diff --git a/opencharts/medium-10m-probability.ipynb b/opencharts/medium-10m-probability.ipynb index 33efd5b..bc17ada 100644 --- a/opencharts/medium-10m-probability.ipynb +++ b/opencharts/medium-10m-probability.ipynb @@ -129,7 +129,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-10ws-mean-spread.ipynb b/opencharts/medium-10ws-mean-spread.ipynb index c76aafe..bb3aa52 100644 --- a/opencharts/medium-10ws-mean-spread.ipynb +++ b/opencharts/medium-10ws-mean-spread.ipynb @@ -128,7 +128,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-2t-dp.ipynb b/opencharts/medium-2t-dp.ipynb index b1b8dc7..6b0d2d7 100644 --- a/opencharts/medium-2t-dp.ipynb +++ b/opencharts/medium-2t-dp.ipynb @@ -1,567 +1,573 @@ { - "cells": [ - { - "cell_type": "markdown", - "id": "medieval-concert", - "metadata": {}, - "source": [ - "
\n", - "\n", - "
\n", - "\n", - "# \t2m dew point temperature" - ] - }, - { - "cell_type": "markdown", - "id": "5d3b71e2-d22d-4fa3-9626-a106922a189c", - "metadata": {}, - "source": [ - "This notebook will provide you guidance how to explore and plot ECMWF dataset to produce the map from the ECMWF open charts web product. \n", - "The original product can be found on this link: https://charts.ecmwf.int/products/medium-2t-dp \n" - ] - }, - { - "cell_type": "markdown", - "id": "continental-optics", - "metadata": {}, - "source": [ - "
\n", - "
\n", - "
\n", - "
" - ] - }, - { - "cell_type": "markdown", - "id": "dfcf6b01-72e4-43f6-9570-a57c25f6d83c", - "metadata": {}, - "source": [ - "The full list of available Open data products can be found [here](https://www.ecmwf.int/en/forecasts/datasets/open-data), and more information can be found in the [User documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS). \n", - "\n", - "Access to ECMWF Open data is governed by the Creative Commons CC-BY-4.0 licence and associated [Terms of Use](https://apps.ecmwf.int/datasets/licences/general/). \n", - "\n", - " In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction \n", - "\n", - "To find out how to obtain the access to the full forecast dataset at higher resolution please visit our [Access page](https://www.ecmwf.int/en/forecasts/accessing-forecasts)." - ] - }, - { - "cell_type": "markdown", - "id": "stock-appraisal", - "metadata": {}, - "source": [ - "## Retrieve Data\n", - "This product takes in input parameter:\n", - "\n", - "* [2 metre dewpoint temperature](https://codes.ecmwf.int/grib/param-db/168)" - ] - }, - { - "cell_type": "markdown", - "id": "abcc91ae-b54a-41b8-8795-322045779bd6", - "metadata": {}, - "source": [ - "In this example, we will use: \n", - "- [**ecmwf.opendata**](https://github.com/ecmwf/ecmwf-opendata) Client to download the data\n", - "- [**Metview**](https://metview.readthedocs.io/en/latest/) library to read, process and plot the data " - ] - }, - { - "cell_type": "markdown", - "id": "plastic-copyright", - "metadata": {}, - "source": [ - "First we need to install them in the current Jupyter kernel: \n", - "
\n", - "Note: If you are running the notebook on MyBinder or already have the libraries installed, go directly to importing the libraries.\n", - "
\n", - "
\n", - "Note: If you don't have these libraries installed, click on three dots below, uncomment the code and run the next cell.\n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "f10637a6-d1bb-4dfb-8b34-0531d35fcd3c", - "metadata": { - "jupyter": { - "source_hidden": true - }, - "tags": [ - "install" - ] - }, - "outputs": [], - "source": [ - "#!pip install ecmwf-opendata metview metview-python" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "sexual-portal", - "metadata": { - "tags": [ - "import" - ] - }, - "outputs": [], - "source": [ - "import metview as mv\n", - "from ecmwf.opendata import Client" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "eefad31e", - "metadata": {}, - "outputs": [], - "source": [ - "client = Client(\"ecmwf\", beta=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "internal-blair", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'medium-2t-dp.grib'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "parameters = ['2d']\n", - "filename = \"medium-2t-dp.grib\"\n", - "filename" - ] - }, - { - "cell_type": "markdown", - "id": "3995ea9e-ca91-4799-ba08-4b8c96d5428e", - "metadata": {}, - "source": [ - "Setting date to 0 will download today's data. \n", - "Removing date and time altogether from the request will download the latest data. \n", - "Try commenting out date and time to download latest forecast!" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f5a34228", - "metadata": { - "tags": [ - "download" - ] - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "20241231000000-12h-oper-fc.grib2: 0%| | 0.00/661k [00:00" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "client.retrieve(\n", - " date=0,\n", - " time=0,\n", - " step=12,\n", - " stream=\"oper\",\n", - " type=\"fc\",\n", - " levtype=\"sfc\",\n", - " param=parameters,\n", - " target=filename\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "compound-lesbian", - "metadata": {}, - "source": [ - "## Reading and processing the data\n", - "Now we can use **Metview's read() function** to read the file." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "maritime-chicken", - "metadata": {}, - "outputs": [], - "source": [ - "data = mv.read(filename)" - ] - }, - { - "cell_type": "markdown", - "id": "senior-visitor", - "metadata": {}, - "source": [ - "The **describe()** function will give us the overview of the dataset. " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "robust-helmet", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - " \n", - " \n", - " \n", - " \n", - "
parametertypeOfLevelleveldatetimestepnumberparamIdclassstreamtypeexperimentVersionNumber
2dheightAboveGround220241231012None168odoperfc0001
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.describe()" - ] - }, - { - "cell_type": "markdown", - "id": "stopped-awareness", - "metadata": {}, - "source": [ - "And an overview of one parameter, where we can see more information, such as units or type of level." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "contained-reproduction", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - " \n", - " \n", - " \n", - " \n", - "
shortName2d
name2 metre dewpoint temperature
paramId168
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typeOfLevelheightAboveGround
level2
date20241231
time0
step12
numberNone
classod
streamoper
typefc
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" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.describe('2d')" - ] - }, - { - "cell_type": "markdown", - "id": "differential-enzyme", - "metadata": {}, - "source": [ - "We can use **ls()** function to list all the fields in the file we downloaded." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "jewish-disclosure", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
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0ecmf2dheightAboveGround220241231012fcNoneregular_ll
\n", - "
" - ], - "text/plain": [ - " centre shortName typeOfLevel level dataDate dataTime \\\n", - "Message \n", - "0 ecmf 2d heightAboveGround 2 20241231 0 \n", - "\n", - " stepRange dataType number gridType \n", - "Message \n", - "0 12 fc None regular_ll " - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.ls()" - ] - }, - { - "cell_type": "markdown", - "id": "declared-world", - "metadata": {}, - "source": [ - "Our data is in Kelvins, and in order to match the plot in ECMWF open charts we need to convert to Celsius." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "alert-reviewer", - "metadata": {}, - "outputs": [], - "source": [ - "data = data - 273.15" - ] - }, - { - "cell_type": "markdown", - "id": "following-scotland", - "metadata": {}, - "source": [ - "## Plotting the data\n", - "And finally, we can plot the data on the map. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "sublime-basin", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# define coastlines\n", - "coast = mv.mcoast(\n", - " map_coastline_colour=\"charcoal\",\n", - " map_coastline_resolution=\"medium\",\n", - " map_coastline_land_shade=\"off\",\n", - " map_coastline_sea_shade=\"off\",\n", - " map_boundaries=\"on\",\n", - " map_boundaries_colour= \"charcoal\",\n", - " map_boundaries_thickness = 1,\n", - " map_disputed_boundaries = \"off\",\n", - " map_grid_colour=\"tan\",\n", - " map_label_height=0.35,\n", - ")\n", - "\n", - "# define view\n", - "view = mv.geoview(\n", - " area_mode=\"name\",\n", - " area_name=\"europe\",\n", - " coastlines=coast\n", - ")\n", - "\n", - "#define styles\n", - "data_shade = mv.mcont(legend= \"on\",\n", - " contour_automatics_settings = \"style_name\",\n", - " contour_style_name = \"sh_all_fM80t56i4\")\n", - "\n", - "title = mv.mtext(\n", - " text_lines=[\"2m dew point temperature\", \n", - " \"START TIME: \",\n", - " \"VALID TIME: , STEP: \"],\n", - " text_font_size=0.4,\n", - " text_colour = 'charcoal')\n", - "\n", - "ecmwf_text = mv.mtext( \n", - " text_lines = [\"© European Centre for Medium-Range Weather Forecasts (ECMWF)\",\n", - " \"Source: www.ecmwf.int Licence: CC-BY-4.0 and ECMWF Terms of Use\",\n", - " \"https://apps.ecmwf.int/datasets/licences/general/\"],\n", - " text_justification = 'center',\n", - " text_font_size = 0.3,\n", - " text_mode = \"positional\",\n", - " text_box_x_position = 6.,\n", - " text_box_y_position = -0.2,\n", - " text_box_x_length = 8,\n", - " text_box_y_length = 2,\n", - " text_colour = 'charcoal')\n", - "\n", - "# generate plot\n", - "mv.setoutput('jupyter', plot_widget=False)\n", - "mv.plot(view, data, data_shade, title, ecmwf_text)" - ] - }, - { - "cell_type": "markdown", - "id": "0813538b-be17-49c8-a6b0-c70634d6114d", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [ - "libraries" - ] - }, - "source": [ - "To generate the png file you can run the following cell." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "961a379f-c8cd-4313-9169-48692f483c39", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [ - "png" - ] - }, - "outputs": [], - "source": [ - "png = mv.png_output(\n", - " output_name = \"medium-2t-dp\", # specify relative or full path\n", - " output_title = \"medium-2t-dp\", # title used by a viewer\n", - " output_width = 1000, # set width in pixels\n", - ")\n", - "mv.setoutput(png)\n", - "mv.plot(view, data, data_shade, title, ecmwf_text)" - ] - }, - { - "cell_type": "markdown", - "id": "3eb3188b-a2eb-4518-8bb9-0607e2e9193d", - "metadata": {}, - "source": [ - "Note that plot produced using this dataset will slightly differ from one from Open Charts. This is due to different resolution of the data. \n", - "The data used here is on 0.25x0.25 resolution, while high resolution data is 0.1x0.1 grid." - ] - } - ], - "metadata": { - "author": "Milana Vuckovic, ECMWF", - "content_type": "Software & code", - "data_access": "ecmwf-opendata", - "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" - }, - "licence": "Apache-2.0 " + "cells": [ + { + "cell_type": "markdown", + "id": "medieval-concert", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" }, - "nbformat": 4, - "nbformat_minor": 5 -} \ No newline at end of file + "tags": [] + }, + "source": [ + "
\n", + "\n", + "
\n", + "\n", + "# \t2m dew point temperature" + ] + }, + { + "cell_type": "markdown", + "id": "5d3b71e2-d22d-4fa3-9626-a106922a189c", + "metadata": {}, + "source": [ + "This notebook will provide you guidance how to explore and plot ECMWF dataset to produce the map from the ECMWF open charts web product. \n", + "The original product can be found on this link: https://charts.ecmwf.int/products/medium-2t-dp \n" + ] + }, + { + "cell_type": "markdown", + "id": "continental-optics", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "dfcf6b01-72e4-43f6-9570-a57c25f6d83c", + "metadata": {}, + "source": [ + "The full list of available Open data products can be found [here](https://www.ecmwf.int/en/forecasts/datasets/open-data), and more information can be found in the [User documentation](https://confluence.ecmwf.int/display/DAC/ECMWF+open+data%3A+real-time+forecasts+from+IFS+and+AIFS). \n", + "\n", + "Access to ECMWF Open data is governed by the Creative Commons CC-BY-4.0 licence and associated [Terms of Use](https://apps.ecmwf.int/datasets/licences/general/). \n", + "\n", + " In applying this licence, ECMWF does not waive the privileges and immunities granted to it by virtue of its status as an intergovernmental organisation nor does it submit to any jurisdiction \n", + "\n", + "To find out how to obtain the access to the full forecast dataset at higher resolution please visit our [Access page](https://www.ecmwf.int/en/forecasts/accessing-forecasts)." + ] + }, + { + "cell_type": "markdown", + "id": "stock-appraisal", + "metadata": {}, + "source": [ + "## Retrieve Data\n", + "This product takes in input parameter:\n", + "\n", + "* [2 metre dewpoint temperature](https://codes.ecmwf.int/grib/param-db/168)" + ] + }, + { + "cell_type": "markdown", + "id": "abcc91ae-b54a-41b8-8795-322045779bd6", + "metadata": {}, + "source": [ + "In this example, we will use: \n", + "- [**ecmwf.opendata**](https://github.com/ecmwf/ecmwf-opendata) Client to download the data\n", + "- [**Metview**](https://metview.readthedocs.io/en/latest/) library to read, process and plot the data " + ] + }, + { + "cell_type": "markdown", + "id": "plastic-copyright", + "metadata": {}, + "source": [ + "First we need to install them in the current Jupyter kernel: \n", + "
\n", + "Note: If you are running the notebook on MyBinder or already have the libraries installed, go directly to importing the libraries.\n", + "
\n", + "
\n", + "Note: If you don't have these libraries installed, click on three dots below, uncomment the code and run the next cell.\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f10637a6-d1bb-4dfb-8b34-0531d35fcd3c", + "metadata": { + "jupyter": { + "source_hidden": true + }, + "tags": [ + "install" + ] + }, + "outputs": [], + "source": [ + "#!pip install ecmwf-opendata metview metview-python" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "sexual-portal", + "metadata": { + "tags": [ + "import" + ] + }, + "outputs": [], + "source": [ + "import metview as mv\n", + "from ecmwf.opendata import Client" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "eefad31e", + "metadata": {}, + "outputs": [], + "source": [ + "client = Client(\"ecmwf\", beta=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "internal-blair", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'medium-2t-dp.grib'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "parameters = ['2d']\n", + "filename = \"medium-2t-dp.grib\"\n", + "filename" + ] + }, + { + "cell_type": "markdown", + "id": "3995ea9e-ca91-4799-ba08-4b8c96d5428e", + "metadata": {}, + "source": [ + "Setting date to 0 will download today's data. \n", + "Removing date and time altogether from the request will download the latest data. \n", + "Try commenting out date and time to download latest forecast!" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "f5a34228", + "metadata": { + "tags": [ + "download" + ] + }, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "20250225060000-12h-scda-fc.grib2: 0%| | 0.00/671k [00:00" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "client.retrieve(\n", + " date=-1,\n", + " time=6,\n", + " step=12,\n", + " stream=\"scda\",\n", + " type=\"fc\",\n", + " levtype=\"sfc\",\n", + " param=parameters,\n", + " target=filename\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "compound-lesbian", + "metadata": {}, + "source": [ + "## Reading and processing the data\n", + "Now we can use **Metview's read() function** to read the file." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "maritime-chicken", + "metadata": {}, + "outputs": [], + "source": [ + "data = mv.read(filename)" + ] + }, + { + "cell_type": "markdown", + "id": "senior-visitor", + "metadata": {}, + "source": [ + "The **describe()** function will give us the overview of the dataset. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "robust-helmet", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " \n", + " \n", + " \n", + "
