气候变化领域集成服务门户(CCPortal): Deterministic prediction of stratospheric sudden warming events in the Global/Regional Integrated Model system (GRIMs)

CCPortal

DOI	10.1007/s00382-020-05320-4
	Deterministic prediction of stratospheric sudden warming events in the Global/Regional Integrated Model system (GRIMs)
	Song K.; Son S.-W.; Charlton-Perez A.
发表日期	2020
ISSN	0930-7575
起始页码	1209
结束页码	1223
卷号	55
英文摘要	The boreal-winter stratospheric sudden warming (SSW) events and their prediction skills by an operational numerical weather prediction model are examined by applying the Global/Regional Integrated Model system (GRIMs) for 18 SSW events from 1980–2012. Based on the mean squared skill score of the 10-hPa geopotential height field, which considers the SSW spatial structure, most SSW events are predicted with a maximum forecast lead time of approximately 15 days. The vortex-displacement SSW events are slightly better predicted than the vortex-split SSW events, and the predictions are improved during El Niño or easterly quasi-biennial oscillation winters. However, the skill difference in vortex morphology and background state is statistically insignificant. The decomposition of model errors into zonal-mean and eddy errors reveals that the model errors mostly result from eddy components. In particular, eddy-amplitude errors, which originate from a misrepresentation of the planetary-scale wave amplitude (i.e., polar vortex strength), play an important role in determining the SSW prediction skill with a non-negligible contribution from eddy-phase errors. These errors are mostly caused by the misdetection of short-term wave activities immediately before the SSW onset. Furthermore, an improved SSW prediction through well-represented planetary-scale wave activities is related to an improved prediction in the troposphere on time scales of 10 days and longer. This result confirms that better representation of the stratosphere could lead to improved subseasonal-to-seasonal predictions in the northern extratropics. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
语种	英语
scopus关键词	climate prediction; computer simulation; error analysis; extratropical environment; global climate; numerical model; polar vortex; regional climate; sudden stratospheric warming; troposphere; weather forecasting; winter
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145363
作者单位	School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea; Department of Meteorology, University of Reading, Reading, United Kingdom
推荐引用方式 GB/T 7714	Song K.,Son S.-W.,Charlton-Perez A.. Deterministic prediction of stratospheric sudden warming events in the Global/Regional Integrated Model system (GRIMs)[J],2020,55.
APA	Song K.,Son S.-W.,&Charlton-Perez A..(2020).Deterministic prediction of stratospheric sudden warming events in the Global/Regional Integrated Model system (GRIMs).Climate Dynamics,55.
MLA	Song K.,et al."Deterministic prediction of stratospheric sudden warming events in the Global/Regional Integrated Model system (GRIMs)".Climate Dynamics 55(2020).