dataset · Global
ERA5-Land Hourly - ECMWF Climate Reanalysis
ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate descrip
Visit source ↗Source details
Licence: proprietary
Evidence quality: 36.4
Listed in gee 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
- 2m temperature · 2m dew point temperature · soil temperature (4 layers) · soil volumetric water (4 layers) · snow depth · snow depth water equivalent · snowfall · snowmelt · snow albedo · lake temperatures · lake ice depth · lake mix layer depth · surface radiation and albedo · evaporation components · runoff · 10m wind · precipitation
- Coverage docs-verified
- Global · 1950-01-01 to about three months before real-time
- Resolution docs-verified
- 11132 m (about 11 km) spatial; hourly temporal
- Formats docs-verified
- Google Earth Engine ImageCollection
- Access docs-verified
- Accessed through Google Earth Engine; source acknowledgment required and liability disclaimed per docs; licence listed as proprietary in ENTRY metadata; pricing not stated
Useful for
- Use cases llm-inferred
- Antecedent soil moisture and temperature context for FRA runoff assessments · Snow depth and snowmelt inputs for winter flood or drainage modelling · Lake and reservoir temperature and evaporation checks for water-balance work
- Audience llm-inferred
- hydrologists · flood consultants · drainage engineers · GIS analysts
Limitations
- Constraints docs-verified
- Three evapotranspiration components have swapped values (evabs, evavt, evaow); see the Known Issues section · Data lags real-time by about three months · Accumulated variables reset daily at midnight; hourly bands are derived by differencing · Grid-box averages at 11 km are not point values; compare with observations carefully · Lake depth and surface area are held constant in time
Evidence
- ee.ImageCollection('ECMWF/ERA5_LAND/HOURLY')
- https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.