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Federal
U.S. Local Climatological Data (LCD)
National Oceanic and Atmospheric Administration, Department of Commerce —
Local Climatological Data (LCD) are summaries of climatological conditions from airport and other prominent weather stations managed by NWS, FAA, and DOD. The product... -
Federal
U.S. Climate Normals 2020: U.S. Daily Climate Normals (1991-2020)
National Oceanic and Atmospheric Administration, Department of Commerce —
The Daily Climate Normals for 1991 to 2020 are 30-year averages of meteorological parameters that provide users the information needed to understand typical climate... -
Federal
Global Historical Climatology Network - Daily (GHCN-Daily), Version 3
National Oceanic and Atmospheric Administration, Department of Commerce —
The Global Historical Climatology Network - Daily (GHCN-Daily/GHCNd) dataset integrates daily climate observations from approximately 30 different data sources.... -
Federal
NOAA NEXt-Generation RADar (NEXRAD) Products NGDA
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset consists of Level III weather radar products collected from Next-Generation Radar (NEXRAD) stations located in the contiguous United States, Alaska,... -
Federal
U.S. Climate Normals 2020: U.S. Monthly Climate Normals (1991-2020)
National Oceanic and Atmospheric Administration, Department of Commerce —
The Monthly Climate Normals for 1991 to 2020 are 30-year averages of meteorological parameters that provide users the information needed to understand typical climate... -
Federal
Integrated Surface Dataset (Global) (Version Superseded)
National Oceanic and Atmospheric Administration, Department of Commerce —
This version has been superseded by a newer version. It is highly recommended for users to access the current version. Users should only access this superseded... -
Federal
U.S. Climate Normals 2020: U.S. Annual/Seasonal Climate Normals (1991-2020)
National Oceanic and Atmospheric Administration, Department of Commerce —
The U.S. Annual/Seasonal Climate Normals for 1991 to 2020 are 30-year averages of meteorological parameters that provide users the information needed to understand... -
Federal
Global Forecast System (GFS) 1.0 Degree
National Oceanic and Atmospheric Administration, Department of Commerce —
The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil... -
Federal
5-Minute Surface Weather Observations from the Automated Surface Observing Systems (ASOS) Network
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset includes five-minute reports with elements for wind speed and direction, visibility, present weather, temperature, dew point temperature, station... -
Federal
Global Summary of the Month (GSOM), Version 1
National Oceanic and Atmospheric Administration, Department of Commerce —
This Global Summaries dataset, known as GSOM for Monthly, contains a monthly resolution of meteorological elements from 1763 to present with updates applied weekly.... -
Federal
NOAA Next Generation Radar (NEXRAD) Level 3 Products
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset consists of Level 3 weather radar products collected from Next-Generation Radar (NEXRAD) stations located in the contiguous United States, Alaska,... -
Federal
Global Data Assimilation System (GDAS)
National Oceanic and Atmospheric Administration, Department of Commerce —
The Global Data Assimilation System (GDAS) is the system used by the Global Forecast System (GFS) model to place observations into a gridded model space for the... -
Federal
Daily Weather Records
National Oceanic and Atmospheric Administration, Department of Commerce —
These daily weather records were compiled from a subset of stations in the Global Historical Climatological Network (GHCN)-Daily dataset. A weather record is... -
Federal
1-Minute Page 1 Surface Weather Observations from the Automated Surface Observing Systems (ASOS) Network
National Oceanic and Atmospheric Administration, Department of Commerce —
This dataset includes one-minute observations for visibility extinction coefficient, 2-minute average and 5-second peak wind speed and direction, and runway visual... -
Federal
Global Forecast System (GFS) 0.5 Degree
National Oceanic and Atmospheric Administration, Department of Commerce —
The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil... -
Federal
NOAA Monthly U.S. Climate Divisional Database (NClimDiv)
National Oceanic and Atmospheric Administration, Department of Commerce —
In March 2015, data for thirteen Alaskan climate divisions were added to the NClimDiv data set. Data for the new Alaskan climate divisions begin in 1925 through the... -
Federal
NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid)
National Oceanic and Atmospheric Administration, Department of Commerce —
The NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) consists of four climate variables derived from the GHCN-D dataset: maximum temperature, minimum... -
Federal
Global Ensemble Forecast System (GEFS) 1.0 Degree
National Oceanic and Atmospheric Administration, Department of Commerce —
The Global Ensemble Forecast System (GEFS) is a weather forecast model made up of 21 separate forecasts, or ensemble members. The National Centers for Environmental... -
Federal
U.S. Monthly Climate Normals (1971-2000)
National Oceanic and Atmospheric Administration, Department of Commerce —
U.S. Monthly Climate Normals (1971-2000) (DSI-9641C) include climatological normals based on monthly maximum, minimum, and mean temperature and monthly total... -
Federal
Global Historical Climatology Network - Daily (GHCN-Daily), Version 2 (Version Superseded)
National Oceanic and Atmospheric Administration, Department of Commerce —
Please note, this dataset has been superseded by a newer version (see below). Users should not use this version except in rare cases (e.g., when reproducing...
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