Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/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
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
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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