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Input data for flood severity modeling in Norfolk, VA

Authors: Jeff Sadler
Owners: Jeff Sadler · Jonathan Goodall
DOI:10.4211/hs.ff8be5aea3224c15b262bfddd5fb6033 How to Cite
Resource type:Composite Resource
Created:Dec 21, 2017 at 5:14 p.m.
Last updated: Mar 02, 2018 at midnight by Jeff Sadler


This is tabular input data originally used in two data-driven models (Poisson regression and Random Forest) for predicting flood severity. The inputs to the model (or predictor variables) are environmental conditions such as cumulative rainfall, high and low tides, etc. The outputs (or target variable) of the model is the number of flood reports per storm event. This data was used in work that is described in the following paper published in the Journal of Hydrology: https://doi.org/10.1016/j.jhydrol.2018.01.044.

Subject Keywords

Data-driven modelling,Coastal flooding,Urban flooding

How to cite

Sadler, J. (2018). Input data for flood severity modeling in Norfolk, VA, HydroShare, https://doi.org/10.4211/hs.ff8be5aea3224c15b262bfddd5fb6033

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


Sharing status:

  • Published Resource  Published



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


 Start Date:
 End Date:


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The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
Jeff Sadler University of Virginia


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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