- |---| | [### Breathing Earth System Simulator (BESS) Radiation v1 ![](https://developers.google.com/earth-engine/datasets/images/SNU/SNU_ESL_BESS_Rad_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/SNU_ESL_BESS_Rad_v1.md.txt) | | Breathing Earth System Simulator (BESS) is a simplified process-based model that couples atmosphere and canopy radiative transfers, canopy photosynthesis, transpiration, and energy balance. It couples an atmospheric radiative transfer model and artificial neural network with forcings from MODIS atmospheric products to generate 5-km daily products. ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [gpp](https://developers.google.com/earth-engine/datasets/tags/gpp.md.txt) [modis-derived](https://developers.google.com/earth-engine/datasets/tags/modis-derived.md.txt) [par](https://developers.google.com/earth-engine/datasets/tags/par.md.txt) [radiation](https://developers.google.com/earth-engine/datasets/tags/radiation.md.txt) | - |---| | [### CFSR: Climate Forecast System Reanalysis Harmonized ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CFSR_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSR_HARMONIZED.md.txt) | | The National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) was designed and executed as a global, high-resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over the 32-year period of record from January ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) | - |---| | [### CFSV2: NCEP Climate Forecast System Version 2, 6-Hourly Products Harmonized ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CFSV2_FOR6H_HARMONIZED_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CFSV2_FOR6H_HARMONIZED.md.txt) | | The National Centers for Environmental Prediction (NCEP) Climate Forecast System (CFS) is a fully coupled model representing the interaction between the Earth's atmosphere, oceans, land, and sea ice. CFS was developed at the Environmental Modeling Center (EMC) at NCEP. The operational CFS was upgraded to ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) | - |---| | [### CHIRPS Precipitation Daily Near-Real-Time: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0, IMERG-based) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_DAILY_SAT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_DAILY_SAT.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Daily Reanalysis: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0, ERA5-based) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_DAILY_RNL_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_DAILY_RNL.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Daily: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRPS_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_DAILY.md.txt) | | Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 2.0 Final) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRPS_PENTAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRPS_PENTAD.md.txt) | | Climate Hazards Center InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### CHIRPS Precipitation Pentad: Climate Hazards Center InfraRed Precipitation With Station Data (Version 3.0) ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHC/UCSB-CHC_CHIRPS_V3_PENTAD_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHC_CHIRPS_V3_PENTAD.md.txt) | | The Climate Hazards Center Infrared Precipitation with Stations (CHIRPS v3) is a 40+ year, high-resolution quasi-global rainfall dataset. It spans 60°N to 60°S and covers all longitudes, providing data from 1981 to near-present. CHIRPS v3 combines satellite-based thermal infrared rainfall estimates with in-situ station observations ... | | [chc](https://developers.google.com/earth-engine/datasets/tags/chc.md.txt) [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) | - |---| | [### CHIRTS Temperature Daily: Climate Hazards Center InfraRed Temperature with Stations daily data product ![](https://developers.google.com/earth-engine/datasets/images/UCSB-CHG/UCSB-CHG_CHIRTS_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB-CHG_CHIRTS_DAILY.md.txt) | | The Climate Hazards Center InfraRed Temperature with Stations daily temperature data product (CHIRTS-daily; Verdin et al. 2020) is a quasi global, high-resolution gridded dataset (0.05° × 0.05° resolution, 60°S - 70°N) that provides daily minimum (Tmin) and maximum 2-meter temperatures (Tmax) and four derived variables: saturation vapor ... | | [chg](https://developers.google.com/earth-engine/datasets/tags/chg.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### CPC Global Unified Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CPC_Temperature_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Temperature.md.txt) | | This dataset provides a gridded analysis of daily surface air temperature over global land areas, including daily maximum (Tmax), minimum (Tmin) temperatures. Spanning from 1979 to the present, the data is presented on 0.5-degree latitude/longitude grids, aligning with the resolution of CPC's gauge-based global daily ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### Copernicus Atmosphere Monitoring Service (CAMS) Global Near-Real-Time ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_CAMS_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_CAMS_NRT.md.txt) | | The Copernicus Atmosphere Monitoring Service provides the capacity to continuously monitor the composition of the Earth's atmosphere at global and regional scales. The main global near-real-time production system is a data assimilation and forecasting suite providing two 5-day forecasts per day for aerosols and chemical ... | | [aerosol](https://developers.google.com/earth-engine/datasets/tags/aerosol.