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The Maximum Likelihood Estimates of Temperatures using HadCRUT5 Version 1.2 (HadCRU_MLE_v1.2) dataset provides global complete surface temperature estimates since 1850, with monthly 5°x5° resolution. It uses more sophisticated statistical models to fill data gaps in…
Main variables and Earth System components
Atmosphere Air Temperature at 2m Ocean SST - sea surface temperatureExperts contributing reviews
- Chan, Duo
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The Dynamically Consistent ENsemble of Temperature (DCENT) provides monthly, global, gridded, surface temperature anomalies since 1850. This product provides combined land surface air temperature (LSAT) and sea surface temperature (SST) anomalies at monthly 5° x 5°…
Main variables and Earth System components
Atmosphere Air Temperature at 2m Ocean SST - sea surface temperatureExperts contributing reviews
Years of record
Precipitation (rain, snow, hail, ...) is one of the key components of the hydrological cycle. Its societal importance cannot be over stated. For climate research, precipitation is one of the key terms for balancing the energy budget, and one of the most challenging aspects…
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Timestep
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Collections
- Overview / Comparison page
Experts contributing reviews
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NASA Goddard's Global Surface Temperature Analysis (GISTEMP) combines land surface air temperatures from GHCN-M version 4 with SSTs of the ERSSTv5 analysis into a comprehensive, global surface temperature data set spanning 1880 to the present at monthly resolution, on a…
Main variables and Earth System components
Atmosphere Air Temperature Ocean SST - sea surface temperature-
Timestep
- Monthly
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Domain
- Global
Experts contributing reviews
- Lenssen, Nathan
Years of record
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ERA5, the successor to ERA-Interim, provides global, hourly estimates of atmospheric, ocean-wave and land-surface variables, at a horizontal resolution of 31 km and 137 levels in the vertical from the surface to 0.01 hPa (about 80km). Produced by ECMWF on behalf of the…
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Timestep
- Sub-daily, Daily, Monthly
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Domain
- Global
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Collections
- Diagnostic Data Sets
Experts contributing reviews
- Hersbach, Hans
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The CRU TS series of data sets (CRU TS = Climatic Research Unit Time series) contain gridded monthly fields of precipitation, daily maximum and minimum temperatures, cloud cover, and other variables covering Earth's land areas for 1901-2022 (CRU TS4.0 is the recent major…
Main variables and Earth System components
Atmosphere Air Temperature Cloud Properties Maximum Air Temperature Minimum Air Temperature Potential Evapotranspiration PrecipitationExperts contributing reviews
Years of record
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Note: HadEX2 has been superseded by HadEX3. HadEX2 provides gridded, station-based indices of temperature- and precipitation- related climate extremes. It is intended for climate change detection and attribution studies and climate model evaluation. Twenty-nine indices,…
Main variables and Earth System components
Atmosphere Maximum Air Temperature Minimum Air Temperature Land Freeze/ThawExperts contributing reviews
Years of record
The International Geosphere–Biosphere Programme (IGBP) defines ecosystems surface classifications. The CERES (Clouds and Earth's Radiant Energy System)10-minute data can be used to derive the land categories.
Experts contributing reviews
Years of record
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A global (82S-82N) cloud fraction data set, providing a unique view of cloud vertical structure, has been developed based on the complimentary spaceborne remote sensing capabilities of the CloudSat radar and the CALISPSO lidar. The data set provides monthly mean cloud…
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Formats
- netCDF
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Timestep
- Monthly, Seasonal, Annual
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Domain
- Global
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Collections
- Diagnostic Data Sets, NCAR-DOE-CESM, atmosdiagnostics
Experts contributing reviews
- Bertrand, Leah, Kay, Jennifer
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The Standardized Precipitation Evapotranspiration Index (SPEI) is an extension of the widely used Standardized Precipitation Index (SPI). The SPEI is designed to take into account both precipitation and potential evapotranspiration (PET) in determining drought. Thus,…
Main variables and Earth System components
Experts contributing reviews
- Vicente-Serrano, Sergio M.