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arXiv · 2012.11154

FlowDB a large scale precipitation, river, and flash flood dataset

Isaac Godfried·Kriti Mahajan·Maggie Wang·Kevin Li·Pranjalya Tiwari
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Abstract

Flooding results in 8 billion dollars of damage annually in the US and causes the most deaths of any weather related event. Due to climate change scientists expect more heavy precipitation events in the future. However, no current datasets exist that contain both hourly precipitation and river flow data. We introduce a novel hourly river flow and precipitation dataset and a second subset of flash flood events with damage estimates and injury counts. Using these datasets we create two challenges (1) general stream flow forecasting and (2) flash flood damage estimation. We have created several publicly available benchmarks and an easy to use package. Additionally, in the future we aim to augment our dataset with snow pack data and soil index moisture data to improve predictions.

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Isaac Godfried, Kriti Mahajan, Maggie Wang, Kevin Li, Pranjalya Tiwari. 2020-12-21. FlowDB a large scale precipitation, river, and flash flood dataset. https://arxiv.org/abs/2012.11154

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