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) | - |---| | [### Daymet V4: Daily Surface Weather and Climatological Summaries ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_ORNL_DAYMET_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_ORNL_DAYMET_V4.md.txt) | | Daymet V4 provides gridded estimates of daily weather parameters for Continental North America, Hawaii, and Puerto Rico (Data for Puerto Rico is available starting in 1950). It is derived from selected meteorological station data and various supporting data sources. Compared to the previous version, Daymet ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [daylight](https://developers.google.com/earth-engine/datasets/tags/daylight.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### Drained Organic Soils Emissions (Annual) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GHG_1_DROSE_A_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GHG_1_DROSE_A.md.txt) | | The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 DAILY provides aggregated values for each day for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### ERA5 Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_HOURLY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. It is produced by the Copernicus Climate Change Service (C3S) at ECMWF. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) | - |---| | [### ERA5 Hourly Pressure Levels - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_HOURLY_PRESSURE_LEVELS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_HOURLY_PRESSURE_LEVELS.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. This dataset contains 3D parameters at 37 pressure levels. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) | - |---| | [### ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY.md.txt) | | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR.md.txt) | | 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 ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY.md.txt) | | 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 ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR.md.txt) | | 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 ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.md.txt) | | 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 ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### ERA5-Land Static - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_STATIC.md.txt) | | 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 ... | | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) | - |---| | [### FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001.md.txt) | | The FLDAS dataset (McNally et al. 2017), was designed to assist with food security assessments in data-sparse, developing country settings. It includes information on many climate-related variables including moisture content, humidity, evapotranspiration, average soil temperature, total precipitation rate, etc. There are multiple different FLDAS datasets; ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [ldas](https://developers.google.com/earth-engine/datasets/tags/ldas.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### Farmscapes 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0.md.txt) | | The Farmscapes 2020 dataset provides high-resolution (25cm) probability maps for three key semi-natural features within England's agricultural landscapes: hedgerows, woodland, and stone walls. This dataset was developed in collaboration with the Leverhulme Centre for Nature Recovery at Oxford to serve as a baseline for applications ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Farmscapes 2020 Vectorised ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_farmscapes_england_v1_0_vectorised.md.txt) | | This is the vectorised version of the Farmscapes 2020 raster dataset. It provides polygon geometries representing fine-scale semi-natural landscape features (specifically hedgerows, woodland, and stone walls) across England's agricultural landscapes. This dataset was developed in collaboration with the Oxford Leverhulme Centre for Nature Recovery to ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [ecological-connectivity](https://developers.google.com/earth-engine/datasets/tags/ecological-connectivity.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) | - |---| | [### Forest Typology (ForTy) 2020 v1.0 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_forest_typology_2020_v1_0_collection.md.txt) | | The Forest Typology (ForTy) v1 dataset consists of a global per-class probability map at 10 m resolution covering all land areas between 65°S and 84°N latitude for the year 2020. The six-class typology is aligned with FAO and EU Deforestation Regulation (EUDR) definitions: Class 1 ... | | [alphaearth-derived](https://developers.google.com/earth-engine/datasets/tags/alphaearth-derived.md.txt) [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V1.md.txt) | | This product is the temperature of terrestrial land surface. A newer version JAXA/GCOM-C/L3/LAND/LST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V2.md.txt) | | This product is the temperature of terrestrial land surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Land Surface Temperature (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_LAND_LST_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_LAND_LST_V3.md.txt) | | This product is the temperature of terrestrial land surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [land](https://developers.google.com/earth-engine/datasets/tags/land.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V1) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V1.md.txt) | | This product is the temperature of sea surface. A newer version JAXA/GCOM-C/L3/OCEAN/SST/V3 is also available for this dataset which uses this algorithm for processing. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V2) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V2.md.txt) | | This product is the temperature of sea surface. For data after 2021-11-28, see the V3 dataset. