Flood Modeling Dataset 2
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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. <br> <br> Data Donor<br> Jihane Elyahyioui, jihane.elyahyioui@monash.edu
本数据集隶属于莫纳什大学（Monash）、UEA与UCR时序回归数据集仓库，相关仓库网址为http://tseregression.org/。 本数据集的任务目标为预测洪水建模所需的最大水深。 该数据集包含559组逐小时降雨事件时序数据，用于预测某一研究区域的最大水深，该区域采用数字高程模型（Digital Elevation Model，DEM）表征。 由于带有准确降雨事件记录的真实DEM数据较为稀缺，本数据集的降雨事件与数字高程模型均由莫纳什大学的研究人员人工合成生成。 数据捐赠者：吉哈内·埃利亚赫伊奥伊（Jihane Elyahyioui），jihane.elyahyioui@monash.edu
