Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

Yao, Yunjun; Liang, Shunlin; Li, Xianglan; Hong, Yang; B. Fisher, Joshua; Zhang, Nannan; Chen, Jiquan; Cheng, Jie; Zhao, Shaohua; Zhang, Xiaotong; Jiang, Bo; Sun, Liang; Jia, Kun; Wang, Kaicun; Yang, Chen; Mu, Qiaozhen; Feng, Fei

doi:10.1002/2013jd020864

Public

Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

Shared by NobleBlocks on Mar 31, 2014 • 12:00 AM UTC

Authors:

Yunjun Yao

Shunlin Liang

Xianglan Li

Abstract

Abstract Accurate estimation of the satellite‐based global terrestrial latent heat flux (LE) at high spatial and temporal scales remains a major challenge. In this study, we introduce a Bayesian model averaging (BMA) method to improve satellite‐based global terrestrial LE estimation by merging five ...

Subject

Eddy covariance

Latent heat

Moderate-resolution imaging spectroradiometer

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