Commit
•
5e9558f
1
Parent(s):
48cee83
Add list of files, update script
Browse files- analysis.json +0 -0
- gfs-reforecast.py +30 -24
- gfs_v16.json +1 -0
- raw.json +1 -0
analysis.json
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gfs-reforecast.py
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@@ -12,9 +12,9 @@
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Archival NOAA NWP forecasting data covering most of 2016-2022. """
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import xarray as xr
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import datasets
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@@ -41,9 +41,9 @@ _LICENSE = "US Government data, Open license, no restrictions"
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"GFSv16": "
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"raw": "
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"analysis": "
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}
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class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
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@@ -70,7 +70,7 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
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datasets.BuilderConfig(name="gfs_v16_variables", version=VERSION, description="GFS v16 Forecasts from April 2021 through 2022 with one returned array per variable"),
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]
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DEFAULT_CONFIG_NAME = "
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def _info(self):
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if "v16" in self.config.name:
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@@ -95,6 +95,9 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
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# These are the features of your dataset like images, labels ...
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}
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)
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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@@ -149,25 +152,28 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath, split):
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filepaths = [
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if "
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"
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yield idx, value
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-
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else:
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for f in filepaths:
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dataset = xr.open_dataset('zip:///::'+f, engine='zarr', chunks={}).sortby("time").drop_duplicates("time")
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Archival NOAA NWP forecasting data covering most of 2016-2022. """
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import numpy as np
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import xarray as xr
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import json
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import datasets
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_URLS = {
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"GFSv16": "gfs_v16.json",
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"raw": "raw.json",
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"analysis": "analysis.json",
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}
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class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
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datasets.BuilderConfig(name="gfs_v16_variables", version=VERSION, description="GFS v16 Forecasts from April 2021 through 2022 with one returned array per variable"),
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]
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DEFAULT_CONFIG_NAME = "gfs_v16" # It's not mandatory to have a default configuration. Just use one if it make sense.
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def _info(self):
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if "v16" in self.config.name:
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# These are the features of your dataset like images, labels ...
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}
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)
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if "raw" in self.config.name:
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# Add the raw observation features
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raw_features = {}
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return datasets.DatasetInfo(
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# This is the description that will appear on the datasets page.
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description=_DESCRIPTION,
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath, split):
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# Load the list of files for the type of data
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with open(filepath, "r") as f:
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filepaths = json.load(f)
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filepaths = ['zip:///::https://huggingface.co/datasets/openclimatefix/gfs-reforecast/resolve/main/' + f for f in filepaths]
