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Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations
详细信息
作者:
Yunjun Yaoa
;
boyyunjun@163.com" class="auth_mail" title="E-mail the corresponding author
;
Shunlin Lianga
;
Xianglan Lib
;
Shaomin Liua
;
Jiquan Chenc
;
Xiaotong Zhanga
;
Kun Jiaa
;
Bo Jianga
;
Xianhong Xiea
;
Simon Munierd
;
Meng Liua
;
Jian Yua
;
Anders Lindrothe
;
Andrej Varlaginf
;
Antonio Raschig
;
Asko
Noormets
h
;
Casimiro Pioi
;
Georg Wohlfahrtj
;
k
;
Ge Sunl
;
Jean-Christophe Domecm
;
n
;
Leonardo Montagnanio
;
p
;
Magnus Lundq
;
Moors Eddyr
;
s
;
Peter D. Blankent
;
Thomas Grü
;
nwaldu
;
Sebastian Wolfv
;
Vincenzo Magliulow
关键词:
Global terrestrial LE
;
CMIP5
;
GCMs
;
BMA
;
Taylor skill score
刊名:Agricultural and Forest Meteorology
年:2016
期:Complete
DOI:10.1016/j.agrformet.2016.03.016
来源:Elsevier
类型:期刊
摘要
•The model CESM1-CAM5 had the best performance with the highest predictive skill.•The BMA method has improved the accuracy of the CMIP5 GCM’s LE simulation.•A large difference from previous studies is an increasing LE trend after 1998.