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# Uncomment to install climdata in Google Colab or other environments
# !pip install climdata

# Uncomment to install climdata in Google Colab or other environments # !pip install climdata

W5E5 — climdata Example¶

W5E5 v2.0 is the ISIMIP reference dataset: WFDE5 over land merged with ERA5 over ocean, at 0.5° (~55 km) daily resolution. It is the observational baseline used to bias-adjust ISIMIP3b climate projections.

This example downloads W5E5 and extracts a single point (Berlin) for one year.

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from climdata import ClimData
from climdata.datasets.W5E5 import W5E5

# Configure
overrides = [
    "dataset=w5e5",                       # Select the W5E5 dataset for extraction
    "lat=52",
    "lon=13",
    "time_range.start_date=2004-01-01",   # Start date of extraction
    "time_range.end_date=2004-12-31",     # End date of extraction
    "variables=[tasmin,tasmax,pr]",       # Variables to extract: min/max temperature & precipitation
    "data_dir=./data",                    # Local directory to store downloaded/intermediate files
]

extractor = ClimData(overrides=overrides)

# Fetch, load, and extract
w5e5 = W5E5(extractor.cfg)
w5e5.fetch()   # Download from ISIMIP
w5e5.load()    # Load into xarray
w5e5.extract(point=(extractor.cfg.lon, extractor.cfg.lat))

from climdata import ClimData from climdata.datasets.W5E5 import W5E5 # Configure overrides = [ "dataset=w5e5", # Select the W5E5 dataset for extraction "lat=52", "lon=13", "time_range.start_date=2004-01-01", # Start date of extraction "time_range.end_date=2004-12-31", # End date of extraction "variables=[tasmin,tasmax,pr]", # Variables to extract: min/max temperature & precipitation "data_dir=./data", # Local directory to store downloaded/intermediate files ] extractor = ClimData(overrides=overrides) # Fetch, load, and extract w5e5 = W5E5(extractor.cfg) w5e5.fetch() # Download from ISIMIP w5e5.load() # Load into xarray w5e5.extract(point=(extractor.cfg.lon, extractor.cfg.lat))

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# Inspect the extracted dataset
w5e5.ds

# Inspect the extracted dataset w5e5.ds