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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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*This version has been superseded by a newer version.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 Users should only access this superseded version for special cases, such as...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 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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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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The Southwest Watershed Research Center (SWRC) has operated Walnut Gulch Experimental Watershed (WGEW), located in the vicinity of Tombstone, Arizona, for more than 50 years. A 17 year (1990-2006)...
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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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The U.S. Hourly 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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These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and...
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The Global Precipitation Climatology Project (GPCP) consists of monthly satellite-gauge and associated precipitation error estimates and covers the period January 1983 to the present. For GPCP V3...
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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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This dataset contains air temperature, relative humidity, precipitation, solar radiation, wind speed, soil temperature, and soil moisture data from the Soil Climate Analysis Network (SCAN) site...
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J....
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The Experimental USCRN data consists of data from four separate locations. Two of these stations--Johnstown, PA and Sterling, VA--were used to establish USCRN data collection and processing for...
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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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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 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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An extensive precipitation database at the 149 km2 Walnut Gulch Experimental Watershed (WGEW) has been developed over the past 53 years with the first records starting in August 1953 and...
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The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J....
Search relevance: 1.00 | Views last month: 2 | Catalog Last Checked: May 05, 2026 at 11:45 PM -
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...
Search relevance: 1.00 | Views last month: 1 | Catalog Last Checked: April 12, 2026 at 09:12 PM