Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast

The Laurentian Great Lakes, one of the world’s largest surface freshwater systems, pose a modeling challenge in seasonal forecast and climate projection. While physics-based hydrodynamic modeling is a fundamental approach, improving the forecast accuracy remains critical. In recent years, machine le...

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Bibliographic Details

Main Authors:	Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2022-05-01
Series:	Remote Sensing
Subjects:	deep learning LSTM XAI lake surface temperature Great Lakes model integration
Online Access:	https://www.mdpi.com/2072-4292/14/11/2640
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