Progress Towards Achieving the Challenge of Indian Summer Monsoon Climate Simulation in a Coupled Ocean-Atmosphere Model

被引:32
|
作者
Hazra, Anupam [1 ]
Chaudhari, Hemantkumar S. [1 ]
Saha, Subodh Kumar [1 ]
Pokhrel, Samir [1 ]
Goswami, B. N. [2 ]
机构
[1] Indian Inst Trop Meteorol, Pune, Maharashtra, India
[2] Cotton Coll State Univ, Gauhati, India
来源
关键词
EXTENDED RANGE PREDICTION; CUMULUS CLOUD ENSEMBLE; INTRASEASONAL OSCILLATIONS; POTENTIAL PREDICTABILITY; INTERANNUAL VARIABILITY; PRECIPITATING CLOUDS; CONVECTIVE TRIGGER; STRATIFORM RAIN; MOISTURE MODES; PART I;
D O I
10.1002/2017MS000966
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Simulation of the spatial and temporal structure of the monsoon intraseasonal oscillations (MISOs), which have effects on the seasonal mean and annual cycle of Indian summer monsoon (ISM) rainfall, remains a grand challenge for the state-of-the-art global coupled models. Biases in simulation of the amplitude and northward propagation of MISOs and related dry rainfall bias over ISM region in climate models are limiting the current skill of monsoon prediction. Recent observations indicate that the convective microphysics of clouds may be critical in simulating the observed MISOs. The hypothesis is strongly supported by high fidelity in simulation of the amplitude and space-time spectra of MISO by a coupled climate model, when our physically based modified cloud microphysics scheme is implemented in conjunction with a modified new Simple Arakawa Schubert (nSAS) convective parameterization scheme. Improved simulation of MISOs appears to have been aided by much improved simulation of the observed high cloud fraction and convective to stratiform rain fractions and resulted into a much improved simulation of the ISM rainfall, monsoon onset, and the annual cycle.
引用
收藏
页码:2268 / 2290
页数:23
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