-

  |---|
  | [### ECMWF Near-Realtime IFS Atmospheric Forecasts ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_NRT_FORECAST_IFS_OPER_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_NRT_FORECAST_IFS_OPER) |
  | This dataset contains 15-day forecasts of the atmospheric model variables generated by the ECMWF Integrated Forecasting System (IFS) at 0.25 degree resolution. We refer to these as Near-Realtime (NRT) because new products are released twice a day after the release of the ECMWF realtime forecast ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast) [global](https://developers.google.com/earth-engine/datasets/tags/global) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity) |

-

  |---|
  | [### 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) |

-

  |---|
  | [### GLDAS-2.1: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V021_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H) |
  | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... |
  | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) |

-

  |---|
  | [### GLDAS-2.2: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V022_CLSM_G025_DA1D_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V022_CLSM_G025_DA1D) |
  | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... |
  | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) |

-

  |---|
  | [### MERRA-2 M2T1NXFLX: Surface Flux Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_flx_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_flx_2) |
  | M2T1NXFLX (or tavg1_2d_flx_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated surface flux diagnostics, such as total precipitation, bias corrected total precipitation, surface air temperature, surface specific humidity, surface wind speed, ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [merra](https://developers.google.com/earth-engine/datasets/tags/merra) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation) [sea-salt](https://developers.google.com/earth-engine/datasets/tags/sea-salt) [so2](https://developers.google.com/earth-engine/datasets/tags/so2) [so4](https://developers.google.com/earth-engine/datasets/tags/so4) |

-

  |---|
  | [### Reprocessed GLDAS-2.0: Global Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GLDAS_V20_NOAH_G025_T3H_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V20_NOAH_G025_T3H) |
  | NASA Global Land Data Assimilation System Version 2 (GLDAS-2) has three components: GLDAS-2.0, GLDAS-2.1, and GLDAS-2.2. GLDAS-2.0 is forced entirely with the Princeton meteorological forcing input data and provides a temporally consistent series from 1948 through 2014. GLDAS-2.1 is forced with a combination of model ... |
  | [3-hourly](https://developers.google.com/earth-engine/datasets/tags/3-hourly) [climate](https://developers.google.com/earth-engine/datasets/tags/climate) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical) |

-

  |---|
  | [### 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) |
  | 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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [smap](https://developers.google.com/earth-engine/datasets/tags/smap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) |

-

  |---|
  | [### 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) |
  | 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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [smap](https://developers.google.com/earth-engine/datasets/tags/smap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) |

-

  |---|
  | [### 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) |
  | 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) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa) [smap](https://developers.google.com/earth-engine/datasets/tags/smap) [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture) [surface](https://developers.google.com/earth-engine/datasets/tags/surface) |

-

  |---|
  | [### SoilGrids250m 2.0 - Volumetric Water Content ![](https://developers.google.com/earth-engine/datasets/images/ISRIC/ISRIC_SoilGrids250m_v2_0_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ISRIC_SoilGrids250m_v2_0) |
  | Volumetric Water Content at 10kPa, 33kPa, and 1500kPa suction in 10\^-3 cm\^3/cm\^3 (0.1 v% or 1 mm/m) at 6 standard depths (0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm, 100-200cm). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global ... |
  | [soil](https://developers.google.com/earth-engine/datasets/tags/soil) [soil-moisture](https://developers.google.com/earth-engine/datasets/tags/soil-moisture) [water](https://developers.google.com/earth-engine/datasets/tags/water) |