): - return str(count).zfill(len(str(max_count))) - - -def file_byte_handler(data): - global download_file_obj, read_byte_count, total_byte_count - download_file_obj.write(data) - read_byte_count = read_byte_count + len(data) - progress_bar(read_byte_count, total_byte_count) - - -def progress_bar(progress, total, prefix="", size=60, file=sys.stdout): - if total != 0: - x = int(size * progress / total) - x_percent = int(100 * progress / total) - file.write(f" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \r") - file.flush() - - -def download_files(user_email: str, esa_files: List[str], dir: Union[str,Path]="."): - """Downloads CryoSat-2 Files from ESA ftp - - Arguments - --------- - user_email : email to use for anonymous ftp login - esa_files : list of paths to cryosat-2 files - dir : output directory path. Default is current working directory. - If dir does not exist it is created. - - Returns - ------- - list of paths to downloaded files - """ - global download_file_obj, read_byte_count, total_byte_count - - if not isinstance(dir, Path): - dir = Path(dir) - - if not dir.exists(): - if not dir.exists(): - print("Download path dir does not exist. Creating dir") - dir.mkdir(parents=True, exist_ok=True) - - print("About to connect to ESA science server") - with FTP("science-pds.cryosat.esa.int") as ftp: - try: - ftp.login("anonymous", user_email) - print("Downloading {} files".format(len(esa_files))) - - download_path_list = [] - for i, filename in enumerate(esa_files): - padded_count = get_padded_count(i + 1, len(esa_files)) - print("{}/{}. Downloading file {}".format(padded_count, len(esa_files), - os.path.basename(filename))) - - download_path = dir / os.path.basename(filename) - with open(download_path, 'wb') as download_file: - download_file_obj = download_file - total_byte_count = ftp.size(filename) - read_byte_count = 0 - ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024) - download_path_list.append(download_path) - print("\n") - finally: - print("Exiting FTP.") - ftp.quit() - - return download_path_list \ No newline at end of file diff --git a/notebooks/cryo2ice/is2cs2.ipynb b/notebooks/cryo2ice/is2cs2.ipynb deleted file mode 100644 index 0bb6a4b..0000000 --- a/notebooks/cryo2ice/is2cs2.ipynb +++ /dev/null @@ -1,1352 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.10.0\n" - ] - } - ], - "source": [ - "# For searching and accessing NASA data\n", - "import earthaccess\n", - "from cryo2ice_utils import download_files\n", - "\n", - "\n", - "# For plotting\n", - "# import hvplot.xarray\n", - "\n", - "import pprint # For nice printing of python objects\n", - "\n", - "user_email = 'andrew.barrett@colorado.edu'\n", - "\n", - "print(earthaccess.__version__)" - ] - }, - { - "cell_type": "markdown", - "id": "64cacd29-4cb6-41c0-ad58-c632c46402f4", - "metadata": {}, - "source": [ - "## Download CryoSat-2 Files\n", - "\n", - "The CryoSat-2 files are stored on an ftp server. ESA provides a download script to download files returned by a spatiotemporal search. We have put the script in a separate file `cryo2ice_utils.py` to keep the notebook clean. \n", - "\n", - "Here we will download a subset of files returned by search." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "9d375edf-328d-4bf3-a753-c317210ac6f9", - "metadata": {}, - "outputs": [], - "source": [ - "# %run -i SIR_SAR_L2_E_download_script.py" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "53b9edb5-41da-4a0b-9ec4-3242978e7fe8", - "metadata": {}, - "outputs": [], - "source": [ - "# !mv CS_LTA__SIR*.nc data" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "a7ddeb50-3d7c-4006-9914-5f421823b4f0", - "metadata": {}, - "outputs": [], - "source": [ - "esa_files = [\n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc', \n", - " 'SIR_SAR_L2/2022/02/CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc', \n", - " 'SIR_SAR_L2/2022/01/CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc', \n", - " 