Search Results for author: David Walling

Found 2 papers, 1 papers with code

Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models

1 code implementation28 Sep 2023 Jerry Lin, Sungduk Yu, Tom Beucler, Pierre Gentine, David Walling, Mike Pritchard

The implication is that hundreds of candidate ML models should be evaluated online to detect the effects of parameterization design choices.

Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

no code implementations31 Jan 2019 Alexander Y. Sun, Bridget R. Scanlon, Zizhan Zhang, David Walling, Soumendra N. Bhanja, Abhijit Mukherjee, Zhi Zhong

Global hydrological and land surface models are increasingly used for tracking terrestrial total water storage (TWS) dynamics, but the utility of existing models is hampered by conceptual and/or data uncertainties related to various underrepresented and unrepresented processes, such as groundwater storage.

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