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Satellite Impact on the Analysis of Southern Hemisphere Blocking Climatology and Variability

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dc.contributor.authorKwon, Hataek-
dc.contributor.authorKim, Baek-Min-
dc.contributor.authorPark, Sangjong-
dc.contributor.authorSon, Seok-Woo-
dc.description.abstractThe variability of Southern Hemisphere (SH) blocking events is examined using the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) reanalysis data and hybrid blocking index. The hybrid index combines two widely used indices, the Dole-Gordon and the Tibaldi-Molteni indices, in a simple way (E. Dunn-Sigouin, S.-W. Son, and H. Lin, 2012). The 40-year data, from 1966 to 2005, are used to generate a long-term climatology of blocking frequency in this study. In the analysis of annual mean blocking frequency, the primary location for blocking occurrence is present over the southern central Pacific Ocean throughout the year. The blocking frequency maximum is located between 120 and 150°W and it is extended into the southern Indian and Atlantic Oceans. In contrast to the obvious seasonal variability of blocking frequency in Norther Hemisphere, there is no significant variability of the blocking frequency depends on the season in SH. However, the principle regions of blocking occurrence is shows difference between seasons. It moved toward east in southern Pacific Ocean during summer (DJF). The number of blocking events decrease almost exponentially as blocking duration increase. Only a few events are found with a time scale of over 10 days.-
dc.titleSatellite Impact on the Analysis of Southern Hemisphere Blocking Climatology and Variability-
dc.title.alternative위성자료동화가 남반구 블라킹의 기후학적 특성 및 변동성 분석에 미치는 영향-
dc.identifier.bibliographicCitationKwon, Hataek, et al. 2016. Satellite Impact on the Analysis of Southern Hemisphere Blocking Climatology and Variability. The 11th Antarctic Meteorological Observation, Modeling & Forecasting Workshop. The Ohio State University. 2016.06.04~2016.06.11.-
dc.citation.conferenceNameThe 11th Antarctic Meteorological Observation, Modeling & Forecasting Workshop-
dc.citation.conferencePlaceThe Ohio State University-
Appears in Collections  
2015-2017, Numerical Simulation of 3-dimensional Wind Distribution near the Jang Bogo Antarctic Research Station (15-17) / Kim, Baek-Min
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