jacobbieker commited on
Commit
5e9558f
1 Parent(s): 48cee83

Add list of files, update script

Browse files
Files changed (4) hide show
  1. analysis.json +0 -0
  2. gfs-reforecast.py +30 -24
  3. gfs_v16.json +1 -0
  4. raw.json +1 -0
analysis.json ADDED
The diff for this file is too large to render. See raw diff
 
gfs-reforecast.py CHANGED
@@ -12,9 +12,9 @@
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
  """Archival NOAA NWP forecasting data covering most of 2016-2022. """
15
-
16
-
17
  import xarray as xr
 
18
 
19
  import datasets
20
 
@@ -41,9 +41,9 @@ _LICENSE = "US Government data, Open license, no restrictions"
41
  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
42
  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
43
  _URLS = {
44
- "GFSv16": "https://huggingface.co/datasets/openclimatefix/mrms/resolve/main/data/forecasts/GFSv16/*.zarr.zip",
45
- "raw": "https://huggingface.co/datasets/openclimatefix/mrms/resolve/main/data/raw/*.zarr.zip",
46
- "analysis": "https://huggingface.co/datasets/openclimatefix/mrms/resolve/main/data/analysis/*.zarr.zip",
47
  }
48
 
49
  class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
@@ -70,7 +70,7 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
70
  datasets.BuilderConfig(name="gfs_v16_variables", version=VERSION, description="GFS v16 Forecasts from April 2021 through 2022 with one returned array per variable"),
71
  ]
72
 
73
- DEFAULT_CONFIG_NAME = "analysis" # It's not mandatory to have a default configuration. Just use one if it make sense.
74
 
75
  def _info(self):
76
  if "v16" in self.config.name:
@@ -95,6 +95,9 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
95
  # These are the features of your dataset like images, labels ...
96
  }
97
  )
 
 
 
98
  return datasets.DatasetInfo(
99
  # This is the description that will appear on the datasets page.
100
  description=_DESCRIPTION,
@@ -149,25 +152,28 @@ class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
149
 
150
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
151
  def _generate_examples(self, filepath, split):
152
- if isinstance(filepath, dict):
153
- # Select the correct set of filepaths
154
- filepaths = filepath[split]
155
- else:
156
- filepaths = [filepath]
157
- if "sequence" in self.config.name:
158
- for f in filepaths:
159
- dataset = xr.open_dataset('zip:///::'+f, engine='zarr', chunks={}).sortby("time").drop_duplicates("time")
160
- for idx in range(0, len(dataset["time"].values), 24):
161
- try:
162
- data = dataset.isel(time=slice(idx, idx+24))
163
- value = {"precipitation_rate": data["unknown"].values,
164
- "timestamp": data["time"].values,
165
- "latitude": data["latitude"].values,
166
- "longitude": data["longitude"].values}
 
 
 
167
  yield idx, value
168
- except:
169
- # Some of the zarrs potentially have corrupted data at the end, and might fail, so this avoids that
170
- continue
171
  else:
172
  for f in filepaths:
173
  dataset = xr.open_dataset('zip:///::'+f, engine='zarr', chunks={}).sortby("time").drop_duplicates("time")
 
12
  # See the License for the specific language governing permissions and
13
  # limitations under the License.
14
  """Archival NOAA NWP forecasting data covering most of 2016-2022. """
15
+ import numpy as np
 
16
  import xarray as xr
17
+ import json
18
 
19
  import datasets
20
 
 
41
  # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
42
  # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
43
  _URLS = {
44
+ "GFSv16": "gfs_v16.json",
45
+ "raw": "raw.json",
46
+ "analysis": "analysis.json",
47
  }
48
 
49
  class GFEReforecastDataset(datasets.GeneratorBasedBuilder):
 
70
  datasets.BuilderConfig(name="gfs_v16_variables", version=VERSION, description="GFS v16 Forecasts from April 2021 through 2022 with one returned array per variable"),
71
  ]
72
 
73
+ DEFAULT_CONFIG_NAME = "gfs_v16" # It's not mandatory to have a default configuration. Just use one if it make sense.
74
 
75
  def _info(self):
76
  if "v16" in self.config.name:
 
95
  # These are the features of your dataset like images, labels ...
96
  }
97
  )
98
+ if "raw" in self.config.name:
99
+ # Add the raw observation features
100
+ raw_features = {}
101
  return datasets.DatasetInfo(
102
  # This is the description that will appear on the datasets page.
103
  description=_DESCRIPTION,
 
152
 
153
  # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
154
  def _generate_examples(self, filepath, split):
155
+
156
+ # Load the list of files for the type of data
157
+ with open(filepath, "r") as f:
158
+ filepaths = json.load(f)
159
+ filepaths = ['zip:///::https://huggingface.co/datasets/openclimatefix/gfs-reforecast/resolve/main/' + f for f in filepaths]
160
+ if "v16" in self.config.name:
161
+ dataset = xr.open_mfdataset(filepaths, concat_dim="reftime", combine="nested", engine='zarr', chunks={}).sortby("reftime")
162
+ for idx in range(0, len(dataset["reftime"].values)):
163
+ try:
164
+ data = dataset.isel(reftime=idx)
165
+ for t in range(len(data["time"].values)-1):
166
+ data_t = data.isel(time=slice(t, t+1))
167
+ state_values = np.concatenate([data_t[v].values for v in sorted(data_t.data_vars)], axis=0)
168
+ value = {"current_state": state_values[0],
169
+ "next_state": state_values[1],
170
+ "timestamp": data_t["time"].values,
171
+ "latitude": data_t["latitude"].values,
172
+ "longitude": data_t["longitude"].values}
173
  yield idx, value
174
+ except:
175
+ # Some of the zarrs potentially have corrupted data at the end, and might fail, so this avoids that
176
+ continue
177
  else:
178
  for f in filepaths:
179
  dataset = xr.open_dataset('zip:///::'+f, engine='zarr', chunks={}).sortby("time").drop_duplicates("time")
gfs_v16.json ADDED
@@ -0,0 +1 @@
 
 
1
+ ["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", 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"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", 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raw.json ADDED
@@ -0,0 +1 @@
 
 
1
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