Hampton Roads Environmental Time Series Data

Resource type: Composite Resource
Storage: The size of this resource is 1.0 GB
Created: Jul 20, 2017 at 7:18 p.m.
Last updated: Mar 01, 2018 at 10:08 p.m.
DOI: 10.4211/hs.9e1b23607ac240588ba50d6b5b9a49b5
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Published
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This is raw environmental time series data stored in a sqlite database with a data schema loosely based off of ODM1.1. This scheme is shown in the data model figure included in the resource. The geographical location of these data is in the Hampton Roads region in South East Virginia. The variables of the time series are rainfall, tide, wind, and water table elevations. These data were processed and used as input for data-driven modeling for street flood severity prediction. The processing and modeling are described in this Journal of Hydrology Paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.

Subject Keywords

Resource Level Coverage


Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:



Related Resources

This resource cites: https://doi.org/10.1016/j.jhydrol.2018.01.044
The content of this resource serves as the data for: https://www.hydroshare.org/resource/41c8d8f8788c4ba0b0bfbb924fe1d403/
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Data-driven street flood severity modeling in Norfolk, Virginia USA 2010-2016 Jeff Sadler · Jonathan Goodall  Public &  Shareable Open Access


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Mid-Atlantic Transportation Sustainability University Transportation Center

How to Cite

Sadler, J. (2018). Hampton Roads Environmental Time Series Data, HydroShare, https://doi.org/10.4211/hs.9e1b23607ac240588ba50d6b5b9a49b5

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



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