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Data for "A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure"


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Type: Resource
Storage: The size of this resource is 571.1 MB
Created: Oct 17, 2019 at 5:23 p.m.
Last updated: Jan 27, 2022 at 5:15 p.m.
DOI: 10.4211/hs.e314ed52a83a46dd9e575304c299bd83
Citation: See how to cite this resource
Content types: Geographic Feature Content 
Sharing Status: Published
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Abstract

Hurricane Harvey maximum inundation depth and extents produced using the Interconnected Channel and Pond Routing Model. The full paper can be accessed at https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR025769

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
30.4448°
East Longitude
-94.8778°
South Latitude
29.5719°
West Longitude
-95.8502°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

The content of this resource is derived from https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR025769
The content of this resource is derived from National Land Cover Database 2011
The content of this resource is derived from United States Geological Survey (USGS)
The content of this resource is derived from State Soil Geographic Database (STATSGO)
The content of this resource is derived from National Hydrography Dataset (NHD)
The content of this resource is derived from North American Land Data Assimilation System (NLDAS)
The content of this resource is derived from United States Census Bureau, Geography Division
The content of this resource is derived from USGS National Water Information System

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation (NSF) 1737633

How to Cite

Saksena, S., S. Dey, V. Merwade, P. Singhofen (2021). Data for "A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure", HydroShare, https://doi.org/10.4211/hs.e314ed52a83a46dd9e575304c299bd83

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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