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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 2022 (a water year is the 12-month period, October 1 through September 30, in which it ends) is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and is processed following the guidelines documented in Over and others (2010). This DR also describes the Watershed Data Management (WDM) database file ARGN22.WDM. The WDM file ARGN22.WDM is an update of ARGN21.WDM (Bera, 2022) with the processed data from October 1, 2021, through September 30, 2022, appended to it. ARGN22.WDM file contains...
The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Hydrology,
Russian River,
USGS Science Data Catalog (SDC),
United States,
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated on an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and at a daily time-scale from January 1, 2020 to December 31, 2020 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2020. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This spatial data set was created by the U.S. Geological Survey (USGS) to represent mean annual solar radiation in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) for the period between 1991 and 2005.
A four-component (incoming and outgoing shortwave and longwave radiation) radiometer (model CNR1) was installed on a monitoring station (LZ40) constructed by the South Florida Water Management District (SFWMD) in the approximate center of Lake Okeechobee in Florida, located at 26 degrees 54 minutes 06.254 seconds North, 080 degrees 47 minutes 21.301 seconds West. Specific time-series collected for this data release include the following parameters with units of watts per square meter: (1) incoming shortwave radiation, (2) outgoing shortwave radiation, (3) incoming longwave radiation, and (4) outgoing longwave radiation. Instantaneous readings of each parameter were measured every 5 seconds and averaged over 15-minute...
Categories: Data;
Tags: Lake Okeechobee, Florida,
USGS Science Data Catalog (SDC),
long-wave radiation,
net radiation,
short-wave radiation,
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological (minimum/maximum temperature, minimum/maximum relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data, blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product. Two versions of the dataset...
The Russian River Watershed (RRW) covers about 1,300 square miles (without Santa Rosa Plain) of urban, agricultural, and forested lands in northern Sonoma County and southern Mendocino County, California. Communities in the RRW depend on a combination of Russian River water and groundwater to meet their water-supply demands. Water is used primarily for agricultural irrigation, municipal and private wells supply, and commercial uses - such as for wineries and recreation. Annual rainfall in the RRW is highly variable, making it prone to droughts and flooding from atmospheric river events. In order to better understand surface-water and groundwater issues, the USGS is creating a Coupled Ground-Water and Surface-Water...
Watershed Data Management (WDM) database file ARGN19.WDM is an update of ARGN18.WDM (Bera, 2019) with the processed data from October 1, 2018 through September 30, 2019, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). ARGN19.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series for air...
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. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). ARGN18.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series...
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at a 1-kilometer spatial resolution and daily time-scale from January 1, 2022 to December 31, 2022 for Florida, Alabama, Georgia, South Carolina, and parts of Mississippi, North Carolina, and Tennessee. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data, blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product,...
This dataset provides watershed delineations for 1,703 U.S. Geological Survey (USGS) streamgaging stations (gages) for geospatial statistical study of peak streamflows in and near Texas. These streamgaging stations are in Texas, Oklahoma, and New Mexico (east of the Great Continental Divide) with some of the watersheds associated with the 1,703 streamgaging stations extending into several surrounding states or into Mexico. Watershed characteristics are indexed by using the National Hydrography Dataset (NHD) version 2.2.1 Indexing was accomplished by using the Permanent Identifier (PERMID; a string that uniquely identifies each feature in the NHD) and by using the USGS identification number for the streamgaging station...
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, 2019. The primary data for water year 2019 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN18.WDM (Bera and Over, 2019) and renamed as ARGN19.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal...
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2022 to December 31, 2022 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1 BRDF/Albedo data product;...
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 2-kilometer (approximately 0.019 degrees longitude and 0.018 degrees latitude) spatial grid and daily time-scale from January 1, 2019 to December 31, 2019 for the entire State of Florida. PET and ETo were computed on the basis of solar radiation, meteorological data (minimum/maximum temperature, minimum/maximum relative humidity, and mean wind speed at 2-meter height), and shortwave blue-sky albedo data for 2019. Solar radiation was computed from Geostationary Operational Environmental Satellite (GOES) sensor data; blue-sky albedo was computed from the Moderate Resolution Imaging Spectrometer (MODIS) MCD43A1...
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2014
IMPORTANT NOTE: On September 27, 2016, a formatting error in these data was discovered. This error involves extra spaces in certain lines of the .txt data files, which may cause an error in the interpretation of the data values or data-source flags when read by other software. This error has been corrected in the WY 2015 data which can be accessed from this link. The U.S. Geological Survey (USGS), in cooperation with DuPage County, Illinois, maintains a Watershed Data Management (WDM) database consisting of hourly dewpoint temperature, air temperature, solar radiation, wind speed data based on the data collected at the Argonne National Laboratory (ANL) and hourly potential evapotranspiration computed from them...
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