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Script for aggregating Norfolk, VA environmental data to daily time scale

Resource type: Composite Resource
Storage: The size of this resource is 145.7 KB
Created: Jan 02, 2018 at 9:47 p.m.
Last updated: Mar 01, 2018 at 10:13 p.m.
DOI: 10.4211/hs.41c8d8f8788c4ba0b0bfbb924fe1d403
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Published
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Script and accompanying ipython notebook written in Python 2.7 for aggregating sub-daily environmental data (rainfall, tide, wind, groundwater) to a daily timescale. The input data are from Norfolk, Virginia. Several different methods of aggregation are used including averages and maximums. The processed/aggregated data are combined with street flood report data to be used in data-driven, predictive modeling. The script in this resource was used in the analysis described in this Journal of Hydrology paper: https://doi.org/10.1016/j.jhydrol.2018.01.044.

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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
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 Center

How to Cite

Sadler, J. (2018). Script for aggregating Norfolk, VA environmental data to daily time scale, HydroShare, https://doi.org/10.4211/hs.41c8d8f8788c4ba0b0bfbb924fe1d403

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



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