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The NOAA Climate Normals are a large suite of data products that provide users with many tools to understand typical climate conditions for thousands of locations across the United States,...
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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 present and are included in all...
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Global Historical Climatology Network-hourly (GHCNh) is a multisource collection of weather station (meteorological) observations from the late 18th Century to the present from fixed weather...
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*This version has been superseded by a newer version.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 Users should only access this superseded version for special cases, such as...
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The NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) consists of four climate variables derived from the GHCN-D dataset: maximum temperature, minimum temperature, average temperature and...
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The U.S. Annual Climate Normals for 1981 to 2010 are 30-year averages of meteorological parameters for thousands of U.S. stations located across the 50 states, as well as U.S. territories,...
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The International Best Track Archive for Climate Stewardship (IBTrACS) provides location and intensity for global tropical cyclones. The data span from the 1840s to present, generally providing...
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The U.S. Monthly Climate Normals for 1981 to 2010 are 30-year averages of meteorological parameters for thousands of U.S. stations located across the 50 states, as well as U.S. territories,...
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USCRN Products are available on public FTP and derived from the USCRN processed data. Available parameters include averages and calculated values for precipitation, air temperature, solar...
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The U.S. Annual Climate Normals for 1981 to 2010 are 30-year averages of meteorological parameters that provide users with many tools to understand typical climate conditions for thousands of...
Search relevance: 1.00 | Views last month: 37 | Catalog Last Checked: November 03, 2026 at 03:57 PM -
The GPCP Daily analysis is a companion to the GPCP Monthly analysis, and provides globally complete precipitation estimates at a spatial resolution of a half degree latitude-longitude and daily...
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The U.S. Daily Climate Normals for 1981 to 2010 are 30-year averages of meteorological parameters for thousands of U.S. stations located across the 50 states, as well as U.S. territories,...
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This Global Summaries dataset, known as GSOM for Monthly, contains a monthly resolution of meteorological elements from 1763 to present with updates applied weekly. The major parameters are:...
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Datalogger files are raw USCRN data. However, instead of being collected via satellite, the raw data are collected from station dataloggers (also referred to as PDAs--Personal Digital Assistant)...
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**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 previous studies that used this...
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**Please note, GHCN-Monthly provides climatological observations for four elements; monthly mean maximum temperature, minimum temperature, mean temperature, and monthly total precipitation....
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USCRN Raw Transmitted Data is level 0 data received from the USCRN stations that are transmitted continuously. The data values are ingested with a unique 18-bit format due to satellite...
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The NOAA Surface Weather Observations dataset (NOAA-SWO) (or formerly Data for the Year [DFTY]), is a special data collection comprised of merged NOAA in situ surface observational data, including...
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**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 previous studies that used this...
Search relevance: 1.00 | Views last month: 17 | Catalog Last Checked: November 03, 2026 at 03:52 PM -
The Standard/Legacy MSHR, formally identified as the DSI-9767 dataset, is the legacy dataset/report sorted by NCDC Station ID and period of record. This dataset/report includes historical station...
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