ABSTRACT:

RHESSys version 5.18.2 model for Ellerbe Creek at Club Blvd, in Durham, NC (West Ellerbe Creek; WEC hereafter). WEC is a headwater watershed composed of urbanized land cover (36% impervious area) in Durham, North Carolina. The WEC is an order of magnitude larger with a drainage area of 15-km2. Continuous streamflow stage and discharge data are available from the USGS (gage ID 0208675010). Soils in the watershed range from sandy loam to silt loam (near riparian areas) and are characterized as being moderately well drained to somewhat poorly drained (near riparian areas). Located in the Piedmont physiographic province, Ellerbe Creek flows into Falls Lake, a water supply reservoir for Raleigh, NC.

This RHESSys model was developed using 30-m terrain, land cover, and soils data from the U.S. national spatial data infrastructure (e.g. National Elevation Dataset and National Land Cover Dataset, USDA SSURGO soils data) acquired via web services using EcohydroLib (https://github.com/selimnairb/EcohydroLib), which was also used to assemble all required input datasets. RHESSysWorkflows (https://github.com/selimnairb/RHESSysWorkflows) was used to create RHESSys-specific input files (e.g. world file, flow table, and soil and vegetation parameters). See metadata.txt for more detailed workflow metadata, including command history, as well as data provenance information.

Datasets:

Streamflow gage location: National Hydrography Dataset Plus version 2 served by EcohydroLib (gage ID 0208675010)
Digital Elevation Model (DEM): National Elevation Dataset (NED) 1/3 arc second served by GeoBrain WCS4DEM
Landcover: National Landcover Dataset NLCD (2006) served by ORNL DAAC WCS
Surface soil texture: USDA SSURGO data served by U.S. Department of Agriculture WFS and SOAP tabular web services
Vegetation leaf area index (LAI): Minimum LAI, peak LAI, and phenology derived from MODIS MOD 15 LAI and applied to biome types derived from landcover.
Climate data (temperature, precipitation): North Durham Water Reclamation Facility Econet station (DURH) served by N.C. State Climate Office CRONOS web service; DURH station approx. 5 km from watershed centroid.
Streamflow:

ABSTRACT:

3-m spatial resolution RHESSys model for Dead Run 5 watershed in Baltimore County, Maryland. This model contains example implementation of rain gardens.

ABSTRACT:

RHESSys version 5.18.2 model for Dead Run 5 watershed (DR5) in Baltimore County, near Catonsville, MD. DR5 is a Piedmont headwater watershed composed of 1.5-km2 of urbanized land (40% impervious area) developed before contemporary stormwater regulations were enacted. Soils in the DR5 watershed are mostly silt loam and are characterized as being well drained to poorly drained (i.e. riparian areas). The study watershed lies within the greater Dead Run watershed, which is a 14-km2 sub-watershed of the 171.5-km2 Gwynns Falls watershed, draining into the Chesapeake Bay at Baltimore Harbor. Gwynns Falls serves as a main study site of the BES LTER. Continuous streamflow stage and discharge data for DR5 are available from a U.S. Geological Survey stream gauge (USGS gage ID 01589312).

This RHESSys model was developed using high-resolution local datasets provided by the NSF-funded Baltimore Ecosystem Study Long-Term Ecological Research Site (BES LTER). EcohydroLib (https://github.com/selimnairb/EcohydroLib) was used to assemble input datasets (see below) . RHESSysWorkflows (https://github.com/selimnairb/RHESSysWorkflows) was used to create RHESSys input files (e.g. world file, flow table, and soil and vegetation parameters). See metadata.txt for more detailed workflow metadata, including command history, as well as data provenance information.

Datasets:

Streamflow gage location: Coordinates from USGS NWIS (gage ID 01589312)
Digital Elevation Model (DEM): Custom DEM from 2007 Baltimore Ecosystem Study (BES LTER) LIDAR
Landcover: Custom 2ft landcover from BES LTER
Surface soil texture: USDA SSURGO data served by U.S. Department of Agriculture WFS and SOAP tabular web services4
Vegetation leaf area index (LAI): Minimum LAI, peak LAI, and phenology derived from MODIS MOD 15 LAI and applied to biome types derived from landcover.
Storm drains/sewers: Baltimore County, MD
Climate data (temperature, precipitation): Bias-corrected Hydro-NEXRAD data (2000-2009)5. University of Maryland Baltimore County Center for Urban Environmental Research and Education tipping bucket gages (2009-present)6. Rain gage located at watershed outlet. Temperature data from BWI ASOS station.
Streamflow: USGS National Water Information System

ABSTRACT:

RHESSys version 5.18.2 model for Ellerbe Creek at Club Blvd, in Durham, NC (West Ellerbe Creek; WEC hereafter). WEC is a headwater watershed composed of urbanized land cover (36% impervious area) in Durham, North Carolina. The WEC is an order of magnitude larger with a drainage area of 15-km2. Continuous streamflow stage and discharge data are available from the USGS (gage ID 0208675010). Soils in the watershed range from sandy loam to silt loam (near riparian areas) and are characterized as being moderately well drained to somewhat poorly drained (near riparian areas). Located in the Piedmont physiographic province, Ellerbe Creek flows into Falls Lake, a water supply reservoir for Raleigh, NC.

This RHESSys model was developed using high-resolution data from Durham County Stormwater Services as well as U.S. EPA (see below). Soils data were acquired from USDA SSURGO web services using EcohydroLib (https://github.com/selimnairb/EcohydroLib), which was also used to assemble all required input datasets. RHESSysWorkflows (https://github.com/selimnairb/RHESSysWorkflows) was used to create RHESSys-specific input files (e.g. world file, flow table, and soil and vegetation parameters). See metadata.txt for more detailed workflow metadata, including command history, as well as data provenance information.

Datasets:

Streamflow gage location: Coordinate from USGS NWIS (gage ID 0208675010)
Digital Elevation Model (DEM): Custom DEM from 2012 Durham County, NC LIDAR
Landcover: 1m landcover provided by U.S. EPA Office of Research and Development Landscape Characterization branch (Dr. Drew Pilant, personal communication 2012)
Surface soil texture: USDA SSURGO data served by U.S. Department of Agriculture WFS and SOAP tabular web services
Vegetation leaf area index (LAI): Minimum LAI, peak LAI, and phenology derived from MODIS MOD 15 LAI and applied to biome types derived from landcover.
Storm drains/sewers: City of Durham Stormwater Services
Climate data (temperature, precipitation): North Durham Water Reclamation Facility Econet station (DURH) served by N.C. State Climate Office CRONOS web service7. DURH station approx. 5 km from watershed centroid.
Streamflow: USGS National Water Information System

ABSTRACT:

3-m spatial resolution RHESSys model for Dead Run 5 watershed in Baltimore County, Maryland. This model contains a baseline model run for existing conditions. After downloading the resource, unzip the file "DR5_3m_nonburned_DEM_rain_duration_DEM_float_lctest.zip". The baseline model results can be found in "rhessys/output/baseline-GIVenture-20010101_2010100101/rhessys_basin.daily".

ABSTRACT:

RHESSys version 5.18.2 model for Watershed 14 of the Coweeta Hydrologic Laboratory LTER near Franklin, NC. Watershed 14 is a 0.6-km2 forested headwater catchment that serves as a forested reference catchment, and has been undisturbed since 1927. For more information, see the Coweeta Basin History Map (https://coweeta.uga.edu/sitehistory/basin).

This RHESSys model was developed using 10-m digital elevation model and vegetation density (i.e. leaf area index) provided by the NSF- and USFS-funded Coweeta Long-term Ecological Research Site and Experimental Forest. Soils data were acquired from USDA SSURGO web services using EcohydroLib (https://github.com/selimnairb/EcohydroLib), which was also used to assemble all required input datasets. RHESSysWorkflows (https://github.com/selimnairb/RHESSysWorkflows) was used to create RHESSys-specific input files (e.g. world file, flow table, and soil and vegetation parameters). See metadata.txt for more detailed workflow metadata, including command history, as well as data provenance information.

Datasets:

Streamflow gage location: Coweeta LTER
Digital Elevation Model (DEM): Custom DEM from Coweeta LTER LIDAR
Landcover: Custom landcover from Coweeta LTER data
Surface soil texture: USDA SSURGO data served by U.S. Department of Agriculture WFS and SOAP tabular web services
Vegetation leaf area index (LAI): Minimum LAI, peak LAI, and phenology derived from MODIS MOD 15 LAI and applied to biome types derived from landcover.
Climate data (temperature, precipitation): Coweeta LTER data served by CLIMDB/HYDRODB8. Climate station in close proximity to watershed.
Streamflow: Coweeta LTER data served by CLIMDB/HYDRODB8

ABSTRACT:

This resource contains a RHESSys model of watershed 14 at the Coweeta Hydrologic Laboratory. This model was created using RHESSysWorkflows (https://github.com/selimnairb/RHESSysWorkflows).

ABSTRACT:

This software implements the Louisiana Watershed Initiative (LWI) stream naming algorithm, which is part of the LWI model data naming conventions. These conventions define the naming of physical features (watersheds, streams) as well as HEC-HMS hydrologic and HEC-RAS hydraulic model elements to be incorporated in watershed models developed under the auspices of the LWI.

Faithful application of these standards is critical to ensuring that LWI models are of high quality and are consistent with each other, to the greatest extent practicable. Consistency between models enables interoperability of models between geographies (e.g. coupled HUC8 watersheds) and across modeling frameworks (e.g. integrating HEC-RAS models with ADCIRC in the coastal zone).

License:
Louisiana Watershed Initiative (LWI) Stream Naming Convention Algorithm. Copyright (C) 2021-present State of Louisiana, Division of Administration, Office of Community Development.

This software program was developed by researchers at the Louisiana Watershed Flood Center of the University of Louisiana at Lafayette with funding from the State of Louisiana, Division of Administration, Office of Community Development under the LWI program. The LWI is funded by Community Development Block Grant Mitigation funds from U.S. Department of Housing and Urban Development.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

ABSTRACT:

This resource contains GIS layers necessary to reproduce the analysis of the paper "Stakeholder-Driven Design of a Flood Risk Streamflow Monitoring Network for Louisiana, USA" submitted to the Journal of American Water Resources Association (JAWRA). The analysis of this paper is focused on designing a streamflow gauge monitoring network as part of the Louisiana Watershed Initiative (LWI) program to enhance the hydrologic modeling and monitoring capabilities of the state of Louisiana. The monitoring network is optimized to capitalize on the resources made available by the LWI program while serving the needs of the local, regional, and federal stakeholders in Louisiana as much as possible. The factors taken into the optimization algorithm included the collected feedback from the stakeholders, as well as a variety of geospatial and geomorphic characteristics of the Louisiana stream network. The analysis also used the current and past conditions of stream monitoring (e.g., existing and discontinued USGS locations). A final set of 123 stream gauges were selected to be deployed. The shapefile containing this set of gauges is also included in this resource.