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World Bank Climate Change Knowledge Portal (CCKP)

CCKP provides open access to a comprehensive suite of climate and climate change resources derived from the latest generation of climate data archives. Products are based on a consistent and transparent approach with a systematic way of pre-processing the raw observed and model-based projection data to enable inter-comparable use across a broad range of applications. Climate products consist of basic climate variables as well as a large collection (70+) of more specialized, application-orientate

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Source details

Licence: [World Bank Open Database License (ODbL)](https://creativecommons.org/licenses/by/4.0/)

Evidence quality: 47.4

Listed in aws-odr 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
basic climate variables · 70+ specialised, application-oriented climate variables and indices · precomputed projections across scenarios, extractable by variable, timeframe, scenario, ensemble or individual model · downscaled CMIP6 projections · ERA5-based observed climate · CRU-based observed climate · population projections (GPW v4)
Coverage docs-verified
Global · 1901-2100, varying by collection (CRU 1901-2022; ERA5 1950-2022; downscaled CMIP6 1950-2100; population 1995-2100)
Resolution docs-verified
0.25-degree global grid (downscaled CMIP6, ERA5, population); 0.50-degree global grid (CRU)
Update frequency docs-verified
Semi-annually
Formats docs-verified
NetCDF
Access docs-verified
Free and open; no AWS account required (AWS CLI with --no-sign-request, S3 bucket s3://wbg-cckp in us-west-2). Licence: World Bank Open Database License (ODbL), CC BY 4.0 link in registry.

Useful for

Use cases llm-inferred
Climate-change context for FRA by extracting CMIP6 precipitation and temperature change signals for a catchment · Drainage strategy sensitivity checks using precomputed CMIP6 climate indices for future rainfall and temperature trends · Observed baseline climate summaries from ERA5 or CRU for water resources and ecology baseline reports · Population projection context (GPW v4) for water demand or catchment pressure narratives
Audience llm-inferred
hydrologists · flood consultants · drainage engineers · planners · ecologists · GIS analysts

Limitations

Constraints llm-inferred
Global grids at 0.25-degree and 0.50-degree; not UK-specific and likely too coarse for site-scale work without downscaling · Semi-annual update cadence · Precomputed, pre-processed products only; raw model output is not the offering · Accessed as an S3 bucket, not as an API or MCP server · Population data is a separate collection, not a climate variable

Evidence

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