'SIR_SIN_L2/2022/02/CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc',\n", - "]" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "eb7200bd-caf5-41f1-99b3-e3c5b57e36d3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "About to connect to ESA science server\n", - "Downloading 9 files\n", - "1/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T035333_20220118T035805_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "2/9. Downloading file CS_OFFL_SIR_SAR_2__20220116T135100_20220116T135639_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "3/9. Downloading file CS_OFFL_SIR_SAR_2__20220128T133919_20220128T134443_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "4/9. Downloading file CS_OFFL_SIR_SAR_2__20220119T030002_20220119T030653_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "5/9. Downloading file CS_OFFL_SIR_SAR_2__20220202T124520_20220202T125222_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "6/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T053036_20220118T054012_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "7/9. Downloading file CS_OFFL_SIR_SAR_2__20220118T021149_20220118T021807_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "8/9. Downloading file CS_OFFL_SIR_SAR_2__20220123T111540_20220123T112122_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "9/9. Downloading file CS_OFFL_SIR_SIN_2__20220204T025158_20220204T025637_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "Exiting FTP.\n" - ] - } - ], - "source": [ - "downloaded_files = download_files(user_email, esa_files, dir=\"data\")" - ] - }, - { - "cell_type": "markdown", - "id": "7e2435bd-ebef-4a57-a9fb-b0f3422f09c7", - "metadata": {}, - "source": [ - "## Get ICESat-2 files" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6d8c65cf-c294-49a1-8807-9b8ef6d5dde5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "4\n" - ] - } - ], - "source": [ - "auth = earthaccess.login()\n", - "\n", - "results = earthaccess.search_data(\n", - " short_name = 'ATL10',\n", - " version = '006',\n", - " cloud_hosted = True,\n", - " bounding_box = (-17, 79, 12, 83),\n", - " temporal = ('2019-10-01','2020-04-30'),\n", - " count = 4\n", - ")\n", - "\n", - "print(len(results))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "f78cd8db-aff4-4c1b-a210-87fd2d3ec619", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ed0bc1fcdf9e432db4746e739fd5440c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "QUEUEING TASKS | : 0%| | 0/4 [00:00\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
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{}, - "output_type": "execute_result" - } - ], - "source": [ - "icesat2_files[0]\n", - "ds = xr.open_dataset(icesat2_files[3], group='gt2r/freeboard_segment')\n", - "ds" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "56d209b9-191d-4d39-b97d-a745b17ef664", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 23.3 s, sys: 3.04 s, total: 26.4 s\n", - "Wall time: 1min 7s\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "%%time\n", - "\n", - "# NSIDC WGS84 Polar Stereographic \n", - "projection = ccrs.Stereographic(central_latitude=90.,\n", - " central_longitude=-45.,\n", - " true_scale_latitude=70.)\n", - "extent = [-3850000.000, 3750000., -5350000., 5850000.000]\n", - "\n", - "fig = plt.figure(figsize=(7,7))\n", - "ax = fig.add_subplot(projection=projection)\n", - "ax.set_extent(extent, projection)\n", - "# ax.coastlines()\n", - "ax.add_feature(cfeature.OCEAN)\n", - "ax.add_feature(cfeature.LAND)\n", - "\n", - "ax.gridlines(draw_labels=True)\n", - "\n", - "vmin = 0.\n", - "vmax = 1.