Type Classification of Sudden Stratospheric Warming Based on Pre- and Postwarming Periods
Cited 15 time in
Cited 15 time in
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Title
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Type Classification of Sudden Stratospheric Warming Based on Pre- and Postwarming Periods
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Other Titles
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성층권 돌연승온 발생 전후 기간에 근거한 유형 분류
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Authors
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Choi, Hyesun
Kim, Baek-Min
Choi, Wookap
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Subject
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Meteorology & Atmospheric Sciences
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Keywords
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Arctic; Waves; atmospheric; Atmosphere; Stratosphere-troposphere coupling; Stratosphere
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Issue Date
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2019-04
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Citation
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Choi, Hyesun, Kim, Baek-Min, Choi, Wookap. 2019. "Type Classification of Sudden Stratospheric Warming Based on Pre- and Postwarming Periods". JOURNAL OF CLIMATE, 32(8): 2349-2367.
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Abstract
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In existing literature, sudden stratospheric warming (SSW) events have been typically defined as displacement or split types. Detailed reexamination of SSW evolution has revealed that an SSW event often alters its type before and after the central day of the warming event. On the basis of this observation, we objectively define three types of SSW using wave amplitude: displacement?displacement (DD) type, displacement?split (DS) type, and split?split (SS) type. The geopotential height (GPH) amplitude of zonal wavenumbers 1 and 2 averaged over 55°?65°N at 10 hPa was used as a criterion for the classification. If the amplitude of zonal wavenumber 1 is larger (smaller) than that of wavenumber 2 before and after the central day of SSW, the event is regarded as a DD (SS) type. If the amplitude of zonal wavenumber 1 is larger than that of wavenumber 2 before the central day but is smaller after that day, the event is regarded as a DS type. The above classification algorithm has been applied to both reanalysis data and model results. We observe that conventional split-type SSW events identified by previous studies can be categorized as either DS- or SS-type events, each type of which exhibits different evolution characteristics. In particular, they are distinctively different during the pre-warming period. In the SS type, the characteristics of the conventional split type are more obvious, and the features that differ from those of the DD type are the most robust. The model results generally resemble the reanalysis data, particularly in the DD cases.
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URI
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https://repository.kopri.re.kr/handle/201206/10893
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DOI
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http://dx.doi.org/10.1175/JCLI-D-18-0223.1
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Type
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Article
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Station
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해당사항없음
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Indexed
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SCI
- Appears in Collections
- 2019-2019, Development and Application of the Korea Polar Prediction System (KPOPS) for Climate Change and Disasterous Weather Events (19-19) / Kim, Joo-Hong (PE19130)
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