Dataset Open Access

Flood Modeling Dataset 2

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb

This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregression.org/

The goal of this dataset is to predict maximum water depth for flood modelling. The dataset contains 559 hourly rainfall events time series which are used to predict the maximum water depth of a domain (Digital Elevation Model, DEM). The rainfall events and DEM are generated synthetically by researchers at Monash University because real DEM data with accurate rainfall events are rare. 

Data Donor
Jihane Elyahyioui, jihane.elyahyioui@monash.edu

Files (1.2 MB)
Name Size
FloodModeling2_TEST.ts
md5:0faef5154db8b70c1c66f50b66fd1f1e
378.7 kB Download
FloodModeling2_TRAIN.ts
md5:e37169a750fba46b49b43f42ee635f83
870.5 kB Download
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