Estimating Surface Downward Longwave Radiation Using Machine Learning Methods

Estimating Surface Downward Longwave Radiation Using Machine Learning Methods

The downward longwave radiation (<i>L<sub>d</sub></i>, 4–100 μm) is a major component of research for the surface radiation energy budget and balance. In this study, we applied five machine learning methods, namely artificial neural network (ANN), support vector regression (S...

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Bibliographic Details
Main Authors: Chunjie Feng, Xiaotong Zhang, Yu Wei, Weiyu Zhang, Ning Hou, Jiawen Xu, Kun Jia, Yunjun Yao, Xianhong Xie, Bo Jiang, Jie Cheng, Xiang Zhao
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Atmosphere
Subjects:
downward longwave radiation
machine learning
GBRT
energy budget
random forest
Online Access:https://www.mdpi.com/2073-4433/11/11/1147

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