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chore: Uncomment lines
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‎scripts/fetch_test_data.py‎

Lines changed: 132 additions & 132 deletions
Original file line numberDiff line numberDiff line change
@@ -7,7 +7,7 @@
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import xarray as xr
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from loguru import logger
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from ref_sample_data import DataRequest, Obs4REFRequest
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from ref_sample_data import CMIP6Request, DataRequest, Obs4REFRequest
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OUTPUT_PATH = Path("data")
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app = typer.Typer()
@@ -132,137 +132,137 @@ def process_sample_data_request(
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DATASETS_TO_FETCH = [
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# # Example metric data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "tas", "tos", "rsut", "rlut", "rsdt"],
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# experiment_id=["ssp126", "historical"],
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# ),
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# remove_ensembles=True,
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# time_span=("2000", "2025"),
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# ),
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# # ESMValTool Climate at global warmings levels data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "pr", "tas"],
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# experiment_id=["ssp126", "historical"],
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# ),
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# remove_ensembles=True,
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# time_span=("1850", "2100"),
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# ),
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# # ESMValTool Cloud radiative effects
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "rlut", "rlutcs", "rsut", "rsutcs"],
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# experiment_id="historical",
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# ),
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# remove_ensembles=True,
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# time_span=("2005", "2014"),
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# ),
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# # ESMValTool ECS data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "rlut", "rsdt", "rsut", "tas"],
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# experiment_id=["abrupt-4xCO2", "piControl"],
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# ),
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# remove_ensembles=True,
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# time_span=("0101", "0125"),
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# ),
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# # ESMValTool TCR data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "tas"],
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# experiment_id=["1pctCO2", "piControl"],
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# ),
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# remove_ensembles=True,
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# time_span=("0101", "0180"),
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# ),
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# # ESMValTool TCRE data
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# CMIP6Request(
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# facets=dict(
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# source_id="MPI-ESM1-2-LR",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "fco2antt", "tas"],
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# experiment_id=["esm-1pctCO2"],
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# ),
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# remove_ensembles=True,
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# time_span=("1850", "1915"),
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# ),
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# CMIP6Request(
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# facets=dict(
202-
# source_id="MPI-ESM1-2-LR",
203-
# frequency=["fx", "mon"],
204-
# variable_id=["areacella", "tas"],
205-
# experiment_id=["esm-piControl"],
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# ),
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# remove_ensembles=True,
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# time_span=("1850", "1915"),
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# ),
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# # ESMValTool ZEC data
211-
# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "tas"],
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# experiment_id=["1pctCO2", "esm-1pct-brch-1000PgC"],
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# ),
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# remove_ensembles=True,
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# time_span=("0158", "0268"),
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# ),
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# # ESMValTool Sea Ice Area Seasonal Cycle data
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# CMIP6Request(
223-
# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacello", "siconc"],
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# experiment_id=["historical"],
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# ),
