- |---| | [### 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) | - |---| | [### CPC Global Unified Gauge-Based Analysis of Daily Precipitation ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_CPC_Precipitation_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_CPC_Precipitation.md.txt) | | The CPC Unified Gauge-Based Analysis of Global Daily Precipitation dataset offers daily precipitation estimates over land from 1979 to the present. Developed by NOAA's Climate Prediction Center (CPC), it leverages an optimal interpolation technique to combine data from a global network of rain gauges, with ... | | [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) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### GOES-16 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-16 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-16 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_16_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_16_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-16](https://developers.google.com/earth-engine/datasets/tags/goes-16.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-r](https://developers.google.com/earth-engine/datasets/tags/goes-r.md.txt) | - |---| | [### GOES-17 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-17 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-17 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_17_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_17_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-17](https://developers.google.com/earth-engine/datasets/tags/goes-17.md.txt) [goes-s](https://developers.google.com/earth-engine/datasets/tags/goes-s.md.txt) [mcmip](https://developers.google.com/earth-engine/datasets/tags/mcmip.md.txt) | - |---| | [### GOES-18 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-18 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-18 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_18_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_18_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-18](https://developers.google.com/earth-engine/datasets/tags/goes-18.md.txt) [goes-t](https://developers.google.com/earth-engine/datasets/tags/goes-t.md.txt) [goes-west](https://developers.google.com/earth-engine/datasets/tags/goes-west.md.txt) | - |---| | [### GOES-19 MCMIPC Series ABI Level 2 Cloud and Moisture Imagery CONUS ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPC.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.md.txt) | - |---| | [### GOES-19 MCMIPF Series ABI Level 2 Cloud and Moisture Imagery Full Disk ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPF_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPF.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.md.txt) | - |---| | [### GOES-19 MCMIPM Series ABI Level 2 Cloud and Moisture Imagery Mesoscale ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_GOES_19_MCMIPM_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_GOES_19_MCMIPM.md.txt) | | The Cloud and Moisture Imagery products are all at 2km resolution. Bands 1-6 are reflective. The dimensionless "reflectance factor" quantity is normalized by the solar zenith angle. These bands support the characterization of clouds, vegetation, snow/ice, and aerosols. Bands 7-16 are emissive. The brightness temperature ... | | [abi](https://developers.google.com/earth-engine/datasets/tags/abi.md.txt) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere.md.txt) [goes](https://developers.google.com/earth-engine/datasets/tags/goes.md.txt) [goes-19](https://developers.google.com/earth-engine/datasets/tags/goes-19.md.txt) [goes-east](https://developers.google.com/earth-engine/datasets/tags/goes-east.md.txt) [goes-u](https://developers.google.com/earth-engine/datasets/tags/goes-u.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) | - |---| | [### 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) | - |---| | [### 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) | - |---| | [### NOAA NHC HURDAT2 Atlantic Hurricane Catalog ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NHC_HURDAT2_atlantic_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_atlantic.md.txt) | | Hurricane best track database (HURDAT2). Atlantic basin 1851-2018. | | [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [nhc](https://developers.google.com/earth-engine/datasets/tags/nhc.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) | - |---| | [### NOAA NHC HURDAT2 Pacific Hurricane Catalog ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_NHC_HURDAT2_pacific_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_NHC_HURDAT2_pacific.md.txt) | | Hurricane best track database (HURDAT2). Pacific basin 1949-2018. | | [hurricane](https://developers.google.com/earth-engine/datasets/tags/hurricane.md.txt) [nhc](https://developers.google.com/earth-engine/datasets/tags/nhc.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) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Aqua Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Aqua_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Aqua_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image MODIS Terra Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_MODIS-Terra_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_MODIS-Terra_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [modis](https://developers.google.com/earth-engine/datasets/tags/modis.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) | - |---| | [### Ocean Color SMI: Standard Mapped Image SeaWiFS Data ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_OCEANDATA_SeaWiFS_L3SMI_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_OCEANDATA_SeaWiFS_L3SMI.md.txt) | | This level 3 product includes ocean color and satellite ocean biology data produced or collected under EOSDIS. This dataset may be used for studying the biology and hydrology of coastal zones, changes in the diversity and geographical distribution of coastal marine habitats, biogeochemical fluxes and ... | | [biology](https://developers.google.com/earth-engine/datasets/tags/biology.md.txt) [chlorophyll](https://developers.google.com/earth-engine/datasets/tags/chlorophyll.