\n", - "\n", - "# Plot CryoSat-2 freeboards\n", - "for fp in downloaded_files:\n", - " ds = xr.open_dataset(fp)\n", - " cs2= plt.scatter(ds.lon_poca_20_ku, ds.lat_poca_20_ku, 5,\n", - " c=ds.radar_freeboard_20_ku, cmap=\"Reds\",\n", - " vmin=vmin, vmax=vmax,\n", - " transform=ccrs.PlateCarree())\n", - "\n", - "# Plot ICESat-2 freeboards\n", - "for fp in icesat2_files:\n", - " ds = xr.open_dataset(fp, group='gt2r/freeboard_segment')\n", - " is2 = plt.scatter(ds.longitude, ds.latitude, 5,\n", - " c=ds.beam_fb_height, cmap=\"Purples\",\n", - " vmin=vmin, vmax=vmax,\n", - " transform=ccrs.PlateCarree())\n", - " \n", - "fig.colorbar(cs2, label=\"CryoSat-2 Radar Freeboard (m)\")\n", - "fig.colorbar(is2, label=\"ICESat-2 Lidar Freeboard (m)\")\n", - " # ds.plot.scatter(x=\"lon_poca_20_ku\", y=\"lat_poca_20_ku\",\n", - " # hue=\"radar_freeboard_20_ku\", ax=ax,\n", - " # transform=ccrs.PlateCarree())" - ] - }, - { - "cell_type": "markdown", - "id": "63ef47a1-fb7e-4e31-83a8-fc7dde22a70e", - "metadata": {}, - "source": [ - "## Cleanup\n", - "\n", - "Remove CryoSat-2 files from data directory" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "3c0ccbf1-9d7f-4c0b-8ed2-c0ced1c8e34e", - "metadata": {}, - "outputs": [], - "source": [ - "!rm data/*.nc" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "92f33471-9dc6-4523-9cbf-14b38c98b690", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From f08d48238260aba26c8d12a4b5cd0c241a000696 Mon Sep 17 00:00:00 2001 From: asteiker Date: Thu, 19 Sep 2024 18:07:02 +0000 Subject: [PATCH 11/15] rm hidden file in data folder --- .../data/.nfs22cc8a6a7b1b488a00000001 | Bin 493155 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 notebooks/ICESat-2_Cloud_Access/data/.nfs22cc8a6a7b1b488a00000001 diff --git 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zZe0Ju>Q&K!9zZ`E2Xq_+KTP^C0Uuw3JpAm{p?bKQ$@jv?7L7V85{}5%(R>+>&pKXK zF(FYgA>aZP6e=qYgbJ{~kGmh-A2!lv|kFeuJ z@~iam$G!eU7ziy0^m}L>ho`rPy^lW0cxAA4-3V$zQ5G zpaeXezwIH({Rbf_4v`fX7nX!dNs37vV)RkcwL`i3AOUoT{2N>WJa9OR<6Uq(0&fpr dfa)FXA2Q(Ahr7(q1GvU=*t@cI0 Date: Thu, 19 Sep 2024 20:32:17 +0000 Subject: [PATCH 12/15] Updated readme with description of ICESat-2 CryoSat-2 tutorial. Edited ICESat-2-CryoSat2 notebook and edited ATL06 direct access notebook. Added full github urls to figures. --- .../ATL06-direct-access.ipynb | 23 +- .../ICESat2-CryoSat2.ipynb | 634 +----------------- notebooks/ICESat-2_Cloud_Access/README.md | 13 +- 3 files changed, 52 insertions(+), 618 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb index 5d0edb3..0ec39f6 100644 --- a/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb @@ -2,18 +2,18 @@ "cells": [ { "cell_type": "markdown", - "id": "97c67e4f-43c4-4a69-9e9b-c45c7c882830", + "id": "e0754304-7036-4530-83ec-86cec0f9886b", "metadata": { "tags": [] }, "source": [ - "
    \n", - "\n", - " \n", + "\n", + "\n", "# **Accessing and working with ICESat-2 data in the cloud**\n", - " \n", - "
    \n", - " \n", + "\n", + "\n", + "
    \n", + " \n", "\n", "## **1. Tutorial Overview**\n", "\n", @@ -44,11 +44,10 @@ "\n", "### **Prerequisites**\n", "\n", - "1. An Amazon Web Services (AWS) account. You will be accessing data in Amazon Web Services (AWS) Simple Storage Service (S3) buckets. This requires an AWS account, for details on how to set one up see [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", - "2. An EC2 instance in the us-west-2 region is set up. **NASA cloud-hosted data is in Amazon Region us-west2. So you also need an EC2 instance in the us-west-2 region.** An EC2 instance is a virtual computer that you create to perform processing operations in place of using your own desktop or laptop. Details on how to set up an instance can be found [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", - "3. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", - "4. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following [these instructions](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) (Step 1) and to use the .netrc file for authentication when required for data access during the tutorial.\n", - "5. The *nsidc-tutorials* environment is setup and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", + "1. An EC2 instance in the us-west-2 region. **NASA cloud-hosted data is in Amazon Region us-west2. So you also need an EC2 instance in the us-west-2 region.