osi_saf_450_430-a_rg025

recipes/OSI-SAF-450-430-a_rg025/meta.yaml

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+# Name for dataset. User chosen.
+title: 'OSI-SAF Global Sea Ice Concentration Climate Data Record (1990-2021 Daily) Release 3'
+# Description of dataset.  User chosen, roughly 1 sentence in length.
+description: 'Daily global sea ice concentration climate data record (product ID: OSI-450-a and OSI-430-a) for the preiod 1990-2021 interpolated onto a global regular grid with a resolution of 0.25 degrees'
+# Version of pangeo_forge_recipes library that was used
+pangeo_forge_version: '0.9.2'
+# The recipes section tells Pangeo Cloud where to find the recipes within your PR.
+# Many recipe PRs will have just 1 recipe, in which case this section will look similar to the example below.
+# If your PR contains multiple recipes, you may add additional elements to the list below.
+recipes:
+  # User chosen name for recipe. Likely similiar to dataset name, ~25 characters in length
+  - id: OSI-SAF-450-430-a_rg025
+    # The `object` below tells Pangeo Cloud specifically where your recipe instance(s) are located and uses the format <filename>:<object_name>
+    # <filename> is name of .py file where the Python recipe object is defined.
+    # For example, if <filename> is given as "recipe", Pangeo Cloud will expect a file named `recipe.py` to exist in your PR.
+    # <object_name> is the name of the recipe object (i.e. Python class instance) _within_ the specified file.
+    # For example, if you have defined `recipe = XarrayZarrRecipe(...)` within a file named `recipe.py`, then your  `object` below would be `"recipe:recipe"`
+    object: 'recipe:recipe'
+provenance:
+  # Data provider object.  Follow STAC spec.
+  # https://github.com/radiantearth/stac-spec/blob/master/collection-spec/collection-spec.md#provider-object
+  providers:
+    - name: 'EUMETSAT OSI SAF'
+      description: 'EUMETSAT Ocean and Sea Ice Satellite Application Facility High Latitude Processing Center'
+      roles:
+        - producer
+        - licensor
+      url: https://osi-saf.eumetsat.int/products/osi-450-a
+    - name: 'NCAR'
+      description: 'Regridding and merging of the observations performed by Lorenzo Zampieri at the National Center for Atmospheric Research, where observations are stored'
+      roles:
+        - processor
+        - host
+  # This is a required field for provider. Follow STAC spec
+  # https://github.com/radiantearth/stac-spec/blob/master/collection-spec/collection-spec.md#license
+  license: 'EUMETSAT Essential (free and unrestricted)'
+maintainers:
+  # Information about recipe creator. name and github are required
+  - name: 'Lorenzo Zampieri'
+    orcid: '0000-0003-1703-4162'
+    github: lzampier
+# The specific bakery (i.e. cloud infrastructure) that your recipe will run on.
+# Available bakeries can be found on the Pangeo Forge website https://pangeo-forge.org/dashboard/bakeries
+bakery:
+  id: 'pangeo-ldeo-nsf-earthcube'

recipes/OSI-SAF-450-430-a_rg025/recipe.py

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+import pandas as pd
+
+from pangeo_forge_recipes.patterns import ConcatDim, FilePattern
+from pangeo_forge_recipes.recipes import XarrayZarrRecipe
+
+dates = pd.date_range('1989-01-01', '2021-12-31', freq='D')
+
+missing_dates = [
+    pd.Timestamp(1990, 8, 13),
+    pd.Timestamp(1990, 8, 25),
+    pd.Timestamp(1990, 8, 26),
+    pd.Timestamp(1990, 10, 21),
+    pd.Timestamp(1990, 10, 22),
+    pd.Timestamp(1990, 10, 26),
+    pd.Timestamp(1990, 10, 27),
+    pd.Timestamp(1990, 10, 28),
+    pd.Timestamp(1990, 12, 21),
+    pd.Timestamp(1990, 12, 22),
+    pd.Timestamp(1990, 12, 23),
+    pd.Timestamp(1990, 12, 24),
+    pd.Timestamp(1990, 12, 25),
+    pd.Timestamp(1990, 12, 26),
+    pd.Timestamp(2000, 12, 1),
+    pd.Timestamp(2021, 2, 20),
+]
+
+# Drop missing dates
+dates = dates.drop(missing_dates)
+
+URL_FORMAT = (
+    'https://g-08c618.7a577b.6fbd.data.globus.org/'
+    'ice_conc_r1440x720_{interim}cdr-v3p0_{time:%Y%m%d}1200.nc'
+)
+
+
+def make_url(time):
+    if time.year <= 2020:
+        return URL_FORMAT.format(time=time, interim='')
+    if time.year > 2020:
+        return URL_FORMAT.format(time=time, interim='i')
+
+
+time_concat_dim = ConcatDim('time', dates, nitems_per_file=1)
+pattern = FilePattern(make_url, time_concat_dim)
+
+recipe = XarrayZarrRecipe(pattern, inputs_per_chunk=5)