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" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "stopped-awareness", + "metadata": {}, + "source": [ + "And an overview of one parameter, where we can see more information, such as units or type of level." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "contained-reproduction", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + " \n", + " \n", + " \n", + " \n", + "
shortName2d
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" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.describe('2d')" + ] + }, + { + "cell_type": "markdown", + "id": "differential-enzyme", + "metadata": {}, + "source": [ + "We can use **ls()** function to list all the fields in the file we downloaded." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "jewish-disclosure", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " centre shortName typeOfLevel level dataDate dataTime \\\n", + "Message \n", + "0 ecmf 2d heightAboveGround 2 20250225 600 \n", + "\n", + " stepRange dataType number gridType \n", + "Message \n", + "0 12 fc None regular_ll " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.ls()" + ] + }, + { + "cell_type": "markdown", + "id": "declared-world", + "metadata": {}, + "source": [ + "Our data is in Kelvins, and in order to match the plot in ECMWF open charts we need to convert to Celsius." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "alert-reviewer", + "metadata": {}, + "outputs": [], + "source": [ + "data = data - 273.15" + ] + }, + { + "cell_type": "markdown", + "id": "following-scotland", + "metadata": {}, + "source": [ + "## Plotting the data\n", + "And finally, we can plot the data on the map. " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "sublime-basin", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# define coastlines\n", + "coast = mv.mcoast(\n", + " map_coastline_colour=\"charcoal\",\n", + " map_coastline_resolution=\"medium\",\n", + " map_coastline_land_shade=\"off\",\n", + " map_coastline_sea_shade=\"off\",\n", + " map_boundaries=\"on\",\n", + " map_boundaries_colour= \"charcoal\",\n", + " map_boundaries_thickness = 1,\n", + " map_disputed_boundaries = \"off\",\n", + " map_grid_colour=\"tan\",\n", + " map_label_height=0.35,\n", + ")\n", + "\n", + "# define view\n", + "view = mv.geoview(\n", + " area_mode=\"name\",\n", + " area_name=\"europe\",\n", + " coastlines=coast\n", + ")\n", + "\n", + "#define styles\n", + "data_shade = mv.mcont(legend= \"on\",\n", + " contour_automatics_settings = \"style_name\",\n", + " contour_style_name = \"sh_all_fM80t56i4\")\n", + "\n", + "title = mv.mtext(\n", + " text_lines=[\"2m dew point temperature\", \n", + " \"START TIME: \",\n", + " \"VALID TIME: , STEP: \"],\n", + " text_font_size=0.4,\n", + " text_colour = 'charcoal')\n", + "\n", + "ecmwf_text = mv.mtext( \n", + " text_lines = [\"© European Centre for Medium-Range Weather Forecasts (ECMWF)\",\n", + " \"Source: www.ecmwf.int Licence: CC-BY-4.0 and ECMWF Terms of Use\",\n", + " \"https://apps.ecmwf.int/datasets/licences/general/\"],\n", + " text_justification = 'center',\n", + " text_font_size = 0.3,\n", + " text_mode = \"positional\",\n", + " text_box_x_position = 6.,\n", + " text_box_y_position = -0.2,\n", + " text_box_x_length = 8,\n", + " text_box_y_length = 2,\n", + " text_colour = 'charcoal')\n", + "\n", + "# generate plot\n", + "mv.setoutput('jupyter', plot_widget=False)\n", + "mv.plot(view, data, data_shade, title, ecmwf_text)" + ] + }, + { + "cell_type": "markdown", + "id": "0813538b-be17-49c8-a6b0-c70634d6114d", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "libraries" + ] + }, + "source": [ + "To generate the png file you can run the following cell." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "961a379f-c8cd-4313-9169-48692f483c39", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [ + "png" + ] + }, + "outputs": [], + "source": [ + "png = mv.png_output(\n", + " output_name = \"medium-2t-dp\", # specify relative or full path\n", + " output_title = \"medium-2t-dp\", # title used by a viewer\n", + " output_width = 1000, # set width in pixels\n", + ")\n", + "mv.setoutput(png)\n", + "mv.plot(view, data, data_shade, title, ecmwf_text)" + ] + }, + { + "cell_type": "markdown", + "id": "3eb3188b-a2eb-4518-8bb9-0607e2e9193d", + "metadata": {}, + "source": [ + "Note that plot produced using this dataset will slightly differ from one from Open Charts. This is due to different resolution of the data. \n", + "The data used here is on 0.25x0.25 resolution, while high resolution data is 0.1x0.1 grid." + ] + } + ], + "metadata": { + "author": "Milana Vuckovic, ECMWF", + "content_type": "Software & code", + "data_access": "ecmwf-opendata", + "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" + }, + "licence": "Apache-2.0 " + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/opencharts/medium-2t-long-probability.ipynb b/opencharts/medium-2t-long-probability.ipynb index 67bb859..0588508 100644 --- a/opencharts/medium-2t-long-probability.ipynb +++ b/opencharts/medium-2t-long-probability.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-2t-mean-spread.ipynb b/opencharts/medium-2t-mean-spread.ipynb index 87e3b74..2e38803 100644 --- a/opencharts/medium-2t-mean-spread.ipynb +++ b/opencharts/medium-2t-mean-spread.ipynb @@ -128,7 +128,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-2t-probability.ipynb b/opencharts/medium-2t-probability.ipynb index f171b1a..61f5979 100644 --- a/opencharts/medium-2t-probability.ipynb +++ b/opencharts/medium-2t-probability.ipynb @@ -140,7 +140,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-2t-wind.ipynb b/opencharts/medium-2t-wind.ipynb index 1b77aa7..f716e1b 100644 --- a/opencharts/medium-2t-wind.ipynb +++ b/opencharts/medium-2t-wind.ipynb @@ -136,7 +136,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-bulk-shear.ipynb b/opencharts/medium-bulk-shear.ipynb index 5cb3e8a..81a9480 100644 --- a/opencharts/medium-bulk-shear.ipynb +++ b/opencharts/medium-bulk-shear.ipynb @@ -128,7 +128,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-divergence.ipynb b/opencharts/medium-divergence.ipynb index 84fc4e6..b4fdbb9 100644 --- a/opencharts/medium-divergence.ipynb +++ b/opencharts/medium-divergence.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-ens-tp-2t.ipynb b/opencharts/medium-ens-tp-2t.ipynb index edb2092..9485978 100644 --- a/opencharts/medium-ens-tp-2t.ipynb +++ b/opencharts/medium-ens-tp-2t.ipynb @@ -130,7 +130,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-ens-tp-ws.ipynb b/opencharts/medium-ens-tp-ws.ipynb index 0f28e38..5a87159 100644 --- a/opencharts/medium-ens-tp-ws.ipynb +++ b/opencharts/medium-ens-tp-ws.ipynb @@ -126,7 +126,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { @@ -181,7 +181,7 @@ "version_minor": 0 }, "text/plain": [ - ": 0%| | 0.00/245M [00:00: 0%| | 0.00/238M [00:00" + "" ] }, "execution_count": 4, @@ -250,7 +250,7 @@ " \n", " \n", " \n", - " \n", + " \n", "
parametertypeOfLevelleveldatetimestepnumberparamIdclassstreamtypeexperimentVersionNumber
10uheightAboveGround1020250108021,240,1,...165odenfocf,pf0001
10vheightAboveGround1020250108021,240,1,...166odenfocf,pf0001
tpsurface020250108021,240,1,...228odenfocf,pf0001
10uheightAboveGround1020250226021,240,1,...165odenfocf,pf0001
10vheightAboveGround1020250226021,240,1,...166odenfocf,pf0001
tpsurface020250226021,240,1,...228odenfocf,pf0001
" ], "text/plain": [ @@ -286,7 +286,7 @@ " \n", " \n", " \n", - " \n", + " \n", "
shortNametp
nameTotal precipitation
paramId228
unitsm
typeOfLevelsurface
level0
date20250108
time0
step21,24
number0,1,10,11,12,13,14,15,16,17,18,19,2,20,21,22,23,24,25,26,27,28,29,3,30,31,32,33,34,35,36,37,38,39,4,40,41,42,43,44,45,46,47,48,49,5,50,6,7,8,9
classod
streamenfo
typecf,pf
experimentVersionNumber0001
shortNametp
nameTotal precipitation
paramId228
unitsm
typeOfLevelsurface
level0
date20250226
time0
step21,24
number0,1,10,11,12,13,14,15,16,17,18,19,2,20,21,22,23,24,25,26,27,28,29,3,30,31,32,33,34,35,36,37,38,39,4,40,41,42,43,44,45,46,47,48,49,5,50,6,7,8,9
classod
streamenfo
typecf,pf
experimentVersionNumber0001
" ], "text/plain": [ @@ -369,53 +369,53 @@ " \n", " 0\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 14\n", + " 35\n", " regular_ll\n", " \n", " \n", " 1\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 23\n", + " 36\n", " regular_ll\n", " \n", " \n", " 2\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 50\n", + " 21\n", " regular_ll\n", " \n", " \n", " 3\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 6\n", + " 18\n", " regular_ll\n", " \n", " \n", @@ -424,24 +424,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 33\n", + " 20\n", " regular_ll\n", " \n", " \n", " 5\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 32\n", + " 39\n", " regular_ll\n", " \n", " \n", @@ -450,11 +450,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 23\n", + " 4\n", " regular_ll\n", " \n", " \n", @@ -463,37 +463,37 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 42\n", + " 17\n", " regular_ll\n", " \n", " \n", " 8\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 50\n", + " 28\n", " regular_ll\n", " \n", " \n", " 9\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 41\n", + " 24\n", " regular_ll\n", " \n", " \n", @@ -502,11 +502,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 32\n", + " 25\n", " regular_ll\n", " \n", " \n", @@ -515,50 +515,50 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 15\n", + " 31\n", " regular_ll\n", " \n", " \n", " 12\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 24\n", + " 32\n", " regular_ll\n", " \n", " \n", " 13\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 41\n", + " 13\n", " regular_ll\n", " \n", " \n", " 14\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 14\n", + " 5\n", " regular_ll\n", " \n", " \n", @@ -567,24 +567,24 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 15\n", + " 9\n", " regular_ll\n", " \n", " \n", " 16\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 24\n", + " 1\n", " regular_ll\n", " \n", " \n", @@ -593,50 +593,50 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 33\n", + " 29\n", " regular_ll\n", " \n", " \n", " 18\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 42\n", + " 35\n", " regular_ll\n", " \n", " \n", " 19\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 6\n", + " 39\n", " regular_ll\n", " \n", " \n", " 20\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 6\n", + " 50\n", " regular_ll\n", " \n", " \n", @@ -645,11 +645,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 24\n", + " 20\n", " regular_ll\n", " \n", " \n", @@ -658,37 +658,37 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 42\n", + " 17\n", " regular_ll\n", " \n", " \n", " 23\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 33\n", + " 14\n", " regular_ll\n", " \n", " \n", " 24\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 16\n", + " 10\n", " regular_ll\n", " \n", " \n", @@ -697,76 +697,76 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 15\n", + " 28\n", " regular_ll\n", " \n", " \n", " 26\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 34\n", + " 24\n", " regular_ll\n", " \n", " \n", " 27\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 7\n", + " 5\n", " regular_ll\n", " \n", " \n", " 28\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 25\n", + " 31\n", " regular_ll\n", " \n", " \n", " 29\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 16\n", + " 1\n", " regular_ll\n", " \n", " \n", " 30\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 43\n", + " 13\n", " regular_ll\n", " \n", " \n", @@ -775,37 +775,37 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 7\n", + " 36\n", " regular_ll\n", " \n", " \n", " 32\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 43\n", + " 37\n", " regular_ll\n", " \n", " \n", " 33\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 34\n", + " 22\n", " regular_ll\n", " \n", " \n", @@ -814,11 +814,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 25\n", + " 14\n", " regular_ll\n", " \n", " \n", @@ -827,11 +827,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 35\n", + " 4\n", " regular_ll\n", " \n", " \n", @@ -840,37 +840,37 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 26\n", + " 40\n", " regular_ll\n", " \n", " \n", " 37\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 17\n", + " 18\n", " regular_ll\n", " \n", " \n", " 38\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 35\n", + " 29\n", " regular_ll\n", " \n", " \n", @@ -879,37 +879,37 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 17\n", + " 9\n", " regular_ll\n", " \n", " \n", " 40\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 44\n", + " 15\n", " regular_ll\n", " \n", " \n", " 41\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 8\n", + " 3\n", " regular_ll\n", " \n", " \n", @@ -918,37 +918,37 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 26\n", + " 10\n", " regular_ll\n", " \n", " \n", " 43\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 8\n", + " 32\n", " regular_ll\n", " \n", " \n", " 44\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 34\n", + " 50\n", " regular_ll\n", " \n", " \n", @@ -957,63 +957,63 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 44\n", + " 19\n", " regular_ll\n", " \n", " \n", " 46\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 7\n", + " 25\n", " regular_ll\n", " \n", " \n", " 47\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 16\n", + " 26\n", " regular_ll\n", " \n", " \n", " 48\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 43\n", + " 33\n", " regular_ll\n", " \n", " \n", " 49\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 18\n", + " 36\n", " regular_ll\n", " \n", " \n", @@ -1022,102 +1022,102 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 25\n", + " 14\n", " regular_ll\n", " \n", " \n", " 51\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 17\n", + " 21\n", " regular_ll\n", " \n", " \n", " 52\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", + " 0\n", + " 20250226\n", + " 0\n", + " 0-21\n", + " cf\n", " 0\n", - " 21\n", - " pf\n", - " 44\n", " regular_ll\n", " \n", " \n", " 53\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 9\n", + " 4\n", " regular_ll\n", " \n", " \n", " 54\n", - " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " ecmf\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 35\n", + " 6\n", " regular_ll\n", " \n", " \n", " 55\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 45\n", + " 18\n", " regular_ll\n", " \n", " \n", " 56\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 27\n", + " 11\n", " regular_ll\n", " \n", " \n", " 57\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 36\n", + " 29\n", " regular_ll\n", " \n", " \n", @@ -1126,11 +1126,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 8\n", + " 9\n", " regular_ll\n", " \n", " \n", @@ -1139,76 +1139,76 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 26\n", + " 10\n", " regular_ll\n", " \n", " \n", " 60\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 18\n", + " 32\n", " regular_ll\n", " \n", " \n", " 61\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 9\n", + " 50\n", " regular_ll\n", " \n", " \n", " 62\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 27\n", + " 25\n", " regular_ll\n", " \n", " \n", " 63\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 45\n", + " 21\n", " regular_ll\n", " \n", " \n", " 64\n", " ecmf\n", - " tp\n", - " surface\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 20250108\n", + " 21\n", + " cf\n", " 0\n", - " 0-21\n", - " pf\n", - " 36\n", " regular_ll\n", " \n", " \n", @@ -1217,24 +1217,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 1\n", + " 3\n", " regular_ll\n", " \n", " \n", " 66\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 18\n", + " 22\n", " regular_ll\n", " \n", " \n", @@ -1243,7 +1243,7 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", @@ -1256,24 +1256,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", - " cf\n", - " 0\n", + " pf\n", + " 15\n", " regular_ll\n", " \n", " \n", " 69\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 9\n", + " 11\n", " regular_ll\n", " \n", " \n", @@ -1282,50 +1282,50 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 37\n", + " 6\n", " regular_ll\n", " \n", " \n", " 71\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 45\n", + " 26\n", " regular_ll\n", " \n", " \n", " 72\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 27\n", + " 33\n", " regular_ll\n", " \n", " \n", " 73\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 36\n", + " 37\n", " regular_ll\n", " \n", " \n", @@ -1334,89 +1334,89 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 28\n", + " 40\n", " regular_ll\n", " \n", " \n", " 75\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 19\n", + " 22\n", " regular_ll\n", " \n", " \n", " 76\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 1\n", + " 19\n", " regular_ll\n", " \n", " \n", " 77\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 28\n", + " 3\n", " regular_ll\n", " \n", " \n", " 78\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 46\n", + " 15\n", " regular_ll\n", " \n", " \n", " 79\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", - " 0\n", - " 0-21\n", - " cf\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", + " 21\n", + " pf\n", + " 11\n", " regular_ll\n", " \n", " \n", " 80\n", " ecmf\n", - " tp\n", - " surface\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 20250108\n", + " 21\n", + " cf\n", " 0\n", - " 0-21\n", - " pf\n", - " 37\n", " regular_ll\n", " \n", " \n", @@ -1425,24 +1425,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 1\n", + " 6\n", " regular_ll\n", " \n", " \n", " 82\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 46\n", + " 26\n", " regular_ll\n", " \n", " \n", @@ -1451,11 +1451,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 37\n", + " 33\n", " regular_ll\n", " \n", " \n", @@ -1464,115 +1464,115 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 28\n", + " 37\n", " regular_ll\n", " \n", " \n", " 85\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 19\n", + " 49\n", " regular_ll\n", " \n", " \n", " 86\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 38\n", + " 40\n", " regular_ll\n", " \n", " \n", " 87\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 29\n", + " 38\n", " regular_ll\n", " \n", " \n", " 88\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", - " cf\n", + " 20250226\n", " 0\n", + " 0-21\n", + " pf\n", + " 12\n", " regular_ll\n", " \n", " \n", " 89\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 46\n", + " 34\n", " regular_ll\n", " \n", " \n", " 90\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 10\n", + " 2\n", " regular_ll\n", " \n", " \n", " 91\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 47\n", + " 16\n", " regular_ll\n", " \n", " \n", " 92\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 2\n", + " 23\n", " regular_ll\n", " \n", " \n", @@ -1581,11 +1581,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 2\n", + " 30\n", " regular_ll\n", " \n", " \n", @@ -1594,50 +1594,50 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 38\n", + " 27\n", " regular_ll\n", " \n", " \n", " 95\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 29\n", + " 16\n", " regular_ll\n", " \n", " \n", " 96\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 29\n", + " 12\n", " regular_ll\n", " \n", " \n", " 97\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 10\n", + " 2\n", " regular_ll\n", " \n", " \n", @@ -1646,11 +1646,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 38\n", + " 16\n", " regular_ll\n", " \n", " \n", @@ -1659,24 +1659,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 20\n", + " 38\n", " regular_ll\n", " \n", " \n", " 100\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 47\n", + " 30\n", " regular_ll\n", " \n", " \n", @@ -1685,11 +1685,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 39\n", + " 23\n", " regular_ll\n", " \n", " \n", @@ -1698,141 +1698,141 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 21\n", + " 41\n", " regular_ll\n", " \n", " \n", " 103\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 10\n", + " 27\n", " regular_ll\n", " \n", " \n", " 104\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 47\n", + " 49\n", " regular_ll\n", " \n", " \n", " 105\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 48\n", + " 12\n", " regular_ll\n", " \n", " \n", " 106\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 11\n", + " 2\n", " regular_ll\n", " \n", " \n", " 107\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 3\n", + " 34\n", " regular_ll\n", " \n", " \n", " 108\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 48\n", + " 7\n", " regular_ll\n", " \n", " \n", " 109\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 20\n", + " 38\n", " regular_ll\n", " \n", " \n", " 110\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 11\n", + " 30\n", " regular_ll\n", " \n", " \n", " 111\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 3\n", + " 41\n", " regular_ll\n", " \n", " \n", " 112\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 49\n", + " 23\n", " regular_ll\n", " \n", " \n", @@ -1841,76 +1841,76 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 2\n", + " 49\n", " regular_ll\n", " \n", " \n", " 114\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 12\n", + " 27\n", " regular_ll\n", " \n", " \n", " 115\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 4\n", + " 39\n", " regular_ll\n", " \n", " \n", " 116\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 31\n", + " 35\n", " regular_ll\n", " \n", " \n", " 117\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 30\n", + " 34\n", " regular_ll\n", " \n", " \n", " 118\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 5\n", + " 20\n", " regular_ll\n", " \n", " \n", @@ -1919,50 +1919,50 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 48\n", + " 7\n", " regular_ll\n", " \n", " \n", " 120\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 13\n", + " 17\n", " regular_ll\n", " \n", " \n", " 121\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 40\n", + " 28\n", " regular_ll\n", " \n", " \n", " 122\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 39\n", + " 24\n", " regular_ll\n", " \n", " \n", @@ -1971,63 +1971,63 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 39\n", + " 5\n", " regular_ll\n", " \n", " \n", " 124\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 11\n", + " 1\n", " regular_ll\n", " \n", " \n", " 125\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 20\n", + " 13\n", " regular_ll\n", " \n", " \n", " 126\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 4\n", + " 31\n", " regular_ll\n", " \n", " \n", " 127\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 21\n", + " 8\n", " regular_ll\n", " \n", " \n", @@ -2036,24 +2036,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 3\n", + " 8\n", " regular_ll\n", " \n", " \n", " 129\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 49\n", + " 43\n", " regular_ll\n", " \n", " \n", @@ -2062,24 +2062,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 22\n", + " 42\n", " regular_ll\n", " \n", " \n", " 131\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 12\n", + " 47\n", " regular_ll\n", " \n", " \n", @@ -2088,24 +2088,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 30\n", + " 42\n", " regular_ll\n", " \n", " \n", " 133\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 31\n", + " 43\n", " regular_ll\n", " \n", " \n", @@ -2114,24 +2114,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 5\n", + " 43\n", " regular_ll\n", " \n", " \n", " 135\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", + " 0\n", + " 20250226\n", " 0\n", - " 21\n", + " 0-21\n", " pf\n", - " 23\n", + " 44\n", " regular_ll\n", " \n", " \n", @@ -2140,24 +2140,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 41\n", + " 47\n", " regular_ll\n", " \n", " \n", " 137\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 49\n", + " 47\n", " regular_ll\n", " \n", " \n", @@ -2166,50 +2166,50 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 4\n", + " 48\n", " regular_ll\n", " \n", " \n", " 139\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 13\n", + " 46\n", " regular_ll\n", " \n", " \n", " 140\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 50\n", + " 46\n", " regular_ll\n", " \n", " \n", " 141\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 30\n", + " 44\n", " regular_ll\n", " \n", " \n", @@ -2218,11 +2218,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 12\n", + " 7\n", " regular_ll\n", " \n", " \n", @@ -2231,24 +2231,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 22\n", + " 44\n", " regular_ll\n", " \n", " \n", " 144\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 40\n", + " 48\n", " regular_ll\n", " \n", " \n", @@ -2257,37 +2257,37 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 21\n", + " 41\n", " regular_ll\n", " \n", " \n", " 146\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 21\n", " pf\n", - " 14\n", + " 48\n", " regular_ll\n", " \n", " \n", " 147\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 21\n", + " 20250226\n", + " 0\n", + " 0-21\n", " pf\n", - " 32\n", + " 45\n", " regular_ll\n", " \n", " \n", @@ -2296,24 +2296,24 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 5\n", + " 8\n", " regular_ll\n", " \n", " \n", " 149\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 13\n", + " 45\n", " regular_ll\n", " \n", " \n", @@ -2322,24 +2322,24 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 22\n", + " 42\n", " regular_ll\n", " \n", " \n", " 151\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-21\n", + " 21\n", " pf\n", - " 40\n", + " 45\n", " regular_ll\n", " \n", " \n", @@ -2348,50 +2348,50 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-21\n", " pf\n", - " 31\n", + " 46\n", " regular_ll\n", " \n", " \n", " 153\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 14\n", + " 35\n", " regular_ll\n", " \n", " \n", " 154\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 41\n", + " 28\n", " regular_ll\n", " \n", " \n", " 155\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 23\n", + " 24\n", " regular_ll\n", " \n", " \n", @@ -2400,37 +2400,37 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 42\n", + " 39\n", " regular_ll\n", " \n", " \n", " 157\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 32\n", + " 13\n", " regular_ll\n", " \n", " \n", " 158\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 50\n", + " 31\n", " regular_ll\n", " \n", " \n", @@ -2439,11 +2439,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 6\n", + " 17\n", " regular_ll\n", " \n", " \n", @@ -2452,76 +2452,76 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 24\n", + " 20\n", " regular_ll\n", " \n", " \n", " 161\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 41\n", + " 36\n", " regular_ll\n", " \n", " \n", " 162\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 14\n", + " 21\n", " regular_ll\n", " \n", " \n", " 163\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 32\n", + " 5\n", " regular_ll\n", " \n", " \n", " 164\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 33\n", + " 14\n", " regular_ll\n", " \n", " \n", " 165\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 50\n", + " 1\n", " regular_ll\n", " \n", " \n", @@ -2530,37 +2530,37 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 33\n", + " 25\n", " regular_ll\n", " \n", " \n", " 167\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 15\n", + " 18\n", " regular_ll\n", " \n", " \n", " 168\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 23\n", + " 4\n", " regular_ll\n", " \n", " \n", @@ -2569,11 +2569,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 42\n", + " 29\n", " regular_ll\n", " \n", " \n", @@ -2582,11 +2582,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 15\n", + " 9\n", " regular_ll\n", " \n", " \n", @@ -2595,11 +2595,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 24\n", + " 32\n", " regular_ll\n", " \n", " \n", @@ -2608,24 +2608,24 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 6\n", + " 10\n", " regular_ll\n", " \n", " \n", " 173\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 7\n", + " 28\n", " regular_ll\n", " \n", " \n", @@ -2634,63 +2634,63 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 42\n", + " 24\n", " regular_ll\n", " \n", " \n", " 175\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 34\n", + " 39\n", " regular_ll\n", " \n", " \n", " 176\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 25\n", + " 35\n", " regular_ll\n", " \n", " \n", " 177\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 34\n", + " 31\n", " regular_ll\n", " \n", " \n", " 178\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 16\n", + " 13\n", " regular_ll\n", " \n", " \n", @@ -2699,24 +2699,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 15\n", + " 17\n", " regular_ll\n", " \n", " \n", " 180\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 6\n", + " 50\n", " regular_ll\n", " \n", " \n", @@ -2725,37 +2725,37 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 24\n", + " 20\n", " regular_ll\n", " \n", " \n", " 182\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 43\n", + " 5\n", " regular_ll\n", " \n", " \n", " 183\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 8\n", + " 1\n", " regular_ll\n", " \n", " \n", @@ -2764,24 +2764,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 44\n", + " 36\n", " regular_ll\n", " \n", " \n", " 185\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 33\n", + " 21\n", " regular_ll\n", " \n", " \n", @@ -2790,11 +2790,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 25\n", + " 4\n", " regular_ll\n", " \n", " \n", @@ -2803,11 +2803,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 43\n", + " 50\n", " regular_ll\n", " \n", " \n", @@ -2816,24 +2816,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 16\n", + " 29\n", " regular_ll\n", " \n", " \n", " 189\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 35\n", + " 11\n", " regular_ll\n", " \n", " \n", @@ -2842,11 +2842,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 7\n", + " 9\n", " regular_ll\n", " \n", " \n", @@ -2855,24 +2855,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 26\n", + " 14\n", " regular_ll\n", " \n", " \n", " 192\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 35\n", + " 32\n", " regular_ll\n", " \n", " \n", @@ -2881,293 +2881,306 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 17\n", + " 25\n", " regular_ll\n", " \n", " \n", " 194\n", " ecmf\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", + " 0\n", + " 24\n", + " pf\n", + " 10\n", + " regular_ll\n", + " \n", + " \n", + " 195\n", + " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 26\n", + " 37\n", " regular_ll\n", " \n", " \n", - " 195\n", + " 196\n", + " ecmf\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", + " 0\n", + " 24\n", + " pf\n", + " 18\n", + " regular_ll\n", + " \n", + " \n", + " 197\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 43\n", + " 36\n", " regular_ll\n", " \n", " \n", - " 196\n", + " 198\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 44\n", + " 33\n", " regular_ll\n", " \n", " \n", - " 197\n", + " 199\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 17\n", + " 15\n", " regular_ll\n", " \n", " \n", - " 198\n", + " 200\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 