Soil Moisture-Precipitation Feedback Processes in the Indian Summer Monsoon Season

被引:100
作者
Asharaf, Shakeel [1 ]
Dobler, Andreas [1 ,2 ]
Ahrens, Bodo [1 ,2 ]
机构
[1] Goethe Univ Frankfurt, Inst Atmospher & Environm Sci, D-60438 Frankfurt, Germany
[2] Biodivers & Climate Res Ctr BiK F, Frankfurt, Germany
关键词
REGIONAL CLIMATE MODEL; ATMOSPHERE INTERACTIONS; RAINY-SEASON; RAINFALL; ONSET; SIMULATION; IMPACT; CIRCULATION; SENSITIVITY; PREDICTION;
D O I
10.1175/JHM-D-12-06.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
070601 [气象学];
摘要
Soil moisture can influence precipitation through a feedback loop with land surface evapotranspiration. A series of numerical simulations, including soil moisture sensitivity experiments, have been performed for the Indian summer monsoon season (ISM). The simulations were carried out with the nonhydrostatic regional climate model Consortium for Small-Scale Modeling (COSMO) in climate mode (COSMO-CLM), driven by lateral boundary conditions derived from the ECMWF Interim reanalysis (ERA-Interim). Positive as well as negative feedback processes through local and remote effects are shown to be important. The regional moisture budget studies have exposed that changes in precipitable water and changes in precipitation efficiency vary in importance, in time, and in space in the simulations for India. Overall, the results show that the premonsoonal soil moisture has a significant influence on the monsoonal precipitation, and thus confirmed that modeling of soil moisture is essential for reliable simulation and forecasting of the ISM.
引用
收藏
页码:1461 / 1474
页数:14
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