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Essential climate variables for water sector applications derived from climate projections

This dataset contains 4 Essential Climate Variables (ECV) for the 18 bias adjusted Global Climate Models (GCM) from CMIP5: daily precipitation rate, and daily mean, maximum and minimum temperatures. The data are bias adjusted using the Distribution Based Scaling (DBS) method versus the global reference dataset HydroGFD2.0, both bias adjustment method and global reference dataset developed by the Swedish Meteorological and Hydrological Institute (SMHI). The DBS method is a parametric quantile-map

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Source details

Licence: other

Evidence quality: 35.1

Listed in cds public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata checked: 2026-10-14T13:20:00.000Z

What's in it

Data offered docs-verified
daily precipitation rate · daily mean 2m temperature · daily maximum 2m temperature · daily minimum 2m temperature
Coverage docs-verified
Global · From 1978 to 2100
Resolution docs-verified
0.5° x 0.5° horizontal; daily temporal
Formats docs-verified
NetCDF
Access docs-verified
Licence CC-BY; accessed via the Copernicus Climate Data Store (CDS) website. Login requirements and pricing are not stated in the docs.

Useful for

Use cases llm-inferred
Bias-adjusted daily precipitation and temperature inputs for hydrological impact modelling of future climate scenarios · Climate-change sensitivity checks on design rainfall for drainage strategy · Future temperature trend inputs for water resources and drought planning studies
Audience llm-inferred
hydrologists · drainage engineers · flood consultants · water resources engineers · climate risk analysts

Limitations

Constraints docs-verified
CMIP5 generation of climate models (older than CMIP6) · Bias adjustment can leave some data unadjusted or outside physically plausible ranges; these cells are filled with missing values, then interpolated or copied from the nearest grid cell · Coarse 0.5° grid resolution · Temperature inconsistencies between daily mean, maximum and minimum were adjusted using climatological anomalies, which is a post-processing step

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.