7\n", + " 19\n", " regular_ll\n", " \n", " \n", - " 199\n", + " 201\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 8\n", + " 26\n", " regular_ll\n", " \n", " \n", - " 200\n", + " 202\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 25\n", + " 40\n", " regular_ll\n", " \n", " \n", - " 201\n", + " 203\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 34\n", + " 22\n", " regular_ll\n", " \n", " \n", - " 202\n", + " 204\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 16\n", + " 21\n", " regular_ll\n", " \n", " \n", - " 203\n", + " 205\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 36\n", + " 29\n", " regular_ll\n", " \n", " \n", - " 204\n", + " 206\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 8\n", + " 4\n", " regular_ll\n", " \n", " \n", - " 205\n", + " 207\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 44\n", + " 3\n", " regular_ll\n", " \n", " \n", - " 206\n", + " 208\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 35\n", + " 50\n", " regular_ll\n", " \n", " \n", - " 207\n", + " 209\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 26\n", + " 9\n", " regular_ll\n", " \n", " \n", - " 208\n", + " 210\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 45\n", + " 14\n", " regular_ll\n", " \n", " \n", - " 209\n", + " 211\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", - " pf\n", - " 9\n", + " cf\n", + " 0\n", " regular_ll\n", " \n", " \n", - " 210\n", + " 212\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 9\n", + " 32\n", " regular_ll\n", " \n", " \n", - " 211\n", + " 213\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 17\n", + " 10\n", " regular_ll\n", " \n", " \n", - " 212\n", + " 214\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 27\n", - " regular_ll\n", - " \n", - " \n", - " 213\n", - " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", - " 0\n", - " 0-24\n", - " pf\n", - " 45\n", + " 25\n", " regular_ll\n", " \n", " \n", - " 214\n", + " 215\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 27\n", + " 6\n", " regular_ll\n", " \n", " \n", - " 215\n", + " 216\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -3175,81 +3188,68 @@ " regular_ll\n", " \n", " \n", - " 216\n", - " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", - " 0\n", - " 0-24\n", - " pf\n", - " 18\n", - " regular_ll\n", - " \n", - " \n", " 217\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 36\n", + " 3\n", " regular_ll\n", " \n", " \n", " 218\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 36\n", + " 37\n", " regular_ll\n", " \n", " \n", " 219\n", - " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " ecmf\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 37\n", + " 6\n", " regular_ll\n", " \n", " \n", " 220\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 45\n", + " 19\n", " regular_ll\n", " \n", " \n", " 221\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 18\n", + " 40\n", " regular_ll\n", " \n", " \n", @@ -3258,24 +3258,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", - " cf\n", - " 0\n", + " pf\n", + " 22\n", " regular_ll\n", " \n", " \n", " 223\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 9\n", + " 15\n", " regular_ll\n", " \n", " \n", @@ -3284,11 +3284,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 1\n", + " 33\n", " regular_ll\n", " \n", " \n", @@ -3297,59 +3297,59 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 28\n", + " 26\n", " regular_ll\n", " \n", " \n", " 226\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", - " pf\n", - " 27\n", + " cf\n", + " 0\n", " regular_ll\n", " \n", " \n", " 227\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 19\n", + " 11\n", " regular_ll\n", " \n", " \n", " 228\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", - " 0\n", - " 0-24\n", - " cf\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", + " 24\n", + " pf\n", + " 3\n", " regular_ll\n", " \n", " \n", " 229\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -3359,23 +3359,23 @@ " \n", " 230\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 46\n", + " 6\n", " regular_ll\n", " \n", " \n", " 231\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -3385,40 +3385,40 @@ " \n", " 232\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 1\n", + " 22\n", " regular_ll\n", " \n", " \n", " 233\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 46\n", + " 15\n", " regular_ll\n", " \n", " \n", " 234\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 28\n", + " 40\n", " regular_ll\n", " \n", " \n", @@ -3427,11 +3427,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 1\n", + " 33\n", " regular_ll\n", " \n", " \n", @@ -3440,11 +3440,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", - " cf\n", - " 0\n", + " pf\n", + " 26\n", " regular_ll\n", " \n", " \n", @@ -3453,11 +3453,11 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", - " pf\n", - " 37\n", + " cf\n", + " 0\n", " regular_ll\n", " \n", " \n", @@ -3466,48 +3466,48 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 19\n", + " 11\n", " regular_ll\n", " \n", " \n", " 239\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 28\n", + " 34\n", " regular_ll\n", " \n", " \n", " 240\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 46\n", + " 12\n", " regular_ll\n", " \n", " \n", " 241\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", " 38\n", " regular_ll\n", @@ -3515,53 +3515,53 @@ " \n", " 242\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 29\n", + " 27\n", " regular_ll\n", " \n", " \n", " 243\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 47\n", + " 30\n", " regular_ll\n", " \n", " \n", " 244\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 10\n", + " 49\n", " regular_ll\n", " \n", " \n", " 245\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 2\n", + " 23\n", " regular_ll\n", " \n", " \n", @@ -3570,11 +3570,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 47\n", + " 16\n", " regular_ll\n", " \n", " \n", @@ -3583,22 +3583,22 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 10\n", + " 2\n", " regular_ll\n", " \n", " \n", " 248\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", " 38\n", " regular_ll\n", @@ -3606,27 +3606,27 @@ " \n", " 249\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 38\n", + " 16\n", " regular_ll\n", " \n", " \n", " 250\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 29\n", + " 2\n", " regular_ll\n", " \n", " \n", @@ -3635,37 +3635,37 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 47\n", + " 38\n", " regular_ll\n", " \n", " \n", " 252\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 29\n", + " 30\n", " regular_ll\n", " \n", " \n", " 253\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 2\n", + " 23\n", " regular_ll\n", " \n", " \n", @@ -3674,24 +3674,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 48\n", + " 49\n", " regular_ll\n", " \n", " \n", " 255\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 10\n", + " 34\n", " regular_ll\n", " \n", " \n", @@ -3700,11 +3700,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 3\n", + " 27\n", " regular_ll\n", " \n", " \n", @@ -3713,11 +3713,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 39\n", + " 7\n", " regular_ll\n", " \n", " \n", @@ -3726,85 +3726,85 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 20\n", + " 12\n", " regular_ll\n", " \n", " \n", " 259\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 11\n", + " 16\n", " regular_ll\n", " \n", " \n", " 260\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 2\n", + " 41\n", " regular_ll\n", " \n", " \n", " 261\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 48\n", + " 2\n", " regular_ll\n", " \n", " \n", " 262\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 3\n", + " 30\n", " regular_ll\n", " \n", " \n", " 263\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 4\n", + " 23\n", " regular_ll\n", " \n", " \n", " 264\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -3814,53 +3814,53 @@ " \n", " 265\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 30\n", + " 34\n", " regular_ll\n", " \n", " \n", " 266\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 21\n", + " 27\n", " regular_ll\n", " \n", " \n", " 267\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 12\n", + " 7\n", " regular_ll\n", " \n", " \n", " 268\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 20\n", + " 12\n", " regular_ll\n", " \n", " \n", @@ -3869,46 +3869,33 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 11\n", + " 24\n", " regular_ll\n", " \n", " \n", " 270\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", - " pf\n", - " 48\n", - " regular_ll\n", - " \n", - " \n", - " 271\n", - " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", - " 24\n", + " 0-24\n", " pf\n", - " 20\n", + " 35\n", " regular_ll\n", " \n", " \n", - " 272\n", + " 271\n", " ecmf\n", " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", @@ -3916,42 +3903,55 @@ " regular_ll\n", " \n", " \n", - " 273\n", + " 272\n", " ecmf\n", " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 39\n", + " 41\n", + " regular_ll\n", + " \n", + " \n", + " 273\n", + " ecmf\n", + " tp\n", + " surface\n", + " 0\n", + " 20250226\n", + " 0\n", + " 0-24\n", + " pf\n", + " 28\n", " regular_ll\n", " \n", " \n", " 274\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 3\n", + " 31\n", " regular_ll\n", " \n", " \n", " 275\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 11\n", + " 13\n", " regular_ll\n", " \n", " \n", @@ -3960,50 +3960,50 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 21\n", + " 5\n", " regular_ll\n", " \n", " \n", " 277\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 4\n", + " 1\n", " regular_ll\n", " \n", " \n", " 278\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 40\n", + " 17\n", " regular_ll\n", " \n", " \n", " 279\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 49\n", + " 20\n", " regular_ll\n", " \n", " \n", @@ -4012,11 +4012,11 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 13\n", + " 8\n", " regular_ll\n", " \n", " \n", @@ -4025,24 +4025,24 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 21\n", + " 8\n", " regular_ll\n", " \n", " \n", " 282\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 12\n", + " 42\n", " regular_ll\n", " \n", " \n", @@ -4051,37 +4051,37 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 4\n", + " 43\n", " regular_ll\n", " \n", " \n", " 284\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 31\n", + " 42\n", " regular_ll\n", " \n", " \n", " 285\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 30\n", + " 47\n", " regular_ll\n", " \n", " \n", @@ -4090,63 +4090,63 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 5\n", + " 43\n", " regular_ll\n", " \n", " \n", " 287\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 12\n", + " 43\n", " regular_ll\n", " \n", " \n", " 288\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 30\n", + " 47\n", " regular_ll\n", " \n", " \n", " 289\n", " ecmf\n", - " 10u\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 50\n", + " 44\n", " regular_ll\n", " \n", " \n", " 290\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 22\n", + " 47\n", " regular_ll\n", " \n", " \n", @@ -4155,11 +4155,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 49\n", + " 48\n", " regular_ll\n", " \n", " \n", @@ -4168,24 +4168,24 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 32\n", + " 46\n", " regular_ll\n", " \n", " \n", " 293\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 41\n", + " 46\n", " regular_ll\n", " \n", " \n", @@ -4194,63 +4194,63 @@ " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 23\n", + " 44\n", " regular_ll\n", " \n", " \n", " 295\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 31\n", + " 7\n", " regular_ll\n", " \n", " \n", " 296\n", " ecmf\n", - " 10u\n", + " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 14\n", + " 44\n", " regular_ll\n", " \n", " \n", " 297\n", " ecmf\n", - " 10v\n", + " 10u\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 40\n", + " 48\n", " regular_ll\n", " \n", " \n", " 298\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 13\n", + " 41\n", " regular_ll\n", " \n", " \n", @@ -4259,37 +4259,37 @@ " 10v\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", - " 22\n", + " 48\n", " regular_ll\n", " \n", " \n", " 300\n", " ecmf\n", - " 10v\n", - " heightAboveGround\n", - " 10\n", - " 20250108\n", + " tp\n", + " surface\n", " 0\n", - " 24\n", + " 20250226\n", + " 0\n", + " 0-24\n", " pf\n", - " 5\n", + " 45\n", " regular_ll\n", " \n", " \n", " 301\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10u\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 22\n", + " 45\n", " regular_ll\n", " \n", " \n", @@ -4298,11 +4298,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 40\n", + " 8\n", " regular_ll\n", " \n", " \n", @@ -4311,24 +4311,24 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 13\n", + " 42\n", " regular_ll\n", " \n", " \n", " 304\n", " ecmf\n", - " tp\n", - " surface\n", - " 0\n", - " 20250108\n", + " 10v\n", + " heightAboveGround\n", + " 10\n", + " 20250226\n", " 0\n", - " 0-24\n", + " 24\n", " pf\n", - " 31\n", + " 45\n", " regular_ll\n", " \n", " \n", @@ -4337,11 +4337,11 @@ " tp\n", " surface\n", " 0\n", - " 20250108\n", + " 20250226\n", " 0\n", " 0-24\n", " pf\n", - " 5\n", + " 46\n", " regular_ll\n", " \n", " \n", @@ -4351,621 +4351,621 @@ "text/plain": [ " centre shortName typeOfLevel level dataDate dataTime \\\n", "Message \n", - "0 ecmf tp surface 0 20250108 0 \n", - "1 ecmf 10v heightAboveGround 10 20250108 0 \n", - "2 ecmf 10v heightAboveGround 10 20250108 0 \n", - "3 ecmf 10u heightAboveGround 10 20250108 0 \n", - "4 ecmf 10u heightAboveGround 10 20250108 0 \n", - "5 ecmf 10v heightAboveGround 10 20250108 0 \n", - "6 ecmf tp surface 0 20250108 0 \n", - "7 ecmf 10u heightAboveGround 10 20250108 0 \n", - "8 ecmf tp surface 0 20250108 0 \n", - "9 ecmf tp surface 0 20250108 0 \n", - "10 ecmf tp surface 0 20250108 0 \n", - "11 ecmf 10u heightAboveGround 10 20250108 0 \n", - "12 ecmf 10u heightAboveGround 10 20250108 0 \n", - "13 ecmf 10v heightAboveGround 10 20250108 0 \n", - "14 ecmf 10v heightAboveGround 10 20250108 0 \n", - "15 ecmf tp surface 0 20250108 0 \n", - "16 ecmf tp surface 0 20250108 0 \n", - "17 ecmf tp surface 0 20250108 0 \n", - "18 ecmf tp surface 0 20250108 0 \n", - "19 ecmf tp surface 0 20250108 0 \n", - "20 ecmf 10v heightAboveGround 10 20250108 0 \n", - "21 ecmf 10v heightAboveGround 10 20250108 0 \n", - "22 ecmf 10v heightAboveGround 10 20250108 0 \n", - "23 ecmf 10v heightAboveGround 10 20250108 0 \n", - "24 ecmf 10u heightAboveGround 10 20250108 0 \n", - "25 ecmf 10v heightAboveGround 10 20250108 0 \n", - "26 ecmf tp surface 0 20250108 0 \n", - "27 ecmf tp surface 0 20250108 0 \n", - "28 ecmf tp surface 0 20250108 0 \n", - "29 ecmf tp surface 0 20250108 0 \n", - "30 ecmf tp surface 0 20250108 0 \n", - "31 ecmf 10u heightAboveGround 10 20250108 0 \n", - "32 ecmf 10u heightAboveGround 10 20250108 0 \n", - "33 ecmf 10u heightAboveGround 10 20250108 0 \n", - "34 ecmf 10u heightAboveGround 10 20250108 0 \n", - "35 ecmf 10u heightAboveGround 10 20250108 0 \n", - "36 ecmf tp surface 0 20250108 0 \n", - "37 ecmf tp surface 0 20250108 0 \n", - "38 ecmf tp surface 0 20250108 0 \n", - "39 ecmf 10u heightAboveGround 10 20250108 0 \n", - "40 ecmf 10u heightAboveGround 10 20250108 0 \n", - "41 ecmf 10u heightAboveGround 10 20250108 0 \n", - "42 ecmf 10u heightAboveGround 10 20250108 0 \n", - "43 ecmf tp surface 0 20250108 0 \n", - "44 ecmf 10v heightAboveGround 10 20250108 0 \n", - "45 ecmf tp surface 0 20250108 0 \n", - "46 ecmf 10v heightAboveGround 10 20250108 0 \n", - "47 ecmf 10v heightAboveGround 10 20250108 0 \n", - "48 ecmf 10v heightAboveGround 10 20250108 0 \n", - "49 ecmf 10u heightAboveGround 10 20250108 0 \n", - "50 ecmf 10v heightAboveGround 10 20250108 0 \n", - "51 