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DOI10.5194/acp-23-1259-2023
Monitoring sudden stratospheric warmings under climate change since 1980 based on reanalysis data verified by radio occultation
Li, Ying; Kirchengast, Gottfried; Schwaerz, Marc; Yuan, Yunbin
发表日期2023
ISSN1680-7316
EISSN1680-7324
起始页码1259
结束页码1284
卷号23期号:2页码:26
英文摘要We developed a new approach to monitor sudden stratospheric warming (SSW) events under climate change since 1980 based on reanalysis data verified by radio occultation data. We constructed gridded daily mean temperature anomalies from the input fields at different vertical resolutions (basic-case full resolution, crosscheck with reanalysis at 10 stratospheric standard pressure levels or 10 and 50 hPa levels only) and employed the concept of threshold exceedance areas (TEAs), the geographic areas wherein the anomalies exceed predefined thresholds (such as 30 K), to monitor the phenomena. We derived main-phase TEAs, representing combined middle-and lower-stratospheric warming, to monitor SSWs on a daily basis. Based on the main-phase TEAs, three key metrics, including main-phase duration, area, and strength, are estimated and used for the detection and classification of SSW events. An SSW is defined to be detected if the main-phase warming lasts at least 6 d. According to the strength, SSW events are classified into minor, major, and extreme. An informative 42 winters' SSW climatology (1980-2021) was developed, including the three key metrics as well as onset date, maximum warming-anomaly location, and other valuable SSW characterization information. The results and validation against previous studies underpin that the new method is robust for SSW detection and monitoring and that it can be applied to any quality-assured reanalysis, observational and model temperature data that cover the polar region and winter timeframes of interest, either using high-vertical-resolution input data (preferable basic case), coarser standard-pressure-levels resolution, or (at least) 10 and 50 hPa pressure level data. Within the 42 winters, 43 SSW events were detected for the basic case, yielding a frequency of about 1 event per year. In the 1990s, where recent studies showed gaps, we detected several events. Over 95 % of event onset dates occurred in deep winter (December-January-February timeframe, about 50 % in January), and more than three-quarters have their onset location over northern Eurasia and the adjacent polar ocean. Regarding long-term change, we found a statistically significant increase in the duration of SSW main-phase warmings of about 5( +/- 2) d over the climate change period from the 1980s to the 2010s, raising the average duration by nearly 50 % from about 10 d to 15 d and inducing an SSW strength increase of about 40(+/- 25) million km(2) days from about 100 to 140 million km(2) days. The results are robust (consistent within uncertainties) across the use of different input data resolutions. They can hence be used as a reference for further climate-change-related studies and as a valuable basis for studying SSW impacts and links to other weather and climate phenomena, such as changes in polar-vortex dynamics and in mid-latitude extreme weather.
学科领域Environmental Sciences; Meteorology & Atmospheric Sciences
语种英语
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000921892800001
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/273093
作者单位Chinese Academy of Sciences; University of Graz; University of Graz
推荐引用方式
GB/T 7714
Li, Ying,Kirchengast, Gottfried,Schwaerz, Marc,et al. Monitoring sudden stratospheric warmings under climate change since 1980 based on reanalysis data verified by radio occultation[J],2023,23(2):26.
APA Li, Ying,Kirchengast, Gottfried,Schwaerz, Marc,&Yuan, Yunbin.(2023).Monitoring sudden stratospheric warmings under climate change since 1980 based on reanalysis data verified by radio occultation.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(2),26.
MLA Li, Ying,et al."Monitoring sudden stratospheric warmings under climate change since 1980 based on reanalysis data verified by radio occultation".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.2(2023):26.
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