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Zone 24 (covering small portions of Michigan and New York) of the contiguous U.S. percent developed imperviousness dataset from NLCD 2006, released 2/16/2011. The full dataset is divided into 25 zones, which can all be found in the NLCD 2006 gallery. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the...
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Zone 23 (covering parts of Minnesota, Wisconsin, and Michigan) of the contiguous U.S. percent developed imperviousness dataset from NLCD 2006, released 2/16/2011. The full dataset is divided into 25 zones, which can all be found in the NLCD 2006 gallery. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS),...
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Zone 21 (covering parts of Montana, North Dakota, and South Dakota) of the contiguous U.S. percent developed imperviousness dataset from NLCD 2006, released 2/16/2011. The full dataset is divided into 25 zones, which can all be found in the NLCD 2006 gallery. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS),...
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Zone 15 (covering parts of South Dakota, Nebraska, Kansas, Missouri, Iowa, Minnesota, and Wisconsin) of the contiguous U.S. percent developed imperviousness dataset from NLCD 2006, released 2/16/2011. The full dataset is divided into 25 zones, which can all be found in the NLCD 2006 gallery. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA),...
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Zone 5 (covering parts of California and Nevada) of the contiguous U.S. percent developed imperviousness dataset from NLCD 2006, released 2/16/2011. The full dataset is divided into 25 zones, which can all be found in the NLCD 2006 gallery. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National...
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Soil frost measurements have been made at Sleepers River Research Watershed starting in 1983. Measurements were made by U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory from 1983 to 1993, followed by the U.S. Geological Survey from 1993 to the present. Measurements started at 5 sites and has increased to 10 sites. Sites range in elevation from 225 to 670 meters and are in a mix of field and forest types. Soil frost measurements are made with tubes filled with methylene blue solution; on freezing, the methylene blue remains in the liquid phase, yielding clear ice that marks the depth of soil frost (Ricard and others, 1976). Soil frost measurements typically are made 2 to 4 times a month...
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The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater...
Summary Human activities have historically affected hydrology in the upper Midwestern United States, specifically through the conversion of forests and prairie grasslands to agricultural uses. The hydrologic impacts of land-use change due to settlement on the water balance of three Great Lakes states: Minnesota, Wisconsin, and Michigan were analyzed using the Variable Infiltration Capacity (VIC) large-scale hydrology model, and changes in the spatial distribution of vegetation types were studied. Point model simulations demonstrated that the VIC model simulated changes in average annual and monthly evapotranspiration (ET) and total runoff response were in the same direction and had similar magnitudes to values from...
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These datasets contain time series of anomalies, relative to 1950-1999 period, in the annual and seasonal soil moisture (%) and runoff (%) in the Pinyon-Juniper ecosystem of Southwest Colorado for the three future climate scenarios considered in the Social Ecological and Climate Resiliency (SECR) project.
Summary Analysis of historical streamflow trends and their relationship to landscape characteristics is essential for understanding geographic differences in runoff within the Great Lakes basin and for distinguishing temporal trends from temporal variance. Factor analysis of streamflow records (1956–1988) from 32 US Geological Survey gauging stations within the Great Lakes basin revealed distinct spatio-temporal patterns of stream runoff within five different regions of the basin. Streams represented by the first annual factor occurred in southern Wisconsin and the lower peninsula of Michigan, and exhibited a linear increase in mean annual streamflow over the 33 year period caused by increased autumn and winter...
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IMPORTANT NOTE: A more recent version of this data release is available from this link. This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2016), with the processed data through September 30, 2015. The primary data for each year is downloaded from the ANL website (http://gonzalo.er.anl.gov/ANLMET/numeric/) and is processed following the guidelines documented in Over and others (2010) and Bera (2014). Hourly potential evapotranspiration computed using the computer program LXPET (Lamoreux Potential Evapotranspiration). Murphy (2005) describes in detail the computer program LXPET. References Cited: ...
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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 year 2018 (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, 2018) and processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) is computed from average daily air temperature, average daily dewpoint temperature, daily total wind speed, and daily total solar radiation, and disaggregated to hourly PET by using the...
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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, 2021. The primary data for water year 2021 (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, 2022) and they were processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN20.WDM (Bera, 2021) and renamed as ARGN21.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup.”...
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, 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, 2019) and renamed as ARGN19.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The Illinois...
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, 2020. The primary data for water year 2020 (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, 2020) and they were processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN19.WDM (Bera, 2020) and renamed as ARGN20.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used...
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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...
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The shapefile associated with this metadata file represents the spatial distribution of mean annual water-budget components, in inches, for Hawaii Island, Hawaii. The water-budget components in the shapefile were computed by a water-budget model for a scenario representative of predevelopment conditions (1916-83 rainfall and 1870 land cover), as described in USGS Scientific Investigations Report (SIR) 2015-5164. The model was developed for estimating groundwater recharge and other water-budget components for each subarea of the model. The model-subarea data set, consisting of 467,805 subareas (polygons), was generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets. Spatial datasets...
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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 is a line coverage of average annual runoff in the conterminous United States, 1951-1980. Surface runoff Average runoff Surface waters United States
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A monthly water-balance model (MWBM) is applied to simulate components of the water balance for the period 1950-2100 under ssp245, ssp370, and ssp585 scenarios for the Contiguous United States. The statistically downscaled LOCA2 temperature and precipitation projections from 27 GCMs from the Climate Model Intercomparison Program Phase 6 (CMIP6) are use as input to the water balance model. This data set supports the USGS National Climate Change Viewer (ver. 2). The statistically downscaled data set is: CMIP6-LOCA2: Localized Constructed Analogs (Pierce et al. 2023, bias corrected by a modified version of Livneh et al. 2013) Users interested in the downscaled temperature and precipitation files are referred to the...
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The Database was built to enable data integration across sources, as well as to support program planning and observational network design. The Imiq Data Portal provides a snapshot of available hydroclimate data – a map-based view of where , what , and when data have been obtained. Users can submit a custom data query, specifying variable of interest, geographic bounds, and time step. Imiq will aggregate and export data records from multiple sources in a common format, with full metadata records that provide information about the source data.
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ABLATION, ABLATION, ACTIVE LAYER, ACTIVE LAYER, ALBEDO, All tags...


map background search result map search result map National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 24 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 23 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 21 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 15 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 5 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2015 Imiq Data Portal Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2018 Time Series of the Anomalies in Soil Moisture and Runoff Between 1950-2099 for the Pinyon-Juniper Ecosystem of Southwest Colorado Under Three Future Climate Scenarios Soil Frost at Sleepers River Research Watershed, Danville, Vermont Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Hourly air temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2021 Mean annual water-budget components for Hawaii Island, Hawaii, for predevelopment conditions, 1916-83 rainfall and 1870 land cover Average annual runoff in the United States, 1951-80 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 CMIP6 LOCA2 Monthly Water Balance Model Projections 1950-2100 for the Contiguous United States - Potential Evapotranspiration Soil Frost at Sleepers River Research Watershed, Danville, Vermont Hourly air temperature in degrees Fahrenheit and associated three-digit data-source flag, January 1, 1948 - September 30, 2021 Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2022 Mean annual water-budget components for Hawaii Island, Hawaii, for predevelopment conditions, 1916-83 rainfall and 1870 land cover National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 15 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 5 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 23 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 21 National Land Cover Database 2006 (U.S.) - percent developed imperviousness, zone 24 Imiq Data Portal Average annual runoff in the United States, 1951-80 CMIP6 LOCA2 Monthly Water Balance Model Projections 1950-2100 for the Contiguous United States - Potential Evapotranspiration Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0