A Flood Prediction Benchmark Focused on Unknown Extreme Events

Dimitri Bratzel, Stefan Wittek, Andreas Rausch

2023

Abstract

Global warming is causing an increase in extreme weather events, making flood events more likely. In order to prevent casualties and damages in urban areas, flood prediction has become an essential task. While machine learning methods have shown promising results in this task, they face challenges when predicting events that fall outside the range of their training data. Since climate change is also impacting the intensity of rare events (i.e. by heavy rainfall) this challenge gets more and more pressing. Thus, this paper presents a benchmark for the evaluation of machine learning-based flood prediction for such rare, extreme events that exceed known maxima. The benchmark includes a real-world dataset, the implementation of a reference model, and an evaluation framework that is especially suited analysing potential danger during an extreme event and measuring overall performance. The dataset, the code of the evaluation framework, and the reference models are publicated alongside this paper.

Paper Citation

in Harvard Style

Bratzel D., Wittek S. and Rausch A. (2023). A Flood Prediction Benchmark Focused on Unknown Extreme Events. In Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH; ISBN 978-989-758-668-2, SciTePress, pages 267-278. DOI: 10.5220/0012081700003546

in Bibtex Style

@conference{simultech23,
author={Dimitri Bratzel and Stefan Wittek and Andreas Rausch},
title={A Flood Prediction Benchmark Focused on Unknown Extreme Events},
booktitle={Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH},
year={2023},
pages={267-278},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012081700003546},
isbn={978-989-758-668-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH
TI - A Flood Prediction Benchmark Focused on Unknown Extreme Events
SN - 978-989-758-668-2
AU - Bratzel D.
AU - Wittek S.
AU - Rausch A.
PY - 2023
SP - 267
EP - 278
DO - 10.5220/0012081700003546
PB - SciTePress