Learning landscape features from streamflow with autoencoders

Learning landscape features from streamflow with autoencoders

<p>Recent successes with machine learning (ML) models in catchment hydrology have highlighted their ability to extract crucial information from catchment properties pertinent to the rainfall–runoff relationship. In this study, we aim to identify a minimal set of catchment signatures in streamf...

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Bibliographic Details
Main Authors: A. Bassi, M. Höge, A. Mira, F. Fenicia, C. Albert
Format: Article
Language:English
Published: Copernicus Publications 2024-11-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/28/4971/2024/hess-28-4971-2024.pdf
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