Journal
CLIMATE DYNAMICS
Volume 32, Issue 5, Pages 635-648Publisher
SPRINGER
DOI: 10.1007/s00382-008-0434-2
Keywords
ENSO; High-frequency variability; ENSO/MJO interaction; Scale interaction
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Funding
- Korea Meteorological Administration Research and Development Program [CATER_2006-4206]
- NSF [ATM-0652145, ATM-0650552]
- NOAA [GC01229]
- Ministry of Education, Culture, Sports, Science, and Technology (MEXT) in Japan
- Global Environment Research Fund (S-5-2) of the Ministry of the Environment, Japan
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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.
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