Simulation of Indian summer monsoon using the Japan Meteorological Agency’s seasonal ensemble prediction system

Journal of Earth system science

D R Pattanaik1²  D S Pai1²  Kailas Sonawane1²  Mahendra Benke1²  O P Sreejith1²  Nitin Patil2¹ 

[1] Interdisciplinary Programme in Climate Studies, Indian Institute of Technology, Mumbai 400 076, India.$$;India Meteorological Department, Pune 411 005, India.$$

关键词: Indian monsoon rainfall;    JMA model;    ensemble prediction system;    forecast skill;    seasonal forecast of monsoon;    coupled model.;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

The performance of a dynamical seasonal forecast system is evaluated for the prediction of summer monsoon rainfall over the Indian region during June–September (JJAS) by using hindcast of the Japan Meteorological Agency (JMA) seasonal ensemble prediction system (EPS) model, based on five ensembles of March, April and May initial states for a period of 32 years (1979–2010).The hindcast climatology during JJAS simulates the mean monsoon circulation at lower and upper tropospheres very well in JMA model using March, April and May ensembles with a more realistic simulation of Webster and Yang’s broad scale monsoon circulation index. The JMA hindcast climatology during JJAS simulates the rainfall maxima over the west-coast of India and the head Bay of Bengal reasonably well, although, the latter is slightly shifted southwestward. Associated with better forecast skills of El Nino in the JMA model, the interannual variability of All India Summer Monsoon Rainfall (AISMR) during the 32-year period has also been very well simulated with a high significant (99% level) correlation in April ensemble followed by that of March and May ensembles. Thus, the present analysis indicates that the JMA seasonal forecast model can prove to be a useful tool for the dynamical seasonal forecast of AISMR.

【 授权许可】

Unknown