Relationship between column-density and surface mixing ratio: Statistical analysis of O3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission

被引：41

作者：

Flynn, Clare M. ^{[1
]}

Pickering, Kenneth E. ^{[1
,2
]}

Crawford, James H. ^{[3
]}

Lamsal, Lok ^{[4
]}

Krotkov, Nickolay ^{[2
]}

Herman, Jay ^{[5
]}

Weinheimer, Andrew ^{[6
]}

Chen, Gao ^{[3
]}

Liu, Xiong ^{[7
]}

Szykman, James ^{[8
]}

Tsay, Si-Chee ^{[2
]}

Loughner, Christopher ^{[9
]}

Hains, Jennifer ^{[10
]}

Lee, Pius ^{[11
]}

Dickerson, Russell R. ^{[1
]}

Stehr, Jeffrey W. ^{[1
]}

Brent, Lacey ^{[1
]}

机构：

[1] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA

[2] NASA Goddard Space Flight Ctr, Greenbelt, MD USA

[3] NASA Langley Res Ctr, Hampton, VA USA

[4] NASA Goddard Space Flight Ctr, GESTAR, Greenbelt, MD USA

[5] NASA Goddard Space Flight Ctr, UMBC, Greenbelt, MD USA

[6] NCAR Atmospher Chem Div, Boulder, CO USA

[7] Harvard Smithsonian Ctr Astrophys, Cambridge, MA USA

[8] EPA, Off Res & Dev, Washington, DC USA

[9] NASA Goddard Space Flight Ctr, ESSIC, Greenbelt, MD USA

[10] Maryland Dept Environm, Baltimore, MD 21224 USA

[11] NOAA Air Resources Lab, Silver Spring, MD USA

来源：

ATMOSPHERIC ENVIRONMENT | 2014年 / 92卷

关键词：

Ozone; Nitrogen oxides; DISCOVER-AQ; Column-surface relationship; Aircraft measurement campaign; Measurement-model comparison; TROPOSPHERIC OZONE; PART I; MODEL; SATELLITE; POLLUTION; STATES; OMI;

D O I：

10.1016/j.atmosenv.2014.04.041

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

To investigate the ability of column (or partial column) information to represent surface air quality, results of linear regression analyses between surface mixing ratio data and column abundances for O-3 and NO2 are presented for the July 2011 Maryland deployment of the DISCOVER-AQ mission. Data collected by the P-3B aircraft, ground-based Pandora spectrometers, Aura/OMI satellite instrument, and simulations for July 2011 from the CMAQ air quality model during this deployment provide a large and varied data set, allowing this problem to be approached from multiple perspectives. O-3 columns typically exhibited a statistically significant and high degree of correlation with surface data (R-2 > 0.64) in the P-3B data set, a moderate degree of correlation (0.16 < R-2 < 0.64) in the CMAQ data set, and a low degree of correlation (R-2 < 0.16) in the Pandora and OMI data sets. NO2 columns typically exhibited a low to moderate degree of correlation with surface data in each data set. The results of linear regression analyses for O-3 exhibited smaller errors relative to the observations than NO2 regressions. These results suggest that O-3 partial column observations from future satellite instruments with sufficient sensitivity to the lower troposphere can be meaningful for surface air quality analysis. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：429 / 441

页数：13

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