Adding EOOffshore CCMP v0.2.1.NRT recipe

recipes/eooffshore_ics_ccmp_v02_1_nrt_wind/meta.yaml

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+title: "eooffshore_ics_ccmp_v02_1_nrt_wind"
+description: "EOOffshore Project (https://eooffshore.github.io) 2015 - 2021 Cross-Calibrated Multi-Platform (CCMP) v0.2.1.NRT 6-hourly wind products for the Irish Continental Shelf region, where wind speed and direction have been calculated from the uwnd and vwnd variables." 
+pangeo_forge_version: "0.9.1"
+pangeo_notebook_version: "2022.06.02"
+recipes:
+  - id: eooffshore_ics_ccmp_v02_1_nrt_wind
+    object: "recipe:recipe"
+provenance:
+  providers:
+    - name: "Remote Sensing Systems (RSS)"
+      description: "Remote Sensing Systems is a world leader in processing and analyzing microwave data collected by satellite microwave sensors, whose mission is to provide research-quality geophysical data to the global scientific community."
+      roles:
+        - produce
+        - licensor
+      url: https://www.remss.com/measurements/ccmp/
+  license: "CC-BY-4.0" # https://rda.ucar.edu/datasets/ds745.1/
+maintainers:
+  - name: "Derek O'Callaghan"
+    orcid: "0000-0003-0585-8631"
+    github: derekocallaghan
+bakery:
+  id: "pangeo-ldeo-nsf-earthcube"

recipes/eooffshore_ics_ccmp_v02_1_nrt_wind/recipe.py

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+import dask
+import dask.array as da
+from datetime import datetime
+import pandas as pd
+from pangeo_forge_recipes.patterns import FilePattern, ConcatDim
+from pangeo_forge_recipes.recipes import XarrayZarrRecipe
+import xarray as xr
+
+
+def ics_wind_speed_direction(ds: xr.Dataset, fname: str) -> xr.Dataset:
+    """
+    Selects a subset for the Irish Continental Shelf (ICS) region, and computes wind speed and
+    direction for the u and v components in the specified product. Dask arrays are
+    created for delayed execution.
+    """
+    from metpy.calc import wind_direction, wind_speed
+
+    @dask.delayed
+    def delayed_metpy_fn(fn, u, v):
+        return fn(u, v).values
+
+    # ICS grid
+    geospatial_lat_min = 45.75
+    geospatial_lat_max = 58.25
+    geospatial_lon_min = 333.85
+    geospatial_lon_max = 355.35
+    icds = ds.sel(
+        latitude=slice(geospatial_lat_min, geospatial_lat_max),
+        longitude=slice(geospatial_lon_min, geospatial_lon_max),
+    )
+
+    # Remove subset of original attrs as they're no longer relevant
+    for attr in ["base_date", "date_created", "history"]:
+        del icds.attrs[attr]
+
+    # Update the grid attributes
+    icds.attrs.update(
+        {
+            "geospatial_lat_min": geospatial_lat_min,
+            "geospatial_lat_max": geospatial_lat_max,
+            "geospatial_lon_min": geospatial_lon_min,
+            "geospatial_lon_max": geospatial_lon_max,
+        }
+    )
+    u = icds.uwnd
+    v = icds.vwnd
+    # Original wind speed 'units': 'm s-1' attribute not accepted by MetPy,
+    # use the unit contained in ERA5 data
+    ccmp_wind_speed_units = u.units
+    era5_wind_speed_units = "m s**-1"
+    u.attrs["units"] = era5_wind_speed_units
+    v.attrs["units"] = era5_wind_speed_units
+
+    variables = [
+        {
+            "name": "wind_speed",
+            "metpy_fn": wind_speed,
+            "attrs": {"long_name": "Wind speed", "units": ccmp_wind_speed_units},
+        },
+        {
+            "name": "wind_direction",
+            "metpy_fn": wind_direction,
+            "attrs": {"long_name": "Wind direction", "units": "degree"},
+        },
+    ]
+
+    # CCMP provides u/v at a single height, 10m
+    for variable in variables:
+        icds[variable["name"]] = (
+            xr.DataArray(
+                da.from_delayed(
+                    delayed_metpy_fn(variable["metpy_fn"], u, v), u.shape, dtype=u.dtype
+                ),
+                coords=u.coords,
+                dims=u.dims,
+            )
+            .assign_coords(height=10)
+            .expand_dims(["height"])
+        )
+        icds[variable["name"]].attrs.update(variable["attrs"])
+
+    icds.height.attrs.update(
+        {
+            "long_name": "Height above the surface",
+            "standard_name": "height",
+            "units": "m",
+        }
+    )
+    # Restore units
+    for variable in ["uwnd", "vwnd"]:
+        icds[variable].attrs["units"] = ccmp_wind_speed_units
+
+    icds.attrs["eooffshore_zarr_creation_time"] = datetime.strftime(
+        datetime.now(), "%Y-%m-%dT%H:%M:%SZ"
+    )
+    icds.attrs[
+        "eooffshore_zarr_details"
+    ] = "EOOffshore Project: Concatenated CCMP v0.2.1.NRT 6-hourly wind products provided by Remote Sensing Systems (RSS), for Irish Continental Shelf. Wind speed and direction have been calculated from the uwnd and vwnd variables. CCMP Version-2 vector wind analyses are produced by Remote Sensing Systems. Data are available at www.remss.com."
+    return icds
+
+
+missing_dates = [
+    pd.Timestamp(d)
+    for d in [
+        "2017-03-11",
+        "2017-03-12",
+        "2017-04-10",
+        "2017-05-25",
+        "2017-05-26",
+        "2018-01-04",
+        "2020-07-09",
+        "2020-07-13",
+        "2020-07-15",
+        "2020-08-04",
+        "2020-08-09",
+        "2020-08-11",
+        "2020-10-22",
+        "2020-10-23",
+    ]
+]
+
+dates = pd.date_range("2015-01-16", "2021-09-30", freq="D")
+
+# Drop missing dates
+dates = dates.drop(missing_dates)
+
+
+def make_url(time):
+    year = time.strftime("%Y")
+    month = time.strftime("%m")
+    day = time.strftime("%d")
+    url = f"https://data.remss.com/ccmp/v02.1.NRT/Y{year}/M{month}/CCMP_RT_Wind_Analysis_{year}{month}{day}_V02.1_L3.0_RSS.nc"
+    return url
+
+
+# Daily products with 6-hourly values
+NITEMS_PER_FILE = 4
+
+pattern = FilePattern(
+    make_url,
+    ConcatDim(name="time", keys=dates, nitems_per_file=NITEMS_PER_FILE),
+)
+
+target_chunks = {"time": 8000, "latitude": -1, "longitude": -1}
+
+recipe = XarrayZarrRecipe(
+    file_pattern=pattern,
+    target_chunks=target_chunks,
+    inputs_per_chunk=int(target_chunks["time"] / NITEMS_PER_FILE),
+    process_input=ics_wind_speed_direction,
+)