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|Created:||Oct 13, 2021 at 1:58 p.m.|
|Last updated:|| Oct 16, 2021 at 1:30 p.m.
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The tabular input and output data and script for the Random Forest surrogate model built for real-time street flood prediction in Norfolk, VA, USA. The Random Forest surrogate model approximates water depth on streets during pluvial and tidal flood events generated by a 1-D pipe/2-D overland flow hydrodynamic model TUFLOW. The model inputs are topographic features: topographic wetness index, depth to water and elevation, and environmental features such as hourly rainfall, cumulative rainfall in previous hours, hourly tide level, etc. The model's output is hourly water depth on streets during flood events generated by the TUFLOW model.
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/