Estimating latent heat flux of subtropical forests using machine learning algorithms

Estimating latent heat flux of subtropical forests using machine learning algorithms

Abstract Latent heat flux (LE) is a measure of the water exchange between Earth's surface and atmosphere, also known as evapotranspiration. It is a fundamental component in the Earth's energy budget and hydrological cycle and plays an important role in regulating the weather and climate. M...

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Bibliographic Details
Main Authors: Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Meteorological Applications
Subjects:
AdaBoost
evapotranspiration
gradient boosting
latent heat flux
random forest regression
subtropical forest
Online Access:https://doi.org/10.1002/met.70023
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https://doi.org/10.1002/met.70023

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