Sandtank-ML: An Educational Tool at the Interface of Hydrology and Machine Learning

Sandtank-ML: An Educational Tool at the Interface of Hydrology and Machine Learning

Hydrologists and water managers increasingly face challenges associated with extreme climatic events. At the same time, historic datasets for modeling contemporary and future hydrologic conditions are increasingly inadequate. Machine learning is one promising technological tool for navigating the ch...

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Bibliographic Details
Main Authors: Lisa K. Gallagher, Jill M. Williams, Drew Lazzeri, Calla Chennault, Sebastien Jourdain, Patrick O’Leary, Laura E. Condon, Reed M. Maxwell
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Water
Subjects:
hydrology
machine learning
education
hydrological modeling
Online Access:https://www.mdpi.com/2073-4441/13/23/3328

Internet

https://www.mdpi.com/2073-4441/13/23/3328

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