A Stochastic Conceptual Model for the Coupled ENSO and MJO
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| Format: | Preprint |
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2024
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| _version_ | 1866916473316835328 |
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| author | Moser, Charlotte Chen, Nan Zhang, Yinling |
| author_facet | Moser, Charlotte Chen, Nan Zhang, Yinling |
| contents | Understanding the interactions between the El Nino-Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO) is essential to studying climate variabilities and predicting extreme weather events. Here, we develop a stochastic conceptual model for describing the coupled ENSO-MJO phenomenon. The model adopts a three-box representation of the interannual ocean component to characterize the ENSO diversity. For the intraseasonal atmospheric component, a low-order Fourier representation is used to describe the eastward propagation of the MJO. We incorporate decadal variability to account for modulations in the background state that influence the predominant types of El Nino events. In addition to dynamical coupling through wind forcing and latent heat, state-dependent noise is introduced to characterize the statistical interactions among these multiscale processes, improving the simulation of extreme events. The model successfully reproduces the observed non-Gaussian statistics of ENSO diversity and MJO spectra. It also captures the interactions between wind, MJO, and ENSO. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_05264 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Stochastic Conceptual Model for the Coupled ENSO and MJO Moser, Charlotte Chen, Nan Zhang, Yinling Atmospheric and Oceanic Physics Dynamical Systems 34F05, 86-10 Understanding the interactions between the El Nino-Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO) is essential to studying climate variabilities and predicting extreme weather events. Here, we develop a stochastic conceptual model for describing the coupled ENSO-MJO phenomenon. The model adopts a three-box representation of the interannual ocean component to characterize the ENSO diversity. For the intraseasonal atmospheric component, a low-order Fourier representation is used to describe the eastward propagation of the MJO. We incorporate decadal variability to account for modulations in the background state that influence the predominant types of El Nino events. In addition to dynamical coupling through wind forcing and latent heat, state-dependent noise is introduced to characterize the statistical interactions among these multiscale processes, improving the simulation of extreme events. The model successfully reproduces the observed non-Gaussian statistics of ENSO diversity and MJO spectra. It also captures the interactions between wind, MJO, and ENSO. |
| title | A Stochastic Conceptual Model for the Coupled ENSO and MJO |
| topic | Atmospheric and Oceanic Physics Dynamical Systems 34F05, 86-10 |
| url | https://arxiv.org/abs/2411.05264 |