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Hurricane Harvey flood inundation simulation


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Type: Resource
Storage: The size of this resource is 33.3 MB
Created: Dec 29, 2021 at 4:03 p.m.
Last updated: May 25, 2022 at 11:05 p.m.
DOI: 10.4211/hs.fae24734d6fc47be8bf0b54d6a175d86
Citation: See how to cite this resource
Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

The datasets are published in the following papers:
Zhi Li, Mengye Chen, Shang Gao, Xiangyu Luo, Jonathan J. Gourley, Pierre Kirstetter, Tiantian Yang, Randall Kolar, Amy McGovern, Yixin Wen, Bo Rao, Teshome Yami, Yang Hong, CREST-iMAP v1.0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction, Environmental Modelling & Software, Volume 141, 2021, 105051, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2021.105051

And

Chen, Mengye, Zhi Li, Shang Gao, Xiangyu Luo, Oliver E. J. Wing, Xinyi Shen, Jonathan J. Gourley, Randall L. Kolar, and Yang Hong. " A Comprehensive Flood Inundation Mapping for Hurricane Harvey Using an Integrated Hydrological and Hydraulic Model", Journal of Hydrometeorology 22, 7 (2021): 1713-1726, accessed Dec 29, 2021, https://doi.org/10.1175/JHM-D-20-0218.1

The CREST-iMAP simulation of Hurricane Harvey covers a portion of Metro Houston (10m resolution) and its adjacent Spring Basin (100m resolution). To note: the datasets are converted to GeoTIFF from their original model output format.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Houston
North Latitude
30.3927°
East Longitude
-95.1932°
South Latitude
29.8172°
West Longitude
-96.0051°

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://doi.org/10.1016/j.envsoft.2021.105051
The content of this resource is derived from https://doi.org/10.1175/JHM-D-20-0218.1

Credits

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
Oliver Wing University of Bristol
Xiangyu Luo frlc OK, US

How to Cite

Chen, M., Z. Li, University of Oklahoma (2022). Hurricane Harvey flood inundation simulation, HydroShare, https://doi.org/10.4211/hs.fae24734d6fc47be8bf0b54d6a175d86

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

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

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