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 Noormetsh ; Casimiro Pioi ; Georg Wohlfahrtj ; k ; Ge Sunl ; Jean-Christophe Domecm ; n ; Leonardo Montagnanio ; p ; Magnus Lundq ; Moors Eddyr ; s ; Peter D. Blankent ; Thomas Gr&uuml ; 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.