The Representation of Soil Moisture−Atmosphere Feedbacks across the Tibetan Plateau in CMIP6

作     者：Joshua TALIB Omar V.MÜLLER Emma J.BARTON Christopher M.TAYLOR Pier Luigi VIDALE Joshua TALIB;Omar V.MÜLLER;Emma J.BARTON;Christopher M.TAYLOR;Pier Luigi VIDALE

作者机构：U.K.Centre of Ecology and HydrologyWallingfordOX108BBU.K. National Centre for Atmospheric ScienceReadingRG66BBU.K. Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET)Centro de Estudios de Variabilidad y Cambio Climático(CEVARCAM)Facultad de Ingeniería y Ciencias HídricasUniversidad Nacional del LitoralSanta FeArgentina National Centre for Earth ObservationWallingfordOX108BBU.K. Department of MeteorologyUniversity of ReadingReadingRG66BBU.K. 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2023年第40卷第11期

页      面：2063-2081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 UK-China Research Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund supported by the Natural Environment Research Council as part of the NC-International programme (NE/X006247/1) delivering National Capability 

主　　题：model evaluation land-atmosphere feedbacks Tibetan Plateau precipitation surface energy balance 

摘      要：Thermal processes on the Tibetan Plateau(TP)influence atmospheric conditions on regional and global *** this,previous work has shown that soil moisture−driven surface flux variations feed back onto the *** soil moisture is a source of atmospheric predictability,no study has evaluated soil moisture−atmosphere coupling on the TP in general circulation models(GCMs).In this study,we use several analysis techniques to assess soil moisture−atmosphere coupling in CMIP6 simulations including:instantaneous coupling indices;analysis of flux and atmospheric behaviour during dry spells;and a quantification of the preference for convection over drier *** these metrics we partition feedbacks into their atmospheric and terrestrial *** with previous global studies,we conclude substantial inter-model differences in the representation of soil moisture−atmosphere coupling,and that most models underestimate such *** on dry spell analysis,most models underestimate increased sensible heat during periods of rainfall *** example,the model-mean bias in anomalous sensible heat flux is 10 W m−2(≈25%)smaller compared to *** dry-spell sensible heat fluxes lead to a weaker atmospheric *** also find that most GCMs fail to capture the negative feedback between soil moisture and deep *** poor simulation of feedbacks in CMIP6 experiments suggests that forecast models also struggle to exploit soil moisture−driven *** improve the representation of land−atmosphere feedbacks requires developments in not only atmospheric modelling,but also surface processes,as we find weak relationships between rainfall biases and coupling indexes.