气候变化领域集成服务门户(CCPortal): Using networked Pandora observations to capture spatiotemporal changes in total column ozone associated with stratosphere-to-troposphere transport

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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.; Kotsakis A.; Santos F.; Swap R.; Knowland K.E.; Labow G.; Connors V.; Tzortziou M.; Abuhassan N.; Tiefengraber M.; Cede A.
发表日期	2020
ISSN	0169-8095
卷号	238
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. © 2020 Elsevier B.V.
学科领域	Air quality; Atmospheric composition; Geostationary satellites; Orbits; Ozone; Storms; High temporal resolution; High-resolution models; Polar-orbiting satellites; Satellite mission; Spatio-temporal changes; Spatio-temporal gradients; Stratosphere-to-troposphere transports; Total column ozone; Troposphere; atmospheric chemistry; atmospheric transport; chemical composition; column; ozone; satellite data; satellite imagery; spatiotemporal analysis; stratosphere-troposphere interaction
语种	英语
scopus关键词	Air quality; Atmospheric composition; Geostationary satellites; Orbits; Ozone; Storms; High temporal resolution; High-resolution models; Polar-orbiting satellites; Satellite mission; Spatio-temporal changes; Spatio-temporal gradients; Stratosphere-to-troposphere transports; Total column ozone; Troposphere; atmospheric chemistry; atmospheric transport; chemical composition; column; ozone; satellite data; satellite imagery; spatiotemporal analysis; stratosphere-troposphere interaction
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120426
作者单位	Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association/Goddard Earth Science Technology & Research, Columbia, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Coordination for the Improvement of Higher Education Personnel, Brasilia, DF, Brazil; North-West University Potchefstroom, Potchefstroom, NW, South Africa; Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States; Virginia Commonwealth University, Richmond, VA, United States; City University of New York, New York, NY, United States; LuftBlick Earth Observation Technologies, 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],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).