ecmf 10v heightAboveGround 10 20250108 0 \n", - "52 ecmf 10v heightAboveGround 10 20250108 0 \n", - "53 ecmf 10u heightAboveGround 10 20250108 0 \n", - "54 ecmf 10v heightAboveGround 10 20250108 0 \n", - "55 ecmf 10u heightAboveGround 10 20250108 0 \n", - "56 ecmf 10u heightAboveGround 10 20250108 0 \n", - "57 ecmf 10u heightAboveGround 10 20250108 0 \n", - "58 ecmf 10v heightAboveGround 10 20250108 0 \n", - "59 ecmf 10v heightAboveGround 10 20250108 0 \n", - "60 ecmf tp surface 0 20250108 0 \n", - "61 ecmf tp surface 0 20250108 0 \n", - "62 ecmf tp surface 0 20250108 0 \n", - "63 ecmf tp surface 0 20250108 0 \n", - "64 ecmf tp surface 0 20250108 0 \n", - "65 ecmf 10u heightAboveGround 10 20250108 0 \n", - "66 ecmf 10v heightAboveGround 10 20250108 0 \n", - "67 ecmf 10u heightAboveGround 10 20250108 0 \n", - "68 ecmf 10u heightAboveGround 10 20250108 0 \n", - "69 ecmf 10v heightAboveGround 10 20250108 0 \n", - "70 ecmf 10u heightAboveGround 10 20250108 0 \n", - "71 ecmf 10v heightAboveGround 10 20250108 0 \n", - "72 ecmf 10v heightAboveGround 10 20250108 0 \n", - "73 ecmf 10v heightAboveGround 10 20250108 0 \n", - "74 ecmf 10u heightAboveGround 10 20250108 0 \n", - "75 ecmf tp surface 0 20250108 0 \n", - "76 ecmf tp surface 0 20250108 0 \n", - "77 ecmf tp surface 0 20250108 0 \n", - "78 ecmf 10u heightAboveGround 10 20250108 0 \n", - "79 ecmf tp surface 0 20250108 0 \n", - "80 ecmf tp surface 0 20250108 0 \n", - "81 ecmf 10v heightAboveGround 10 20250108 0 \n", - "82 ecmf tp surface 0 20250108 0 \n", - "83 ecmf 10v heightAboveGround 10 20250108 0 \n", - "84 ecmf 10v heightAboveGround 10 20250108 0 \n", - "85 ecmf 10v heightAboveGround 10 20250108 0 \n", - "86 ecmf 10u heightAboveGround 10 20250108 0 \n", - "87 ecmf 10u heightAboveGround 10 20250108 0 \n", - "88 ecmf 10v heightAboveGround 10 20250108 0 \n", - "89 ecmf 10v heightAboveGround 10 20250108 0 \n", - "90 ecmf 10u heightAboveGround 10 20250108 0 \n", - "91 ecmf 10u heightAboveGround 10 20250108 0 \n", - "92 ecmf 10u heightAboveGround 10 20250108 0 \n", - "93 ecmf tp surface 0 20250108 0 \n", - "94 ecmf tp surface 0 20250108 0 \n", - "95 ecmf tp surface 0 20250108 0 \n", - "96 ecmf 10v heightAboveGround 10 20250108 0 \n", - "97 ecmf tp surface 0 20250108 0 \n", - "98 ecmf 10v heightAboveGround 10 20250108 0 \n", - "99 ecmf 10u heightAboveGround 10 20250108 0 \n", - "100 ecmf 10v heightAboveGround 10 20250108 0 \n", - "101 ecmf 10u heightAboveGround 10 20250108 0 \n", - "102 ecmf 10u heightAboveGround 10 20250108 0 \n", - "103 ecmf 10v heightAboveGround 10 20250108 0 \n", - "104 ecmf tp surface 0 20250108 0 \n", - "105 ecmf 10u heightAboveGround 10 20250108 0 \n", - "106 ecmf tp surface 0 20250108 0 \n", - "107 ecmf tp surface 0 20250108 0 \n", - "108 ecmf tp surface 0 20250108 0 \n", - "109 ecmf tp surface 0 20250108 0 \n", - "110 ecmf 10u heightAboveGround 10 20250108 0 \n", - "111 ecmf 10u heightAboveGround 10 20250108 0 \n", - "112 ecmf 10u heightAboveGround 10 20250108 0 \n", - "113 ecmf 10v heightAboveGround 10 20250108 0 \n", - "114 ecmf 10u heightAboveGround 10 20250108 0 \n", - "115 ecmf 10u heightAboveGround 10 20250108 0 \n", - "116 ecmf 10u heightAboveGround 10 20250108 0 \n", - "117 ecmf 10u heightAboveGround 10 20250108 0 \n", - "118 ecmf 10u heightAboveGround 10 20250108 0 \n", - "119 ecmf 10v heightAboveGround 10 20250108 0 \n", - "120 ecmf 10u heightAboveGround 10 20250108 0 \n", - "121 ecmf 10u heightAboveGround 10 20250108 0 \n", - "122 ecmf 10v heightAboveGround 10 20250108 0 \n", - "123 ecmf tp surface 0 20250108 0 \n", - "124 ecmf 10v heightAboveGround 10 20250108 0 \n", - "125 ecmf 10v heightAboveGround 10 20250108 0 \n", - "126 ecmf 10v heightAboveGround 10 20250108 0 \n", - "127 ecmf 10v heightAboveGround 10 20250108 0 \n", - "128 ecmf 10v heightAboveGround 10 20250108 0 \n", - "129 ecmf 10v heightAboveGround 10 20250108 0 \n", - "130 ecmf 10u heightAboveGround 10 20250108 0 \n", - "131 ecmf 10v heightAboveGround 10 20250108 0 \n", - "132 ecmf 10v heightAboveGround 10 20250108 0 \n", - "133 ecmf 10v heightAboveGround 10 20250108 0 \n", - "134 ecmf 10v heightAboveGround 10 20250108 0 \n", - "135 ecmf 10u heightAboveGround 10 20250108 0 \n", - "136 ecmf 10u heightAboveGround 10 20250108 0 \n", - "137 ecmf tp surface 0 20250108 0 \n", - "138 ecmf tp surface 0 20250108 0 \n", - "139 ecmf 10v heightAboveGround 10 20250108 0 \n", - "140 ecmf 10u heightAboveGround 10 20250108 0 \n", - "141 ecmf tp surface 0 20250108 0 \n", - "142 ecmf tp surface 0 20250108 0 \n", - "143 ecmf 10v heightAboveGround 10 20250108 0 \n", - "144 ecmf 10v heightAboveGround 10 20250108 0 \n", - "145 ecmf tp surface 0 20250108 0 \n", - "146 ecmf 10u heightAboveGround 10 20250108 0 \n", - "147 ecmf 10u heightAboveGround 10 20250108 0 \n", - "148 ecmf tp surface 0 20250108 0 \n", - "149 ecmf tp surface 0 20250108 0 \n", - "150 ecmf tp surface 0 20250108 0 \n", - "151 ecmf tp surface 0 20250108 0 \n", - "152 ecmf tp surface 0 20250108 0 \n", - "153 ecmf tp surface 0 20250108 0 \n", - "154 ecmf tp surface 0 20250108 0 \n", - "155 ecmf tp surface 0 20250108 0 \n", - "156 ecmf 10u heightAboveGround 10 20250108 0 \n", - "157 ecmf tp surface 0 20250108 0 \n", - "158 ecmf tp surface 0 20250108 0 \n", - "159 ecmf 10u heightAboveGround 10 20250108 0 \n", - "160 ecmf 10u heightAboveGround 10 20250108 0 \n", - "161 ecmf 10v heightAboveGround 10 20250108 0 \n", - "162 ecmf 10v heightAboveGround 10 20250108 0 \n", - "163 ecmf 10v heightAboveGround 10 20250108 0 \n", - "164 ecmf 10u heightAboveGround 10 20250108 0 \n", - "165 ecmf 10v heightAboveGround 10 20250108 0 \n", - "166 ecmf tp surface 0 20250108 0 \n", - "167 ecmf 10u heightAboveGround 10 20250108 0 \n", - "168 ecmf 10v heightAboveGround 10 20250108 0 \n", - "169 ecmf tp surface 0 20250108 0 \n", - "170 ecmf tp surface 0 20250108 0 \n", - "171 ecmf tp surface 0 20250108 0 \n", - "172 ecmf tp surface 0 20250108 0 \n", - "173 ecmf tp surface 0 20250108 0 \n", - "174 ecmf 10v heightAboveGround 10 20250108 0 \n", - "175 ecmf 10u heightAboveGround 10 20250108 0 \n", - "176 ecmf tp surface 0 20250108 0 \n", - "177 ecmf tp surface 0 20250108 0 \n", - "178 ecmf tp surface 0 20250108 0 \n", - "179 ecmf 10v heightAboveGround 10 20250108 0 \n", - "180 ecmf 10v heightAboveGround 10 20250108 0 \n", - "181 ecmf 10v heightAboveGround 10 20250108 0 \n", - "182 ecmf tp surface 0 20250108 0 \n", - "183 ecmf 10u heightAboveGround 10 20250108 0 \n", - "184 ecmf 10u heightAboveGround 10 20250108 0 \n", - "185 ecmf 10v heightAboveGround 10 20250108 0 \n", - "186 ecmf 10u heightAboveGround 10 20250108 0 \n", - "187 ecmf 10u heightAboveGround 10 20250108 0 \n", - "188 ecmf 10u heightAboveGround 10 20250108 0 \n", - "189 ecmf 10u heightAboveGround 10 20250108 0 \n", - "190 ecmf 10u heightAboveGround 10 20250108 0 \n", - "191 ecmf 10u heightAboveGround 10 20250108 0 \n", - "192 ecmf tp surface 0 20250108 0 \n", - "193 ecmf 10u heightAboveGround 10 20250108 0 \n", - "194 ecmf tp surface 0 20250108 0 \n", - "195 ecmf 10v heightAboveGround 10 20250108 0 \n", - "196 ecmf tp surface 0 20250108 0 \n", - "197 ecmf tp surface 0 20250108 0 \n", - "198 ecmf 10v heightAboveGround 10 20250108 0 \n", - "199 ecmf tp surface 0 20250108 0 \n", - "200 ecmf 10v heightAboveGround 10 20250108 0 \n", - "201 ecmf 10v heightAboveGround 10 20250108 0 \n", - "202 ecmf 10v heightAboveGround 10 20250108 0 \n", - "203 ecmf 10u heightAboveGround 10 20250108 0 \n", - "204 ecmf 10v heightAboveGround 10 20250108 0 \n", - "205 ecmf 10v heightAboveGround 10 20250108 0 \n", - "206 ecmf 10v heightAboveGround 10 20250108 0 \n", - "207 ecmf 10v heightAboveGround 10 20250108 0 \n", - "208 ecmf 10u heightAboveGround 10 20250108 0 \n", - "209 ecmf tp surface 0 20250108 0 \n", - "210 ecmf 10u heightAboveGround 10 20250108 0 \n", - "211 ecmf 10v heightAboveGround 10 20250108 0 \n", - "212 ecmf 10u heightAboveGround 10 20250108 0 \n", - "213 ecmf tp surface 0 20250108 0 \n", - "214 ecmf tp surface 0 20250108 0 \n", - "215 ecmf 10u heightAboveGround 10 20250108 0 \n", - "216 ecmf tp surface 0 20250108 0 \n", - "217 ecmf tp surface 0 20250108 0 \n", - "218 ecmf 10v heightAboveGround 10 20250108 0 \n", - "219 ecmf tp surface 0 20250108 0 \n", - "220 ecmf 10v heightAboveGround 10 20250108 0 \n", - "221 ecmf 10v heightAboveGround 10 20250108 0 \n", - "222 ecmf 10u heightAboveGround 10 20250108 0 \n", - "223 ecmf 10v heightAboveGround 10 20250108 0 \n", - "224 ecmf 10u heightAboveGround 10 20250108 0 \n", - "225 ecmf 10u heightAboveGround 10 20250108 0 \n", - "226 ecmf 10v heightAboveGround 10 20250108 0 \n", - "227 ecmf tp surface 0 20250108 0 \n", - "228 ecmf tp surface 0 20250108 0 \n", - "229 ecmf 10u heightAboveGround 10 20250108 0 \n", - "230 ecmf 10u heightAboveGround 10 20250108 0 \n", - "231 ecmf 10u heightAboveGround 10 20250108 0 \n", - "232 ecmf tp surface 0 20250108 0 \n", - "233 ecmf tp surface 0 20250108 0 \n", - "234 ecmf tp surface 0 20250108 0 \n", - "235 ecmf 10v heightAboveGround 10 20250108 0 \n", - "236 ecmf 10v heightAboveGround 10 20250108 0 \n", - "237 ecmf 10v heightAboveGround 10 20250108 0 \n", - "238 ecmf 10v heightAboveGround 10 20250108 0 \n", - "239 ecmf 10v heightAboveGround 10 20250108 0 \n", - "240 ecmf 10v heightAboveGround 10 20250108 0 \n", - "241 ecmf 10u heightAboveGround 10 20250108 0 \n", - "242 ecmf 10u heightAboveGround 10 20250108 0 \n", - "243 ecmf 10u heightAboveGround 10 20250108 0 \n", - "244 ecmf 10u heightAboveGround 10 20250108 0 \n", - "245 ecmf 10u heightAboveGround 10 20250108 0 \n", - "246 ecmf tp surface 0 20250108 0 \n", - "247 ecmf tp surface 0 20250108 0 \n", - "248 ecmf tp surface 0 20250108 0 \n", - "249 ecmf 10v heightAboveGround 10 20250108 0 \n", - "250 ecmf 10v heightAboveGround 10 20250108 0 \n", - "251 ecmf 10v heightAboveGround 10 20250108 0 \n", - "252 ecmf tp surface 0 20250108 0 \n", - "253 ecmf tp surface 0 20250108 0 \n", - "254 ecmf 10u heightAboveGround 10 20250108 0 \n", - "255 ecmf 10v heightAboveGround 10 20250108 0 \n", - "256 ecmf 10u heightAboveGround 10 20250108 0 \n", - "257 ecmf 10u heightAboveGround 10 20250108 0 \n", - "258 ecmf 10u heightAboveGround 10 20250108 0 \n", - "259 ecmf 10u heightAboveGround 10 20250108 0 \n", - "260 ecmf 10v heightAboveGround 10 20250108 0 \n", - "261 ecmf tp surface 0 20250108 0 \n", - "262 ecmf tp surface 0 20250108 0 \n", - "263 ecmf 10u heightAboveGround 10 20250108 0 \n", - "264 ecmf 10u heightAboveGround 10 20250108 0 \n", - "265 ecmf 10u heightAboveGround 10 20250108 0 \n", - "266 ecmf 10u heightAboveGround 10 20250108 0 \n", - "267 ecmf 10u heightAboveGround 10 20250108 0 \n", - "268 ecmf tp surface 0 20250108 0 \n", - "269 ecmf tp surface 0 20250108 0 \n", - "270 ecmf 10v heightAboveGround 10 20250108 0 \n", - "271 ecmf 10v heightAboveGround 10 20250108 0 \n", - "272 ecmf tp surface 0 20250108 0 \n", - "273 ecmf 10v heightAboveGround 10 20250108 0 \n", - "274 ecmf 10v heightAboveGround 10 20250108 0 \n", - "275 ecmf 10v heightAboveGround 10 20250108 0 \n", - "276 ecmf tp surface 0 20250108 0 \n", - "277 ecmf 10v heightAboveGround 10 20250108 0 \n", - "278 ecmf 10u heightAboveGround 10 20250108 0 \n", - "279 ecmf 10v heightAboveGround 10 20250108 0 \n", - "280 ecmf 10u heightAboveGround 10 20250108 0 \n", - "281 ecmf 10v heightAboveGround 10 20250108 0 \n", - "282 ecmf 10v heightAboveGround 10 20250108 0 \n", - "283 ecmf tp surface 0 20250108 0 \n", - "284 ecmf 10u heightAboveGround 10 20250108 0 \n", - "285 ecmf 10v heightAboveGround 10 20250108 0 \n", - "286 ecmf 10u heightAboveGround 10 20250108 0 \n", - "287 ecmf tp surface 0 20250108 0 \n", - "288 ecmf tp surface 0 20250108 0 \n", - "289 ecmf 10u heightAboveGround 10 20250108 0 \n", - "290 ecmf 10u heightAboveGround 10 20250108 0 \n", - "291 ecmf tp surface 0 20250108 0 \n", - "292 ecmf 10u heightAboveGround 10 20250108 0 \n", - "293 ecmf 10u heightAboveGround 10 20250108 0 \n", - "294 ecmf 10u heightAboveGround 10 20250108 0 \n", - "295 ecmf 10v heightAboveGround 10 20250108 0 \n", - "296 ecmf 10u heightAboveGround 10 20250108 0 \n", - "297 ecmf 10v heightAboveGround 10 20250108 0 \n", - "298 ecmf 10v heightAboveGround 10 20250108 0 \n", - "299 ecmf 10v heightAboveGround 10 20250108 0 \n", - "300 ecmf 10v heightAboveGround 10 20250108 0 \n", - "301 ecmf tp surface 0 20250108 0 \n", - "302 ecmf tp surface 0 20250108 0 \n", - "303 ecmf tp surface 0 20250108 0 \n", - "304 ecmf tp surface 0 20250108 0 \n", - "305 ecmf tp surface 0 20250108 0 \n", + "0 ecmf 10u heightAboveGround 10 20250226 0 \n", + "1 ecmf tp surface 0 20250226 0 \n", + "2 ecmf tp surface 0 20250226 0 \n", + "3 ecmf tp surface 0 20250226 0 \n", + "4 ecmf 10u heightAboveGround 10 20250226 0 \n", + "5 ecmf 10u heightAboveGround 10 20250226 0 \n", + "6 ecmf tp surface 0 20250226 0 \n", + "7 ecmf 10u heightAboveGround 10 20250226 0 \n", + "8 ecmf 10u heightAboveGround 10 20250226 0 \n", + "9 ecmf 10u heightAboveGround 10 20250226 0 \n", + "10 ecmf tp surface 0 20250226 0 \n", + "11 ecmf 10u heightAboveGround 10 20250226 0 \n", + "12 ecmf tp surface 0 20250226 0 \n", + "13 ecmf 10u heightAboveGround 10 20250226 0 \n", + "14 ecmf 10u heightAboveGround 10 20250226 0 \n", + "15 ecmf tp surface 0 20250226 0 \n", + "16 ecmf 10u heightAboveGround 10 20250226 0 \n", + "17 ecmf tp surface 0 20250226 0 \n", + "18 ecmf 10v heightAboveGround 10 20250226 0 \n", + "19 ecmf 10v heightAboveGround 10 20250226 0 \n", + "20 ecmf tp surface 0 20250226 0 \n", + "21 ecmf 10v heightAboveGround 10 20250226 0 \n", + "22 ecmf 10v heightAboveGround 10 20250226 0 \n", + "23 ecmf tp surface 0 20250226 0 \n", + "24 ecmf tp surface 0 20250226 0 \n", + "25 ecmf 10v heightAboveGround 10 20250226 0 \n", + "26 ecmf 10v heightAboveGround 10 20250226 0 \n", + "27 ecmf 10v heightAboveGround 10 20250226 0 \n", + "28 ecmf 10v heightAboveGround 10 20250226 0 \n", + "29 ecmf 10v heightAboveGround 10 20250226 0 \n", + "30 ecmf 10v heightAboveGround 10 20250226 0 \n", + "31 ecmf 10u heightAboveGround 10 20250226 0 \n", + "32 ecmf tp surface 0 20250226 0 \n", + "33 ecmf tp surface 0 20250226 0 \n", + "34 ecmf 10u heightAboveGround 10 20250226 0 \n", + "35 ecmf 10u heightAboveGround 10 20250226 0 \n", + "36 ecmf tp surface 0 20250226 0 \n", + "37 ecmf 10u heightAboveGround 10 20250226 0 \n", + "38 ecmf 10u heightAboveGround 10 20250226 0 \n", + "39 ecmf 10u heightAboveGround 10 20250226 0 \n", + "40 ecmf tp surface 0 20250226 0 \n", + "41 ecmf tp surface 0 20250226 0 \n", + "42 ecmf 10u heightAboveGround 10 20250226 0 \n", + "43 ecmf 10u heightAboveGround 10 20250226 0 \n", + "44 ecmf 10u heightAboveGround 10 20250226 0 \n", + "45 ecmf tp surface 0 20250226 0 \n", + "46 ecmf 10u heightAboveGround 10 20250226 0 \n", + "47 ecmf tp surface 0 20250226 0 \n", + "48 ecmf tp surface 0 20250226 0 \n", + "49 ecmf 10v heightAboveGround 10 20250226 0 \n", + "50 ecmf 10v heightAboveGround 10 20250226 0 \n", + "51 ecmf 10u heightAboveGround 10 20250226 0 \n", + "52 ecmf tp surface 0 20250226 0 \n", + "53 ecmf 10v heightAboveGround 10 20250226 0 \n", + "54 ecmf tp surface 0 20250226 0 \n", + "55 ecmf 10v heightAboveGround 10 20250226 0 \n", + "56 ecmf tp surface 0 20250226 0 \n", + "57 ecmf 10v heightAboveGround 10 20250226 0 \n", + "58 ecmf 10v heightAboveGround 10 20250226 0 \n", + "59 ecmf 10v heightAboveGround 10 20250226 0 \n", + "60 ecmf 10v heightAboveGround 10 20250226 0 \n", + "61 ecmf 10v heightAboveGround 10 20250226 0 \n", + "62 ecmf 10v heightAboveGround 10 20250226 0 \n", + "63 ecmf 10v heightAboveGround 10 20250226 0 \n", + "64 ecmf 10u heightAboveGround 10 20250226 0 \n", + "65 ecmf 10u heightAboveGround 10 20250226 0 \n", + "66 ecmf 10u heightAboveGround 10 20250226 0 \n", + "67 ecmf 10u heightAboveGround 10 20250226 0 \n", + "68 ecmf 10u heightAboveGround 10 20250226 0 \n", + "69 ecmf 10u heightAboveGround 10 20250226 0 \n", + "70 ecmf 10u heightAboveGround 10 20250226 0 \n", + "71 ecmf 10u