** An EC2 instance is a virtual computer that you create to perform processing operations in place of using your own desktop or laptop. Details on how to set up an instance can be found [here](https://nsidc.org/data/user-resources/help-center/nasa-earthdata-cloud-data-access-guide#anchor-1).\n", + "2. An Earthdata Login is required for data access. If you don't have one, you can register for one [here](https://urs.earthdata.nasa.gov/).\n", + "3. A .netrc file, that contains your Earthdata Login credentials, in your home directory. The current recommended practice for authentication is to create a .netrc file in your home directory following [these instructions](https://nsidc.org/support/how/how-do-i-programmatically-request-data-services) (Step 1) and to use the .netrc file for authentication when required for data access during the tutorial.\n", + "4. The *nsidc-tutorials* environment is setup and activated. This [README](https://github.com/nsidc/NSIDC-Data-Tutorials/blob/main/README.md) has setup instructions.\n", "\n", "### **Example of end product** \n", "At the end of this tutorial, the following figure will be generated:\n", diff --git a/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb b/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb index 1f9510f..7eddacf 100644 --- a/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb @@ -7,7 +7,8 @@ "source": [ "# **Plotting ICESat-2 and CryoSat-2 Freeboards**\n", "\n", - "![ICESat-2 and CryoSat-2 Freeboards](./img/icesat2-cryosat2.png)\n", + "\n", + "
    \n", "\n", "### **Credits**\n", "This notebook was created by Mikala Beig and Andy Barrett, NSIDC\n", @@ -34,11 +35,13 @@ "id": "a2db2b3c-97bf-42aa-8fd1-0eb588afa80e", "metadata": {}, "source": [ - "### Download the CryoSat-2 data to your hub instance\n", + "### **Tutorial Steps**\n", + "\n", + "#### Query for coincident ICESat-2 and CryoSat-2 data\n", "\n", "Using the cs2eo coincident data explorer, query for ATL10 and CryoSat-2, L2, SAR, POCA, Baseline E data products using a spatial and temporal filter.\n", "\n", - "Download the basic result metadata and the raw access scripts. Upload the ESA download script (SIR_SAR_L2_E_download_script.py) into the folder from which you are running this notebook.\n", + "**Download the basic result metadata and the raw access scripts.** Upload the ESA download script (SIR_SAR_L2_E_download_script.py) into the folder from which you are running this notebook.\n", "\n", "![cs2eo query](./img/ATL10_CS2_L2_SAR_query_med.png)" ] @@ -48,7 +51,7 @@ "id": "94cbed67-e58a-4579-b153-c9fcbe1e2ab4", "metadata": {}, "source": [ - "### Import Packages" + "#### Import Packages" ] }, { @@ -686,6 +689,8 @@ "id": "58c3ef53-7223-42da-afd4-e14e87caa85d", "metadata": {}, "source": [ + "#### Download CryoSat-2 data to your hub instance\n", + "\n", "Copy the list of ESA files from within SIR_SAR_L2_E_download_script.py " ] }, @@ -723,18 +728,6 @@ " 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc']" ] }, - { - "cell_type": "code", - "execution_count": 2, - "id": "f610c15e-5ad8-46d8-a7a4-1e0c2820a580", - "metadata": {}, - "outputs": [], - "source": [ - "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', \n", - " 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', \n", - " 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc']" - ] - }, { "cell_type": "markdown", "id": "eaa73f90-84f0-4429-854a-784c95afde66", @@ -772,6 +765,14 @@ "download_files(user_email, esa_files)" ] }, + { + "cell_type": "markdown", + "id": "6e9d27c7-d9d9-40ae-aab6-34888aedfe8f", + "metadata": {}, + "source": [ + "Stashing the files in a data folder to keep our notebook directory less cluttered." + ] + }, { "cell_type": "code", "execution_count": 4, @@ -787,14 +788,8 @@ "id": "aeb468e5-7a5a-456c-96cb-6808af3f5eaa", "metadata": {}, "source": [ - "### Use `earthaccess` for querying and direct S3 access of