W5E5 0.5 deg reference dataset

In [ ]:

# 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

In [ ]:

from climdata.utils.config import load_config
from climdata.datasets.W5E5 import W5E5
from climdata import ClimData
# Configure
overrides = [
    "dataset=w5e5",  # Select the MSWX dataset for extraction
    "lat=52",
    "lon=13",
    f"time_range.start_date=2004-01-01",  # Start date of extraction
    f"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.utils.config import load_config from climdata.datasets.W5E5 import W5E5 from climdata import ClimData # Configure overrides = [ "dataset=w5e5", # Select the MSWX dataset for extraction "lat=52", "lon=13", f"time_range.start_date=2004-01-01", # Start date of extraction f"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))

🔍 Searching for W5E5 datasets in ISIMIP repository...

📥 Fetching tasmin...
✅ Found dataset: 20crv3-w5e5_obsclim_tasmin_global_daily
  ⬇️ Downloading: 20crv3-w5e5_obsclim_tasmin_global_daily_2001_2010.nc

In [5]:

w5e5.ds

w5e5.ds

Out[5]:

<xarray.Dataset> Size: 7kB
Dimensions:  (time: 366)
Coordinates:
    lon      float64 8B 13.25
    lat      float64 8B 52.25
  * time     (time) datetime64[ns] 3kB 2004-01-01 2004-01-02 ... 2004-12-31
Data variables:
    tasmin   (time) float32 1kB ...
    tasmax   (time) float32 1kB ...
    pr       (time) float32 1kB ...
Attributes:
    title:        20CRv3-W5E5 observational climate input data for ISIMIP3a
    institution:  Potsdam Institute for Climate Impact Research (PIK)
    project:      Inter-Sectoral Impact Model Intercomparison Project phase 3...
    contact:      ISIMIP cross-sectoral science team <info@isimip.org> <https...
    summary:      20CRv3, member 001, bias-adjusted to W5E5 v2.0 with ISIMIP3...
    references:   Slivinski et al. (2019) <https://doi.org/10.1002/qj.3598> a...
    source:       W5E5 via ISIMIP
    dataset:      W5E5v2.0
    description:  WFDE5 over land merged with ERA5 over ocean

xarray.Dataset

• Dimensions:
  • time: 366
• Coordinates: (3)
  • lon
    ()
    float64
    13.25

    standard_name :

    longitude

    long_name :

    Longitude

    units :

    degrees_east

    axis :

    X

    array(13.25)

  • lat
    ()
    float64
    52.25

    standard_name :

    latitude

    long_name :

    Latitude

    units :

    degrees_north

    axis :

    Y

    array(52.25)

  • time
    (time)
    datetime64[ns]
    2004-01-01 ... 2004-12-31

    standard_name :

    time

    long_name :

    Time

    axis :

    T

    array(['2004-01-01T00:00:00.000000000', '2004-01-02T00:00:00.000000000',
           '2004-01-03T00:00:00.000000000', ..., '2004-12-29T00:00:00.000000000',
           '2004-12-30T00:00:00.000000000', '2004-12-31T00:00:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (3)
  • tasmin
    (time)
    float32
    ...

    standard_name :

    air_temperature

    long_name :

    Daily Minimum Near-Surface Air Temperature

    units :

    K

    [366 values with dtype=float32]

  • tasmax
    (time)
    float32
    ...

    standard_name :

    air_temperature

    long_name :

    Daily Maximum Near-Surface Air Temperature

    units :

    K

    [366 values with dtype=float32]

  • pr
    (time)
    float32
    ...

    standard_name :

    precipitation_flux

    long_name :

    Precipitation

    units :

    kg m-2 s-1

    [366 values with dtype=float32]

• Indexes: (1)
  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2004-01-01', '2004-01-02', '2004-01-03', '2004-01-04',
                   '2004-01-05', '2004-01-06', '2004-01-07', '2004-01-08',
                   '2004-01-09', '2004-01-10',
                   ...
                   '2004-12-22', '2004-12-23', '2004-12-24', '2004-12-25',
                   '2004-12-26', '2004-12-27', '2004-12-28', '2004-12-29',
                   '2004-12-30', '2004-12-31'],
                  dtype='datetime64[ns]', name='time', length=366, freq=None))

• Attributes: (9)

  title :

  20CRv3-W5E5 observational climate input data for ISIMIP3a

  institution :

  Potsdam Institute for Climate Impact Research (PIK)

  project :

  Inter-Sectoral Impact Model Intercomparison Project phase 3a (ISIMIP3a)

  contact :

  ISIMIP cross-sectoral science team <info@isimip.org> <https://www.isimip.org>

  summary :

  20CRv3, member 001, bias-adjusted to W5E5 v2.0 with ISIMIP3BASD v2.5.1 (for 1901-1978) combined with W5E5 v2.0 (for 1979-2019)

  references :

  Slivinski et al. (2019) <https://doi.org/10.1002/qj.3598> and Compo et al. (2011) <https://doi.org/10.1002/qj.776> for 20CRv3; Cucchi et al. (2020) <https://doi.org/10.5194/essd-2020-28> and Lange et al. (2021) <https://doi.org/10.48364/ISIMIP.342217> for W5E5; Lange (2019) <https://doi.org/10.5194/gmd-12-3055-2019> and Lange (2021) <https://doi.org/10.5281/zenodo.5776126> for ISIMIP3BASD

  source :

  W5E5 via ISIMIP

  dataset :

  W5E5v2.0

  description :

  WFDE5 over land merged with ERA5 over ocean