heightAboveGround 10 20250226 0 \n", + "72 ecmf 10u heightAboveGround 10 20250226 0 \n", + "73 ecmf 10u heightAboveGround 10 20250226 0 \n", + "74 ecmf 10u heightAboveGround 10 20250226 0 \n", + "75 ecmf 10v heightAboveGround 10 20250226 0 \n", + "76 ecmf 10v heightAboveGround 10 20250226 0 \n", + "77 ecmf 10v heightAboveGround 10 20250226 0 \n", + "78 ecmf 10v heightAboveGround 10 20250226 0 \n", + "79 ecmf 10v heightAboveGround 10 20250226 0 \n", + "80 ecmf 10v heightAboveGround 10 20250226 0 \n", + "81 ecmf 10v heightAboveGround 10 20250226 0 \n", + "82 ecmf 10v heightAboveGround 10 20250226 0 \n", + "83 ecmf 10v heightAboveGround 10 20250226 0 \n", + "84 ecmf 10v heightAboveGround 10 20250226 0 \n", + "85 ecmf tp surface 0 20250226 0 \n", + "86 ecmf 10v heightAboveGround 10 20250226 0 \n", + "87 ecmf tp surface 0 20250226 0 \n", + "88 ecmf tp surface 0 20250226 0 \n", + "89 ecmf tp surface 0 20250226 0 \n", + "90 ecmf tp surface 0 20250226 0 \n", + "91 ecmf tp surface 0 20250226 0 \n", + "92 ecmf tp surface 0 20250226 0 \n", + "93 ecmf tp surface 0 20250226 0 \n", + "94 ecmf tp surface 0 20250226 0 \n", + "95 ecmf 10u heightAboveGround 10 20250226 0 \n", + "96 ecmf 10u heightAboveGround 10 20250226 0 \n", + "97 ecmf 10u heightAboveGround 10 20250226 0 \n", + "98 ecmf 10v heightAboveGround 10 20250226 0 \n", + "99 ecmf 10u heightAboveGround 10 20250226 0 \n", + "100 ecmf 10u heightAboveGround 10 20250226 0 \n", + "101 ecmf 10u heightAboveGround 10 20250226 0 \n", + "102 ecmf 10u heightAboveGround 10 20250226 0 \n", + "103 ecmf 10u heightAboveGround 10 20250226 0 \n", + "104 ecmf 10u heightAboveGround 10 20250226 0 \n", + "105 ecmf 10v heightAboveGround 10 20250226 0 \n", + "106 ecmf 10v heightAboveGround 10 20250226 0 \n", + "107 ecmf 10u heightAboveGround 10 20250226 0 \n", + "108 ecmf 10u heightAboveGround 10 20250226 0 \n", + "109 ecmf 10v heightAboveGround 10 20250226 0 \n", + "110 ecmf 10v heightAboveGround 10 20250226 0 \n", + "111 ecmf 10v heightAboveGround 10 20250226 0 \n", + "112 ecmf 10v heightAboveGround 10 20250226 0 \n", + "113 ecmf 10v heightAboveGround 10 20250226 0 \n", + "114 ecmf 10v heightAboveGround 10 20250226 0 \n", + "115 ecmf tp surface 0 20250226 0 \n", + "116 ecmf tp surface 0 20250226 0 \n", + "117 ecmf 10v heightAboveGround 10 20250226 0 \n", + "118 ecmf tp surface 0 20250226 0 \n", + "119 ecmf 10v heightAboveGround 10 20250226 0 \n", + "120 ecmf tp surface 0 20250226 0 \n", + "121 ecmf tp surface 0 20250226 0 \n", + "122 ecmf tp surface 0 20250226 0 \n", + "123 ecmf tp surface 0 20250226 0 \n", + "124 ecmf tp surface 0 20250226 0 \n", + "125 ecmf tp surface 0 20250226 0 \n", + "126 ecmf tp surface 0 20250226 0 \n", + "127 ecmf 10u heightAboveGround 10 20250226 0 \n", + "128 ecmf 10v heightAboveGround 10 20250226 0 \n", + "129 ecmf tp surface 0 20250226 0 \n", + "130 ecmf 10u heightAboveGround 10 20250226 0 \n", + "131 ecmf tp surface 0 20250226 0 \n", + "132 ecmf 10v heightAboveGround 10 20250226 0 \n", + "133 ecmf 10u heightAboveGround 10 20250226 0 \n", + "134 ecmf 10v heightAboveGround 10 20250226 0 \n", + "135 ecmf tp surface 0 20250226 0 \n", + "136 ecmf 10u heightAboveGround 10 20250226 0 \n", + "137 ecmf 10v heightAboveGround 10 20250226 0 \n", + "138 ecmf tp surface 0 20250226 0 \n", + "139 ecmf 10u heightAboveGround 10 20250226 0 \n", + "140 ecmf 10v heightAboveGround 10 20250226 0 \n", + "141 ecmf 10u heightAboveGround 10 20250226 0 \n", + "142 ecmf tp surface 0 20250226 0 \n", + "143 ecmf 10v heightAboveGround 10 20250226 0 \n", + "144 ecmf 10u heightAboveGround 10 20250226 0 \n", + "145 ecmf tp surface 0 20250226 0 \n", + "146 ecmf 10v heightAboveGround 10 20250226 0 \n", + "147 ecmf tp surface 0 20250226 0 \n", + "148 ecmf tp surface 0 20250226 0 \n", + "149 ecmf 10u heightAboveGround 10 20250226 0 \n", + "150 ecmf tp surface 0 20250226 0 \n", + "151 ecmf 10v heightAboveGround 10 20250226 0 \n", + "152 ecmf tp surface 0 20250226 0 \n", + "153 ecmf 10u heightAboveGround 10 20250226 0 \n", + "154 ecmf 10u heightAboveGround 10 20250226 0 \n", + "155 ecmf 10u heightAboveGround 10 20250226 0 \n", + "156 ecmf 10u heightAboveGround 10 20250226 0 \n", + "157 ecmf 10u heightAboveGround 10 20250226 0 \n", + "158 ecmf 10u heightAboveGround 10 20250226 0 \n", + "159 ecmf 10u heightAboveGround 10 20250226 0 \n", + "160 ecmf 10u heightAboveGround 10 20250226 0 \n", + "161 ecmf tp surface 0 20250226 0 \n", + "162 ecmf tp surface 0 20250226 0 \n", + "163 ecmf 10u heightAboveGround 10 20250226 0 \n", + "164 ecmf tp surface 0 20250226 0 \n", + "165 ecmf 10u heightAboveGround 10 20250226 0 \n", + "166 ecmf tp surface 0 20250226 0 \n", + "167 ecmf tp surface 0 20250226 0 \n", + "168 ecmf tp surface 0 20250226 0 \n", + "169 ecmf tp surface 0 20250226 0 \n", + "170 ecmf tp surface 0 20250226 0 \n", + "171 ecmf tp surface 0 20250226 0 \n", + "172 ecmf tp surface 0 20250226 0 \n", + "173 ecmf 10v heightAboveGround 10 20250226 0 \n", + "174 ecmf 10v heightAboveGround 10 20250226 0 \n", + "175 ecmf 10v heightAboveGround 10 20250226 0 \n", + "176 ecmf 10v heightAboveGround 10 20250226 0 \n", + "177 ecmf 10v heightAboveGround 10 20250226 0 \n", + "178 ecmf 10v heightAboveGround 10 20250226 0 \n", + "179 ecmf 10v heightAboveGround 10 20250226 0 \n", + "180 ecmf tp surface 0 20250226 0 \n", + "181 ecmf 10v heightAboveGround 10 20250226 0 \n", + "182 ecmf 10v heightAboveGround 10 20250226 0 \n", + "183 ecmf 10v heightAboveGround 10 20250226 0 \n", + "184 ecmf 10u heightAboveGround 10 20250226 0 \n", + "185 ecmf 10u heightAboveGround 10 20250226 0 \n", + "186 ecmf 10u heightAboveGround 10 20250226 0 \n", + "187 ecmf 10u heightAboveGround 10 20250226 0 \n", + "188 ecmf 10u heightAboveGround 10 20250226 0 \n", + "189 ecmf tp surface 0 20250226 0 \n", + "190 ecmf 10u heightAboveGround 10 20250226 0 \n", + "191 ecmf 10u heightAboveGround 10 20250226 0 \n", + "192 ecmf 10u heightAboveGround 10 20250226 0 \n", + "193 ecmf 10u heightAboveGround 10 20250226 0 \n", + "194 ecmf 10u heightAboveGround 10 20250226 0 \n", + "195 ecmf tp surface 0 20250226 0 \n", + "196 ecmf 10u heightAboveGround 10 20250226 0 \n", + "197 ecmf 10v heightAboveGround 10 20250226 0 \n", + "198 ecmf tp surface 0 20250226 0 \n", + "199 ecmf tp surface 0 20250226 0 \n", + "200 ecmf tp surface 0 20250226 0 \n", + "201 ecmf tp surface 0 20250226 0 \n", + "202 ecmf tp surface 0 20250226 0 \n", + "203 ecmf tp surface 0 20250226 0 \n", + "204 ecmf 10v heightAboveGround 10 20250226 0 \n", + "205 ecmf 10v heightAboveGround 10 20250226 0 \n", + "206 ecmf 10v heightAboveGround 10 20250226 0 \n", + "207 ecmf tp surface 0 20250226 0 \n", + "208 ecmf 10v heightAboveGround 10 20250226 0 \n", + "209 ecmf 10v heightAboveGround 10 20250226 0 \n", + "210 ecmf 10v heightAboveGround 10 20250226 0 \n", + "211 ecmf tp surface 0 20250226 0 \n", + "212 ecmf 10v heightAboveGround 10 20250226 0 \n", + "213 ecmf 10v heightAboveGround 10 20250226 0 \n", + "214 ecmf 10v heightAboveGround 10 20250226 0 \n", + "215 ecmf tp surface 0 20250226 0 \n", + "216 ecmf 10v heightAboveGround 10 20250226 0 \n", + "217 ecmf 10u heightAboveGround 10 20250226 0 \n", + "218 ecmf 10u heightAboveGround 10 20250226 0 \n", + "219 ecmf 10u heightAboveGround 10 20250226 0 \n", + "220 ecmf 10u heightAboveGround 10 20250226 0 \n", + "221 ecmf 10u heightAboveGround 10 20250226 0 \n", + "222 ecmf 10u heightAboveGround 10 20250226 0 \n", + "223 ecmf 10u heightAboveGround 10 20250226 0 \n", + "224 ecmf 10u heightAboveGround 10 20250226 0 \n", + "225 ecmf 10u heightAboveGround 10 20250226 0 \n", + "226 ecmf 10u heightAboveGround 10 20250226 0 \n", + "227 ecmf 10u heightAboveGround 10 20250226 0 \n", + "228 ecmf 10v heightAboveGround 10 20250226 0 \n", + "229 ecmf 10v heightAboveGround 10 20250226 0 \n", + "230 ecmf 10v heightAboveGround 10 20250226 0 \n", + "231 ecmf 10v heightAboveGround 10 20250226 0 \n", + "232 ecmf 10v heightAboveGround 10 20250226 0 \n", + "233 ecmf 10v heightAboveGround 10 20250226 0 \n", + "234 ecmf 10v heightAboveGround 10 20250226 0 \n", + "235 ecmf 10v heightAboveGround 10 20250226 0 \n", + "236 ecmf 10v heightAboveGround 10 20250226 0 \n", + "237 ecmf 10v heightAboveGround 10 20250226 0 \n", + "238 ecmf 10v heightAboveGround 10 20250226 0 \n", + "239 ecmf tp surface 0 20250226 0 \n", + "240 ecmf tp surface 0 20250226 0 \n", + "241 ecmf tp surface 0 20250226 0 \n", + "242 ecmf tp surface 0 20250226 0 \n", + "243 ecmf tp surface 0 20250226 0 \n", + "244 ecmf tp surface 0 20250226 0 \n", + "245 ecmf tp surface 0 20250226 0 \n", + "246 ecmf tp surface 0 20250226 0 \n", + "247 ecmf tp surface 0 20250226 0 \n", + "248 ecmf 10u heightAboveGround 10 20250226 0 \n", + "249 ecmf 10u heightAboveGround 10 20250226 0 \n", + "250 ecmf 10u heightAboveGround 10 20250226 0 \n", + "251 ecmf 10v heightAboveGround 10 20250226 0 \n", + "252 ecmf 10u heightAboveGround 10 20250226 0 \n", + "253 ecmf 10u heightAboveGround 10 20250226 0 \n", + "254 ecmf 10u heightAboveGround 10 20250226 0 \n", + "255 ecmf 10u heightAboveGround 10 20250226 0 \n", + "256 ecmf 10u heightAboveGround 10 20250226 0 \n", + "257 ecmf 10u heightAboveGround 10 20250226 0 \n", + "258 ecmf 10u heightAboveGround 10 20250226 0 \n", + "259 ecmf 10v heightAboveGround 10 20250226 0 \n", + "260 ecmf 10u heightAboveGround 10 20250226 0 \n", + "261 ecmf 10v heightAboveGround 10 20250226 0 \n", + "262 ecmf 10v heightAboveGround 10 20250226 0 \n", + "263 ecmf 10v heightAboveGround 10 20250226 0 \n", + "264 ecmf 10v heightAboveGround 10 20250226 0 \n", + "265 ecmf 10v heightAboveGround 10 20250226 0 \n", + "266 ecmf 10v heightAboveGround 10 20250226 0 \n", + "267 ecmf 10v heightAboveGround 10 20250226 0 \n", + "268 ecmf 10v heightAboveGround 10 20250226 0 \n", + "269 ecmf tp surface 0 20250226 0 \n", + "270 ecmf tp surface 0 20250226 0 \n", + "271 ecmf tp surface 0 20250226 0 \n", + "272 ecmf 10v heightAboveGround 10 20250226 0 \n", + "273 ecmf tp surface 0 20250226 0 \n", + "274 ecmf tp surface 0 20250226 0 \n", + "275 ecmf tp surface 0 20250226 0 \n", + "276 ecmf tp surface 0 20250226 0 \n", + "277 ecmf tp surface 0 20250226 0 \n", + "278 ecmf tp surface 0 20250226 0 \n", + "279 ecmf tp surface 0 20250226 0 \n", + "280 ecmf 10u heightAboveGround 10 20250226 0 \n", + "281 ecmf 10v heightAboveGround 10 20250226 0 \n", + "282 ecmf 10u heightAboveGround 10 20250226 0 \n", + "283 ecmf tp surface 0 20250226 0 \n", + "284 ecmf 10v heightAboveGround 10 20250226 0 \n", + "285 ecmf tp surface 0 20250226 0 \n", + "286 ecmf 10u heightAboveGround 10 20250226 0 \n", + "287 ecmf 10v heightAboveGround 10 20250226 0 \n", + "288 ecmf 10u heightAboveGround 10 20250226 0 \n", + "289 ecmf tp surface 0 20250226 0 \n", + "290 ecmf 10v heightAboveGround 10 20250226 0 \n", + "291 ecmf tp surface 0 20250226 0 \n", + "292 ecmf 10u heightAboveGround 10 20250226 0 \n", + "293 ecmf 10v heightAboveGround 10 20250226 0 \n", + "294 ecmf 10u heightAboveGround 10 20250226 0 \n", + "295 ecmf tp surface 0 20250226 0 \n", + "296 ecmf 10v heightAboveGround 10 20250226 0 \n", + "297 ecmf 10u heightAboveGround 10 20250226 0 \n", + "298 ecmf tp surface 0 20250226 0 \n", + "299 ecmf 10v heightAboveGround 10 20250226 0 \n", + "300 ecmf tp surface 0 20250226 0 \n", + "301 ecmf 10u heightAboveGround 10 20250226 0 \n", + "302 ecmf tp surface 0 20250226 0 \n", + "303 ecmf tp surface 0 20250226 0 \n", + "304 ecmf 10v heightAboveGround 10 20250226 0 \n", + "305 ecmf tp surface 0 20250226 0 \n", "\n", " stepRange dataType number gridType \n", "Message \n", - "0 0-21 pf 14 regular_ll \n", - "1 21 pf 23 regular_ll \n", - "2 21 pf 50 regular_ll \n", - "3 21 pf 6 regular_ll \n", - "4 21 pf 33 regular_ll \n", - "5 21 pf 32 regular_ll \n", - "6 0-21 pf 23 regular_ll \n", - "7 21 pf 42 regular_ll \n", - "8 0-21 pf 50 regular_ll \n", - "9 0-21 pf 41 regular_ll \n", - "10 0-21 pf 32 regular_ll \n", - "11 21 pf 15 regular_ll \n", - "12 21 pf 24 regular_ll \n", - "13 21 pf 41 regular_ll \n", - "14 21 pf 14 regular_ll \n", - "15 0-21 pf 15 regular_ll \n", - "16 0-21 pf 24 regular_ll \n", - "17 0-21 pf 33 regular_ll \n", - "18 0-21 pf 42 regular_ll \n", - "19 0-21 pf 6 regular_ll \n", - "20 21 pf 6 regular_ll \n", - "21 21 pf 24 regular_ll \n", - "22 21 pf 42 regular_ll \n", - "23 21 pf 33 regular_ll \n", - "24 21 pf 16 regular_ll \n", - "25 21 pf 15 regular_ll \n", - "26 0-21 pf 34 regular_ll \n", - "27 0-21 pf 7 regular_ll \n", - "28 0-21 pf 25 regular_ll \n", - "29 0-21 pf 16 regular_ll \n", - "30 0-21 pf 43 regular_ll \n", - "31 21 pf 7 regular_ll \n", - "32 21 pf 43 regular_ll \n", - "33 21 pf 34 regular_ll \n", - "34 21 pf 25 regular_ll \n", - "35 21 pf 35 regular_ll \n", - "36 0-21 pf 26 regular_ll \n", - "37 0-21 pf 17 regular_ll \n", - "38 0-21 pf 35 regular_ll \n", - "39 21 pf 17 regular_ll \n", - "40 21 pf 44 regular_ll \n", - "41 21 pf 8 regular_ll \n", - "42 21 pf 26 regular_ll \n", - "43 0-21 pf 8 regular_ll \n", - "44 21 pf 34 regular_ll \n", - "45 0-21 pf 44 regular_ll \n", - "46 21 pf 7 regular_ll \n", - "47 21 pf 16 regular_ll \n", - "48 21 pf 43 regular_ll \n", - "49 21 pf 18 regular_ll \n", - "50 21 pf 25 regular_ll \n", - "51 21 pf 17 regular_ll \n", - "52 21 pf 44 regular_ll \n", - "53 21 pf 9 regular_ll \n", - "54 21 pf 35 regular_ll \n", - "55 21 pf 45 regular_ll \n", - "56 21 pf 27 regular_ll \n", - "57 21 pf 36 regular_ll \n", - "58 21 pf 8 regular_ll \n", - "59 21 pf 26 regular_ll \n", - "60 0-21 pf 18 regular_ll \n", - "61 0-21 pf 9 regular_ll \n", - "62 0-21 pf 27 regular_ll \n", - "63 0-21 pf 45 regular_ll \n", - "64 0-21 pf 36 regular_ll \n", - "65 21 pf 1 regular_ll \n", - "66 21 pf 18 regular_ll \n", + "0 21 pf 35 regular_ll \n", + "1 0-21 pf 36 regular_ll \n", + "2 0-21 pf 21 regular_ll \n", + "3 0-21 pf 18 regular_ll \n", + "4 21 pf 20 regular_ll \n", + "5 21 pf 39 regular_ll \n", + "6 0-21 pf 4 regular_ll \n", + "7 21 pf 17 regular_ll \n", + "8 21 pf 28 regular_ll \n", + "9 21 pf 24 regular_ll \n", + "10 0-21 pf 25 regular_ll \n", + "11 21 pf 31 regular_ll \n", + "12 0-21 pf 32 regular_ll \n", + "13 21 pf 13 regular_ll \n", + "14 21 pf 5 regular_ll \n", + "15 0-21 pf 9 regular_ll \n", + "16 21 pf 1 regular_ll \n", + "17 0-21 pf 29 regular_ll \n", + "18 21 pf 35 regular_ll \n", + "19 21 pf 39 regular_ll \n", + "20 0-21 pf 50 regular_ll \n", + "21 21 pf 20 regular_ll \n", + "22 21 pf 17 regular_ll \n", + "23 0-21 pf 14 regular_ll \n", + "24 0-21 pf 10 regular_ll \n", + "25 21 pf 28 regular_ll \n", + "26 21 pf 24 regular_ll \n", + "27 21 pf 5 regular_ll \n", + "28 21 pf 31 regular_ll \n", + "29 21 pf 1 regular_ll \n", + "30 21 pf 13 regular_ll \n", + "31 21 pf 36 regular_ll \n", + "32 0-21 pf 37 regular_ll \n", + "33 0-21 pf 22 regular_ll \n", + "34 21 pf 14 regular_ll \n", + "35 21 pf 4 regular_ll \n", + "36 0-21 pf 40 regular_ll \n", + "37 21 pf 18 regular_ll \n", + "38 21 pf 29 regular_ll \n", + "39 21 pf 9 regular_ll \n", + "40 0-21 pf 15 regular_ll \n", + "41 0-21 pf 3 regular_ll \n", + "42 21 pf 10 regular_ll \n", + "43 21 pf 32 regular_ll \n", + "44 21 pf 50 regular_ll \n", + "45 0-21 pf 19 regular_ll \n", + "46 21 pf 25 regular_ll \n", + "47 0-21 pf 26 regular_ll \n", + "48 0-21 pf 33 regular_ll \n", + "49 21 pf 36 regular_ll \n", + "50 21 pf 14 regular_ll \n", + "51 21 pf 21 regular_ll \n", + "52 0-21 cf 0 regular_ll \n", + "53 21 pf 4 regular_ll \n", + "54 0-21 pf 6 regular_ll \n", + "55 21 pf 18 regular_ll \n", + "56 0-21 pf 11 regular_ll \n", + "57 21 pf 29 regular_ll \n", + "58 21 pf 9 regular_ll \n", + "59 21 pf 10 regular_ll \n", + "60 21 pf 32 regular_ll \n", + "61 21 pf 50 regular_ll \n", + "62 21 pf 25 regular_ll \n", + "63 21 pf 21 regular_ll \n", + "64 21 cf 0 regular_ll \n", + "65 21 pf 3 regular_ll \n", + "66 21 pf 22 regular_ll \n", "67 21 pf 19 regular_ll \n", - "68 21 cf 0 regular_ll \n", - "69 21 pf 9 regular_ll \n", - "70 21 pf 37 regular_ll \n", - "71 21 pf 45 regular_ll \n", - "72 21 pf 27 regular_ll \n", - "73 21 pf 36 regular_ll \n", - "74 21 pf 28 regular_ll \n", - "75 0-21 pf 19 regular_ll \n", - "76 0-21 pf 1 regular_ll \n", - "77 0-21 pf 28 regular_ll \n", - "78 21 pf 46 regular_ll \n", - "79 0-21 cf 0 regular_ll \n", - "80 0-21 pf 37 regular_ll \n", - "81 21 pf 1 regular_ll \n", - "82 0-21 pf 46 regular_ll \n", - "83 21 pf 37 regular_ll \n", - "84 21 pf 28 regular_ll \n", - "85 21 pf 19 regular_ll \n", - "86 21 pf 38 regular_ll \n", - "87 21 pf 29 regular_ll \n", - "88 21 cf 0 regular_ll \n", - "89 21 pf 46 regular_ll \n", - "90 21 pf 10 regular_ll \n", - "91 21 pf 47 regular_ll \n", - "92 21 pf 2 regular_ll \n", - "93 0-21 pf 2 regular_ll \n", - "94 0-21 pf 38 regular_ll \n", - "95 0-21 pf 29 regular_ll \n", - "96 21 pf 29 regular_ll \n", - "97 0-21 pf 10 regular_ll \n", - "98 21 pf 38 regular_ll \n", - "99 21 pf 20 regular_ll \n", - "100 21 pf 47 regular_ll \n", - "101 21 pf 39 regular_ll \n", - "102 21 pf 21 regular_ll \n", - "103 21 pf 10 regular_ll \n", - "104 0-21 pf 47 regular_ll \n", - "105 21 pf 48 regular_ll \n", - "106 0-21 pf 11 regular_ll \n", - "107 0-21 pf 3 regular_ll \n", - "108 0-21 pf 48 regular_ll \n", - "109 0-21 pf 20 regular_ll \n", - "110 21 pf 11 regular_ll \n", - "111 21 pf 3 regular_ll \n", - "112 21 pf 49 regular_ll \n", - "113 21 pf 2 regular_ll \n", - "114 21 pf 12 regular_ll \n", - "115 21 pf 4 regular_ll \n", - "116 21 pf 31 regular_ll \n", - "117 21 pf 30 regular_ll \n", - "118 21 pf 5 regular_ll \n", - "119 21 pf 48 regular_ll \n", - "120 21 pf 13 regular_ll \n", - "121 21 pf 40 regular_ll \n", - "122 21 pf 39 regular_ll \n", - "123 0-21 pf 39 regular_ll \n", - "124 21 pf 11 regular_ll \n", - "125 21 pf 20 regular_ll \n", - "126 21 pf 4 regular_ll \n", - "127 21 pf 21 regular_ll \n", - "128 21 pf 3 regular_ll \n", - "129 21 pf 49 regular_ll \n", - "130 21 pf 22 regular_ll \n", - "131 21 pf 12 regular_ll \n", - "132 21 pf 30 regular_ll \n", - "133 21 pf 31 regular_ll \n", - "134 21 pf 5 regular_ll \n", - "135 21 pf 23 regular_ll \n", - "136 21 pf 41 regular_ll \n", - "137 0-21 pf 49 regular_ll \n", - "138 0-21 pf 4 regular_ll \n", - "139 21 pf 13 regular_ll \n", - "140 21 pf 50 regular_ll \n", - "141 0-21 pf 30 regular_ll \n", - "142 0-21 pf 12 regular_ll \n", - "143 21 pf 22 regular_ll \n", - "144 21 pf 40 regular_ll \n", - "145 0-21 pf 21 regular_ll \n", - "146 21 pf 14 regular_ll \n", - "147 21 pf 32 regular_ll \n", - "148 0-21 pf 5 regular_ll \n", - "149 0-21 pf 13 regular_ll \n", - "150 0-21 pf 22 regular_ll \n", - "151 0-21 pf 40 regular_ll \n", - "152 0-21 pf 31 regular_ll \n", - "153 0-24 pf 14 regular_ll \n", - "154 0-24 pf 41 regular_ll \n", - "155 0-24 pf 23 regular_ll \n", - "156 24 pf 42 regular_ll \n", - "157 0-24 pf 32 regular_ll \n", - "158 0-24 pf 50 regular_ll \n", - "159 24 pf 6 regular_ll \n", - "160 24 pf 24 regular_ll \n", - "161 24 pf 41 regular_ll \n", - "162 24 pf 14 regular_ll \n", - "163 24 pf 32 regular_ll \n", - "164 24 pf 33 regular_ll \n", - "165 24 pf 50 regular_ll \n", - "166 0-24 pf 33 regular_ll \n", - "167 24 pf 15 regular_ll \n", - "168 24 pf 23 regular_ll \n", - "169 0-24 pf 42 regular_ll \n", - "170 0-24 pf 15 regular_ll \n", - "171 0-24 pf 24 regular_ll \n", - "172 0-24 pf 6 regular_ll \n", - "173 0-24 pf 7 regular_ll \n", - "174 24 pf 42 regular_ll \n", - "175 24 pf 34 regular_ll \n", - "176 0-24 pf 25 regular_ll \n", - "177 0-24 pf 34 regular_ll \n", - "178 0-24 pf 16 regular_ll \n", - "179 24 pf 15 regular_ll \n", - "180 24 pf 6 regular_ll \n", - "181 24 pf 24 regular_ll \n", - "182 0-24 pf 43 regular_ll \n", - "183 24 pf 8 regular_ll \n", - "184 24 pf 44 regular_ll \n", - "185 24 pf 33 regular_ll \n", - "186 24 pf 25 regular_ll \n", - "187 24 pf 43 regular_ll \n", - "188 24 pf 16 regular_ll \n", - "189 24 pf 35 regular_ll \n", - "190 24 pf 7 regular_ll \n", - "191 24 pf 26 regular_ll \n", - "192 0-24 pf 35 regular_ll \n", - "193 24 pf 17 regular_ll \n", - "194 0-24 pf 26 regular_ll \n", - "195 24 pf 43 regular_ll \n", - "196 0-24 pf 44 regular_ll \n", - "197 0-24 pf 17 regular_ll \n", - "198 24 pf 7 regular_ll \n", - "199 0-24 pf 8 regular_ll \n", - "200 24 pf 25 regular_ll \n", - "201 24 pf 34 regular_ll \n", - "202 24 pf 16 regular_ll \n", - "203 24 pf 36 regular_ll \n", - "204 24 pf 8 regular_ll \n", - "205 24 pf 44 regular_ll \n", - "206 24 pf 35 regular_ll \n", - "207 24 pf 26 regular_ll \n", - "208 24 pf 45 regular_ll \n", - "209 0-24 pf 9 regular_ll \n", - "210 24 pf 9 regular_ll \n", - "211 24 pf 17 regular_ll \n", - "212 24 pf 27 regular_ll \n", - "213 0-24 pf 45 regular_ll \n", - "214 0-24 pf 27 regular_ll \n", - "215 24 pf 18 regular_ll \n", - "216 0-24 pf 18 regular_ll \n", - "217 0-24 pf 36 regular_ll \n", - "218 24 pf 36 regular_ll \n", - "219 0-24 pf 37 regular_ll \n", - "220 24 pf 45 regular_ll \n", - "221 24 pf 18 regular_ll \n", - "222 24 cf 0 regular_ll \n", - "223 24 pf 9 regular_ll \n", - "224 24 pf 1 regular_ll \n", - "225 24 pf 28 regular_ll \n", - "226 24 pf 27 regular_ll \n", - "227 0-24 pf 19 regular_ll \n", - "228 0-24 cf 0 regular_ll \n", + "68 21 pf 15 regular_ll \n", + "69 21 pf 11 regular_ll \n", + "70 21 pf 6 regular_ll \n", + "71 21 pf 26 regular_ll \n", + "72 21 pf 33 regular_ll \n", + "73 21 pf 37 regular_ll \n", + "74 21 pf 40 regular_ll \n", + "75 21 pf 22 regular_ll \n", + "76 21 pf 19 regular_ll \n", + "77 21 pf 3 regular_ll \n", + "78 21 pf 15 regular_ll \n", + "79 21 pf 11 regular_ll \n", + "80 21 cf 0 regular_ll \n", + "81 21 pf 6 regular_ll \n", + "82 21 pf 26 regular_ll \n", + "83 21 pf 33 regular_ll \n", + "84 21 pf 37 regular_ll \n", + "85 0-21 pf 49 regular_ll \n", + "86 21 pf 40 regular_ll \n", + "87 0-21 pf 38 regular_ll \n", + "88 0-21 pf 12 regular_ll \n", + "89 0-21 pf 34 regular_ll \n", + "90 0-21 pf 2 regular_ll \n", + "91 0-21 pf 16 regular_ll \n", + "92 0-21 pf 23 regular_ll \n", + "93 0-21 pf 30 regular_ll \n", + "94 0-21 pf 27 regular_ll \n", + "95 21 pf 16 regular_ll \n", + "96 21 pf 12 regular_ll \n", + "97 21 pf 2 regular_ll \n", + "98 21 pf 16 regular_ll \n", + "99 21 pf 38 regular_ll \n", + "100 21 pf 30 regular_ll \n", + "101 21 pf 23 regular_ll \n", + "102 21 pf 41 regular_ll \n", + "103 21 pf 27 regular_ll \n", + "104 21 pf 49 regular_ll \n", + "105 21 pf 12 regular_ll \n", + "106 21 pf 2 regular_ll \n", + "107 21 pf 34 regular_ll \n", + "108 21 pf 7 regular_ll \n", + "109 21 pf 38 regular_ll \n", + "110 21 pf 30 regular_ll \n", + "111 21 pf 41 regular_ll \n", + "112 21 pf 23 regular_ll \n", + "113 21 pf 49 regular_ll \n", + "114 21 pf 27 regular_ll \n", + "115 0-21 pf 39 regular_ll \n", + "116 0-21 pf 35 regular_ll \n", + "117 21 pf 34 regular_ll \n", + "118 0-21 pf 20 regular_ll \n", + "119 21 pf 7 regular_ll \n", + "120 0-21 pf 17 regular_ll \n", + "121 0-21 pf 28 regular_ll \n", + "122 0-21 pf 24 regular_ll \n", + "123 0-21 pf 5 regular_ll \n", + "124 0-21 pf 1 regular_ll \n", + "125 0-21 pf 13 regular_ll \n", + "126 0-21 pf 31 regular_ll \n", + "127 21 pf 8 regular_ll \n", + "128 21 pf 8 regular_ll \n", + "129 0-21 pf 43 regular_ll \n", + "130 21 pf 42 regular_ll \n", + "131 0-21 pf 47 regular_ll \n", + "132 21 pf 42 regular_ll \n", + "133 21 pf 43 regular_ll \n", + "134 21 pf 43 regular_ll \n", + "135 0-21 pf 44 regular_ll \n", + "136 21 pf 47 regular_ll \n", + "137 21 pf 47 regular_ll \n", + "138 0-21 pf 48 regular_ll \n", + "139 21 pf 46 regular_ll \n", + "140 21 pf 46 regular_ll \n", + "141 21 pf 44 regular_ll \n", + "142 0-21 pf 7 regular_ll \n", + "143 21 pf 44 regular_ll \n", + "144 21 pf 48 regular_ll \n", + "145 0-21 pf 41 regular_ll \n", + "146 21 pf 48 regular_ll \n", + "147 0-21 pf 45 regular_ll \n", + "148 0-21 pf 8 regular_ll \n", + "149 21 pf 45 regular_ll \n", + "150 0-21 pf 42 regular_ll \n", + "151 21 pf 45 regular_ll \n", + "152 0-21 pf 46 regular_ll \n", + "153 24 pf 35 regular_ll \n", + "154 24 pf 28 regular_ll \n", + "155 24 pf 24 regular_ll \n", + "156 24 pf 39 regular_ll \n", + "157 24 pf 13 regular_ll \n", + "158 24 pf 31 regular_ll \n", + "159 24 pf 17 regular_ll \n", + "160 24 pf 20 regular_ll \n", + "161 0-24 pf 36 regular_ll \n", + "162 0-24 pf 21 regular_ll \n", + "163 24 pf 5 regular_ll \n", + "164 0-24 pf 14 regular_ll \n", + "165 24 pf 1 regular_ll \n", + "166 0-24 pf 25 regular_ll \n", + "167 0-24 pf 18 regular_ll \n", + "168 0-24 pf 4 regular_ll \n", + "169 0-24 pf 29 regular_ll \n", + "170 0-24 pf 9 regular_ll \n", + "171 0-24 pf 32 regular_ll \n", + "172 0-24 pf 10 regular_ll \n", + "173 24 pf 28 regular_ll \n", + "174 24 pf 24 regular_ll \n", + "175 24 pf 39 regular_ll \n", + "176 24 pf 35 regular_ll \n", + "177 24 pf 31 regular_ll \n", + "178 24 pf 13 regular_ll \n", + "179 24 pf 17 regular_ll \n", + "180 0-24 pf 50 regular_ll \n", + "181 24 pf 20 regular_ll \n", + "182 24 pf 5 regular_ll \n", + "183 24 pf 1 regular_ll \n", + "184 24 pf 36 regular_ll \n", + "185 24 pf 21 regular_ll \n", + "186 24 pf 4 regular_ll \n", + "187 24 pf 50 regular_ll \n", + "188 24 pf 29 regular_ll \n", + "189 0-24 pf 11 regular_ll \n", + "190 24 pf 9 regular_ll \n", + "191 24 pf 14 regular_ll \n", + "192 24 pf 32 regular_ll \n", + "193 24 pf 25 regular_ll \n", + "194 24 pf 10 regular_ll \n", + "195 0-24 pf 37 regular_ll \n", + "196 24 pf 18 regular_ll \n", + "197 24 pf 36 regular_ll \n", + "198 0-24 pf 33 regular_ll \n", + "199 0-24 pf 15 regular_ll \n", + "200 0-24 pf 19 regular_ll \n", + "201 0-24 pf 26 regular_ll \n", + "202 0-24 pf 40 regular_ll \n", + "203 0-24 pf 22 regular_ll \n", + "204 24 pf 21 regular_ll \n", + "205 24 pf 29 regular_ll \n", + "206 24 pf 4 regular_ll \n", + "207 0-24 pf 3 regular_ll \n", + "208 24 pf 50 regular_ll \n", + "209 24 pf 9 regular_ll \n", + "210 24 pf 14 regular_ll \n", + "211 0-24 cf 0 regular_ll \n", + "212 24 pf 32 regular_ll \n", + "213 24 pf 10 regular_ll \n", + "214 24 pf 25 regular_ll \n", + "215 0-24 pf 6 regular_ll \n", + "216 24 pf 18 regular_ll \n", + "217 24 pf 3 regular_ll \n", + "218 24 pf 37 regular_ll \n", + "219 24 pf 6 regular_ll \n", + "220 24 pf 19 regular_ll \n", + "221 24 pf 40 regular_ll \n", + "222 24 pf 22 regular_ll \n", + "223 24 pf 15 regular_ll \n", + "224 24 pf 33 regular_ll \n", + "225 24 pf 26 regular_ll \n", + "226 24 cf 0 regular_ll \n", + "227 24 pf 11 regular_ll \n", + "228 24 pf 3 regular_ll \n", "229 24 pf 37 regular_ll \n", - "230 24 pf 46 regular_ll \n", + "230 24 pf 6 regular_ll \n", "231 24 pf 19 regular_ll \n", - "232 0-24 pf 1 regular_ll \n", - "233 0-24 pf 46 regular_ll \n", - "234 0-24 pf 28 regular_ll \n", - "235 24 pf 1 regular_ll \n", - "236 24 cf 0 regular_ll \n", - "237 24 pf 37 regular_ll \n", - "238 24 pf 19 regular_ll \n", - "239 24 pf 28 regular_ll \n", - "240 24 pf 46 regular_ll \n", - "241 24 pf 38 regular_ll \n", - "242 24 pf 29 regular_ll \n", - "243 24 pf 47 regular_ll \n", - "244 24 pf 10 regular_ll \n", - "245 24 pf 2 regular_ll \n", - "246 0-24 pf 47 regular_ll \n", - "247 0-24 pf 10 regular_ll \n", - "248 0-24 pf 38 regular_ll \n", - "249 24 pf 38 regular_ll \n", - "250 24 pf 29 regular_ll \n", - "251 24 pf 47 regular_ll \n", - "252 0-24 pf 29 regular_ll \n", - "253 0-24 pf 2 regular_ll \n", - "254 24 pf 48 regular_ll \n", - "255 24 pf 10 regular_ll \n", - "256 24 pf 3 regular_ll \n", - "257 24 pf 39 regular_ll \n", - "258 24 pf 20 regular_ll \n", - "259 24 pf 11 regular_ll \n", - "260 24 pf 2 regular_ll \n", - "261 0-24 pf 48 regular_ll \n", - "262 0-24 pf 3 regular_ll \n", - "263 24 pf 4 regular_ll \n", + "232 24 pf 22 regular_ll \n", + "233 24 pf 15 regular_ll \n", + "234 24 pf 40 regular_ll \n", + "235 24 pf 33 regular_ll \n", + "236 24 pf 26 regular_ll \n", + "237 24 cf 0 regular_ll \n", + "238 24 pf 11 regular_ll \n", + "239 0-24 pf 34 regular_ll \n", + "240 0-24 pf 12 regular_ll \n", + "241 0-24 pf 38 regular_ll \n", + "242 0-24 pf 27 regular_ll \n", + "243 0-24 pf 30 regular_ll \n", + "244 0-24 pf 49 regular_ll \n", + "245 0-24 pf 23 regular_ll \n", + "246 0-24 pf 16 regular_ll \n", + "247 0-24 pf 2 regular_ll \n", + "248 24 pf 38 regular_ll \n", + "249 24 pf 16 regular_ll \n", + "250 24 pf 2 regular_ll \n", + "251 24 pf 38 regular_ll \n", + "252 24 pf 30 regular_ll \n", + "253 24 pf 23 regular_ll \n", + "254 24 pf 49 regular_ll \n", + "255 24 pf 34 regular_ll \n", + "256 24 pf 27 regular_ll \n", + "257 24 pf 7 regular_ll \n", + "258 24 pf 12 regular_ll \n", + "259 24 pf 16 regular_ll \n", + "260 24 pf 41 regular_ll \n", + "261 24 pf 2 regular_ll \n", + "262 24 pf 30 regular_ll \n", + "263 24 pf 23 regular_ll \n", "264 24 pf 49 regular_ll \n", - "265 24 pf 30 regular_ll \n", - "266 24 pf 21 regular_ll \n", - "267 24 pf 12 regular_ll \n", - "268 0-24 pf 20 regular_ll \n", - "269 0-24 pf 11 regular_ll \n", - "270 24 pf 48 regular_ll \n", - "271 24 pf 20 regular_ll \n", - "272 0-24 pf 39 regular_ll \n", - "273 24 pf 39 regular_ll \n", - "274 24 pf 3 regular_ll \n", - "275 24 pf 11 regular_ll \n", - "276 0-24 pf 21 regular_ll \n", - "277 24 pf 4 regular_ll \n", - "278 24 pf 40 regular_ll \n", - "279 24 pf 49 regular_ll \n", - "280 24 pf 13 regular_ll \n", - "281 24 pf 21 regular_ll \n", - "282 24 pf 12 regular_ll \n", - "283 0-24 pf 4 regular_ll \n", - "284 24 pf 31 regular_ll \n", - "285 24 pf 30 regular_ll \n", - "286 24 pf 5 regular_ll \n", - "287 0-24 pf 12 regular_ll \n", - "288 0-24 pf 30 regular_ll \n", - "289 24 pf 50 regular_ll \n", - "290 24 pf 22 regular_ll \n", - "291 0-24 pf 49 regular_ll \n", - "292 24 pf 32 regular_ll \n", - "293 24 pf 41 regular_ll \n", - "294 24 pf 23 regular_ll \n", - "295 24 pf 31 regular_ll \n", - "296 24 pf 14 regular_ll \n", - "297 24 pf 40 regular_ll \n", - "298 24 pf 13 regular_ll \n", - "299 24 pf 22 regular_ll \n", - "300 24 pf 5 regular_ll \n", - "301 0-24 pf 22 regular_ll \n", - "302 0-24 pf 40 regular_ll \n", - "303 0-24 pf 13 regular_ll \n", - "304 0-24 pf 31 regular_ll \n", - "305 0-24 pf 5 regular_ll " + "265 24 pf 34 regular_ll \n", + "266 24 pf 27 regular_ll \n", + "267 24 pf 7 regular_ll \n", + "268 24 pf 12 regular_ll \n", + "269 0-24 pf 24 regular_ll \n", + "270 0-24 pf 35 regular_ll \n", + "271 0-24 pf 39 regular_ll \n", + "272 24 pf 41 regular_ll \n", + "273 0-24 pf 28 regular_ll \n", + "274 0-24 pf 31 regular_ll \n", + "275 0-24 pf 13 regular_ll \n", + "276 0-24 pf 5 regular_ll \n", + "277 0-24 pf 1 regular_ll \n", + "278 0-24 pf 17 regular_ll \n", + "279 0-24 pf 20 regular_ll \n", + "280 24 pf 8 regular_ll \n", + "281 24 pf 8 regular_ll \n", + "282 24 pf 42 regular_ll \n", + "283 0-24 pf 43 regular_ll \n", + "284 24 pf 42 regular_ll \n", + "285 0-24 pf 47 regular_ll \n", + "286 24 pf 43 regular_ll \n", + "287 24 pf 43 regular_ll \n", + "288 24 pf 47 regular_ll \n", + "289 0-24 pf 44 regular_ll \n", + "290 24 pf 47 regular_ll \n", + "291 0-24 pf 48 regular_ll \n", + "292 24 pf 46 regular_ll \n", + "293 24 pf 46 regular_ll \n", + "294 24 pf 44 regular_ll \n", + "295 0-24 pf 7 regular_ll \n", + "296 24 pf 44 regular_ll \n", + "297 24 pf 48 regular_ll \n", + "298 0-24 pf 41 regular_ll \n", + "299 24 pf 48 regular_ll \n", + "300 0-24 pf 45 regular_ll \n", + "301 24 pf 45 regular_ll \n", + "302 0-24 pf 8 regular_ll \n", + "303 0-24 pf 42 regular_ll \n", + "304 24 pf 45 regular_ll \n", + "305 0-24 pf 46 regular_ll " ] }, "execution_count": 8, @@ -5001,7 +5001,7 @@ " \n", " \n", " \n", - " \n", + " \n", "
parametertypeOfLevelleveldatetimestepnumberparamIdclassstreamtypeexperimentVersionNumber
10siheightAboveGround10202501080240,1,...207odenfocf,pf0001
10siheightAboveGround10202502260240,1,...207odenfocf,pf0001
