Estimates of lightning NOx production based on high-resolution OMI NO2 retrievals over the continental US

被引:12
作者
Zhang, Xin [1 ,2 ]
Yin, Yan [1 ,2 ]
van der A, Ronald [2 ,3 ]
Lapierre, Jeff L. [4 ]
Chen, Qian [1 ,2 ]
Kuang, Xiang [1 ,2 ]
Yan, Shuqi [2 ]
Chen, Jinghua [1 ,2 ]
He, Chuan [1 ,2 ]
Shi, Rulin [1 ,2 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Nanjing 210044, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Dept Atmospher Phys, Nanjing 210044, Peoples R China
[3] Royal Netherlands Meteorol Inst KNMI, Dept Satellite Observat, De Bilt, Netherlands
[4] Earth Networks, Germantown, MD USA
基金
中国国家自然科学基金;
关键词
CONVECTIVE-TRANSPORT; UPPER TROPOSPHERE; UNITED-STATES; SATELLITE-OBSERVATIONS; ATMOSPHERIC CHEMISTRY; NITROGEN-DIOXIDE; OZONE PRODUCTION; CLIMATE-CHANGE; GENERATED NOX; MODEL;
D O I
10.5194/amt-13-1709-2020
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Lightning serves as the dominant source of nitrogen oxides (NOx=NO + NO2) in the upper troposphere (UT), with a strong impact on ozone chemistry and the hydroxyl radical production. However, the production efficiency (PE) of lightning nitrogen oxides (LNOx) is still quite uncertain (32-1100 mol NO per flash). Satellite measurements are a powerful tool to estimate LNOx directly compared to conventional platforms. To apply satellite data in both clean and polluted regions, a new algorithm for calculating LNOx has been developed that uses the Berkeley High-Resolution (BEHR) v3.0B NO2 retrieval algorithm and the Weather Research and Forecasting model coupled with chemistry (WRF-Chem). LNOx PE over the continental US is estimated using the NO2 product of the Ozone Monitoring Instrument (OMI) data and the Earth Networks Total Lightning Network (ENTLN) data. Focusing on the summer season during 2014, we find that the lightning NO2 (LNO2) PE is 32 +/- 15 mol NO2 per flash and 6 +/- 3 mol NO2 per stroke while LNOx PE is 90 +/- 50 mol NOx per flash and 17 +/- 10 mol NOx per stroke. Results reveal that our method reduces the sensitivity to the background NO2 and includes much of the below-cloud LNO2. As the LNOx parameterization varies in studies, the sensitivity of our calculations to the setting of the amount of lightning NO (LNO) is evaluated. Careful consideration of the ratio of LNO2 to NO2 is also needed, given its large influence on the estimation of LNO2 PE.
引用
收藏
页码:1709 / 1734
页数:26
相关论文
共 12 条
  • [1] Estimates of lightning NOx production based on OMI NO2 observations over the Gulf of Mexico
    Pickering, Kenneth E.
    Bucsela, Eric
    Allen, Dale
    Ring, Allison
    Holzworth, Robert
    Krotkov, Nickolay
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (14) : 8668 - 8691
  • [2] Lightning NOx Production in the Tropics as Determined Using OMI NO2 Retrievals and WWLLN Stroke Data
    Allen, Dale J.
    Pickering, Kenneth E.
    Bucsela, Eric
    Krotkov, Nickolay
    Holzworth, Robert
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (23) : 13498 - 13518
  • [3] Lightning NO2 simulation over the contiguous US and its effects on satellite NO2 retrievals
    Zhu, Qindan
    Laughner, Joshua L.
    Cohen, Ronald C.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (20) : 13067 - 13078
  • [4] Estimates of power plant NOx emissions and lifetimes from OMI NO2 satellite retrievals
    de Foy, Benjamin
    Lu, Zifeng
    Streets, David G.
    Lamsal, Lok N.
    Duncan, Bryan N.
    ATMOSPHERIC ENVIRONMENT, 2015, 116 : 1 - 11
  • [5] 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
  • [6] 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
  • [7] Spatiotemporal mapping and assessment of daily ground NO2 concentrations in China using high-resolution TROPOMI retrievals
    Wu, Sensen
    Huang, Bo
    Wang, Jionghua
    He, Lijie
    Wang, Zhongyi
    Yan, Zhen
    Lao, Xiangqian
    Zhang, Feng
    Liu, Renyi
    Du, Zhenhong
    ENVIRONMENTAL POLLUTION, 2021, 273
  • [8] High-resolution mapping of the NO2 spatial distribution over Belgian urban areas based on airborne APEX remote sensing
    Tack, Frederik
    Merlaud, Alexis
    Iordache, Marian-Daniel
    Danckaert, Thomas
    Yu, Huan
    Fayt, Caroline
    Meuleman, Koen
    Deutsch, Felix
    Fierens, Frans
    Van Roozendael, Michel
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2017, 10 (05) : 1665 - 1688
  • [9] NOX and PM10 Bayesian concentration estimates using high-resolution numerical simulations and ground measurements over Paris, France
    Rodriguez, Delphy
    Parent, Eric
    Eymard, Laurence
    Valari, Myrto
    Payan, Sebastien
    ATMOSPHERIC ENVIRONMENT-X, 2019, 3
  • [10] Comparing a global high-resolution downscaled fossil fuel CO2 emission dataset to local inventory-based estimates over 14 global cities
    Chen, Jingwen
    Zhao, Fang
    Zeng, Ning
    Oda, Tomohiro
    CARBON BALANCE AND MANAGEMENT, 2020, 15 (01)