Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia

Comparison of Machine Learning Models in Simulating Glacier Mass Balance: Insights from Maritime and Continental Glaciers in High Mountain Asia

Accurately simulating glacier mass balance (GMB) data is crucial for assessing the impacts of climate change on glacier dynamics. Since physical models often face challenges in comprehensively accounting for factors influencing glacial melt and uncertainties in inputs, machine learning (ML) offers a...

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Bibliographic Details
Main Authors: Weiwei Ren, Zhongzheng Zhu, Yingzheng Wang, Jianbin Su, Ruijie Zeng, Donghai Zheng, Xin Li
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
glacier mass balance
machine learning
maritime glaciers
continental glaciers
GBDT
Online Access:https://www.mdpi.com/2072-4292/16/6/956

Internet

https://www.mdpi.com/2072-4292/16/6/956

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