globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-016-3207-3
Scopus记录号: 2-s2.0-84976276825
论文题名:
Prediction of a thermodynamic wave train from the monsoon to the Arctic following extreme rainfall events
作者: Krishnamurti T.N.; Kumar V.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2017
卷: 48, 期:2017-07-08
起始页码: 2315
结束页码: 2337
语种: 英语
英文关键词: Arctic ice ; Global WRF ; Heat flux convergence
英文摘要: This study addresses numerical prediction of atmospheric wave trains that provide a monsoonal link to the Arctic ice melt. The monsoonal link is one of several ways that heat is conveyed to the Arctic region. This study follows a detailed observational study on thermodynamic wave trains that are initiated by extreme rain events of the northern summer south Asian monsoon. These wave trains carry large values of heat content anomalies, heat transports and convergence of flux of heat. These features seem to be important candidates for the rapid melt scenario. This present study addresses numerical simulation of the extreme rains, over India and Pakistan, and the generation of thermodynamic wave trains, simulations of large heat content anomalies, heat transports along pathways and heat flux convergences, potential vorticity and the diabatic generation of potential vorticity. We compare model based simulation of many features such as precipitation, divergence and the divergent wind with those evaluated from the reanalysis fields. We have also examined the snow and ice cover data sets during and after these events. This modeling study supports our recent observational findings on the monsoonal link to the rapid Arctic ice melt of the Canadian Arctic. This numerical modeling suggests ways to interpret some recent episodes of rapid ice melts that may require a well-coordinated field experiment among atmosphere, ocean, ice and snow cover scientists. Such a well-coordinated study would sharpen our understanding of this one component of the ice melt, i.e. the monsoonal link, which appears to be fairly robust. © 2016, Springer-Verlag Berlin Heidelberg.
资助项目: NASA, National Aeronautics and Space Administration
Citation statistics:
被引频次[WOS]:3   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53273
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作者单位: Department of Earth, Ocean and Atmospheric Science, Florida State University, Tallahassee, FL, United States

Recommended Citation:
Krishnamurti T.N.,Kumar V.. Prediction of a thermodynamic wave train from the monsoon to the Arctic following extreme rainfall events[J]. Climate Dynamics,2017-01-01,48(2017-07-08)
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