سابِق|تال

High-resolution Tropospheric NO2 Retrieval over Asia based on OMI POMINO v2.1 and quantitative comparison with other products

  • role： First author第一作者
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

  • Email：yuhang_zhang@pku.edu.cn
  • Introduction：张宇航，研究方向为卫星遥感与痕量气体反演。E-mail： yuhang_zhang@pku.edu.cn
Zhang Yuhang1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

  • Email：linjt@pku.edu.cn
  • Introduction：林金泰，研究方向为大气化学、卫星遥感和全球化大气污染。E-mail： linjt@pku.edu.cn
Lin Jintai1*,  
  • Affiliation：

    Royal Netherlands Meteorological Institute, De Bilt, the Netherlands 3731GA

Liu Mengyao2,  
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

Kong Hao1,  
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

Chen Lulu1,  
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

Weng Hongjian1,  
  • Affiliation：

    Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China

Li Chunjin1

ملخص

Nitrogen dioxide (NO2) is both an important primary trace gaseous pollutant and a precursor to ozone and fine particulate matter production. There exist three widely used and publically available tropospheric NO2 Vertical Column Density (VCD) products based on OMI over East Asia, including QA4ECV from KNMI, OMNO2 from NASA and POMINO from Peking University. The spatiotemporal characteristics of tropospheric NO2 VCDs in each product have been extensively studied. However, quantitative knowledge of the differences between the three products is still inadequate.This research firstly updates the POMINO product developed by our group to version 2.1, including bug fixes and algorithm improvement, and expanding the spatial domain to East Asia, much of Southeast Asia and most of South Asia. Compared with QA4ECV and OMNO2 v4, POMINO v2.1 takes into account the anisotropy of surface reflectance and complex radiative effects of aerosols in the process of tropospheric NO2 AMF calculation. Then we quantitatively compare the NO2 data of QA4ECV, OMNO2 v4 and POMINO v2.1 in 2015—2020 based on either POMINO v2.1 or each product’s valid pixels.Results show that updates of POMINO do not significantly affect the retrieved NO2 VCDs (within 10% averaged over the spatial domain, dependent on seasons). When valid satellite pixels of three products are sampled consistently based on cloud radiation fraction of POMINO v2.1, the relative differences between the three products are about 10% averaged over Asia, although the maximum difference can reach 40% or more in severely polluted areas like Beijing-Tianjin-Hebei. A sensitivity test based on POMINO algorithm shows that tropospheric NO2 VCDs with implicit aerosol correction (as QA4ECV and OMNO2 v4) in December 2017 are lower than those with explicit correction by about 26.4% over Beijing-Tianjin-Hebei, and more than 11% over the whole North China Plain. As far as the long-term trend is concerned, all the three products show a nearly 30% decrease of annual mean tropospheric NO2 VCDs in Beijing-Tianjin-Hebei in 2015—2020, in contrast to relatively small VCD changes over the Yangtze River Delta. When valid satellite pixels are sampled based on each product’s own cloud screening, POMINO v2.1 provides much more valid pixels in polluted situations by 11%—44% and reduces the sampling bias, as a result of its explicit representation of aerosol optical effects in the NO2 and prerequisite cloud retrieval process.This research provides a basis for using and interpreting the three products, including their differences, effects of sampling and impacts of aerosol representation. Our results offer insight for better understanding of the pollution of nitrogen oxides and influences of current emission reductions.

مفهوم

satellite remote sensing;nitrogen oxides;OMI;tropospheric NO2 VCDs;aerosol;data sampling;air pollution

