首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Effect of Stochastic MJO Forcing on ENSO Predictability
Authors:PENG Yuehu  DUAN Wansuo and XIANG Jie
Institution:The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, Department of Military Oceanography, Dalian Naval Academy, Dalian 116018, Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101,The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101
Abstract:Within the frame of the Zebiak-Cane model, the impact of the uncertainties of the Madden--Julian Oscillation (MJO) on ENSO predictability was studied using a parameterized stochastic representation of intraseasonal forcing. The results show that the uncertainties of MJO have little effect on the maximum prediction error for ENSO events caused by conditional nonlinear optimal perturbation (CNOP); compared to CNOP-type initial error, the model error caused by the uncertainties of MJO led to a smaller prediction uncertainty of ENSO, and its influence over the ENSO predictability was not significant. This result suggests that the initial error might be the main error source that produces uncertainty in ENSO prediction, which could provide a theoretical foundation for the data assimilation of the ENSO forecast.
Keywords:Madden--Julian Oscillation (MJO)  El Ni\~{n}o--Southern Oscillation (ENSO)  conditional nonlinear optimal perturbation (CNOP)  model error
本文献已被 CNKI SpringerLink 等数据库收录!
点击此处可从《大气科学进展》浏览原始摘要信息
点击此处可从《大气科学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号