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Found 1038 dataset(s) matching "RUNOFF".
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This data set provides global gridded estimates of carbon, energy, and hydrologic fluxes between the land and atmosphere from 15 Terrestrial Biosphere Models (TBMs) in a standard format. Model...
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<p>The Goodwater Creek, Missouri cave stream data file contains nutrient and herbicide concentrations, loads, and daily discharge data for Devils Icebox Cave and Hunters Cave from 1999 to...
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This dataset characterizes water quality and quantity data from 33 storm events at the influent and effluent of a stormwater treatment vault modified with a Coanda-effect screen in Madison,...
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The monthly climatology dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation...
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With the upgraded Land Surface Models (LSMs) and updated forcing data sets, the GLDAS version 2.1 (GLDAS-2.1) production stream serves as a replacement for GLDAS-001. The entire GLDAS-001...
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Watershed Data Management (WDM) database file ARGN18.WDM is an update of ARGN17.WDM (Bera and Over, 2018) with the processed data from October 1, 2017 through September 30, 2018 appended to it....
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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...
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This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the...
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This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the...
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The watershed data management (WDM) database SC21.WDM is updated with the processed data for the period October 1, 2020, through September 30, 2021. The precipitation data are collected from a...
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Watershed Data Management (WDM) database file WBDR20.WDM is updated with the quality-assured and quality-controlled meteorological and hydrologic data for the period October 1, 2020, through...
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Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022
This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release by Bera (2022), with the processed data through September 30, 2022. The primary data for water year...
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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...
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The text file "Wind speed.txt" contains hourly wind speed data in miles per hour and associated data source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018...
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The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2018. The primary data for water year...
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The text file "Dewpoint temperature.txt" contains hourly dewpoint temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2018. The primary...
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The text file "Air temperature.txt" contains hourly air temperature data in degrees Fahrenheit and associated data-source flags from January 1, 1948, to September 30, 2018. The primary data for...
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Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2018), with the data processed through September 30, 2018. The primary data for water...
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Rangeland Hydrology Erosion Model results for the Organ Mountains Desert Peaks National Monument. Results include all 6 scenarios modeled.
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For about 10 years, the U.S. Geological Survey (USGS) has monitored water quality and streamflow in three agricultural drainage ditches in an effort to evaluate the influence of best management...