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate projections regarding future ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GCOM-C/SGLI L3 Sea Surface Temperature (V3) ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GCOM-C_L3_OCEAN_SST_V3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GCOM-C_L3_OCEAN_SST_V3.md.txt) | | This product is the temperature of sea surface. This is an ongoing dataset with a latency of 3-4 days. GCOM-C conducts long-term and continuous global observation and data collection to elucidate the mechanism behind fluctuations in radiation budget and carbon cycle needed to make accurate ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [g-portal](https://developers.google.com/earth-engine/datasets/tags/g-portal.md.txt) [gcom](https://developers.google.com/earth-engine/datasets/tags/gcom.md.txt) [gcom-c](https://developers.google.com/earth-engine/datasets/tags/gcom-c.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### GFS: Global Forecast System 384-Hour Predicted Atmosphere Data ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GFS0P25_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GFS0P25.md.txt) | | The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). The GFS dataset consists of selected model outputs (described below) as gridded forecast variables. The 384-hour forecasts, with 1-hour (up to 120 hours) and 3-hour (after ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [flux](https://developers.google.com/earth-engine/datasets/tags/flux.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) | - |---| | [### GLDAS-2.1: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V021_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GLDAS-2.2: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GPM: Global Precipitation Measurement (GPM) Release 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) v6 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V06_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V06.md.txt) | | IMERG-Final version "06" stopped being produced in September, 2021. Version "07" is expected to be released in September 2022 Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GPM: Monthly Global Precipitation Measurement (GPM) vRelease 07 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GPM_L3_IMERG_MONTHLY_V07_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GPM_L3_IMERG_MONTHLY_V07.md.txt) | | Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. The Integrated Multi-satellitE Retrievals for GPM (IMERG) is the unified algorithm that provides rainfall estimates combining data from all passive-microwave instruments in the GPM ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### GRIDMET DROUGHT: CONUS Drought Indices ![](https://developers.google.com/earth-engine/datasets/images/GRIDMET/GRIDMET_DROUGHT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GRIDMET_DROUGHT.md.txt) | | This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### GRIDMET: University of Idaho Gridded Surface Meteorological Dataset ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET.md.txt) | | The Gridded Surface Meteorological dataset provides high spatial resolution (\~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gridmet](https://developers.google.com/earth-engine/datasets/tags/gridmet.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) [metdata](https://developers.google.com/earth-engine/datasets/tags/metdata.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V6 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v6_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V7 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v7_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v7_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Operational: Global Satellite Mapping of Precipitation - V8 ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v8_operational_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v8_operational.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### GSMaP Reanalysis: Global Satellite Mapping of Precipitation ![](https://developers.google.com/earth-engine/datasets/images/JAXA/JAXA_GPM_L3_GSMaP_v6_reanalysis_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JAXA_GPM_L3_GSMaP_v6_reanalysis.md.txt) | | Global Satellite Mapping of Precipitation (GSMaP) provides a global hourly rain rate with a 0.1 x 0.1 degree resolution. GSMaP is a product of the Global Precipitation Measurement (GPM) mission, which provides global precipitation observations at three hour intervals. Values are estimated using multi-band passive ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### Global map of Local Climate Zones, latest version ![](https://developers.google.com/earth-engine/datasets/images/RUB/RUB_RUBCLIM_LCZ_global_lcz_map_latest_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/RUB_RUBCLIM_LCZ_global_lcz_map_latest.md.txt) | | Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for characterizing urban landscapes, providing a holistic classification approach that takes into account micro-scale land-cover and associated physical properties. This global map of Local Climate Zones, at 100m pixel size and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [landcover](https://developers.google.com/earth-engine/datasets/tags/landcover.md.txt) [landuse-landcover](https://developers.google.com/earth-engine/datasets/tags/landuse-landcover.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) | - |---| | [### International Best Track Archive for Climate Stewardship Project ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_IBTrACS_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_IBTrACS_v4.md.txt) | | The International Best Track Archive for Climate Stewardship (IBTrACS) provides location and intensity for global tropical cyclones. The data span from the 1840s to present, generally providing data at 3-hour intervals. While the best track data is focused on position and intensity (maximum sustained wind ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [table](https://developers.google.com/earth-engine/datasets/tags/table.