GSTDTAP  > 地球科学
DOI10.1016/j.atmosres.2020.104872
Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transport
Robinson, J.1,2; Kotsakis, A.2,3; Santos, F.4,5; Swap, R.2,6; Knowland, K. E.3,7; Labow, G.2,8; Connors, V9; Tzortziou, M.2,10; Abuhassan, N.1,2; Tiefengraber, M.11; Cede, A.3,11
2020-07-01
发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
EISSN1873-2895
出版年2020
卷号238
文章类型Article
语种英语
国家USA; Brazil; South Africa; Austria
英文摘要

Accurately capturing the evolution of episodic stratosphere-to-troposphere transport is critical due to the potential impacts on both climate and air quality. Until now, investigating associated spatiotemporal gradients in total column ozone (TCO) has primarily been the task of observations from polar-orbiting satellites as well as high-resolution models. We explore how a network of five ground-based Pandora spectrometer systems can be utilized in a similar fashion. The passage of a strong mid-latitude cyclone in March 2018 and its associated stratospheric intrusion is used as a case demonstrating the ability of networked Pandora observations to contextualize these regions of transport across space and time. Results show that the high temporal resolution of Pandora observations and the networked approach were able to resolve increases in TCO associated with stratosphere-to-troposphere transport and to capture the spatial context of the chosen episode. The use of networked Pandora observations shows promise for additional transport studies and for supporting future geostationary atmospheric composition satellite missions and modeling efforts.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000525323500006
WOS关键词TROPOPAUSE FOLDS ; EXCHANGE ; CLIMATOLOGY ; INTRUSIONS ; VALIDATION ; MISSION ; WESTERN ; EVENTS ; SYSTEM ; BUDGET
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/289267
专题地球科学
作者单位1.Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol, Baltimore, MD 21228 USA;
2.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA;
3.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD USA;
4.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA;
5.Coordinat Improvement Higher Educ Personnel, Brasilia, DF, Brazil;
6.North West Univ Potchefstroom, Potchefstroom, NW, South Africa;
7.NASA, Global Modeling & Assimilat Off, Goddard Space Flight Ctr, Greenbelt, MD USA;
8.Sci Syst & Applicat Inc, Lanham, MD USA;
9.Virginia Commonwealth Univ, Richmond, VA USA;
10.CUNY, New York, NY 10021 USA;
11.LuftBlick Earth Observat Technol, Kreith, Mutters, Austria
推荐引用方式
GB/T 7714
Robinson, J.,Kotsakis, A.,Santos, F.,et al. Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transport[J]. ATMOSPHERIC RESEARCH,2020,238.
APA Robinson, J..,Kotsakis, A..,Santos, F..,Swap, R..,Knowland, K. E..,...&Cede, A..(2020).Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transport.ATMOSPHERIC RESEARCH,238.
MLA Robinson, J.,et al."Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transport".ATMOSPHERIC RESEARCH 238(2020).
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