The Value of Large‐Scale Climatic Indices for Monthly Forecasting Severity of Widespread Flooding Using Dilated Convolutional Neural Networks

The Value of Large‐Scale Climatic Indices for Monthly Forecasting Severity of Widespread Flooding Using Dilated Convolutional Neural Networks

Abstract Spatially co‐occurring floods pose a threat to the resilience and recovery of the communities. Their timely forecasting plays a crucial role for increasing flood preparedness and limiting associated losses. In this study we investigated the potential of a dilated Convolutional Neural Networ...

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Bibliographic Details
Main Authors: Larisa Tarasova, Bodo Ahrens, Amelie Hoff, Upmanu Lall
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Earth's Future
Subjects:
flood forecasting
neural networks
deep learning
flood generation processes
climatic drivers
climatic indices
Online Access:https://doi.org/10.1029/2023EF003680

Internet

https://doi.org/10.1029/2023EF003680

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