A high spatial resolution retrieval of NO2 column densities from OMI: method and evaluation

被引:99
|
作者
Russell, A. R. [1 ]
Perring, A. E. [1 ]
Valin, L. C. [1 ]
Bucsela, E. J. [2 ]
Browne, E. C. [1 ]
Min, K-E [1 ]
Wooldridge, P. J. [1 ]
Cohen, R. C. [1 ,3 ]
机构
[1] Univ Calif Berkeley, Dept Chem, Berkeley, CA 94720 USA
[2] SRI Int, Menlo Pk, CA 94025 USA
[3] Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA USA
基金
美国国家航空航天局;
关键词
INDUCED FLUORESCENCE DETECTION; TROPOSPHERIC NO2; SATELLITE-OBSERVATIONS; ATMOSPHERIC NO2; EMISSIONS; GOME; SCIAMACHY; SPACE; LASER; NM;
D O I
10.5194/acp-11-8543-2011
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We present a new retrieval of tropospheric NO2 vertical column density from the Ozone Monitoring Instrument (OMI) based on high spatial and temporal resolution terrain and profile inputs. We compare our NO2 product, the Berkeley High-Resolution (BEHR) product, with operational retrievals and find that the operational retrievals are biased high (30 %) over remote areas and biased low (8 %) over urban regions. Additionally, we find non-negligible impacts on the retrieved NO2 column for terrain pressure (+/- 20 %), albedo (+/- 40 %), and NO2 vertical profile (-75 % - +10%). We validate the operational and BEHR products using boundary layer aircraft observations from the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS-CA) field campaign which occurred in June 2008 in California. Results indicate that columns derived using our boundary layer extrapolation method show good agreement with satellite observations (R-2 = 0.65-0.83; N = 68) and provide a more robust validation of satelliteobserved NO2 column than those determined using full vertical spirals (R-2 = 0.26; N = 5) as in previous work. Agreement between aircraft observations and the BEHR product (R-2 = 0.83) is better than agreement with the operational products (R-2 = 0.65-0.72). We also show that agreement between satellite and aircraft observations can be further improved (e. g. BEHR: R-2 = 0.91) using cloud information from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument instead of the OMI cloud product. These results indicate that much of the variance in the operational products can be attributed to coarse resolution terrain pressure, albedo, and profile parameters implemented in the retrievals.
引用
收藏
页码:8543 / 8554
页数:12
相关论文
共 50 条
  • [1] Evaluation of high resolution simulated and OMI retrieved tropospheric NO2 column densities over Southeastern Europe
    Zyrichidou, I.
    Koukouli, M. E.
    Balis, D. S.
    Kioutsioukis, I.
    Poupkou, A.
    Katragkou, E.
    Melas, D.
    Boersma, K. F.
    van Roozendael, M.
    ATMOSPHERIC RESEARCH, 2013, 122 : 55 - 66
  • [2] A high-resolution and observationally constrained OMI NO2 satellite retrieval
    Goldberg, Daniel L.
    Lamsal, Lok N.
    Loughner, Christopher P.
    Swartz, William H.
    Lu, Zifeng
    Streets, David G.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2017, 17 (18) : 11403 - 11421
  • [3] OMI NO2 column densities over North American urban cities: the effect of satellite footprint resolution
    Kim, Hyun Cheol
    Lee, Pius
    Judd, Laura
    Pan, Li
    Lefer, Barry
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2016, 9 (03) : 1111 - 1123
  • [4] S5P TROPOMI NO2 slant column retrieval: method, stability, uncertainties and comparisons with OMI
    van Geffen, Jos
    Boersma, K. Folkert
    Eskesl, Henk
    Sneep, Maarten
    ter Linden, Mark
    Zara, Marina
    Veefkind, J. Pepijn
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2020, 13 (03) : 1315 - 1335
  • [5] Retrieval of tropospheric column densities of NO2 from combined SCIAMACHY nadir/limb measurements
    Beirle, S.
    Kuehl, S.
    Pukite, J.
    Wagner, T.
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2010, 3 (01) : 283 - 299
  • [6] High spatial resolution NO2 tropospheric slant columns retrieved from OMI spatial-zoom spectra using an earthshine reference
    Anand, Jasdeep S.
    Leigh, Roland J.
    Monks, Paul S.
    SECOND INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2014), 2014, 9229
  • [7] Inter-comparison of NO2 column densities measured by Pandora and OMI over Seoul, Korea
    Yun, Seoyeon
    Lee, Hanlim
    Kim, Jhoon
    Jeong, Ukkyo
    Park, Sang Seo
    Herman, Jay
    KOREAN JOURNAL OF REMOTE SENSING, 2013, 29 (06) : 663 - 670
  • [8] Near-real time retrieval of tropospheric NO2 from OMI
    Boersma, K. F.
    Eskes, H. J.
    Veefkind, J. P.
    Brinksma, E. J.
    Van der A, R. J.
    Sneep, M.
    van den Oord, G. H. J.
    Levelt, P. F.
    Stammes, P.
    Gleason, J. F.
    Bucsela, E. J.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2007, 7 (08) : 2103 - 2118
  • [9] Evaluation of OMI operational standard NO2 column retrievals using in situ and surface-based NO2 observations
    Lamsal, L. N.
    Krotkov, N. A.
    Celarier, E. A.
    Swartz, W. H.
    Pickering, K. E.
    Bucsela, E. J.
    Gleason, J. F.
    Martin, R. V.
    Philip, S.
    Irie, H.
    Cede, A.
    Herman, J.
    Weinheimer, A.
    Szykman, J. J.
    Knepp, T. N.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2014, 14 (21) : 11587 - 11609
  • [10] A Conservative Downscaling of Satellite-Detected Chemical Compositions: NO2 Column Densities of OMI, GOME-2, and CMAQ
    Kim, Hyun Cheol
    Lee, Sang-Mi
    Chai, Tianfeng
    Ngan, Fong
    Pan, Li
    Lee, Pius
    REMOTE SENSING, 2018, 10 (07):