- |---| | [### 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) | | 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) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity) [ldas](https://developers.google.com/earth-engine/datasets/tags/ldas) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### FireCCI51: MODIS Fire_cci Burned Area Pixel Product, Version 5.1 ![](https://developers.google.com/earth-engine/datasets/images/ESA/ESA_CCI_FireCCI_5_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ESA_CCI_FireCCI_5_1) | | The MODIS Fire_cci Burned Area pixel product version 5.1 (FireCCI51) is a monthly global \~250m spatial resolution dataset containing information on burned area as well as ancillary data. It is based on surface reflectance in the Near Infrared (NIR) band from the MODIS instrument onboard ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn) [cci](https://developers.google.com/earth-engine/datasets/tags/cci) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus) [esa](https://developers.google.com/earth-engine/datasets/tags/esa) [fire](https://developers.google.com/earth-engine/datasets/tags/fire) | - |---| | [### GFW (Global Fishing Watch) Daily Fishing Hours ![](https://developers.google.com/earth-engine/datasets/images/GFW/GFW_GFF_V1_fishing_hours_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GFW_GFF_V1_fishing_hours) | | Fishing effort, measured in hours of inferred fishing activity. Each asset is the effort for a given flag state and day, with one band for the fishing activity of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program ... | | [fishing](https://developers.google.com/earth-engine/datasets/tags/fishing) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans) | - |---| | [### GFW (Global Fishing Watch) Daily Vessel Hours ![](https://developers.google.com/earth-engine/datasets/images/GFW/GFW_GFF_V1_vessel_hours_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GFW_GFF_V1_vessel_hours) | | Fishing vessel presence, measured in hours per square km. Each asset is the vessel presence for a given flag state and day, with one band for the presence of each gear type. See sample Earth Engine scripts. Also see the main GFW site for program ... | | [fishing](https://developers.google.com/earth-engine/datasets/tags/fishing) [gfw](https://developers.google.com/earth-engine/datasets/tags/gfw) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [oceans](https://developers.google.com/earth-engine/datasets/tags/oceans) | - |---| | [### 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) | | 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) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [gpm](https://developers.google.com/earth-engine/datasets/tags/gpm) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg) [jaxa](https://developers.google.com/earth-engine/datasets/tags/jaxa) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### JRC Monthly Water History, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_MonthlyHistory_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyHistory) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [google](https://developers.google.com/earth-engine/datasets/tags/google) [history](https://developers.google.com/earth-engine/datasets/tags/history) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### JRC Monthly Water Recurrence, v1.4 ![](https://developers.google.com/earth-engine/datasets/images/JRC/JRC_GSW1_4_MonthlyRecurrence_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/JRC_GSW1_4_MonthlyRecurrence) | | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... | | [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [google](https://developers.google.com/earth-engine/datasets/tags/google) [history](https://developers.google.com/earth-engine/datasets/tags/history) [jrc](https://developers.google.com/earth-engine/datasets/tags/jrc) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [conus](https://developers.google.com/earth-engine/datasets/tags/conus) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho) [maca](https://developers.google.com/earth-engine/datasets/tags/maca) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [conus](https://developers.google.com/earth-engine/datasets/tags/conus) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [idaho](https://developers.google.com/earth-engine/datasets/tags/idaho) [maca](https://developers.google.com/earth-engine/datasets/tags/maca) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### MCD64A1.061 MODIS Burned Area Monthly Global 500m ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MCD64A1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1) | | The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm ... | | [burn](https://developers.google.com/earth-engine/datasets/tags/burn) [change-detection](https://developers.google.com/earth-engine/datasets/tags/change-detection) [fire](https://developers.google.com/earth-engine/datasets/tags/fire) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [global](https://developers.google.com/earth-engine/datasets/tags/global) [mcd64a1](https://developers.google.com/earth-engine/datasets/tags/mcd64a1) | - |---| | [### 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) | | 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) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [global](https://developers.google.com/earth-engine/datasets/tags/global) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### MOD13A3.061 Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD13A3) | | The MOD13A3 V6.1 product data is provided monthly at 1 kilometer (km) spatial resolution. In generating this monthly product, the algorithm ingests all the MOD13A2 products that overlap the month and employs a weighted temporal average. Vegetation indices are used for global monitoring of vegetation ... | | [evi](https://developers.google.com/earth-engine/datasets/tags/evi) [global](https://developers.google.com/earth-engine/datasets/tags/global) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [ndvi](https://developers.google.com/earth-engine/datasets/tags/ndvi) | - |---| | [### MOD21C3.061 Terra Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MOD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD21C3) | | The MOD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the ... | | [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity) [global](https://developers.google.com/earth-engine/datasets/tags/global) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [surface-temperature](https://developers.google.com/earth-engine/datasets/tags/surface-temperature) | - |---| | [### 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) | | 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) [atmosphere](https://developers.google.com/earth-engine/datasets/tags/atmosphere) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [global](https://developers.google.com/earth-engine/datasets/tags/global) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) | - |---| | [### MYD13A3.061 Aqua Vegetation Indices Monthly L3 Global 1 km SIN Grid ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD13A3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD13A3) | | The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13A3) Version 6.1 data are provided monthly at 1 kilometer (km) spatial resolution as a gridded Level 3 product in the sinusoidal projection. In generating this monthly product, the algorithm ingests all the MYD13A2 products that ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua) [evi](https://developers.google.com/earth-engine/datasets/tags/evi) [global](https://developers.google.com/earth-engine/datasets/tags/global) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) | - |---| | [### MYD21C3.061 Aqua Land Surface Temperature and 3-Band Emissivity Monthly L3 Global 0.05 Deg CMG ![](https://developers.google.com/earth-engine/datasets/images/MODIS/MODIS_061_MYD21C3_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD21C3) | | The MYD21C3 dataset is a monthly composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MYD21A1D and MYD21A1N daily acquisitions from the 8-day period. Unlike the MYD21A1 data sets where the ... | | [aqua](https://developers.google.com/earth-engine/datasets/tags/aqua) [emissivity](https://developers.google.com/earth-engine/datasets/tags/emissivity) [global](https://developers.google.com/earth-engine/datasets/tags/global) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) | - |---| | [### OpenET DisALEXI Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_0) | | Atmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land Exchange Inverse (ALEXI/DisALEXI). DisALEXI was ported to Google Earth Engine as part of the OpenET framework. The baseline ALEXI/DisALEXI model structure is described by Anderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model specifically uses time ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) [water](https://developers.google.com/earth-engine/datasets/tags/water) | - |---| | [### OpenET DisALEXI Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_disalexi_conus_gridmet_monthly_v2_1) | | Atmosphere-Land Exchange Inverse / Disaggregation of the Atmosphere-Land Exchange Inverse (ALEXI/DisALEXI). DisALEXI was ported to Google Earth Engine as part of the OpenET framework. The baseline ALEXI/DisALEXI model structure is described by Anderson et al. (2012, 2018). The ALEXI evapotranspiration (ET) model specifically uses time ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) [water](https://developers.google.com/earth-engine/datasets/tags/water) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_0_pre2000) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET Ensemble Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ensemble_conus_gridmet_monthly_v2_1) | | The OpenET dataset includes satellite-based data on the total amount of water that is transferred from the land surface to the atmosphere through the process of evapotranspiration (ET). OpenET provides ET data from multiple satellite-driven models, and also calculates a single "ensemble value" from the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_0_pre2000) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET PT-JPL Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ptjpl_conus_gridmet_monthly_v2_1) | | Priestley-Taylor Jet Propulsion Laboratory (PT-JPL). The core formulation of the PT-JPL model within the OpenET framework has not changed from the original formulation detailed in Fisher et al. (2008). However, enhancements and updates to model inputs and time integration for PT-JPL were made to take ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_0) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_0_pre2000) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SIMS Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_sims_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_sims_conus_gridmet_monthly_v2_1) | | Satellite Irrigation Management Support (SIMS). The NASA Satellite Irrigation Management Support (SIMS) model was originally developed to support satellite mapping of crop coefficients and evapotranspiration (ET) from irrigated lands and to increase access to this data to support use in irrigation scheduling and regional assessment ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model by Senay et al. (2013, 2017) is a thermal-based simplified surface energy model for estimating actual ET based on the principles of satellite psychrometry (Senay 2018). The OpenET SSEBop implementation uses ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_0_pre2000) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model by Senay et al. (2013, 2017) is a thermal-based simplified surface energy model for estimating actual ET based on the principles of satellite psychrometry (Senay 2018). The OpenET SSEBop implementation uses ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET SSEBop Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_ssebop_conus_gridmet_monthly_v2_1) | | Operational Simplified Surface Energy Balance (SSEBop). The Operational Simplified Surface Energy Balance (SSEBop) model (Senay et al., 2013; 2023) is a thermal based approach for estimating actual evapotranspiration (ET) using the principles of satellite psychrometry (Senay, 2018). As one of the core models in the ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_0_pre2000) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET eeMETRIC Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_eemetric_conus_gridmet_monthly_v2_1) | | Google Earth Engine implementation of the Mapping Evapotranspiration at high Resolution with Internalized Calibration model (eeMETRIC). eeMETRIC applies the advanced METRIC algorithms