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Impacts of Topographic Complexity on Modeling Moisture Transport and Precipitation over the Tibetan Plateau in Summer 被引量:4

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摘要 The non-hydrostatic global variable resolution model(MPAS-atmosphere)is used to conduct the simulations for the South Asian Summer monsoon season(June,July,and August)in 2015 with a refinement over the Tibetan Plateau(TP)at the convection-permitting scale(4 km).Two experiments with different topographical datasets,complex(4-km)and smooth(60-km)topography,are designed to investigate the impacts of topographical complexity on moisture transport and precipitation.Compared with the observations and reanalysis data,the simulation can successfully capture the general features of key meteorological fields over the TP despite slightly underestimating the inflow through the southern TP.The results indicate that the complex topography can decrease the inward and outward moisture transport,ultimately increasing the total net moisture transport into the TP by~11%.The impacts of complex topography on precipitation are negligible over the TP,but the spatial distributions of precipitation over the Himalayas are significantly modulated.With the inclusion of complex topography,the sharper southern slopes of the Himalayas shift the lifted airflow and hence precipitation northward compared to the smooth topography.In addition,more small-scale valleys are resolved by the inclusion of complex topography,which serve as channels for moisture transport across the Himalayas,further favoring a northward shift of precipitation.Overall,the difference between the two experiments with different topography datasets is mainly attributed to their differing representation of the degree of the southern slopes of the Himalayas and the extent to which the valleys are resolved.
出处 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2022年第7期1151-1166,I0023,I0024,共18页 大气科学进展(英文版)
基金 supported by the National Natural Science Foundation of China NSFC (Grant Nos.91837310,42061134009,41775146) the USTC Research Funds of the Double First-Class Initiative (YD2080002007) the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB41000000)
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