Cmip6 wrf wus

recipes/cmip6-wrf-wus/meta.yaml

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+title: CMIP6 GCMs downscaled using WRF
+description: >-
+  Downscaling of CMIP6 GCMs conducted at UCLA for the western US over 45km and
+  9km grid-spacing, and over California and Wyoming for 3km grid-spacing in some
+  cases.
+recipes:
+  dict_object: 'recipe:recipes'
+provenance:
+  providers:
+    - name: UCLA Center for Climate Science
+      description: 'University of California, Los Angeles Center for Climate Science'
+      roles:
+        - producer
+        - processor
+        - licensor
+      url: 'https://dept.atmos.ucla.edu/alexhall/downscaling-cmip6'
+    - name: AWS
+      description: AWS Sustainability Data Initiative
+      roles:
+        - host
+      url: 'https://registry.opendata.aws/wrf-cmip6/'
+  license: CC BY-SA 4.0
+maintainers:
+  - name: Naomi Goldenson
+    orcid: 0000-0003-0656-4168
+    github: thenaomig
+bakery:
+  id: pangeo-ldeo-nsf-earthcube

recipes/cmip6-wrf-wus/recipe.py

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+import functools
+
+import pandas as pd
+
+from pangeo_forge_recipes.patterns import ConcatDim, FilePattern
+from pangeo_forge_recipes.recipes import HDFReferenceRecipe
+
+recipe_dict = {
+    'cesm2_r11i1p1f1_ssp370': {
+        'url_format': (
+            'https://wrf-cmip6-noversioning.s3.amazonaws.com/downscaled_products/gcm/'
+            'cesm2_r11i1p1f1_ssp370/hourly/{Time:%Y}/d02/auxhist_d01_{Time:%Y-%m-%d_%X}'
+        ),
+        'times': pd.date_range('2014-09-01', '2100-08-31 23:00', freq='H'),
+    }
+}
+
+
+def make_url(Time, URL_FORMAT=None):
+    return URL_FORMAT.format(Time=Time)
+
+
+recipes = {}
+for key, value in recipe_dict.items():
+    times = value['times']
+    time_concat_dim = ConcatDim('Time', times)
+    make_url_partial = functools.partial(make_url, URL_FORMAT=value['url_format'])
+    pattern = FilePattern(make_url_partial, time_concat_dim)
+    recipes[key] = HDFReferenceRecipe(
+        pattern,
+        concat_dims=['Time'],
+        coo_map={'Time': [str(time) for time in times]},
+        preprocess=None,
+    )