Draft for INALT60 recipe

recipes/INALT60/meta.yaml

@@ -0,0 +1,20 @@
+title: 'SWOT-AdAC data (INALT60)'
+description: 'INALT60 regional data for SWOT-AdAC Xovers'
+pangeo_forge_version: '0.3.3'
+pangeo_notebook_version: '2021.05.04'
+recipes:
+  - dict_object: 'recipe:recipes'
+provenance:
+  providers:
+    - name: 'GEOMAR'
+      description: 'GEOMAR Helmholtz Centre for Ocean Research Kiel'
+      roles:
+        - producer
+        - licensor
+      url: https://github.com/roxyboy/SWOT-AdAC-ocean-model-intercomparison
+  license: 'CC-BY-NC-SA-4.0'
+maintainers:
+  - name: 'Charles Stern'
+    github: reneschubert
+bakery:
+  id: 'pangeo-ldeo-nsf-earthcube'

recipes/INALT60/recipe.py

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+from pangeo_forge_recipes.patterns import (
+    ConcatDim,
+    FilePattern,
+    MergeDim,
+    pattern_from_file_sequence,
+)
+from pangeo_forge_recipes.recipes import XarrayZarrRecipe
+
+months = [f'{m:02d}' for m in (2, 3, 4, 8, 9, 10)]
+concat_months = ConcatDim('time_counter', keys=months)
+
+
+def gen_url(variable, time_counter, freq, dim):
+    base = (
+        'https://data.geomar.de/downloads/20.500.12085/'
+        '0e95d316-f1ba-47e3-b667-fc800afafe22/data/'
+    )
+    return base + f'INALT60_{freq}_{dim}_{variable}_{time_counter}.nc'
+
+
+surf_ocean_vars = ['u', 'v', 'hts']
+
+pattern_dict = {
+    'surf_ocean_4h': {'vars': surf_ocean_vars, 'args': ('4h', 'surface')},
+    'surf_ocean_5d': {'vars': surf_ocean_vars, 'args': ('5d', 'surface')},
+    'surf_flux_1d': {'vars': ['flux', 'taux', 'tauy'], 'args': ('1d', 'surface')},
+    'int_ocean_1d': {'vars': ['ts', 'u', 'v', 'w'], 'args': ('1d', 'upper1000m')},
+}
+
+
+def create_recipe(key, patterns=pattern_dict, url_func=gen_url, concat_dim=concat_months):
+    url_func.__defaults__ = patterns[key]['args']
+    merge_dim = MergeDim('variable', keys=patterns[key]['vars'])
+    pattern = FilePattern(url_func, merge_dim, concat_dim)
+    return XarrayZarrRecipe(pattern, target_chunks={'time_counter': 15})
+
+
+recipes = {list(pattern_dict)[i]: create_recipe(list(pattern_dict)[i]) for i in range(4)}
+
+
+def grid_recipe():
+    url = (
+        'https://data.geomar.de/downloads/20.500.12085/'
+        '0e95d316-f1ba-47e3-b667-fc800afafe22/data/'
+        'INALT60_mesh_mask.nc'
+    )
+    pattern = pattern_from_file_sequence([url], 'time_counter', 1)
+    return XarrayZarrRecipe(pattern)
+
+
+recipes['grid'] = grid_recipe()