References

  1. 1.
    Beirle S, Boersma K F, Platt U, Lawrence M G and Wagner T. 2011. Megacity emissions and lifetimes of nitrogen oxides probed from space. Science, 333(6050): 1737-1739
  2. 2.
    Boersma K F, Eskes H J and Brinksma E J. 2004. Error analysis for tropospheric NO2 retrieval from space. Journal of Geophysical Research: Atmospheres, 109(D4): D04311
  3. 3.
    Boersma K F, Eskes H J, Dirksen R J, van der A R J, Veefkind J P, Stammes P, Huijnen V, Kleipool Q L, Sneep M, Claas J, Leitão J, Richter A, Zhou Y and Brunner D. 2011. An improved tropospheric NO2 column retrieval algorithm for the Ozone Monitoring Instrument. Atmospheric Measurement Techniques, 4(9): 1905-1928
  4. 4.
    Boersma K F, Eskes H J, Richter A, De Smedt I, Lorente A, Beirle S, van Geffen J H G M, Zara M, Peters E, Van Roozendael M, Wagner T, Maasakkers J D, van der A R J, Nightingale J, De Rudder A, Irie H, Pinardi G, Lambert J C and Compernolle S C. 2018. Improving algorithms and uncertainty estimates for satellite NO2 retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project. Atmospheric Measurement Techniques, 11(12): 6651-6678
  5. 5.
    Bucsela E J, Krotkov N A, Celarier E A, Lamsal L N, Swartz W H, Bhartia P K, Boersma K F, Veefkind J P, Gleason J F and Pickering K E. 2013. A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI. Atmospheric Measurement Techniques, 6(10): 2607-2626
  6. 6.
    Dirksen R J, Boersma K F, Eskes H J, Ionov D V, Bucsela E J, Levelt P F and Kelder H M. 2011. Evaluation of stratospheric NO2 retrieved from the Ozone Monitoring Instrument: intercomparison, diurnal cycle, and trending. Journal of Geophysical Research: Atmospheres, 116(D8): D08305
  7. 7.
    Geddes J A, Martin R V, Bucsela E J, McLinden C A and Cunningham D J M. 2018. Stratosphere–troposphere separation of nitrogen dioxide columns from the TEMPO geostationary satellite instrument. Atmospheric Measurement Techniques, 11(11): 6271-6287
  8. 8.
    Gu D S, Wang Y H, Smeltzer C and Boersma K F. 2014. Anthropogenic emissions of NOx over China: reconciling the difference of inverse modeling results using GOME-2 and OMI measurements. Journal of Geophysical Research: Atmospheres, 119(12): 7732-7740
  9. 9.
    Gu D S, Wang Y H, Smeltzer C and Liu Z. 2013. Reduction in NOx emission trends over China: regional and seasonal variations. Environmental Science and Technology, 47(22): 12912-12919
  10. 10.
    He Q, Qin K, Cohen J B, Loyola D, Li D, Shi J C and Xue Y. 2020. Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements. Environmental Research Letters, 15(12): 125011
  11. 11.
    Hoek G, Krishnan R M, Beelen R, Peters A, Ostro B, Brunekreef B and Kaufman J D. 2013. Long-term air pollution exposure and cardio- respiratory mortality: a review. Environmental Health, 12(1): 43
  12. 12.
    Kleipool Q L, Dobber M R, de Haan J F and Levelt P F. 2008. Earth surface reflectance climatology from 3 years of OMI data. Journal of Geophysical Research: Atmospheres, 113(D18): D18308
  13. 13.
    Kong H, Lin J T, Zhang R X, Liu M Y, Weng H J, Ni R J, Chen L L, Wang J X, Yan Y Y and Zhang Q. 2019. High-resolution (0.05°×0.05°) NOx emissions in the Yangtze River Delta inferred from OMI. Atmospheric Chemistry and Physics, 19(20): 12835-12856
  14. 14.
    Krotkov N A, McLinden C A, Li C, Lamsal L N, Celarier E A, Marchenko S V, Swartz W H, Bucsela E J, Joiner J, Duncan B N, Boersma K F, Veefkind J P, Levelt P F, Fioletov V E, Dickerson R R, He H, Lu Z F and Streets D G. 2016. Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015. Atmospheric Chemistry and Physics, 16(7): 4605-4629
  15. 15.
    Lamsal L N, Krotkov N A, Vasilkov A, Marchenko S, Qin W H, Yang E S, Fasnacht Z, Joiner J, Choi S, Haffner D, Swartz W H, Fisher B and Bucsela E. 2021. Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments. Atmospheric Measurement Techniques, 14(1): 455-479
  16. 16.
    Lin J T. 2012. Satellite constraint for emissions of nitrogen oxides from anthropogenic, lightning and soil sources over East China on a high-resolution grid. Atmospheric Chemistry and Physics, 12(6): 2881-2898
  17. 17.
    Lin J T, Liu M Y, Xin J Y, Boersma K F, Spurr R, Martin R and Zhang Q. 2015. Influence of aerosols and surface reflectance on satellite NO2 retrieval: seasonal and spatial characteristics and implications for NOx emission constraints. Atmospheric Chemistry and Physics, 15(19): 11217-11241
