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

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
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
Citation:	See how to cite this resource
Content types:	Single File Content

Sharing Status:	Published
Views:	1977
Downloads:	189
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Abstract

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.

Subject Keywords

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:

Content

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Related Resources

The content of this resource references

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

Credits

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.

http://creativecommons.org/licenses/by/4.0/

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