Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models

作     者：Junjie Ma Ren Li Zhongwei Huang Tonghua Wu Xiaodong Wu Lin Zhao Hongchao Liu Guojie Hu Yao Xiao Yizhen Du Shuhua Yang Wenhao Liu Yongliang Jiao Shenning Wang 

作者机构：Cryosphere Research Station on the Qinghai-Tibet PlateauState Key Laboratory of Cryospheric ScienceNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouPeople’s Republic of China University of Chinese Academy of SciencesBeijingPeople’s Republic of China Key Laboratory for Semi-Arid Climate Change of the Ministry of EducationCollege of Atmospheric SciencesLanzhou UniversityLanzhouPeople’s Republic of China School of Geographical SciencesNanjing University of Information Science & TechnologyNanjingPeople’s Republic of China Zaozhuang UniversityZaozhuangPeople’s Republic of China 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2022年第15卷第1期

页      面：1947-1965页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：supported by the National Key Research and Development Program of China:[Grant Number 2020YFA0608502] the National Natural Science Foundation of China:[Grant Number 42071093] the Natural Science Foundation of Gansu Province:[Grant Number 22JR5RA054] the State Key Laboratory of Cryospheric Science:[Grant Number SKLCS-ZZ-2022] the National Natural Science Foundation of China:[Grant Number 41941015,41671070] 

主　　题：Qinghai-Tibet Plateau Arctic surface energy budget permafrost 

摘      要：The surface energy budget over the Qinghai-Tibet Plateau(QTP)and the Arctic significantly influences the climate system with global *** performances of 30 selected Coupled Model Intercomparison Project Phase 6(CMIP6)models were evaluated based on six sites in the QTP and *** simulation results for latent heat flux(LE)were more accurate in the QTP,where the correlation coefficient and root mean square error(RMSE)were 0.9 and 30 W m−2,*** results for sensible heat flux(H)were more accurate in the Arctic,the correlation coefficient and RMSE were 0.8 and 24 W m−2,***,the multiple models mean results revealed that the surface energy flux had seasonal variation and regional differences over the QTP and the *** the QTP,H was the lowest in winter,increased in spring,and reached the maximum in ***,the transitional changes in spring and autumn were not apparent in the Arctic,mainly due to seasonal net radiation difference between the two *** was affected by precipitation and surface soil moisture *** work is important for understanding land-atmosphere interactions and useful for improving the accuracy of land surface models simulations.