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if "v16" in self.config.name:
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dataset = xr.open_mfdataset(filepaths, concat_dim="reftime", combine="nested", engine='zarr', chunks={}).sortby("reftime")
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for idx in range(0, len(dataset["reftime"].values)):
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try:
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data = dataset.isel(reftime=idx)
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for t in range(len(data["time"].values)-1):
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data_t = data.isel(time=slice(t, t+1))
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state_values = np.concatenate([data_t[v].values for v in sorted(data_t.data_vars)], axis=0)
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value = {"current_state": state_values[0],
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"next_state": state_values[1],
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"timestamp": data_t["time"].values,
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"latitude": data_t["latitude"].values,
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"longitude": data_t["longitude"].values}
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yield idx, value
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except:
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# Some of the zarrs potentially have corrupted data at the end, and might fail, so this avoids that
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continue
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else:
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for f in filepaths:
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dataset = xr.open_dataset('zip:///::'+f, engine='zarr', chunks={}).sortby("time").drop_duplicates("time")
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gfs_v16.json
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["data/forecasts/GFSv16/2021051706.zarr.zip", "data/forecasts/GFSv16/2021051712.zarr.zip", "data/forecasts/GFSv16/2021051718.zarr.zip", "data/forecasts/GFSv16/2021051800.zarr.zip", "data/forecasts/GFSv16/2021051806.zarr.zip", "data/forecasts/GFSv16/2021051812.zarr.zip", "data/forecasts/GFSv16/2021051818.zarr.zip", "data/forecasts/GFSv16/2021051900.zarr.zip", "data/forecasts/GFSv16/2021051906.zarr.zip", "data/forecasts/GFSv16/2021051912.zarr.zip", "data/forecasts/GFSv16/2021051918.zarr.zip", "data/forecasts/GFSv16/2021052000.zarr.zip", "data/forecasts/GFSv16/2021052006.zarr.zip", "data/forecasts/GFSv16/2021052012.zarr.zip", "data/forecasts/GFSv16/2021052018.zarr.zip", "data/forecasts/GFSv16/2021052100.zarr.zip", "data/forecasts/GFSv16/2021052106.zarr.zip", "data/forecasts/GFSv16/2021052112.zarr.zip", "data/forecasts/GFSv16/2021052118.zarr.zip", "data/forecasts/GFSv16/2021052206.zarr.zip", "data/forecasts/GFSv16/2021052212.zarr.zip", "data/forecasts/GFSv16/2021052218.zarr.zip", "data/forecasts/GFSv16/2021052300.zarr.zip", "data/forecasts/GFSv16/2021052306.zarr.zip", "data/forecasts/GFSv16/2021052312.zarr.zip", "data/forecasts/GFSv16/2021052318.zarr.zip", "data/forecasts/GFSv16/2021052400.zarr.zip", "data/forecasts/GFSv16/2021052406.zarr.zip", "data/forecasts/GFSv16/2021052412.zarr.zip", "data/forecasts/GFSv16/2021052418.zarr.zip", "data/forecasts/GFSv16/2021052500.zarr.zip", "data/forecasts/GFSv16/2021052506.zarr.zip", "data/forecasts/GFSv16/2021052512.zarr.zip", "data/forecasts/GFSv16/2021052518.zarr.zip", "data/forecasts/GFSv16/2021052600.zarr.zip", "data/forecasts/GFSv16/2021052606.zarr.zip", "data/forecasts/GFSv16/2021052612.zarr.zip", "data/forecasts/GFSv16/2021052618.zarr.zip", "data/forecasts/GFSv16/2021052700.zarr.zip", "data/forecasts/GFSv16/2021052706.zarr.zip", "data/forecasts/GFSv16/2021052712.zarr.zip", "data/forecasts/GFSv16/2021052718.zarr.zip", "data/forecasts/GFSv16/2021052800.zarr.zip", "data/forecasts/GFSv16/2021052806.zarr.zip", "data/forecasts/GFSv16/2021052812.zarr.zip", "data/forecasts/GFSv16/2021052818.zarr.zip", "data/forecasts/GFSv16/2022010100.zarr.zip", "data/forecasts/GFSv16/2022010106.zarr.zip", "data/forecasts/GFSv16/2022010112.zarr.zip", "data/forecasts/GFSv16/2022010118.zarr.zip", "data/forecasts/GFSv16/2022010200.zarr.zip", "data/forecasts/GFSv16/2022010206.zarr.zip", "data/forecasts/GFSv16/2022010212.zarr.zip", "data/forecasts/GFSv16/2022010218.zarr.zip", "data/forecasts/GFSv16/2022010300.zarr.zip", "data/forecasts/GFSv16/2022010306.zarr.zip", "data/forecasts/GFSv16/2022010312.zarr.zip", "data/forecasts/GFSv16/2022010318.zarr.zip", "data/forecasts/GFSv16/2022010400.zarr.zip", "data/forecasts/GFSv16/2022010406.zarr.zip", "data/forecasts/GFSv16/2022010412.zarr.zip", "data/forecasts/GFSv16/2022010418.zarr.zip", "data/forecasts/GFSv16/2022010500.zarr.zip", "data/forecasts/GFSv16/2022010506.zarr.zip", "data/forecasts/GFSv16/2022010512.zarr.zip", "data/forecasts/GFSv16/2022010518.zarr.zip", "data/forecasts/GFSv16/2022010600.zarr.zip", "data/forecasts/GFSv16/2022010606.zarr.zip", "data/forecasts/GFSv16/2022010612.zarr.zip", "data/forecasts/GFSv16/2022010618.zarr.zip", "data/forecasts/GFSv16/2022010700.zarr.zip", "data/forecasts/GFSv16/2022010706.zarr.zip", "data/forecasts/GFSv16/2022010712.zarr.zip", "data/forecasts/GFSv16/2022010718.zarr.zip", "data/forecasts/GFSv16/2022010800.zarr.zip", "data/forecasts/GFSv16/2022010806.zarr.zip", "data/forecasts/GFSv16/2022010