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA_MONTHLY.md.txt) | | The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho.md.txt) [maca](https://developers.google.com/earth-engine/datasets/tags/maca.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_MACAv2_METDATA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_MACAv2_METDATA.md.txt) | | The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho.md.txt) [maca](https://developers.google.com/earth-engine/datasets/tags/maca.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_flx_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_flx_2.md.txt) | | M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [sea-salt](https://developers.google.com/earth-engine/datasets/tags/sea-salt.md.txt) [so2](https://developers.google.com/earth-engine/datasets/tags/so2.md.txt) [so4](https://developers.google.com/earth-engine/datasets/tags/so4.md.txt) | - |---| | [### MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_lnd_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2.md.txt) | | M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such a baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### MERRA-2 M2T1NXRAD: Radiation Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_rad_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_rad_2.md.txt) | | M2T1NXRAD (or tavg1_2d_rad_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of radiation diagnostics, such as surface albedo, cloud area fraction, in cloud optical thickness, surface incoming shortwave flux (i.e. solar radiation), surface ... | | [albedo](https://developers.google.com/earth-engine/datasets/tags/albedo.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [shortwave](https://developers.google.com/earth-engine/datasets/tags/shortwave.md.txt) | - |---| | [### MERRA-2 M2T1NXSLV: Single-Level Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_slv_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_slv_2.md.txt) | | M2T1NXSLV (or tavg1_2d_slv_Nx) is an hourly time-averaged 2-dimensional data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of meteorology diagnostics at popularly used vertical levels, such as air temperature at 2-meter (or at 10-meter, 850hPa, 500 hPa, 250hPa), ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) | - |---| | [### MOD08_M3.061 Terra Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD08_M3.md.txt) | | MOD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### MYD08_M3.061 Aqua Atmosphere Monthly Global Product ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD08_M3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD08_M3.md.txt) | | MYD08_M3 V6.1 is an atmosphere global product that contains monthly 1 x 1 degree grid average values of atmospheric parameters. These parameters are related to atmospheric aerosol particle properties, total ozone burden, atmospheric water vapor, cloud optical and physical properties, and atmospheric stability indices. The ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### MethaneAIR L3 Concentration V1.1.0 ![](https://developers.google.com/earth-engine/datasets/images/edf-methanesat-ee/projects_edf-methanesat-ee_assets_mair_L3concentration_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_edf-methanesat-ee_assets_mair_L3concentration.md.txt) | | This dataset provides geospatial data for the total column dry air mole fraction of methane in the atmosphere, "XCH4", as observed by the MethaneAIR imaging spectrometer. XCH4 is defined as the total column amount (number of molecules) of methane ("CH4") divided by the total amount ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [edf-methanesat-ee](https://developers.google.com/earth-engine/datasets/tags/edf-methanesat-ee.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### MethaneAIR L3 Concentration v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L3concentration_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L3concentration.md.txt) | | This dataset provides geospatial data for the total column dry air mole fraction of methane in the atmosphere, "XCH4", as observed by the MethaneAIR imaging spectrometer. XCH4 is defined as the total column amount (number of molecules) of methane ("CH4") divided by the total amount ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### MethaneAIR L4 Area Sources v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L4area_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L4area.md.txt) | | The area emissions model is still in development and not representative of a final product. This dataset provides spatially disaggregated methane emission fluxes (kg/hr) using measurements from MethaneAIR flights focused on oil and gas producing regions throughout the United States. Total emissions for the survey ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### MethaneAIR L4 Point Sources V1.1.0 ![](https://developers.google.com/earth-engine/datasets/images/edf-methanesat-ee/projects_edf-methanesat-ee_assets_mair_L4point_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_edf-methanesat-ee_assets_mair_L4point.md.txt) | | This dataset provides data for high-emitting methane point source detections (kg/hr) over 13 oil and gas or coal extraction areas from Colorado, New Mexico, and Texas in the west to Pennsylvania, Ohio, and West Virginia in the east, plus three urban areas (New York City, ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [edf-methanesat-ee](https://developers.google.com/earth-engine/datasets/tags/edf-methanesat-ee.