ATL10" - ] - }, - { - "cell_type": "markdown", - "id": "5d4de547-bf95-480a-898d-eb6d694f5216", - "metadata": {}, - "source": [ + "#### Use `earthaccess` for querying and direct S3 access of ATL10\n", + "\n", "First we authenticate using `earthaccess`" ] }, @@ -813,7 +808,7 @@ "id": "fb7adbf2-1148-4075-8578-91e01fbeacfc", "metadata": {}, "source": [ - "Then we use a spatial filter to search for ATL10 granules that intersect our area of interest." + "Then we use a spatial filter to search for ATL10 granules that intersect our area of interest. This is the same area we used in our cs2eo query above." ] }, { @@ -907,7 +902,7 @@ "id": "e58e1111-1b07-47ec-952b-036290346f4c", "metadata": {}, "source": [ - "We use earthaccess.open() to directly access the ATL10 files within their S3 bucket" + "We use earthaccess.open() to directly access the ATL10 files within their S3 bucket. earthaccess.open() creates a file-like object, which is required because AWS S3 uses object storage, and we need to create a virtual file system to work with the HDF5 library." ] }, { @@ -971,8 +966,7 @@ ], "source": [ "%time\n", - "icesat2_files = earthaccess.open(results) #creates a file-like object and virtual file system under the hood\n", - "#The “open” step creates a file-like object, which is required because AWS S3 uses object storage, and we need to create a virtual file system to work with the HDF5 library." + "icesat2_files = earthaccess.open(results) \n" ] }, { @@ -1542,62 +1536,28 @@ "id": "6a89c207-028f-47df-b7d9-5723bd5e836f", "metadata": {}, "source": [ - "### Open and plot downloaded CryoSat-2 data " + "#### Open and plot downloaded CryoSat-2 data \n", + "\n", + "We need a list of the downloaded CryoSat-2 files." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "60c1704a-0b17-4d4f-a7a8-dac8fe5b9701", "metadata": {}, "outputs": [], "source": [ - "downloaded_files = os.listdir(path)" + "downloaded_files = os.listdir(path)\n", + "downloaded_files" ] }, { - "cell_type": "code", - "execution_count": 12, - "id": "ab49f814-2fe4-4756-b006-96b423cdf265", + "cell_type": "markdown", + "id": "2d280de0-5de7-4a0c-9986-c94ab6b6d05a", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc',\n", - " 'CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc']" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "downloaded_files" + "We use xarray to access the contents of our netcdf file. 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Visualize the land ice heights using `hvplot`. ### [UPDATE:IS2-CS2](./UPDATE-NOTEBOOK-FILENAME.ipynb) -UPDATE: This notebook demonstrates... +This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our instance from their ftp storage lcoation and accessed locally. #### Key Learning Objectives -UPDATE -1. Objective 1 -2. Objective 2 -3. Objective 3 -4. Objective 4 +1. use `earthaccess` to search for ICESat-2 ATL10 data using a spatial filter +2. open cloud-hosted files using direct access to the ICESat-2 S3 bucket; +3. use cs2eo script to download files into your hub instance +3. load an HDF5 group into an `xarray.Dataset`; +4. visualize freeboards using `hvplot`. +5. map the locations of ICESat-2 and CryoSat-2 freeboards using `cartopy` ### [Processing Large-scale Time Series of ICESat-2 Sea Ice Height in the Cloud](./ATL10-h5coro_rendered.ipynb) This notebook utilizes several libraries to performantly search, access, read, and grid ATL10 data over the Ross Sea, Antarctica including `earthaccess`, `h5coro`, and `geopandas`. The notebook provides further guidance on how to scale this analysis to the entire continent, running the same workflow from a script that can be run from your laptop using [Coiled](https://www.coiled.io/). From c9aa3d807646c2e5798960560675478d58b6adfb Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Thu, 19 Sep 2024 23:02:10 +0000 Subject: [PATCH 13/15] Edited the readme in the root folder, and finished updating the readme in the cloud access folder --- README.md | 4 ++-- notebooks/ICESat-2_Cloud_Access/README.md | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 73579ef..2c85749 100644 --- a/README.md +++ b/README.md @@ -19,9 +19,9 @@ These notebooks demonstrate how to search and access ICESat-2 from the NASA Eart Originally presented to the UWG (User Working Group) in May 2022, this tutorial demonstrates how to search for ICESat-2 data hosted in the Earthdata Cloud and how to directly access it from an Amazon Web Services (AWS) Elastic Compute Cloud (EC2) instance using the `earthaccess` package. -**UPDATE: IS2-CS2 NOTEBOOK TITLE** +**Plotting ICESat-2 and CryoSat-2 Freeboards** -UPDATE: Description +This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our instance from their ftp storage lcoation and accessed locally. **Processing Large-scale Time Series of ICESat-2 Sea Ice Height in the Cloud** diff --git a/notebooks/ICESat-2_Cloud_Access/README.md b/notebooks/ICESat-2_Cloud_Access/README.md index 0979493..1e878f2 100644 --- a/notebooks/ICESat-2_Cloud_Access/README.md +++ b/notebooks/ICESat-2_Cloud_Access/README.md @@ -12,7 +12,7 @@ This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly 3. Load a HDF5 group into an `xarray.Dataset`; 4. Visualize the land ice heights using `hvplot`. -### [UPDATE:IS2-CS2](./UPDATE-NOTEBOOK-FILENAME.ipynb) +### [Plotting ICESat-2 and CryoSat-2 Freeboards](./ICESat2-CryoSat2.ipynb) This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our instance from their ftp storage lcoation and accessed locally. #### Key Learning Objectives From 4c7a6206a07e5f9efa43cc73773b5d8be97527c0 Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Thu, 19 Sep 2024 23:06:37 +0000 Subject: [PATCH 14/15] minor readme edit --- README.md | 2 +- notebooks/ICESat-2_Cloud_Access/README.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2c85749..11ef2fc 100644 --- a/README.md +++ b/README.md @@ -21,7 +21,7 @@ Originally presented to the UWG (User Working Group) in May 2022, this tutorial **Plotting ICESat-2 and CryoSat-2 Freeboards** -This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our instance from their ftp storage lcoation and accessed locally. +This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our cloud instance from their ftp storage lcoation and accessed locally. **Processing Large-scale Time Series of ICESat-2 Sea Ice Height in the Cloud** diff --git a/notebooks/ICESat-2_Cloud_Access/README.md b/notebooks/ICESat-2_Cloud_Access/README.md index 1e878f2..b77b3fd 100644 --- a/notebooks/ICESat-2_Cloud_Access/README.md +++ b/notebooks/ICESat-2_Cloud_Access/README.md @@ -13,7 +13,7 @@ This notebook demonstrates searching for cloud-hosted ICESat-2 data and directly 4. Visualize the land ice heights using `hvplot`. ### [Plotting ICESat-2 and CryoSat-2 Freeboards](./ICESat2-CryoSat2.ipynb) -This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our instance from their ftp storage lcoation and accessed locally. +This notebook demonstrates plotting ICESat-2 and CryoSat-2 data in the same map from within an AWS ec2 instance. ICESat-2 data are accessed via "direct S3 access" using `earthaccess`. CryoSat-2 data are downloaded to our cloud instance from their ftp storage lcoation and accessed locally. #### Key Learning Objectives 1. use `earthaccess` to search for ICESat-2 ATL10 data using a spatial filter From 528dde2a749810c30100677c52a044554fc055cd Mon Sep 17 00:00:00 2001 From: mikala-nsidc Date: Fri, 20 Sep 2024 16:08:49 +0000 Subject: [PATCH 15/15] cleared cell output --- .../ICESat2-CryoSat2.ipynb | 1402 +---------------- 1 file changed, 22 insertions(+), 1380 deletions(-) diff --git a/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb b/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb index 7eddacf..b08d9b3 100644 --- a/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb +++ b/notebooks/ICESat-2_Cloud_Access/ICESat2-CryoSat2.ipynb @@ -56,604 +56,10 