dataset · Global
Ensemble Meteorological Dataset for Planet Earth, EM-Earth
EM-Earth provides data for precipitation, mean air temperature, air temperature range, and dew-point temperature at 0.1° spatial resolution over global land areas from 1950 to 2019. EM-Earth provides hourly/daily deterministic estimates, and daily probabilistic estimates (25 ensemble members), to meet the diverse requirements of hydrometeorological applications.
Visit source ↗Source details
Licence: Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Evidence quality: 40.7
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
- precipitation · mean air temperature · air temperature range · dew-point temperature
- Coverage docs-verified
- Global land areas · 1950 to 2019
- Resolution docs-verified
- 0.1° spatial; hourly/daily deterministic and daily probabilistic (25 ensemble members) temporal
- Formats docs-verified
- NetCDF
- Access docs-verified
- Open under CC BY 4.0; no AWS account required (anonymous S3 access via --no-sign-request)
Useful for
- Use cases llm-inferred
- Long-term (1950–2019) precipitation and temperature forcing for catchment and drainage model calibration · Ensemble rainfall and temperature inputs for uncertainty bounds in flood frequency or hydrological hindcasting · Gridded dew-point and temperature inputs for evapotranspiration estimates in water balance or ecological baseline work
- Audience llm-inferred
- hydrologists · flood consultants · drainage engineers · water resources engineers · hydrometeorological analysts
Limitations
- Constraints llm-inferred
- Data ends in 2019, so it does not cover recent years · Gridded estimates at 0.1°, not direct station or gauge observations · Global product; UK-specific accuracy is not documented in DOCS · No update frequency stated (N/A), so unsuitable for near-real-time use · Distributed as bulk files from an S3 bucket, with no query API
Evidence
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.