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

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  | [### 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) |

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  | [### 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) |

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

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

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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.md.txt) |
  | 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 ... |
  | [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [forecast](https://developers.google.com/earth-engine/datasets/tags/forecast.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.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) |

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  | [### ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_DAILY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_DAILY.md.txt) |
  | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 DAILY provides aggregated values for each day for ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) |

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

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  | [### ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_MONTHLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_MONTHLY.md.txt) |
  | ERA5 is the fifth generation ECMWF atmospheric reanalysis of the global climate. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset. ERA5 replaces its predecessor, the ERA-Interim reanalysis. ERA5 MONTHLY provides aggregated values for each month for ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [dewpoint](https://developers.google.com/earth-engine/datasets/tags/dewpoint.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5](https://developers.google.com/earth-engine/datasets/tags/era5.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) |

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  | [### ERA5-Land Daily Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_DAILY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR.md.txt) |
  | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... |
  | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) |

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  | [### ERA5-Land Hourly - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_HOURLY_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_HOURLY.md.txt) |
  | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... |
  | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) |

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  | [### ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_AGGR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_AGGR.md.txt) |
  | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... |
  | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) |

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  | [### ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_MONTHLY_BY_HOUR.md.txt) |
  | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... |
  | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) |

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  | [### ERA5-Land Static - ECMWF Climate Reanalysis ![](https://developers.google.com/earth-engine/datasets/images/ECMWF/ECMWF_ERA5_LAND_STATIC_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_STATIC.md.txt) |
  | ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with ... |
  | [cds](https://developers.google.com/earth-engine/datasets/tags/cds.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [copernicus](https://developers.google.com/earth-engine/datasets/tags/copernicus.md.txt) [ecmwf](https://developers.google.com/earth-engine/datasets/tags/ecmwf.md.txt) [era5-land](https://developers.google.com/earth-engine/datasets/tags/era5-land.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) |

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  | [### FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_FLDAS_NOAH01_C_GL_M_V001_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_FLDAS_NOAH01_C_GL_M_V001.md.txt) |
  | The FLDAS dataset (McNally et al. 2017), was designed to assist with food security assessments in data-sparse, developing country settings. It includes information on many climate-related variables including moisture content, humidity, evapotranspiration, average soil temperature, total precipitation rate, etc. There are multiple different FLDAS datasets; ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [ldas](https://developers.google.com/earth-engine/datasets/tags/ldas.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) |

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  | [### 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) |

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

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

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  | [### 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) |

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  | [### 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) |

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

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  |---|
  | [### GRIDMET DROUGHT: CONUS Drought Indices ![](https://developers.google.com/earth-engine/datasets/images/GRIDMET/GRIDMET_DROUGHT_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/GRIDMET_DROUGHT.md.txt) |
  | This dataset contains drought indices derived from the 4-km daily Gridded Surface Meteorological (GRIDMET) dataset. The drought indices provided include the standardized precipitation index (SPI), the evaporative drought demand index (EDDI), the standardized precipitation evapotranspiration index (SPEI), the Palmer Drought Severity Index (PDSI) and Palmer ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [conus](https://developers.google.com/earth-engine/datasets/tags/conus.md.txt) [crop](https://developers.google.com/earth-engine/datasets/tags/crop.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) |

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  |---|
  | [### GRIDMET: University of Idaho Gridded Surface Meteorological Dataset ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_GRIDMET_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_GRIDMET.md.txt) |
  | The Gridded Surface Meteorological dataset provides high spatial resolution (\~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gridmet](https://developers.google.com/earth-engine/datasets/tags/gridmet.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) [metdata](https://developers.google.com/earth-engine/datasets/tags/metdata.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) |

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

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

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

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

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

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  | [### MERRA-2 M2T1NXLND: Land Surface Diagnostics V5.12.4 ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GSFC_MERRA_lnd_2_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GSFC_MERRA_lnd_2.md.txt) |
  | M2T1NXLND (or tavg1_2d_lnd_Nx) is an hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of land surface diagnostics, such a baseflow flux, runoff, surface soil wetness, root zone soil wetness, water at surface layer, water at ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cryosphere](https://developers.google.com/earth-engine/datasets/tags/cryosphere.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [ice](https://developers.google.com/earth-engine/datasets/tags/ice.md.txt) [merra](https://developers.google.com/earth-engine/datasets/tags/merra.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) |

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  |---|
  | [### NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS.md.txt) |
  | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... |
  | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) |

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  |---|
  | [### NEX-DCP30: NASA Earth Exchange Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-DCP30_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30.md.txt) |
  | The NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse ... |
  | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) |

