Published on 21 June 2020

Flood Modeling Dataset 1

View Dataset
Tan, Chang Wei;Bergmeir, Christoph;Petitjean, Francois;Webb, Geoffrey I

Description

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, [email protected]

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.6

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Global and Planetary Change

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

84%

Source

Open Alex

Keywords

time seriesregression

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00