Data for "A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure"
| Authors: | ${ author.name | nameWithoutCommas } ${ author.organization } ${ author.email } | |
|---|---|---|
| Owners: |
|
|
| Resource type: | Composite Resource | |
| Storage: | The size of this resource is 764.0 MB | |
| Created: | Oct 17, 2019 at 5:23 p.m. | |
| Last updated: | Jan 06, 2020 at 5:10 p.m.
|
|
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content |
| Sharing Status: | Discoverable |
|---|---|
| Views: | 415 |
| Downloads: | 6 |
| +1 Votes: | Be the first one to +1 this. (You need to be logged in to rate this.) |
| Comments: | No comments (yet) |
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
Duplicate. Keyword not added.
Error: ${ error }
Deleting all keywords will set the resource sharing status to private.
Resource Level 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
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
References
Sources
| Derived From: | National Land Cover Database 2011 |
| Derived From: | United States Geological Survey (USGS) |
| Derived From: | State Soil Geographic Database (STATSGO) |
| Derived From: | National Hydrography Dataset (NHD) |
| Derived From: | North American Land Data Assimilation System (NLDAS) |
| Derived From: | United States Census Bureau, Geography Division |
| Derived From: | USGS National Water Information System |
Related Resources
| isHostedBy | https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019WR025769 |
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 (2020). Data for "A Computationally Efficient and Physically Based Approach for Urban Flood Modeling Using a Flexible Spatiotemporal Structure", HydroShare, http://www.hydroshare.org/resource/e314ed52a83a46dd9e575304c299bd83 |
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment