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This data release contains the source code, executable file, and example files for WATRMod, a Water-budget Accounting for Tropical Regions Model code that is documented in U.S. Geological Survey Open-File Report 2022-1013 available at https://doi.org/10.3133/ofr20221013. The source code is written in the Fortran computer language. The model source code was compiled using Intel(R) Visual Fortran Intel(R) 64 for Windows, version 11.0.061, Copyright(C) 1985-2008. WATRMod can be executed (run) in a Command window by typing the command WATRMod1 (preceded by the appropriate path to the file WATRMod1.exe if the file WATRMod1.exe does not reside in the folder from which the command is issued) at the prompt; the file WATRMOD.FIL...
This archive documents a Soil-Water Balance (SWB) model of the Puyallup and Chambers-Clover Basins in Pierce and King Counties, Washington. The SWB model used to estimate a water budget and recharge for input into a groundwater flow model of the Puyallup and Chamber-Clover Basins between January 2005 and December 2015.
This dataset contains a map of the bathymetric contours of Morris Lake (Newton Reservoir) at 2-foot intervals of elevation.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Geospatial Applications,
Hydrogeologic Characterization,
Morris Lake,
New Jersey,
Newton,
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...
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Mad River (MRD). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for South Bay (SBay). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for South Delta (SDT). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
This item provides a complete model archive for an application of the Soil-Water-Balance (SWB) model code to simulate water budget components of the Mississippi Embayment Regional Aquifer System (MERAS) during the period 2000 to 2020. All necessary data, model code, and model input files are provided so the simulations can be recreated. Gridded model outputs that were the basis for the primary publication are also provided. Gridded daily data (1 kilometer resolution) include net infiltration (groundwater recharge), rejected net infiltration, runoff, irrigation, actual evapotranspiration and gross precipitation Simulations were done with the USGS SWB model (version 2; Westenbroek and others, 2018). The precipitation...
The Mississippi Alluvial Plain (MAP) is one of the most important agricultural regions in the United States and underlies about 32,000 square miles of Missouri, Kentucky, Tennessee, Mississippi, Louisiana, and Arkansas. The MAP region supports a multibillion-dollar agricultural industry. The MAP is part of the Mississippi Embayment with several water-bearing units that make up the Mississippi Embayment Regional Aquifer System (MERAS). These water bearing units include the Mississippi River Valley Alluvial aquifer, Claiborne aquifers and Wilcox aquifers. In northeastern Arkansas, the Cache area has been designated as a critical groundwater areas because of decades of groundwater declines that resulted from past and...
This data set includes 1 km resolution monthly timescale estimates of the effective recharge component of the water budget over the time period from October 2003 - December 2015. These estimates were developed as water budget residuals using previously published data sets for other water budget components: PRISM precipitation (Daly et al., 2008), SNODAS snow water equivalent (National Operational Hydrologic Remote Sensing Center, 2004), SSEBop-WB evapotranspiration (Reitz et al., 2017a), a map of groundwater-sourced irrigation (Reitz et al., 2017b), and monthly surface runoff maps (Reitz et al., 2019). The recharge data were estimated as the difference between water supply (precipitation plus snow melt plus irrigation)...
This archive documents a Soil Water Balance (SWB) model of the 895-square mile upper Chehalis River Basin upstream of Grand Mound, Washington. The SWB model used to estimate a water budget (including precipitation, interception, groundwater recharge, surface runoff, and groundwater pumping) for the upper Chehalis River Basin during October 2001–September 2015.
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled CCSM4 Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the fifth...
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled CESM1-BGC Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the...
This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled MIROC5 Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the fifth...
A simple water budget includes precipitation, streamflow, change in storage, evapotranspiration, and residuals: P=Q + ET + ΔS + e. It is essential to include the managed component (i.e., the “human” component) to close the water budget and reduce the magnitude of the residuals from “natural” water budgets. Some of the largest components of managed water withdraws are public supply, irrigation, and thermoelectric. The modified water budget is: P=Q + ET + ΔS + (PS + Irr + TE) + e, where PS is public supply, Irr is irrigation, and TE is thermoelectric water use. This data release contains both the natural and managed components of the water budget for a region within the Apalachicola-Chattahoochee-Flint (ACF) River...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Apalachicola River,
Chattahoochee River,
Flint River,
Georgia,
Gulf Coast,
This dataset includes pipe-flow monitoring data in sewers used to analyze the water budget at RecoveryPark in Detroit, Michigan. These are provided as 3 text *.csv files at sewer locations that drain the study area.
Categories: Data;
Tags: Detroit, MI,
Hydrogeology,
Soil Sciences,
USGS Science Data Catalog (SDC),
Water Resources,
This dataset contains a raster map of the areas of the bathymetric map of Morris Lake that were interpolated.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Geospatial Applications,
Hydrogeologic Characterization,
Morris Lake,
New Jersey,
Newton,
This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Los Angeles (LA). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
For his MS thesis, Brendan Rogers used the vegetation model MC1 to simulate vegetation dynamics, associated carbon and nitrogen cycle, water budget and wild fire impacts across the western 2/3 of the states of Oregon and Washington using climate input data from the the PRISM group (Chris Daly, OSU) at a 30arc second (800m) spatial grain. The model was run from 1895 to 2100 assuming that nitrogen demand from the plants was always met so that the nitrogen concentrations in various plant parts never dropped below their minimum reported values. A CO2 enhancement effect increased productivity and water use efficiency as the atmospheric CO2 concentration increased. Future climate change scenarios were generated through...
Child item RCP_4_5 contains 32 forecasted climate model outputs. Outputs for each climate model scenario are housed in a zipped folder named after the respective climate scenario. Each zipped folder contains ten files: actual_et__2019-01-01_to_2055-12-31__989_by_661.nc, gross_precipitation__2019-01-01_to_2055-12-31__989_by_661.nc, interception__2019-01-01_to_2055-12-31__989_by_661.nc, irrigation__2019-01-01_to_2055-12-31__989_by_661.nc, net_infiltration__2019-01-01_to_2055-12-31__989_by_661.nc, rejected_net_infiltration__2019-01-01_to_2055-12-31__989_by_661.nc, runoff__2019-01-01_to_2055-12-31__989_by_661.nc, runoff_outside__2019-01-01_to_2055-12-31__989_by_661.nc, tmax__2019-01-01_to_2055-12-31__989_by_661.nc,...
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