812.zarr.zip", "data/forecasts/GFSv16/2022010818.zarr.zip", "data/forecasts/GFSv16/2022010900.zarr.zip", "data/forecasts/GFSv16/2022010906.zarr.zip", "data/forecasts/GFSv16/2022010912.zarr.zip", "data/forecasts/GFSv16/2022010918.zarr.zip", "data/forecasts/GFSv16/2022011000.zarr.zip", "data/forecasts/GFSv16/2022011006.zarr.zip", "data/forecasts/GFSv16/2022011012.zarr.zip", "data/forecasts/GFSv16/2022011018.zarr.zip", "data/forecasts/GFSv16/2022011500.zarr.zip", "data/forecasts/GFSv16/2022011506.zarr.zip", "data/forecasts/GFSv16/2022011512.zarr.zip", "data/forecasts/GFSv16/2022011518.zarr.zip", "data/forecasts/GFSv16/2022011600.zarr.zip", "data/forecasts/GFSv16/2022011606.zarr.zip", "data/forecasts/GFSv16/2022011612.zarr.zip", "data/forecasts/GFSv16/2022011618.zarr.zip", "data/forecasts/GFSv16/2022011700.zarr.zip", "data/forecasts/GFSv16/2022011706.zarr.zip", "data/forecasts/GFSv16/2022011712.zarr.zip", "data/forecasts/GFSv16/2022011718.zarr.zip", "data/forecasts/GFSv16/2022011800.zarr.zip", "data/forecasts/GFSv16/2022011806.zarr.zip", "data/forecasts/GFSv16/2022011812.zarr.zip", "data/forecasts/GFSv16/2022011818.zarr.zip", "data/forecasts/GFSv16/2022011900.zarr.zip", "data/forecasts/GFSv16/2022011906.zarr.zip", "data/forecasts/GFSv16/2022011912.zarr.zip", "data/forecasts/GFSv16/2022011918.zarr.zip", "data/forecasts/GFSv16/2022012000.zarr.zip", "data/forecasts/GFSv16/2022012006.zarr.zip", "data/forecasts/GFSv16/2022012012.zarr.zip", "data/forecasts/GFSv16/2022012018.zarr.zip", "data/forecasts/GFSv16/2022012100.zarr.zip", "data/forecasts/GFSv16/2022012106.zarr.zip", "data/forecasts/GFSv16/2022012112.zarr.zip", "data/forecasts/GFSv16/2022012118.zarr.zip", "data/forecasts/GFSv16/2022012200.zarr.zip", "data/forecasts/GFSv16/2022012206.zarr.zip", "data/forecasts/GFSv16/2022012212.zarr.zip", "data/forecasts/GFSv16/2022012218.zarr.zip", "data/forecasts/GFSv16/2022012300.zarr.zip", "data/forecasts/GFSv16/2022012306.zarr.zip", "data/forecasts/GFSv16/2022012312.zarr.zip", "data/forecasts/GFSv16/2022020100.zarr.zip", "data/forecasts/GFSv16/2022020106.zarr.zip", "data/forecasts/GFSv16/2022020112.zarr.zip", "data/forecasts/GFSv16/2022020118.zarr.zip", "data/forecasts/GFSv16/2022020200.zarr.zip", "data/forecasts/GFSv16/2022020206.zarr.zip", "data/forecasts/GFSv16/2022020212.zarr.zip", "data/forecasts/GFSv16/2022020218.zarr.zip", "data/forecasts/GFSv16/2022020300.zarr.zip", "data/forecasts/GFSv16/2022020306.zarr.zip", "data/forecasts/GFSv16/2022020312.zarr.zip", "data/forecasts/GFSv16/2022020318.zarr.zip", "data/forecasts/GFSv16/2022020400.zarr.zip", "data/forecasts/GFSv16/2022020406.zarr.zip", "data/forecasts/GFSv16/2022020412.zarr.zip", "data/forecasts/GFSv16/2022020418.zarr.zip", "data/forecasts/GFSv16/2022020500.zarr.zip", "data/forecasts/GFSv16/2022020506.zarr.zip", "data/forecasts/GFSv16/2022020512.zarr.zip", "data/forecasts/GFSv16/2022020518.zarr.zip", "data/forecasts/GFSv16/2022020600.zarr.zip", "data/forecasts/GFSv16/2022020606.zarr.zip", "data/forecasts/GFSv16/2022020612.zarr.zip", "data/forecasts/GFSv16/2022020618.zarr.zip", "data/forecasts/GFSv16/2022020700.zarr.zip", "data/forecasts/GFSv16/2022020706.zarr.zip", "data/forecasts/GFSv16/2022020712.zarr.zip", "data/forecasts/GFSv16/2022020718.zarr.zip", "data/forecasts/GFSv16/2022020800.zarr.zip", "data/forecasts/GFSv16/2022020812.zarr.zip", "data/forecasts/GFSv16/2022020818.zarr.zip", "data/forecasts/GFSv16/2022020906.zarr.zip", "data/forecasts/GFSv16/2022020912.zarr.zip", "data/forecasts/GFSv16/2022020918.zarr.zip", "data/forecasts/GFSv16/2022021000.zarr.zip", "data/forecasts/GFSv16/2022021006.zarr.zip", "data/forecasts/GFSv16/2022021012.zarr.zip", "data/forecasts/GFSv16/2022021018.zarr.zip", "data/forecasts/GFSv16/2022021100.zarr.zip", "data/forecasts/GFSv16/2022021106.zarr.zip", "data/forecasts/GFSv16/2022021500.zarr.zip", "data/forecasts/GFSv16/2022021506.zarr.zip", "data/forecasts/GFSv16/2022021512.zarr.zip", "data/forecasts/GFSv16/2022021518.zarr.zip", "data/forecasts/GFSv16/2022021600.zarr.zip", "data/forecasts/GFSv16/2022021606.zarr.zip", "data/forecasts/GFSv16/2022021612.zarr.zip", "data/forecasts/GFSv16/2022021618.zarr.zip", "data/forecasts/GFSv16/2022021700.zarr.zip", "data/forecasts/GFSv16/2022021706.zarr.zip", "data/forecasts/GFSv16/2022021712.zarr.zip"]
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raw.json
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["data/raw/prepbufr.gdas.20210705.t12z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210707.t18z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210708.t00z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210708.t06z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210708.t12z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210708.t18z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210709.t00z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210709.t06z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210709.t12z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210709.t18z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210710.t00z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210710.t06z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210710.t12z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210710.t18z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210711.t00z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210711.t06z.nr.48h.zarr.zip", "data/raw/prepbufr.gdas.20210711.t12z.nr.48h.zarr.zip", 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