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ERA5 Daily Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
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 … wind temperature dewpoint surface pressure precipitation -
ERA5 Monthly Aggregates - Latest Climate Reanalysis Produced by ECMWF / Copernicus Climate Change Service
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 … wind temperature dewpoint surface pressure precipitation -
ERA5-Land Hourly - ECMWF Climate Reanalysis
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 … temperature lakes snow soil-water radiation heat -
ERA5-Land Monthly Averaged - ECMWF Climate Reanalysis
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 … temperature lakes snow soil-water radiation heat -
ERA5-Land Monthly Averaged by Hour of Day - ECMWF Climate Reanalysis
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 … temperature lakes snow soil-water radiation heat -
GRIDMET: University of Idaho Gridded Surface Meteorological Dataset
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 … gridmet metdata temperature humidity radiation precipitation -
TerraClimate: Monthly Climate and Climatic Water Balance for Global Terrestrial Surfaces, University of Idaho
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 global monthly geophysical palmer drought -
FLDAS: Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System
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; … famine evapotranspiration humidity runoff snow temperature -
GLDAS-2.1: Global Land Data Assimilation System
Global Land Data Assimilation System (GLDAS) ingests satellite and ground-based observational data products. Using advanced land surface modeling and data assimilation techniques, it generates optimal fields of land surface states and fluxes. GLDAS-2.1 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, … forcing wind temperature humidity geophysical soil -
Reprocessed GLDAS-2.0: Global Land Data Assimilation System
Global Land Data Assimilation System (GLDAS) ingests satellite and ground-based observational data products. Using advanced land surface modeling and data assimilation techniques, it generates optimal fields of land surface states and fluxes. GLDAS-2.0 is one of two components of the GLDAS Version 2 (GLDAS-2) dataset, … forcing wind temperature humidity geophysical soil -
NLDAS-2: North American Land Data Assimilation System Forcing Fields
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 … forcing wind temperature humidity geophysical pressure -
NOAA CDR: Ocean Near-Surface Atmospheric Properties, Version 2
The Ocean Near-Surface Atmospheric Properties dataset is part of the NOAA Ocean Surface Bundle (OSB) and provides a high quality Climate Data Record (CDR) of air temperature, wind speed, and specific humidity over ice-free ocean surfaces. These atmospheric properties are calculated based on brightness temperature … atmospheric ocean humidity hourly wind air-temperature -
NOAA AVHRR Pathfinder Version 5.3 Collated Global 4km Sea Surface Temperature
The AVHRR Pathfinder Version 5.3 Sea Surface Temperature dataset (PFV53) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV53 … sst temperature wind sea-ice noaa avhrr -
GFS: Global Forecast System 384-Hour Predicted Atmosphere Data
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 3-hour forecast interval, are made at 6-hour temporal … temperature humidity wind radiation precipitation flux -
RTMA: Real-Time Mesoscale Analysis
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. wind temperature humidity geophysical pressure visibility
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