Dataset Open Access

Flood Modeling Dataset 2

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3902696", 
  "author": [
    {
      "family": "Chang Wei Tan"
    }, 
    {
      "family": "Christoph Bergmeir"
    }, 
    {
      "family": "Francois Petitjean"
    }, 
    {
      "family": "Geoffrey I Webb"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        6, 
        21
      ]
    ]
  }, 
  "abstract": "<p>This dataset is part of the Monash, UEA &amp;&nbsp;UCR time series regression repository.&nbsp;<a href=\"http://tseregression.org/\">http://tseregression.org/</a></p>\n\n<p>The goal of this dataset is to predict maximum water depth for flood modelling.&nbsp;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.&nbsp;<br>\n<br>\nData Donor<br>\nJihane Elyahyioui, jihane.elyahyioui@monash.edu</p>", 
  "title": "Flood Modeling Dataset 2", 
  "type": "dataset", 
  "id": "3902696"
}
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