and process of Allen et al. (2007; 2015) and Allen et al. (2013b), where a singular relationship between the near surface air temperature ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.0 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.0 (1985-1999) ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_pre2000_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_0_pre2000) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### OpenET geeSEBAL Monthly Evapotranspiration v2.1 ![](https://developers.google.com/earth-engine/datasets/images/OpenET/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_1_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_openet_assets_geesebal_conus_gridmet_monthly_v2_1) | | Google Earth Engine implementation of the Surface Energy Balance Algorithm for Land (SEBAL) model. An overview of the current geeSEBAL version can be found in Laipelt et al. (2021), which is based on the original algorithms developed by Bastiaanssen et al. (1998). The OpenET geeSEBAL ... | | [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [gridmet-derived](https://developers.google.com/earth-engine/datasets/tags/gridmet-derived) [landsat-derived](https://developers.google.com/earth-engine/datasets/tags/landsat-derived) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [openet](https://developers.google.com/earth-engine/datasets/tags/openet) [publisher-dataset](https://developers.google.com/earth-engine/datasets/tags/publisher-dataset) | - |---| | [### 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) | | 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) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [day](https://developers.google.com/earth-engine/datasets/tags/day) [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [lst](https://developers.google.com/earth-engine/datasets/tags/lst) [mod11a2](https://developers.google.com/earth-engine/datasets/tags/mod11a2) [modis](https://developers.google.com/earth-engine/datasets/tags/modis) | - |---| | [### OpenLandMap Potential FAPAR Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_PNV_PNV_FAPAR_PROBA-V_D_v01) | | Potential Natural Vegetation FAPAR predicted monthly median (based on PROB-V FAPAR 2014-2017). Description. To access and visualize maps outside of Earth Engine, use this page. If you discover a bug, artifact or inconsistency in the LandGIS maps or if you have a question please use ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [fapar](https://developers.google.com/earth-engine/datasets/tags/fapar) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [plant-productivity](https://developers.google.com/earth-engine/datasets/tags/plant-productivity) | - |---| | [### OpenLandMap Precipitation Monthly ![](https://developers.google.com/earth-engine/datasets/images/OpenLandMap/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_PRECIPITATION_SM2RAIN_M_v01) | | Monthly precipitation in mm at 1 km resolution based on SM2RAIN-ASCAT 2007-2018, IMERG, CHELSA Climate, and WorldClim. Downscaled to 1 km resolution using gdalwarp (cubic splines) and an average between WorldClim, CHELSA Climate, and IMERG monthly product (see, e.g, "3B-MO-L.GIS.IMERG.20180601.V05B.tif"). 3x higher weight is given ... | | [envirometrix](https://developers.google.com/earth-engine/datasets/tags/envirometrix) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) | - |---| | [### 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) | | 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) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [oregonstate](https://developers.google.com/earth-engine/datasets/tags/oregonstate) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) [pressure](https://developers.google.com/earth-engine/datasets/tags/pressure) [prism](https://developers.google.com/earth-engine/datasets/tags/prism) | - |---| | [### 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) | | 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) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change) [drought](https://developers.google.com/earth-engine/datasets/tags/drought) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [global](https://developers.google.com/earth-engine/datasets/tags/global) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) | - |---| | [### 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) | | 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) [drought](https://developers.google.com/earth-engine/datasets/tags/drought) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) [global](https://developers.google.com/earth-engine/datasets/tags/global) [merced](https://developers.google.com/earth-engine/datasets/tags/merced) | - |---| | [### VIIRS Nighttime Day/Night Band Composites Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG) | | Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. ... | | [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb) [eog](https://developers.google.com/earth-engine/datasets/tags/eog) [lights](https://developers.google.com/earth-engine/datasets/tags/lights) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa) | - |---| | [### VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1 ![](https://developers.google.com/earth-engine/datasets/images/NOAA/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG) | | Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. ... | | [dnb](https://developers.google.com/earth-engine/datasets/tags/dnb) [eog](https://developers.google.com/earth-engine/datasets/tags/eog) [lights](https://developers.google.com/earth-engine/datasets/tags/lights) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [nighttime](https://developers.google.com/earth-engine/datasets/tags/nighttime) [noaa](https://developers.google.com/earth-engine/datasets/tags/noaa) | - |---| | [### 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) | | 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) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature) [weather](https://developers.google.com/earth-engine/datasets/tags/weather) | - |---| | [### 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) | | 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) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) [temperature](https://developers.google.com/earth-engine/datasets/tags/temperature) [weather](https://developers.google.com/earth-engine/datasets/tags/weather) |