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This child page contains the requisite folder structure along with model input and output data used in the model validation process for two Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) models during the validation period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). One model uses a curve-number (CN) based loss method approach, and the other model uses an initial and constant (IC) infiltration rate loss method. Each model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete...
The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and will be served in the National StreamStats application (https://streamstats.usgs.gov) to describe delineated watersheds. The StreamStats application provides access to spatial analysis tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Gunnison River,
Hydrology,
USGS Science Data Catalog (SDC),
United States,
The Stochastic Empirical Loading and Dilution Model (SELDM) 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 transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component...
Categories: Software;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practice (BMP),
Event Mean Concentration,
Federal Highway Administration,
Highway-Runoff Database,
Hydrology,
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...
ARGN14.WDM 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 flags data series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310) and solar radiation (dsn 610) respectively from January 1,1948, to September 30, 2015. The primary source of the data is the Argonne National Laboratory, Illinois. To open this file user needs to install any of the utilities described in the section "The Related External Resources" in this page.
Watershed Data Management (WDM) database file ARGN21.WDM is an update of ARGN20.WDM (Bera, 2021) with the processed data from October 1, 2020 through September 30, 2021, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and processed following the guidelines documented in Over and others (2010). ARGN21.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...
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, 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 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 as “backup”. The hourly wind speed...
Hydrologic data for the Alaska Arctic are sparse, and fewer still are long-term (> 10 year) datasets. This lack of baseline information hinders our ability to assess long-term alterations in streamflow due to changing climate. The Arctic LCC is provided stop-gap funding to continue this long time series hydrological data sets in the Kuparuk and Putuligayuk watersheds.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
DISCHARGE/FLOW,
DISCHARGE/FLOW,
Datasets/Database,
Federal resource managers,
The USGS and Arctic National Wildlife Refuge Staff operate and maintain a streamgage at Hulahula River near Kaktovik, Alaska. Data from this station is necessary to complement glacier mass-balance studies and provide information necessary to project stream flow regimes under various scenarios of climate change. This project includes operation, acquiring real-time data, analysis of the data, and internet access. The gauge continues to operate as of 2017.
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
DISCHARGE/FLOW,
DISCHARGE/FLOW,
Datasets/Database,
Federal resource managers,
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. As part of the U.S. Geological Survey’s Groundwater Resources Program study of the Appalachian Plateaus aquifers, estimates of annual water-budget components were determined at 849 continuous-record streamflow gaging stations from Mississippi to New York. Base flow, which can serve as a proxy for annual recharge, streamflow, and runoff were estimated from computer programs—PART (Rutledge, 1993), HYSEP (Sloto and Crouse, 1996), and...
This dataset is intended to assess the road density within 100 meters of mangrove swamps and saltwater marshes. Road density was calculated by dividing the road lengths, in kilometers, by the buffer area, in kilometers, with which they intersected. Densities are then reported to the hydrologic units code (HUC) 12 in an effort to better assess run-off potential and hydrologic effects on mangrove swamp and saltwater marsh.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: HUC 12,
assessment,
indicator,
landscape conservation,
roads,
This map service is an information surface which displays the hydrologic soil group class of each soil map unit based upon the dominant component in the soil map unit. Hydrologic soil groups are based on estimates of runoff potential. Soils are assigned to one of four groups according to the rate of water infiltration when the soils are not protected by vegetation, are thoroughly wet, and receive precipitation from long-duration storms. This map service is an information surface which displays the hydrologic soil group class of each soil map unit based upon the dominant component in the soil map unit. Hydrologic soil groups are based on estimates of runoff potential. Soils are assigned to one of four groups according...
This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020" that accompanies the USGS Techniques and Methods report titled: "The Basin Characterization Model - A Regional Water Balance Software Package". The BCMv8 data are extracted from the state-wide data for the CVHM2 modeled area for water years 1922 to 2019. Climate data for CVHM2 are presented in two child...
Categories: Data Release - Revised;
Tags: California,
Central Valley,
Climate,
Hydrology,
Potential Evapotranspiration,
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 NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020) ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential evapotranspiration, snow water equivalent, and snowfall. The spatial reference for this data...
This hydrologic and landscape database was developed by the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service for the Okefenokee National Wildlife Refuge and contributing watersheds in Florida and Georgia. The database was developed as an assessment and evaluation tool to use in examining refuge-specific hydrologic patterns and trends as related to water availability and water quality for refuge ecosystems, habits, and target species. The database includes hydrologic time series data, statistics on landscape and hydrologic time series data, and hydro-ecological metrics that can be used to assess refuge hydrologic conditions. The database is described in detail in Open File Report 2017-1018.
Soil surface roughness may significantly impact runoff and erosion under rainfall. A common perception is that runoff and erosion are decreased as a function of roughness because of surface ponding and increased hydraulic roughness that reduces effective flow shear stress. The objective of this study was to measure the effects of initial surface roughness on runoff and erosion under controlled laboratory conditions. Initially, rough and smooth surfaces were exposed to five simulated rainfall applications at 5% and 20% slopes. In all cases, runoff was delayed for the case of the initially rough surface; however, this effect was temporary. Overall, no statistical differences in either total runoff or erosion were...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: CATENA,
erosion,
rainfall simulation,
rills,
runoff,
The fundamental rationale for statistical downscaling is that the raw outputs of climate change experiments from General Circulation Models (GCMs) are an inadequate basis for assessing the effects of climate change on land-surface processes at regional scales. This is because the spatial resolution of GCMs is too coarse to resolve important sub-grid scale processes (most notably those pertaining to the hydrological cycle) and because GCM output is often unreliable at individual and sub-grid box scales. By establishing empirical relationships between grid-box scale circulation indices (such as atmospheric vorticity and divergence) and sub-grid scale surface predictands (such as precipitation), statistical downscaling...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Climate change,
Colorado,
Downscaling,
General circulation model,
Journal of Hydrology,
This dataset was produced in by the Delaware Geological survey in cooperation with the US Geological Survey and Delaware Department of Transportation for the purpose of delineating gage basins and performing hydrologic analysis in the Delaware 2020 StreamStats application. These datasets are raster representations of the fundamental dataset layers necessary for the functionality of StreamStats application within the Delaware StreamStats 2020 study area. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics...
Clean water is important for a variety of uses, including drinking, recreation, and as habitat for aquatic species. Nonpoint-source pollution, such as nutrients, sediment, and pesticides from agricultural runoff, is a major cause of impaired water quality in the United States . Vegetation and soil in natural land cover help to remove pollutants from runoff water before it reaches streams and other waterways by slowing water flow and physically trapping sediment. To assess the spatial distribution of water purification potential in the southeastern United States, we mapped the demand for purification as the total area of agricultural land and the supply of natural land cover in the flowpath over which water moves...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Alabama,
Arkansas,
Florida,
Georgia,
Louisiana,
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