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Research data . Dataset . 2020

Flood Modeling Dataset 1

Chang Wei Tan; Christoph Bergmeir; Francois Petitjean; Geoffrey I Webb;
Open Access
Published: 21 Jun 2020
Publisher: Zenodo
Abstract

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 673 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

Subjects

time series, regression

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