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| Type: | Resource | |
| Storage: | The size of this resource is 1.5 MB | |
| Created: | Jan 02, 2018 at 9:37 p.m. | |
| Last updated: | Mar 01, 2018 at 10:13 p.m. | |
| DOI: | 10.4211/hs.6c9e9239f70a421b8c49ae642a7b9291 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Views: | 1839 |
| Downloads: | 84 |
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Abstract
Daily observations data for rainfall, wind, tide, and water table levels. These variables are more fully defined in the raw source data. These data are used as input for data-driven prediction of street flood severity in 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
Coverage
Spatial
Temporal
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Content
Related Resources
| The content of this resource was created by a related App or software program | https://www.hydroshare.org/resource/41c8d8f8788c4ba0b0bfbb924fe1d403/ |
| The content of this resource references | https://doi.org/10.1016/j.jhydrol.2018.01.044 |
| The content of this resource is derived from | https://www.hydroshare.org/resource/9e1b23607ac240588ba50d6b5b9a49b5/ |
| Title | Owners | Sharing Status | My Permission |
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| Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 | Jeff Sadler · Jonathan Goodall | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Mid-Atlantic Transportation Sustainability Center |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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