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### MethaneAIR L4 Point Sources v1 ![](https://developers.google.com/earth-engine/datasets/images/EDF/EDF_MethaneSAT_MethaneAIR_L4point_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/EDF_MethaneSAT_MethaneAIR_L4point.md.txt) | | This dataset provides data for high-emitting methane point source detections (kg/hr) over 13 oil and gas or coal extraction areas from Colorado, New Mexico, and Texas in the west to Pennsylvania, Ohio, and West Virginia in the east, plus three urban areas (New York City, ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [edf](https://developers.google.com/earth-engine/datasets/tags/edf.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) [methane](https://developers.google.com/earth-engine/datasets/tags/methane.md.txt) | - |---| | [### NCEP-DOE Reanalysis 2 (Gaussian Grid), Total Cloud Coverage ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NCEP_DOE_RE2_total_cloud_coverage_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NCEP_DOE_RE2_total_cloud_coverage.md.txt) | | This collection is no longer being updated. The Model is no longer being updated at the source. NCEP-DOE Reanalysis 2 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1979 through the previous year. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Sea-Level Pressure \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_sea_level_pressure_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_sea_level_pressure.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Surface Temperature \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_surface_temp_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_temp.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### NCEP/NCAR Reanalysis Data, Water Vapor \[deprecated\] ![](https://developers.google.com/earth-engine/datasets/images/NCEP_RE/NCEP_RE_surface_wv_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NCEP_RE_surface_wv.md.txt) | | The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ncep](https://developers.google.com/earth-engine/datasets/tags/ncep.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reanalysis](https://developers.google.com/earth-engine/datasets/tags/reanalysis.md.txt) | - |---| | [### NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30.md.txt) | | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GDDP-CMIP6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6.md.txt) | | The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6, see Thrasher et al. 2022) and across two of the four "Tier 1" greenhouse gas emissions scenarios ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) | - |---| | [### NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-GDDP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-GDDP.md.txt) | | The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across two of the four greenhouse ... | | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) | - |---| | [### NLDAS-2: North American Land Data Assimilation System Forcing Fields ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NLDAS_FORA0125_H002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002.md.txt) | | Land Data Assimilation System (LDAS) combines multiple sources of observations (such as precipitation gauge data, satellite data, and radar precipitation measurements) to produce estimates of climatological properties at or near the Earth''s surface. This dataset is the primary (default) forcing file (File A) for Phase ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) | - |---| | [### NOAA CDR GRIDSAT-B1: Geostationary IR Channel Brightness Temperature ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_GRIDSAT-B1_V2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_GRIDSAT-B1_V2.md.txt) | | Note: This dataset has not been updated by the provider since 2024-03-31 due to ongoing infrastructure updates. There is no current timeline for when dataset updates will resume. This dataset provides a high quality Climate Data Record (CDR) of global infrared measurements from geostationary satellites. ... | | [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [infrared](https://developers.google.com/earth-engine/datasets/tags/infrared.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.md.txt) | - |---| | [### NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CDR_PATMOSX_V53_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CDR_PATMOSX_V53.md.txt) | | This dataset provides high quality Climate Data Record (CDR) of multiple cloud properties along with Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmospheres Extended (PATMOS-x) brightness temperatures and reflectances. These data have been fitted to a 0.1 x 0.1 equal angle-grid with both ascending and ... | | [atmospheric](https://developers.google.com/earth-engine/datasets/tags/atmospheric.md.txt) [avhrr](https://developers.google.com/earth-engine/datasets/tags/avhrr.md.txt) [brightness](https://developers.google.com/earth-engine/datasets/tags/brightness.md.txt) [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) | - |---| | [### Natural Forests of the World 2020 ![](https://developers.google.com/earth-engine/datasets/images/nature-trace/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_nature-trace_assets_forest_typology_natural_forest_2020_v1_0_collection.md.txt) | | Natural Forests of the World 2020, provides a global map of natural forest probability for the year 2020 at a 10-meter resolution. It was developed to support initiatives like the European Union's Deforestation Regulation (EUDR) and other efforts for forest conservation and monitoring. The map ... | | [biodiversity](https://developers.google.com/earth-engine/datasets/tags/biodiversity.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conservation](https://developers.google.com/earth-engine/datasets/tags/conservation.md.txt) [deforestation](https://developers.google.com/earth-engine/datasets/tags/deforestation.md.txt) [eudr](https://developers.google.com/earth-engine/datasets/tags/eudr.md.txt) [forest](https://developers.google.com/earth-engine/datasets/tags/forest.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Median ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_M_v01.md.txt) | | Land Surface Temperature daytime monthly mean value 2000-2017. