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DOI10.5194/amt-9-2647-2016
Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013
Nowlan, Caroline R.1; Liu, Xiong1; Leitch, JamesW.2; Chance, Kelly1; Abad, Gonzalo Gonzalez1; Liu, Cheng1,11; Zoogman, Peter1; Cole, Joshua2; Delker, Thomas2; Good, William2; Murcray, Frank2; Ruppert, Lyle2; Soo, Daniel2; Follette-Cook, Melanie B.3,4; Janz, Scott J.4; Kowalewski, Matthew G.4; Loughner, Christopher P.4,5; Pickering, Kenneth E.4; Herman, Jay R.6; Beaver, Melinda R.7; Long, Russell W.7; Szykman, James J.7; Judd, Laura M.8; Kelley, Paul5,9; Luke, Winston T.9; Ren, Xinrong5,9; Al-Saadi, Jassim A.10
发表日期2016
ISSN1867-1381
卷号9期号:6页码:2647-2668
英文摘要

The Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument is a test bed for upcoming air quality satellite instruments that will measure backscattered ultraviolet, visible and near-infrared light from geostationary orbit. GeoTASO flew on the NASA Falcon aircraft in its first intensive field measurement campaign during the Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) Earth Venture Mission over Houston, Texas, in September 2013. Measurements of backscattered solar radiation between 420 and 465 nm collected on 4 days during the campaign are used to determine slant column amounts of NO2 at 250 m x 250 m spatial resolution with a fitting precision of 2.2 x 10(15) molecules cm(-2). These slant columns are converted to tropospheric NO2 vertical columns using a radiative transfer model and trace gas profiles from the Community Multiscale Air Quality (CMAQ) model. Total column NO2 from GeoTASO is well correlated with ground-based Pandora observations (r = 0 : 90 on the most polluted and cloud-free day of measurements and r = 0.74 overall), with GeoTASO NO2 slightly higher for the most polluted observations. Surface NO2 mixing ratios inferred from GeoTASO using the CMAQ model show good correlation with NO2 measured in situ at the surface during the campaign (r = 0 : 85). NO2 slant columns from GeoTASO also agree well with preliminary retrievals from the GEO-CAPE Airborne Simulator (GCAS) which flew on the NASA King Air B200 (r = 0.81, slope = 0.91). Enhanced NO2 is resolvable over areas of traffic NOx emissions and near individual petrochemical facilities.


语种英语
WOS记录号WOS:000379397100013
来源期刊ATMOSPHERIC MEASUREMENT TECHNIQUES
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/61899
作者单位1.Harvard Smithsonian Ctr Astrophys, 60 Garden St, Cambridge, MA 02138 USA;
2.Ball Aerosp & Technol Corp, Boulder, CO 80301 USA;
3.Morgan State Univ, GESTAR, Baltimore, MD 21251 USA;
4.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
5.Univ Maryland, College Pk, MD 20742 USA;
6.Univ Maryland Baltimore Cty, Baltimore, MD 21201 USA;
7.US EPA, Res Triangle Pk, NC 27711 USA;
8.Univ Houston, Houston, TX 77004 USA;
9.NOAA, Air Resources Lab, College Pk, MD 20740 USA;
10.NASA, Langley Res Ctr, Hampton, VA 23681 USA;
11.Univ Sci & Technol, Hefei, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Nowlan, Caroline R.,Liu, Xiong,Leitch, JamesW.,et al. Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013[J]. 美国环保署,2016,9(6):2647-2668.
APA Nowlan, Caroline R..,Liu, Xiong.,Leitch, JamesW..,Chance, Kelly.,Abad, Gonzalo Gonzalez.,...&Al-Saadi, Jassim A..(2016).Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013.ATMOSPHERIC MEASUREMENT TECHNIQUES,9(6),2647-2668.
MLA Nowlan, Caroline R.,et al."Nitrogen dioxide observations from the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) airborne instrument: Retrieval algorithm and measurements during DISCOVER-AQ Texas 2013".ATMOSPHERIC MEASUREMENT TECHNIQUES 9.6(2016):2647-2668.
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