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# remove_ensembles=True,
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# time_span=("1979", "2014"),
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# ),
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# # ILAMB data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
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# frequency=["fx", "mon"],
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# variable_id=["areacella", "sftlf", "gpp", "pr", "tas", "mrro", "mrsos", "cSoil", "lai", "nbp"],
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# experiment_id=["historical"],
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# ),
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# remove_ensembles=True,
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# time_span=("2000", "2025"),
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# ),
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# # IOMB data
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# CMIP6Request(
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# facets=dict(
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# source_id="ACCESS-ESM1-5",
247-
# frequency=["fx", "mon"],
248-
# variable_id=["areacello", "sftof", "tos", "sos", "msftmz"],
249-
# experiment_id=["historical"],
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# ),
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# remove_ensembles=True,
252-
# time_span=("2000", "2025"),
253-
# ),
254-
# # PMP modes of variability data
255-
# CMIP6Request(
256-
# facets=dict(
257-
# source_id="ACCESS-ESM1-5",
258-
# frequency=["fx", "mon"],
259-
# variable_id=["areacella", "ts", "psl"],
260-
# experiment_id=["historical", "hist-GHG"],
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# variant_label=["r1i1p1f1", "r2i1p1f1"],
262-
# ),
263-
# remove_ensembles=False,
264-
# time_span=("2000", "2025"),
265-
# ),
135+
CMIP6Request(
136+
facets=dict(
137+
source_id="ACCESS-ESM1-5",
138+
frequency=["fx", "mon"],
139+
variable_id=["areacella", "tas", "tos", "rsut", "rlut", "rsdt"],
140+
experiment_id=["ssp126", "historical"],
141+
),
142+
remove_ensembles=True,
143+
time_span=("2000", "2025"),
144+
),
145+
# ESMValTool Climate at global warmings levels data
146+
CMIP6Request(
147+
facets=dict(
148+
source_id="ACCESS-ESM1-5",
149+
frequency=["fx", "mon"],
150+
variable_id=["areacella", "pr", "tas"],
151+
experiment_id=["ssp126", "historical"],
152+
),
153+
remove_ensembles=True,
154+
time_span=("1850", "2100"),
155+
),
156+
# ESMValTool Cloud radiative effects
157+
CMIP6Request(
158+
facets=dict(
159+
source_id="ACCESS-ESM1-5",
160+
frequency=["fx", "mon"],
161+
variable_id=["areacella", "rlut", "rlutcs", "rsut", "rsutcs"],
162+
experiment_id="historical",
163+
),
164+
remove_ensembles=True,
165+
time_span=("2005", "2014"),
166+
),
167+
# ESMValTool ECS data
168+
CMIP6Request(
169+
facets=dict(
170+
source_id="ACCESS-ESM1-5",
171+
frequency=["fx", "mon"],
172+
variable_id=["areacella", "rlut", "rsdt", "rsut", "tas"],
173+
experiment_id=["abrupt-4xCO2", "piControl"],
174+
),
175+
remove_ensembles=True,
176+
time_span=("0101", "0125"),
177+
),
178+
# ESMValTool TCR data
179+
CMIP6Request(
180+
facets=dict(
181+
source_id="ACCESS-ESM1-5",
182+
frequency=["fx", "mon"],
183+
variable_id=["areacella", "tas"],
184+
experiment_id=["1pctCO2", "piControl"],
185+
),
186+
remove_ensembles=True,
187+
time_span=("0101", "0180"),
188+
),
189+
# ESMValTool TCRE data
190+
CMIP6Request(
191+
facets=dict(
192+
source_id="MPI-ESM1-2-LR",
193+
frequency=["fx", "mon"],
194+
variable_id=["areacella", "fco2antt", "tas"],
195+
experiment_id=["esm-1pctCO2"],
196+
),
197+
remove_ensembles=True,
198+
time_span=("1850", "1915"),
199+
),
200+
CMIP6Request(
201+
facets=dict(
202+
source_id="MPI-ESM1-2-LR",
203+
frequency=["fx", "mon"],
204+
variable_id=["areacella", "tas"],
205+
experiment_id=["esm-piControl"],
206+
),
207+
remove_ensembles=True,
208+
time_span=("1850", "1915"),
209+
),
210+
# ESMValTool ZEC data
211+
CMIP6Request(
212+
facets=dict(
213+
source_id="ACCESS-ESM1-5",
214+
frequency=["fx", "mon"],
215+
variable_id=["areacella", "tas"],
216+
experiment_id=["1pctCO2", "esm-1pct-brch-1000PgC"],
217+
),
218+
remove_ensembles=True,
219+
time_span=("0158", "0268"),
220+
),
221+
# ESMValTool Sea Ice Area Seasonal Cycle data
222+
CMIP6Request(
223+
facets=dict(
224+
source_id="ACCESS-ESM1-5",
225+
frequency=["fx", "mon"],
226+
variable_id=["areacello", "siconc"],
227+
experiment_id=["historical"],
228+
),
229+
remove_ensembles=True,
230+
time_span=("1979", "2014"),
231+
),
232+
# ILAMB data
233+
CMIP6Request(
234+
facets=dict(
235+
source_id="ACCESS-ESM1-5",
236+
frequency=["fx", "mon"],
237+
variable_id=["areacella", "sftlf", "gpp", "pr", "tas", "mrro", "mrsos", "cSoil", "lai", "nbp"],
238+
experiment_id=["historical"],
239+
),
240+
remove_ensembles=True,
241+
time_span=("2000", "2025"),
242+
),
243+
# IOMB data
244+
CMIP6Request(
245+
facets=dict(
246+
source_id="ACCESS-ESM1-5",
247+
frequency=["fx", "mon"],
248+
variable_id=["areacello", "sftof", "tos", "sos", "msftmz"],
249+
experiment_id=["historical"],
250+
),
251+
remove_ensembles=True,
252+
time_span=("2000", "2025"),
253+
),
254+
# PMP modes of variability data
255+
CMIP6Request(
256+
facets=dict(
257+
source_id="ACCESS-ESM1-5",
258+
frequency=["fx", "mon"],
259+
variable_id=["areacella", "ts", "psl"],
260+
experiment_id=["historical", "hist-GHG"],
261+
variant_label=["r1i1p1f1", "r2i1p1f1"],
262+
),
263+
remove_ensembles=False,
264+
time_span=("2000", "2025"),
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),
266266
# # Obs4MIPs AIRS data
267267
# Obs4MIPsRequest(
268268
# facets=dict(

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