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [oceandata](https://developers.google.com/earth-engine/datasets/tags/oceandata.md.txt) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans.md.txt) [reflectance](https://developers.google.com/earth-engine/datasets/tags/reflectance.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) | - |---| | [### PRISM Daily Spatial Dataset ANd ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_ANd_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_ANd.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. This collection contains both AN81 and AN91 data, indicated by the 'dataset_type' property. Grids are developed using PRISM (Parameter-elevation Regressions on ... | | [daily](https://developers.google.com/earth-engine/datasets/tags/daily.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.md.txt) | - |---| | [### PRISM Long-Term Normals Dataset Norm91m ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_Norm91m_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather varies with elevation, and ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.md.txt) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) | - |---| | [### PRISM Monthly Spatial Dataset ANm ![](https://developers.google.com/earth-engine/datasets/images/OREGONSTATE/OREGONSTATE_PRISM_ANm_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_ANm.md.txt) | | The PRISM daily and monthly datasets are gridded weather datasets for the conterminous United States, produced by the PRISM Group at Oregon State University. This collection contains both AN81 and AN91 data, as indicated by the 'dataset_type' property. Grids are developed using PRISM (Parameter-elevation Regressions ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure.md.txt) [prism](https://developers.google.com/earth-engine/datasets/tags/prism.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) | - |---| | [### SPL3SMP_E.005 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_005_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_005.md.txt) | | Data starting from 2023-12-04 are available in the NASA/SMAP/SPL3SMP_E/006 collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band radiometer. The daily data here were collected from the descending (local ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL3SMP_E.006 SMAP L3 Radiometer Global Daily 9 km Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL3SMP_E_006_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL3SMP_E_006.md.txt) | | Data prior from 2023-12-04 are available in the older NASA/SMAP/SPL3SMP_E/005 collection. They will eventually be reprocessed and added to this collection. This Level-3 (L3) soil moisture product provides a daily composite of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) L-Band ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.md.txt) | - |---| | [### SPL4SMGP.008 SMAP L4 Global 3-hourly 9-km Surface and Root Zone Soil Moisture ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_SMAP_SPL4SMGP_008_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_SMAP_SPL4SMGP_008.md.txt) | | The SMAP Level-4 (L4) Soil Moisture product includes surface soil moisture (0-5 cm vertical average), root-zone soil moisture (0-100 cm vertical average), and additional research products (not validated), including surface meteorological forcing variables, soil temperature, evapotranspiration, and net radiation. This dataset, formally known as the ... | | [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) [smap](https://developers.google.com/earth-engine/datasets/tags/smap.md.txt) [soil](https://developers.google.com/earth-engine/datasets/tags/soil.md.txt) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture.md.txt) [surface](https://developers.google.com/earth-engine/datasets/tags/surface.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) | - |---| | [### 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) | - |---| | [### WeatherNext 2 ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0.md.txt) | | WeatherNext 2 is an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. The experimental dataset includes real-time and historic data. Real-time data is any data that relates to a time that is ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.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) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 2 Mean ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_2_0_0_mean.md.txt) | | WeatherNext 2 Mean is the mean of 64 ensembles of an experimental dataset of global medium-range ensemble weather forecasts produced by an operational version of Google DeepMind's Functional Network Generative weather model. For a dataset containing all ensemble members, please see the (non-mean) WeatherNext 2 ... | | [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.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) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature.md.txt) [weather](https://developers.google.com/earth-engine/datasets/tags/weather.md.txt) | - |---| | [### WeatherNext 3 (0.05°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p05deg.md.txt) | | WeatherNext 3 (0.05°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.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) | - |---| | [### WeatherNext 3 (0.1°) ![](https://developers.google.com/earth-engine/datasets/images/gcp-public-data-weathernext/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_gcp-public-data-weathernext_assets_weathernext_3_0_0_0p1deg.md.txt) | | WeatherNext 3 (0.1°) dataset is an experimental dataset of global medium-range ensemble weather forecasts by Google DeepMind and Google Research, produced by an operational version of the model described in: WeatherNext 3: Increasing resolution and performance of global weather models with raw observations. Data Access ... | | [flood](https://developers.google.com/earth-engine/datasets/tags/flood.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [gcp-public-data-weathernext](https://developers.google.com/earth-engine/datasets/tags/gcp-public-data-weathernext.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.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) | - |---| | [### 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) |