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DOI10.1029/2018JD028465
Characterizing Global Ozonesonde Profile Variability From Surface to the UT/LS With a Clustering Technique and MERRA-2 Reanalysis
Stauffer, Ryan M.1,2; Thompson, Anne M.2; Witte, Jacquelyn C.2,3
2018-06-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:11页码:6213-6229
文章类型Article
语种英语
国家USA
英文摘要

Our previous studies employing the self-organizing map (SOM) clustering technique to ozonesonde data have found significant links among meteorological and chemical regimes, and the shape of the ozone (O-3) profile from the troposphere to the lower stratosphere. Those studies, which focused on specific northern hemisphere midlatitude geographical regions, demonstrated the advantages of SOM clustering by quantifying O-3 profile variability and the O-3/meteorological correspondence. We expand SOM to a global set of ozonesonde profiles spanning 1980 to present from 30 sites to summarize the connections among O-3 profiles, meteorology, and chemistry, using the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) reanalysis and other ancillary data. Four clusters of O-3 mixing ratio profiles from the surface to the upper troposphere/lower stratosphere (UT/LS) are generated for each site, which show dominant profile shapes and typical seasonality (or lack thereof) that generally correspond to latitude (i.e., tropical, subtropical, midlatitude, and polar). Examination of MERRA-2 output reveals a clear relationship among SOM clusters and covarying meteorological fields (geopotential height, potential vorticity, and tropopause height) for polar and midlatitude sites. However, these relationships break down within +/- 30 degrees latitude. Carbon monoxide satellite data, along with velocity potential, a proxy for convection, calculated from MERRA-2 wind fields assist characterization of the tropical and subtropical sites, where biomass burning and convective transport linked to the Madden-Julian oscillation (MJO) dominate O-3 variability. In addition to geophysical characterization of O-3 profile variability, these results can be used to evaluate chemical transport model output and satellite measurements of O-3 profiles.


英文关键词UT LS ozone tropical ozone ozonesondes self-organizing maps MERRA-2 Madden-Julian oscillations
领域气候变化
收录类别SCI-E
WOS记录号WOS:000436110800027
WOS关键词TROPICAL TROPOSPHERIC OZONE ; CHEMISTRY-CLIMATE MODEL ; SOUTHERN-HEMISPHERE ; SATELLITE ; MLS
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/32589
专题气候变化
作者单位1.Univ Space Res Assoc, Columbia, MD 21046 USA;
2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
3.Sci Syst & Applicat Inc, Lanham, MD USA
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Stauffer, Ryan M.,Thompson, Anne M.,Witte, Jacquelyn C.. Characterizing Global Ozonesonde Profile Variability From Surface to the UT/LS With a Clustering Technique and MERRA-2 Reanalysis[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(11):6213-6229.
APA Stauffer, Ryan M.,Thompson, Anne M.,&Witte, Jacquelyn C..(2018).Characterizing Global Ozonesonde Profile Variability From Surface to the UT/LS With a Clustering Technique and MERRA-2 Reanalysis.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(11),6213-6229.
MLA Stauffer, Ryan M.,et al."Characterizing Global Ozonesonde Profile Variability From Surface to the UT/LS With a Clustering Technique and MERRA-2 Reanalysis".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.11(2018):6213-6229.
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