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

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: Article
Language:English
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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