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  | [### NEX-GDDP-CMIP6: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_GDDP-CMIP6_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_GDDP-CMIP6.md.txt) |
  | The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6, see Thrasher et al. 2022) and across two of the four "Tier 1" greenhouse gas emissions scenarios ... |
  | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) [nasa](https://developers.google.com/earth-engine/datasets/tags/nasa.md.txt) |

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  |---|
  | [### NEX-GDDP: NASA Earth Exchange Global Daily Downscaled Climate Projections ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NEX-GDDP_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-GDDP.md.txt) |
  | The NASA NEX-GDDP dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across two of the four greenhouse ... |
  | [cag](https://developers.google.com/earth-engine/datasets/tags/cag.md.txt) [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [cmip5](https://developers.google.com/earth-engine/datasets/tags/cmip5.md.txt) [gddp](https://developers.google.com/earth-engine/datasets/tags/gddp.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [ipcc](https://developers.google.com/earth-engine/datasets/tags/ipcc.md.txt) |

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  |---|
  | [### NLDAS-2: North American Land Data Assimilation System Forcing Fields ![](https://developers.google.com/earth-engine/datasets/images/NASA/NASA_NLDAS_FORA0125_H002_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/NASA_NLDAS_FORA0125_H002.md.txt) |
  | Land Data Assimilation System (LDAS) combines multiple sources of observations (such as precipitation gauge data, satellite data, and radar precipitation measurements) to produce estimates of climatological properties at or near the Earth''s surface. This dataset is the primary (default) forcing file (File A) for Phase ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [evaporation](https://developers.google.com/earth-engine/datasets/tags/evaporation.md.txt) [forcing](https://developers.google.com/earth-engine/datasets/tags/forcing.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [hourly](https://developers.google.com/earth-engine/datasets/tags/hourly.md.txt) [humidity](https://developers.google.com/earth-engine/datasets/tags/humidity.md.txt) |

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  | [### 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.md.txt) |
  | 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.md.txt) [imerg](https://developers.google.com/earth-engine/datasets/tags/imerg.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) [opengeohub](https://developers.google.com/earth-engine/datasets/tags/opengeohub.md.txt) [openlandmap](https://developers.google.com/earth-engine/datasets/tags/openlandmap.md.txt) [precipitation](https://developers.google.com/earth-engine/datasets/tags/precipitation.md.txt) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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

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  | [### 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) |

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

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  | [### SPEIbase: Standardised Precipitation-Evapotranspiration Index database, Version 2.11 ![](https://developers.google.com/earth-engine/datasets/images/CSIC/CSIC_SPEI_2_11_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/CSIC_SPEI_2_11.md.txt) |
  | The Global SPEI database (SPEIbase) offers long-time robust information about drought conditions at the global scale, with a 0.5 degree pixel size and monthly cadence. It provides SPEI time scales from 1 to 48 months. The Standardized Precipitation-Evapotranspiration Index (SPEI) expresses, as a standardized variate ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [climate-change](https://developers.google.com/earth-engine/datasets/tags/climate-change.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [monthly](https://developers.google.com/earth-engine/datasets/tags/monthly.md.txt) |

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  | [### 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) |

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  | [### 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) |

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  | [### TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho ![](https://developers.google.com/earth-engine/datasets/images/IDAHO_EPSCOR/IDAHO_EPSCOR_TERRACLIMATE_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE.md.txt) |
  | TerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). ... |
  | [climate](https://developers.google.com/earth-engine/datasets/tags/climate.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.md.txt) [evapotranspiration](https://developers.google.com/earth-engine/datasets/tags/evapotranspiration.md.txt) [geophysical](https://developers.google.com/earth-engine/datasets/tags/geophysical.md.txt) [global](https://developers.google.com/earth-engine/datasets/tags/global.md.txt) [merced](https://developers.google.com/earth-engine/datasets/tags/merced.md.txt) |

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  | [### 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) |

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  | [### United States Drought Monitor ![](https://developers.google.com/earth-engine/datasets/images/sat-io/projects_sat-io_open-datasets_us-drought-monitor_sample.png)](https://developers.google.com/earth-engine/datasets/catalog/projects_sat-io_open-datasets_us-drought-monitor.md.txt) |
  | The U.S. Drought Monitor is a map released every Thursday, showing parts of the U.S. that are in drought. The map uses five classifications: abnormally dry (D0), showing areas that may be going into or are coming out of drought, and four levels of drought: ... |
  | [community-dataset](https://developers.google.com/earth-engine/datasets/tags/community-dataset.md.txt) [drought](https://developers.google.com/earth-engine/datasets/tags/drought.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) [sat-io](https://developers.google.com/earth-engine/datasets/tags/sat-io.md.txt) [usda](https://developers.google.com/earth-engine/datasets/tags/usda.md.txt) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |

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  | [### 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) |