Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany-Reference-Cited by-同舟云学术

Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany

Published:2020-05 Issue:5 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Schmidt Lennart¹²^ORCID,Heße Falk²³^ORCID,Attinger Sabine²³^ORCID,Kumar Rohini²^ORCID

Affiliation:

1. Department of Monitoring and Exploration Technologies Helmholtz Centre for Environmental Research—UFZ Leipzig Germany

2. Department of Computational Hydrosystems Helmholtz Centre for Environmental Research—UFZ Leipzig Germany

3. Institute of Earth and Environmental Sciences University of Potsdam Potsdam Germany

Funder

Helmholtz-Gemeinschaft

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025924

Reference60 articles.

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