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Simulation of state-dependent high-frequency atmospheric variability associated with ENSO
Cited 26 time in
Web of Science
Cited 26 time in Scopus
- Authors
- Issue Date
- 2009-04
- Publisher
- Springer Verlag
- Citation
- Climate Dynamics, Vol.32 No.5, pp.635-648
- Abstract
- High-frequency atmospheric variability depends on the phase of El Nino/Southern Oscillation (ENSO). Recently, there is increasing evidence that state-dependent high-frequency atmospheric variability significantly modulates ENSO characteristics. Hence, in this study, we examine the model simulations of high-frequency atmospheric variability and, further, its dependency on the El Nino phase, using atmospheric and coupled GCMs (AGCM and CGCM). We use two versions of physical packages here-with and without convective momentum transport (CMT)-in both models. We found that the CMT simulation gives rise to a large climatological zonal wind difference over the Pacific. Also, both the climate models show a significantly improved performance in simulating the state-dependent noise when the CMT parameterization is implemented. We demonstrate that the better simulation of the state-dependent noise results from a better representation of anomalous, as well as climatological, zonal wind. Our further comparisons between the simulations, demonstrates that low-frequency wind is a crucial factor in determining the state-dependency of high-frequency wind variability. Therefore, it is suggested that the so-called state-dependent noise is directly induced by the low-frequency wind anomaly, which is caused by SST associated with ENSO.
- ISSN
- 0930-7575
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Related Researcher
- College of Natural Sciences
- Department of Earth and Environmental Sciences
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