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "e911afb1-b247-4412-9342-1e8865b3084e", "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - 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handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n 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    \n", - "" - ], - "text/plain": [ - ":Scatter [time_20_ku] (radar_freeboard_20_ku)" - ] - }, - "execution_count": 15, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "p1067" - } - }, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ds_cs2['radar_freeboard_20_ku'].hvplot(kind='scatter', s=2)" ] @@ -1687,31 +350,10 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "id": "11476d13-0f1f-44f7-a364-4a949554d8c2", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "projection = ccrs.Stereographic(central_latitude=90.,\n", " central_longitude=-45.,\n",

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-read_byte_count = None -total_byte_count = None - - -def get_padded_count(count, max_count): - return str(count).zfill(len(str(max_count))) - - -def file_byte_handler(data): - global download_file_obj, read_byte_count, total_byte_count - download_file_obj.write(data) - read_byte_count = read_byte_count + len(data) - progress_bar(read_byte_count, total_byte_count) - - -def progress_bar(progress, total, prefix="", size=60, file=sys.stdout): - if total != 0: - x = int(size * progress / total) - x_percent = int(100 * progress / total) - file.write(f" {prefix} [{'='*x}{' '*(size-x)}] {x_percent} % \r") - file.flush() - - -def download_files(user_email, esa_files): - global download_file_obj, read_byte_count, total_byte_count - print("About to connect to ESA science server") - with FTP("science-pds.cryosat.esa.int") as ftp: - try: - ftp.login("anonymous", user_email) - print("Downloading {} files".format(len(esa_files))) - - for i, filename in enumerate(esa_files): - padded_count = get_padded_count(i + 1, len(esa_files)) - print("{}/{}. Downloading file {}".format(padded_count, len(esa_files), os.path.basename(filename))) - - with open(os.path.basename(filename), 'wb') as download_file: - download_file_obj = download_file - total_byte_count = ftp.size(filename) - read_byte_count = 0 - ftp.retrbinary('RETR ' + filename, file_byte_handler, 1024) - print("\n") - finally: - print("Exiting FTP.") - ftp.quit() - - -if __name__ == '__main__': - - esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc'] - - if int(platform.python_version_tuple()[0]) < 3: - exit("Your Python version is {}. Please use version 3.0 or higher.".format(platform.python_version())) - - email = input("Please enter your e-mail: ") - - download_files(email, esa_files) diff --git a/notebooks/cryo2ice/cartopy_practice.ipynb b/notebooks/cryo2ice/cartopy_practice.ipynb deleted file mode 100644 index 24913ba..0000000 --- a/notebooks/cryo2ice/cartopy_practice.ipynb +++ /dev/null @@ -1,1737 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 47, - "id": "e2e0577a-c36e-4ec7-a857-673a0cb1007e", - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import platform\n", - "from ftplib import FTP\n", - "import sys\n", - "\n", - "\n", - "# For searching and accessing NASA data\n", - "import earthaccess\n", - "\n", - "# For reading data, analysis and plotting\n", - "import xarray as xr\n", - "import hvplot.xarray\n", - "\n", - "# For nice printing of python objects\n", - "import pprint \n", - "\n", - "# For plotting\n", - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cfeature\n", - "\n", - "#downloading files using cs2eo script\n", - "from SIR_SAR_L2_E_download_script import download_files\n", - "user_email = 'mikala.beig@colorado.edu'\n", - "path = './data/'" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "bd2e49a5-0ba8-4ab5-acfc-7fa29d55cb10", - "metadata": {}, - "outputs": [], - "source": [ - "esa_files = ['SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc', 