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access and visualize maps outside of Earth Engine, use this page. ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01.md.txt) | | Long-term MODIS LST day-time and night-time temperatures standard deviation at 1 km based on the 2000-2017 time series. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### OpenLandMap Long-term Land Surface Temperature Monthly Day-Night Difference ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAYNIGHT_M_v01.md.txt) | | Long-term MODIS LST day-time and night-time differences at 1 km based on the 2000-2017 time series Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access and visualize ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [day](https://developers.google.com/earth-engine/datasets/tags/day.md.txt) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix.md.txt) [lst](https://developers.google.com/earth-engine/datasets/tags/lst.md.txt) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) | - |---| | [### Oya: 5km Quasi-Global Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/global-precipitation-nowcast/projects_global-precipitation-nowcast_assets_global_estimation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_global-precipitation-nowcast_assets_global_estimation.md.txt) | | Oya is a quasi-global, high-resolution precipitation estimation dataset derived from geostationary (GEO) satellite observations. The Oya model utilizes the full spectrum of visible and infrared (VIS-IR) channels from a constellation of GEO satellites --- including GOES-16/18, Meteosat-9/10, and Himawari-8/9 --- to generate precipitation estimates covering ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### PARDIG LR (Long-Record) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_LR.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PARDIG NRT (Near-Real-Time) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_PARDIG_1_NRT.md.txt) | | PARDIG (Precipitation AI Reanalysis - Densely Inferred GPM) is an experimental dataset of global AI-driven precipitation estimates by Google DeepMind and Google Research, produced by the model described in: Global Precipitation Estimates Learned from Sparse Satellite Observations. PARDIG is produced by an AI model that ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm.md.txt) [hydrology](https://developers.google.com/earth-engine/datasets/tags/hydrology.md.txt) [meteorology](https://developers.google.com/earth-engine/datasets/tags/meteorology.md.txt) | - |---| | [### PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_PERSIANN-CDR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR.md.txt) | | PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine ... | | [cdr](https://developers.google.com/earth-engine/datasets/tags/cdr.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### RTMA: Real-Time Mesoscale Analysis ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NWS_RTMA_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NWS_RTMA.md.txt) | | The Real-Time Mesoscale Analysis (RTMA) is a high-spatial and temporal resolution analysis for near-surface weather conditions. This dataset includes hourly analyses at 2.5 km for CONUS. | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cloud](https://developers.google.com/earth-engine/datasets/tags/cloud.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa.md.txt) | - |---| | [### Reprocessed GLDAS-2.0: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V20_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V20_NOAH_G025_T3H.md.txt) | | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) | - |---| | [### SPEIbase: Standardised Precipitation-Evapotranspiration Index database, Version 2.11 ![](https://developers.google.com/earth-engine/datasets/images/CSIC/CSIC_SPEI_2_11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_11.md.txt) | | The Global SPEI database (SPEIbase) offers long-time robust information about drought conditions at the global scale, with a 0.5 degree pixel size and monthly cadence. It provides SPEI time scales from 1 to 48 months. The Standardized Precipitation-Evapotranspiration Index (SPEI) expresses, as a standardized variate ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) | - |---| | [### Sentinel-5P OFFL CH4: Offline Methane ![](https://developers.google.com/earth-engine/datasets/images/COPERNICUS/COPERNICUS_S5P_OFFL_L3_CH4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_CH4.md.txt) | | OFFL/L3_CH4 This dataset provides offline high-resolution imagery of methane concentrations. Methane (CH4) is, after carbon dioxide (CO2), the most important contributor to the anthropogenically enhanced greenhouse effect. Roughly three-quarters of methane emissions are anthropogenic and as such, it is important to continue the record of ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [esa](https://developers.google.com/earth-engine/datasets/tags/esa.md.txt) [eu](https://developers.google.com/earth-engine/datasets/tags/eu.md.txt) [knmi](https://developers.google.com/earth-engine/datasets/tags/knmi.md.txt) | - |---| | [### TOMS and OMI Merged Ozone Data v4 ![](https://developers.google.com/earth-engine/datasets/images/TOMS/TOMS_MERGED_V4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TOMS_MERGED_V4.md.txt) | | The Total Ozone Mapping Spectrometer (TOMS) data represent the primary long-term, continuous record of satellite-based observations available for use in monitoring global and regional trends in total ozone over the past 25 years. The data are produced by the Laboratory for Atmospheres at NASA's Goddard ... | | [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [ozone](https://developers.google.com/earth-engine/datasets/tags/ozone.