" ], "text/plain": [ @@ -5083,7 +5083,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " cf\n", @@ -5096,7 +5096,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5109,7 +5109,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5122,7 +5122,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5135,7 +5135,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5148,7 +5148,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5161,7 +5161,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5174,7 +5174,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5187,7 +5187,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5200,7 +5200,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5213,7 +5213,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5226,7 +5226,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5239,7 +5239,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5252,7 +5252,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5265,7 +5265,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5278,7 +5278,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5291,7 +5291,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5304,7 +5304,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5317,7 +5317,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5330,7 +5330,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5343,7 +5343,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5356,7 +5356,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5369,7 +5369,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5382,7 +5382,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5395,7 +5395,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5408,7 +5408,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5421,7 +5421,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5434,7 +5434,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5447,7 +5447,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5460,7 +5460,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5473,7 +5473,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5486,7 +5486,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5499,7 +5499,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5512,7 +5512,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5525,7 +5525,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5538,7 +5538,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5551,7 +5551,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5564,7 +5564,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5577,7 +5577,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5590,7 +5590,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5603,7 +5603,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5616,7 +5616,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5629,7 +5629,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5642,7 +5642,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5655,7 +5655,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5668,7 +5668,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5681,7 +5681,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5694,7 +5694,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5707,7 +5707,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5720,7 +5720,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5733,7 +5733,7 @@ " 10si\n", " heightAboveGround\n", " 10\n", - " 20250108\n", + " 20250226\n", " 0\n", " 24\n", " pf\n", @@ -5747,57 +5747,57 @@ "text/plain": [ " centre shortName typeOfLevel level dataDate dataTime \\\n", "Message \n", - "0 ecmf 10si heightAboveGround 10 20250108 0 \n", - "1 ecmf 10si heightAboveGround 10 20250108 0 \n", - "2 ecmf 10si heightAboveGround 10 20250108 0 \n", - "3 ecmf 10si heightAboveGround 10 20250108 0 \n", - "4 ecmf 10si heightAboveGround 10 20250108 0 \n", - "5 ecmf 10si heightAboveGround 10 20250108 0 \n", - "6 ecmf 10si heightAboveGround 10 20250108 0 \n", - "7 ecmf 10si heightAboveGround 10 20250108 0 \n", - "8 ecmf 10si heightAboveGround 10 20250108 0 \n", - "9 ecmf 10si heightAboveGround 10 20250108 0 \n", - "10 ecmf 10si heightAboveGround 10 20250108 0 \n", - "11 ecmf 10si heightAboveGround 10 20250108 0 \n", - "12 ecmf 10si heightAboveGround 10 20250108 0 \n", - "13 ecmf 10si heightAboveGround 10 20250108 0 \n", - "14 ecmf 10si heightAboveGround 10 20250108 0 \n", - "15 ecmf 10si heightAboveGround 10 20250108 0 \n", - "16 ecmf 10si heightAboveGround 10 20250108 0 \n", - "17 ecmf 10si heightAboveGround 10 20250108 0 \n", - "18 ecmf 10si heightAboveGround 10 20250108 0 \n", - "19 ecmf 10si heightAboveGround 10 20250108 0 \n", - "20 ecmf 10si heightAboveGround 10 20250108 0 \n", - "21 ecmf 10si heightAboveGround 10 20250108 0 \n", - "22 ecmf 10si heightAboveGround 10 20250108 0 \n", - "23 ecmf 10si heightAboveGround 10 20250108 0 \n", - "24 ecmf 10si heightAboveGround 10 20250108 0 \n", - "25 ecmf 10si heightAboveGround 10 20250108 0 \n", - "26 ecmf 10si heightAboveGround 10 20250108 0 \n", - "27 ecmf 10si heightAboveGround 10 20250108 0 \n", - "28 ecmf 10si heightAboveGround 10 20250108 0 \n", - "29 ecmf 10si heightAboveGround 10 20250108 0 \n", - "30 ecmf 10si heightAboveGround 10 20250108 0 \n", - "31 ecmf 10si heightAboveGround 10 20250108 0 \n", - "32 ecmf 10si heightAboveGround 10 20250108 0 \n", - "33 ecmf 10si heightAboveGround 10 20250108 0 \n", - "34 ecmf 10si heightAboveGround 10 20250108 0 \n", - "35 ecmf 10si heightAboveGround 10 20250108 0 \n", - "36 ecmf 10si heightAboveGround 10 20250108 0 \n", - "37 ecmf 10si heightAboveGround 10 20250108 0 \n", - "38 ecmf 10si heightAboveGround 10 20250108 0 \n", - "39 ecmf 10si heightAboveGround 10 20250108 0 \n", - "40 ecmf 10si heightAboveGround 10 20250108 0 \n", - "41 ecmf 10si heightAboveGround 10 20250108 0 \n", - "42 ecmf 10si heightAboveGround 10 20250108 0 \n", - "43 ecmf 10si heightAboveGround 10 20250108 0 \n", - "44 ecmf 10si heightAboveGround 10 20250108 0 \n", - "45 ecmf 10si heightAboveGround 10 20250108 0 \n", - "46 ecmf 10si heightAboveGround 10 20250108 0 \n", - "47 ecmf 10si heightAboveGround 10 20250108 0 \n", - "48 ecmf 10si heightAboveGround 10 20250108 0 \n", - "49 ecmf 10si heightAboveGround 10 20250108 0 \n", - "50 ecmf 10si heightAboveGround 10 20250108 0 \n", + "0 ecmf 10si heightAboveGround 10 20250226 0 \n", + "1 ecmf 10si heightAboveGround 10 20250226 0 \n", + "2 ecmf 10si heightAboveGround 10 20250226 0 \n", + "3 ecmf 10si heightAboveGround 10 20250226 0 \n", + "4 ecmf 10si heightAboveGround 10 20250226 0 \n", + "5 ecmf 10si heightAboveGround 10 20250226 0 \n", + "6 ecmf 10si heightAboveGround 10 20250226 0 \n", + "7 ecmf 10si heightAboveGround 10 20250226 0 \n", + "8 ecmf 10si heightAboveGround 10 20250226 0 \n", + "9 ecmf 10si heightAboveGround 10 20250226 0 \n", + "10 ecmf 10si heightAboveGround 10 20250226 0 \n", + "11 ecmf 10si heightAboveGround 10 20250226 0 \n", + "12 ecmf 10si heightAboveGround 10 20250226 0 \n", + "13 ecmf 10si heightAboveGround 10 20250226 0 \n", + "14 ecmf 10si heightAboveGround 10 20250226 0 \n", + "15 ecmf 10si heightAboveGround 10 20250226 0 \n", + "16 ecmf 10si heightAboveGround 10 20250226 0 \n", + "17 ecmf 10si heightAboveGround 10 20250226 0 \n", + "18 ecmf 10si heightAboveGround 10 20250226 0 \n", + "19 ecmf 10si heightAboveGround 10 20250226 0 \n", + "20 ecmf 10si heightAboveGround 10 20250226 0 \n", + "21 ecmf 10si heightAboveGround 10 20250226 0 \n", + "22 ecmf 10si heightAboveGround 10 20250226 0 \n", + "23 ecmf 10si heightAboveGround 10 20250226 0 \n", + "24 ecmf 10si heightAboveGround 10 20250226 0 \n", + "25 ecmf 10si heightAboveGround 10 20250226 0 \n", + "26 ecmf 10si heightAboveGround 10 20250226 0 \n", + "27 ecmf 10si heightAboveGround 10 20250226 0 \n", + "28 ecmf 10si heightAboveGround 10 20250226 0 \n", + "29 ecmf 10si heightAboveGround 10 20250226 0 \n", + "30 ecmf 10si heightAboveGround 10 20250226 0 \n", + "31 ecmf 10si heightAboveGround 10 20250226 0 \n", + "32 ecmf 10si heightAboveGround 10 20250226 0 \n", + "33 ecmf 10si heightAboveGround 10 20250226 0 \n", + "34 ecmf 10si heightAboveGround 10 20250226 0 \n", + "35 ecmf 10si heightAboveGround 10 20250226 0 \n", + "36 ecmf 10si heightAboveGround 10 20250226 0 \n", + "37 ecmf 10si heightAboveGround 10 20250226 0 \n", + "38 ecmf 10si heightAboveGround 10 20250226 0 \n", + "39 ecmf 10si heightAboveGround 10 20250226 0 \n", + "40 ecmf 10si heightAboveGround 10 20250226 0 \n", + "41 ecmf 10si heightAboveGround 10 20250226 0 \n", + "42 ecmf 10si heightAboveGround 10 20250226 0 \n", + "43 ecmf 10si heightAboveGround 10 20250226 0 \n", + "44 ecmf 10si heightAboveGround 10 20250226 0 \n", + "45 ecmf 10si heightAboveGround 10 20250226 0 \n", + "46 ecmf 10si heightAboveGround 10 20250226 0 \n", + "47 ecmf 10si heightAboveGround 10 20250226 0 \n", + "48 ecmf 10si heightAboveGround 10 20250226 0 \n", + "49 ecmf 10si heightAboveGround 10 20250226 0 \n", + "50 ecmf 10si heightAboveGround 10 20250226 0 \n", "\n", " stepRange dataType number gridType \n", "Message \n", @@ -5918,7 +5918,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "" ] @@ -6056,7 +6056,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.1" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/opencharts/medium-ens-wave-ws.ipynb b/opencharts/medium-ens-wave-ws.ipynb index a2e2a15..b30edc8 100644 --- a/opencharts/medium-ens-wave-ws.ipynb +++ b/opencharts/medium-ens-wave-ws.ipynb @@ -130,7 +130,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mslp-mean-spread.ipynb b/opencharts/medium-mslp-mean-spread.ipynb index 9080d9a..8e6f5a3 100644 --- a/opencharts/medium-mslp-mean-spread.ipynb +++ b/opencharts/medium-mslp-mean-spread.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mslp-rain.ipynb b/opencharts/medium-mslp-rain.ipynb index fca1e92..cc55e8b 100644 --- a/opencharts/medium-mslp-rain.ipynb +++ b/opencharts/medium-mslp-rain.ipynb @@ -129,7 +129,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mslp-wind200.ipynb b/opencharts/medium-mslp-wind200.ipynb index 2142002..a102918 100644 --- a/opencharts/medium-mslp-wind200.ipynb +++ b/opencharts/medium-mslp-wind200.ipynb @@ -131,7 +131,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mslp-wind850.ipynb b/opencharts/medium-mslp-wind850.ipynb index 852356e..0411366 100644 --- a/opencharts/medium-mslp-wind850.ipynb +++ b/opencharts/medium-mslp-wind850.ipynb @@ -126,7 +126,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mwp-long-probability.ipynb b/opencharts/medium-mwp-long-probability.ipynb index 5078606..fbc1962 100644 --- a/opencharts/medium-mwp-long-probability.ipynb +++ b/opencharts/medium-mwp-long-probability.ipynb @@ -125,7 +125,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mwp-mwd.ipynb b/opencharts/medium-mwp-mwd.ipynb index d0fabb4..1198795 100644 --- a/opencharts/medium-mwp-mwd.ipynb +++ b/opencharts/medium-mwp-mwd.ipynb @@ -128,7 +128,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-mwp-probability.ipynb b/opencharts/medium-mwp-probability.ipynb index cfcf330..ce69fd2 100644 --- a/opencharts/medium-mwp-probability.ipynb +++ b/opencharts/medium-mwp-probability.ipynb @@ -125,7 +125,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-precipitation-type.ipynb b/opencharts/medium-precipitation-type.ipynb index 890442f..f64d9d7 100644 --- a/opencharts/medium-precipitation-type.ipynb +++ b/opencharts/medium-precipitation-type.ipynb @@ -115,7 +115,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-rain-acc.ipynb b/opencharts/medium-rain-acc.ipynb index 1400381..f3ef6dd 100644 --- a/opencharts/medium-rain-acc.ipynb +++ b/opencharts/medium-rain-acc.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-rv-div-uv.ipynb b/opencharts/medium-rv-div-uv.ipynb index 0e914ee..3ab5b17 100644 --- a/opencharts/medium-rv-div-uv.ipynb +++ b/opencharts/medium-rv-div-uv.ipynb @@ -128,7 +128,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-specific-humidity.ipynb b/opencharts/medium-specific-humidity.ipynb index 1c29104..8801718 100644 --- a/opencharts/medium-specific-humidity.ipynb +++ b/opencharts/medium-specific-humidity.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-swh-long-probability.ipynb b/opencharts/medium-swh-long-probability.ipynb index 653ff92..f41dda0 100644 --- a/opencharts/medium-swh-long-probability.ipynb +++ b/opencharts/medium-swh-long-probability.ipynb @@ -130,7 +130,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-swh-mwd.ipynb b/opencharts/medium-swh-mwd.ipynb index aaa24df..1dacafc 100644 --- a/opencharts/medium-swh-mwd.ipynb +++ b/opencharts/medium-swh-mwd.ipynb @@ -127,7 +127,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-swh-probability.ipynb b/opencharts/medium-swh-probability.ipynb index ef184f7..c90421c 100644 --- a/opencharts/medium-swh-probability.ipynb +++ b/opencharts/medium-swh-probability.ipynb @@ -130,7 +130,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-t-z.ipynb b/opencharts/medium-t-z.ipynb index 17346a5..7d95cd5 100644 --- a/opencharts/medium-t-z.ipynb +++ b/opencharts/medium-t-z.ipynb @@ -127,7 +127,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-t500-mean-spread.ipynb b/opencharts/medium-t500-mean-spread.ipynb index 2b163fb..7440703 100644 --- a/opencharts/medium-t500-mean-spread.ipynb +++ b/opencharts/medium-t500-mean-spread.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-thickness-mslp.ipynb b/opencharts/medium-thickness-mslp.ipynb index 774f807..37746e7 100644 --- a/opencharts/medium-thickness-mslp.ipynb +++ b/opencharts/medium-thickness-mslp.ipynb @@ -125,7 +125,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-tp-acc-mean.ipynb b/opencharts/medium-tp-acc-mean.ipynb index 0f5840f..e73161a 100644 --- a/opencharts/medium-tp-acc-mean.ipynb +++ b/opencharts/medium-tp-acc-mean.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-tp-mean.ipynb b/opencharts/medium-tp-mean.ipynb index c23644a..c7a6711 100644 --- a/opencharts/medium-tp-mean.ipynb +++ b/opencharts/medium-tp-mean.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-tp-probability.ipynb b/opencharts/medium-tp-probability.ipynb index 8cf3238..9d84d01 100644 --- a/opencharts/medium-tp-probability.ipynb +++ b/opencharts/medium-tp-probability.ipynb @@ -131,7 +131,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-uv-rh.ipynb b/opencharts/medium-uv-rh.ipynb index cfbb0af..c46288c 100644 --- a/opencharts/medium-uv-rh.ipynb +++ b/opencharts/medium-uv-rh.ipynb @@ -111,7 +111,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-uv-z.ipynb b/opencharts/medium-uv-z.ipynb index da9a065..8cf2161 100644 --- a/opencharts/medium-uv-z.ipynb +++ b/opencharts/medium-uv-z.ipynb @@ -127,7 +127,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-vorticity.ipynb b/opencharts/medium-vorticity.ipynb index a42b879..c15b539 100644 --- a/opencharts/medium-vorticity.ipynb +++ b/opencharts/medium-vorticity.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-wg-probability.ipynb b/opencharts/medium-wg-probability.ipynb index b372014..9d76d02 100644 --- a/opencharts/medium-wg-probability.ipynb +++ b/opencharts/medium-wg-probability.ipynb @@ -127,7 +127,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-wind-100m.ipynb b/opencharts/medium-wind-100m.ipynb index 95c88c2..e31bc69 100644 --- a/opencharts/medium-wind-100m.ipynb +++ b/opencharts/medium-wind-100m.ipynb @@ -109,7 +109,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-wind-10m.ipynb b/opencharts/medium-wind-10m.ipynb index c667de7..4041682 100644 --- a/opencharts/medium-wind-10m.ipynb +++ b/opencharts/medium-wind-10m.ipynb @@ -115,7 +115,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-wind-10wg.ipynb b/opencharts/medium-wind-10wg.ipynb index 6170e12..454c501 100644 --- a/opencharts/medium-wind-10wg.ipynb +++ b/opencharts/medium-wind-10wg.ipynb @@ -114,7 +114,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-z300-mean-spread.ipynb b/opencharts/medium-z300-mean-spread.ipynb index a62e2c1..4369a94 100644 --- a/opencharts/medium-z300-mean-spread.ipynb +++ b/opencharts/medium-z300-mean-spread.ipynb @@ -124,7 +124,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, { diff --git a/opencharts/medium-z500-t850.ipynb b/opencharts/medium-z500-t850.ipynb index c21088e..0960aed 100644 --- a/opencharts/medium-z500-t850.ipynb +++ b/opencharts/medium-z500-t850.ipynb @@ -125,7 +125,7 @@ "metadata": {}, "outputs": [], "source": [ - "client = Client(\"ecmwf\", beta=True)" + "client = Client(\"ecmwf\", beta=False)" ] }, {