Script for aggregating Norfolk, VA environmental data to daily time scale
|Owners:||Jonathan Goodall · Jeff Sadler|
|DOI:||10.4211/hs.41c8d8f8788c4ba0b0bfbb924fe1d403 How to Cite|
|Resource type:||Composite Resource|
|Created:||Jan 02, 2018 at 9:47 p.m.|
|Last updated:||Mar 02, 2018 at midnight by Jeff Sadler|
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.
Rainfall,Urban,Python,Data-driven modeling,Tide,Groundwater,Coastal environments,Wind
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Coordinate System/Geographic Projection:||WGS 84 EPSG:4326|
|Coordinate Units:||Decimal degrees|
|Jeff Sadler||University of Virginia|
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This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Mid-Atlantic Transportation Sustainability Center|
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