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) | - |---| | [### TRMM 3B42: 3-Hourly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B42_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B42.md.txt) | | The Tropical Rainfall Measuring Mission (TRMM) is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) designed to monitor and study tropical rainfall. The 34B2 product contains a gridded, TRMM-adjusted, merged infrared precipitation (mm/hr) and RMS precipitation-error estimate, with a 3-hour temporal ... | | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) | - |---| | [### TRMM 3B43: Monthly Precipitation Estimates ![](https://developers.google.com/earth-engine/datasets/images/TRMM/TRMM_3B43V7_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/TRMM_3B43V7.md.txt) | | This collection is no longer being updated. See IMERG monthly This dataset algorithmically merges microwave data from multiple satellites, including SSMI, SSMIS, MHS, AMSU-B and AMSR-E, each inter-calibrated to the TRMM Combined Instrument. Algorithm 3B43 is executed once per calendar month to produce the single, ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [rainfall](https://developers.google.com/earth-engine/datasets/tags/rainfall.md.txt) | - |---| | [### TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_TERRACLIMATE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE.md.txt) | | TerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) | - |---| | [### The Climate Hazards Center (CHC) Coupled Model Intercomparison Project Phase 6 (CHC-CMIP6) ![](https://developers.google.com/earth-engine/datasets/images/UCSB/UCSB_CHC_CMIP6_v1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/UCSB_CHC_CMIP6_v1.md.txt) | | CHC-CMIP6 was explicitly developed to support the analysis of climate-related hazards over the recent past and in the near-future. This climate projection dataset contains global, daily gridded data for the observational (1983-2016) and projection (2030 and 2050) periods to be used in the identification and ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [ucsb](https://developers.google.com/earth-engine/datasets/tags/ucsb.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### UN FAO Drained Organic Soils Area (Annual) 1.0 ![](https://developers.google.com/earth-engine/datasets/images/FAO/FAO_GHG_1_DROSA_A_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/FAO_GHG_1_DROSA_A.md.txt) | | The two related FAO datasets on Drained Organic Soils provide estimates of: DROSA-A: area of Organic Soils (in hectares) drained for agricultural activities (cropland and grazed grassland) DROSE-A: carbon (C) and nitrous oxide (N2O) estimates (in gigagrams) from the agricultural drainage of organic soils under ... | | [agriculture](https://developers.google.com/earth-engine/datasets/tags/agriculture.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [emissions](https://developers.google.com/earth-engine/datasets/tags/emissions.md.txt) [fao](https://developers.google.com/earth-engine/datasets/tags/fao.md.txt) [ghg](https://developers.google.com/earth-engine/datasets/tags/ghg.md.txt) | - |---| | [### WorldClim BIO Variables V1 ![](https://developers.google.com/earth-engine/datasets/images/WORLDCLIM/WORLDCLIM_V1_BIO_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WORLDCLIM_V1_BIO.md.txt) | | WorldClim V1 Bioclim provides bioclimatic variables that are derived from the monthly temperature and rainfall in order to generate more biologically meaningful values. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation), seasonality (e.g., annual range in temperature and precipitation), and extreme ... | | [berkeley](https://developers.google.com/earth-engine/datasets/tags/berkeley.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WorldClim Climatology V1 ![](https://developers.google.com/earth-engine/datasets/images/WORLDCLIM/WORLDCLIM_V1_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/WORLDCLIM_V1_MONTHLY.md.txt) | | WorldClim version 1 has average monthly global climate data for minimum, mean, and maximum temperature and for precipitation. WorldClim version 1 was developed by Robert J. Hijmans, Susan Cameron, and Juan Parra, at the Museum of Vertebrate Zoology, University of California, Berkeley, in collaboration with ... | | [berkeley](https://developers.google.com/earth-engine/datasets/tags/berkeley.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Annual Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Composites of Yearly Summertime Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_Summer_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_Summer_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Pixel-Level Yearly Composites of Wintertime Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_Winter_UHI_yearly_pixel_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Daytime and Nighttime Intensity for Annual, Summer, and Winter ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_all_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_all_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Monthly Composites of Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_monthly_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_monthly_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) | - |---| | [### YCEO Surface Urban Heat Islands: Spatially-Averaged Yearly Composites of Annual Daytime and Nighttime Intensity ![](https://developers.google.com/earth-engine/datasets/images/YALE/YALE_YCEO_UHI_UHI_yearly_averaged_v4_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_yearly_averaged_v4.md.txt) | | This dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent ... | | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [uhi](https://developers.google.com/earth-engine/datasets/tags/uhi.md.txt) [urban](https://developers.google.com/earth-engine/datasets/tags/urban.md.txt) [weather-and-climate](https://developers.google.com/earth-engine/datasets/tags/weather-and-climate.md.txt) [yale](https://developers.google.com/earth-engine/datasets/tags/yale.md.txt) |