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

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Type: 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
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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:

Subject Keywords



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

The content of this resource references
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,

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


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