Effect of Stochastic MJO Forcing on ENSO Predictability |
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Authors: | PENG Yuehu DUAN Wansuo and XIANG Jie |
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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 |
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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. |
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Keywords: | Madden--Julian Oscillation (MJO) El Ni\~{n}o--Southern Oscillation (ENSO) conditional nonlinear optimal perturbation (CNOP) model error |
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