| Authors: | Jeff Sadler |
|---|---|
| Owners: | Jonathan Goodall · Jeff Sadler |
| DOI: | 10.4211/hs.5db7884111fb4662a13f64707c0c6890 How to Cite |
| Resource type: | Composite Resource |
| Created: | Jan 02, 2018 at 9:33 p.m. |
| Last updated: | Mar 02, 2018 at midnight by Jeff Sadler |
Abstract
Script and accompanying notebook written in Python 2.7 for combining flood report data (output) and environmental data (input) into a format suitable for a data-driven model. These data used as target values for street data-driven flood prediction severity modeling for Norfolk, VA 2010-2016. This modeling is described in this Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.
Subject Keywords
Python,Data-driven modeling,Urban flood modeling
How to cite
Sadler, J. (2018). Script for combining street flood severity model input, output, HydroShare, https://doi.org/10.4211/hs.5db7884111fb4662a13f64707c0c6890
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Sharing status:
-
Published
Coverage
Spatial:
| Coordinate System/Geographic Projection: | WGS 84 EPSG:4326 |
| Coordinate Units: | Decimal degrees |
North Latitude
36.9657°
East Longitude
-76.1665°
South Latitude
36.8064°
West Longitude
-76.3341°
Temporal:
| Start Date: | |
| End Date: |
- Open
- Download
- Download Zipped
- Get file URL
- Open referenced URL
-
OPeNDAP
Content
Please note: This resource contains links to external content. Linked content is NOT stored in
HydroShare, and we can't guarantee its availability, quality, or security.
Authors
The people
or organizations that created the intellectual content
of the resource.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Jeff Sadler | University of Virginia |
Comments
There are currently no comments
New Comment