'SIR_SAR_L2/2019/12/CS_LTA__SIR_SAR_2__20191216T215645_20191216T220909_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200315T065755_20200315T071241_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191030T135252_20191030T135600_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200219T081800_20200219T083303_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200110T203717_20200110T204612_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200409T053748_20200409T054151_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200413T053254_20200413T053659_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200208T191154_20200208T192117_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200319T065300_20200319T070802_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200304T175209_20200304T180102_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191128T122800_20191128T123212_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191009T150801_20191009T151142_E001.nc', 'SIR_SAR_L2/2019/11/CS_LTA__SIR_SAR_2__20191121T231659_20191121T232817_E001.nc', 'SIR_SAR_L2/2020/02/CS_LTA__SIR_SAR_2__20200215T082253_20200215T083741_E001.nc', 'SIR_SAR_L2/2020/01/CS_LTA__SIR_SAR_2__20200121T094259_20200121T095800_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191005T151255_20191005T151621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200427T150701_20200427T151544_E001.nc', 'SIR_SAR_L2/2019/10/CS_LTA__SIR_SAR_2__20191024T004201_20191024T005059_E001.nc', 'SIR_SAR_L2/2020/03/CS_LTA__SIR_SAR_2__20200308T174708_20200308T175621_E001.nc', 'SIR_SAR_L2/2020/04/CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc']" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "ecef7122-b3d5-4ca0-b207-7ad3c35ca34d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "About to connect to ESA science server\n", - "Downloading 25 files\n", - "01/25. Downloading file CS_LTA__SIR_SAR_2__20191227T110305_20191227T111751_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "02/25. Downloading file CS_LTA__SIR_SAR_2__20200329T163208_20200329T164044_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "03/25. Downloading file CS_LTA__SIR_SAR_2__20200114T203033_20200114T204440_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "04/25. Downloading file CS_LTA__SIR_SAR_2__20191103T134759_20191103T135125_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "05/25. Downloading file CS_LTA__SIR_SAR_2__20200204T191657_20200204T192558_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "06/25. 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Downloading file CS_LTA__SIR_SAR_2__20200402T162707_20200402T163602_E001.nc\n", - " [============================================================] 100 % \n", - "\n", - "Exiting FTP.\n" - ] - } - ], - "source": [ - "downloaded_files = download_files(user_email, esa_files)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "2f6c0779-77cc-4d60-a7a6-cb4a0ce1ea25", - "metadata": {}, - "outputs": [], - "source": [ - "!mv CS_LTA__SIR*.nc data" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "2165876a-c5fa-4df9-b7f5-c82f01e7bdba", - "metadata": {}, - "outputs": [], - "source": [ - "auth = earthaccess.login()" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "37139d13-43e4-4563-b436-2879c76677ec", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Granules found: 665\n" - ] - } - ], - "source": [ - "results = earthaccess.search_data(\n", - " short_name = 'ATL10',\n", - " version = '006',\n", - " cloud_hosted = True,\n", - " bounding_box = (-17, 79, 12, 83),\n", - " temporal = ('2019-10-01','2020-04-30'),\n", - " count = 10\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "392c29a8-82b0-4fa5-a936-432f2ebe480e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'0.9.0'" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "earthaccess.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "b883fc7f-1c26-471c-88c4-664fa59bed16", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "

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