  18. 18.
    Lin J T, Martin R V, Boersma K F, Sneep M, Stammes P, Spurr R, Wang P, Van Roozendael M, Clémer K and Irie H. 2014. Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide. Atmospheric Chemistry and Physics, 14(3): 1441-1461
  19. 19.
    Lin J T and McElroy M B. 2011. Detection from space of a reduction in anthropogenic emissions of nitrogen oxides during the Chinese economic downturn. Atmospheric Chemistry and Physics, 11(15): 8171-8188
  20. 20.
    Liu M Y, Lin J T, Boersma K F, Pinardi G, Wang Y, Chimot J, Wagner T, Xie P H, Eskes H, Van Roozendael M, Hendrick F, Wang P C, Wang T, Yan Y Y, Chen L L and Ni R J. 2019. Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile. Atmospheric Measurement Techniques, 12(1): 1-21
  21. 21.
    Liu M Y, Lin J T, Kong H, Boersma K F, Eskes H, Kanaya Y, He Q, Tian X, Qin K, Xie P H, Spurr R, Ni R J, Yan Y Y, Weng H J and Wang J X. 2020. A new TROPOMI product for tropospheric NO2 columns over East Asia with explicit aerosol corrections. Atmospheric Measurement Techniques, 13(8): 4247-4259
  22. 22.
    Lorente A, Boersma K F, Stammes P, Tilstra L G, Richter A, Yu H, Kharbouche S and Muller J P. 2018. The importance of surface reflectance anisotropy for cloud and NO2 retrievals from GOME-2 and OMI. Atmospheric Measurement Techniques, 11(7): 4509-4529
  23. 23.
    Lorente A, Boersma K F, Yu H, Dörner S, Hilboll A, Richter A, Liu M Y, Lamsal L N, Barkley M, De Smedt I, Van Roozendael M, Wang Y, Wagner T, Beirle S, Lin J T, Krotkov N, Stammes P, Wang P, Eskes H J and Krol M. 2017. Structural uncertainty in air mass factor calculation for NO2 and HCHO satellite retrievals. Atmospheric Measurement Techniques, 10(3): 759-782
  24. 24.
    Lucht W, Schaaf C B and Strahler A H. 2000. An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing, 38(2): 977-998
  25. 25.
    Martin R V. 2008. Satellite remote sensing of surface air quality. Atmospheric Environment, 42(34): 7823-7843
  26. 26.
    Palmer P I, Jacob D J, Chance K, Martin R V, Spurr R J D, Kurosu T P, Bey I, Yantosca R, Fiore A and Li Q B. 2001. Air mass factor formulation for spectroscopic measurements from satellites: application to formaldehyde retrievals from the global ozone monitoring experiment. Journal of Geophysical Research: Atmospheres, 106(D13): 14539-14550
  27. 27.
    Qin K, Han X, Li D H, Xu J, Loyola D, Xue Y, Zhou X R, Li D, Zhang K F and Yuan L M. 2020. Satellite-based estimation of surface NO2 concentrations over east-central China: a comparison of POMINO and OMNO2d data. Atmospheric Environment, 224: 117322
  28. 28.
    Schaepman-Strub G, Schaepman M E, Painter T H, Dangel S and Martonchik J V. 2006. Reflectance quantities in optical remote sensing—definitions and case studies. Remote Sensing of Environment, 103(1): 27-42
  29. 29.
    Seinfeld J H and Pandis S N. 2016. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. Hoboken: John Wiley & Sons: 235-331
  30. 30.
    Shah V, Jacob D J, Li K, Silvern R F, Zhai S X, Liu M Y, Lin J T and Zhang Q. 2020. Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China. Atmospheric Chemistry and Physics, 20(3): 1483-1495
  31. 31.
    Shindell D T, Faluvegi G, Koch D M, Schmidt G A, Unger N and Bauer S E. 2009. Improved attribution of climate forcing to emissions. Science, 326(5953): 716-718
  32. 32.
    van der A R J, Mijling B, Ding J Y, Koukouli M E, Liu F, Li Q, Mao H Q and Theys N. 2017. Cleaning up the air: effectiveness of air quality policy for SO2 and NOx emissions in China. Atmospheric Chemistry and Physics, 17(3): 1775-1789
  33. 33.
    Van Geffen J H G M, Boersma K F, Van Roozendael M, Hendrick F, Mahieu E, De Smedt I, Sneep M and Veefkind J P. 2015. Improved spectral fitting of nitrogen dioxide from OMI in the 405-465 nm window. Atmospheric Measurement Techniques, 8(4): 1685-1699
  34. 34.
    Vasilkov A, Krotkov N, Yang E S, Lamsal L, Joiner J, Castellanos P, Fasnacht Z and Spurr R. 2021. Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis. Atmospheric Measurement Techniques, 14(4): 2857-2871
  35. 35.
    Vasilkov A P, Qin W H, Krotkov N, Lamsal L, Spurr R, Haffner D, Joiner J, Yang E S and Marchenko S. 2017. Accounting for the effects of surface BRDF on satellite cloud and trace-gas retrievals: a new approach based on geometry-dependent Lambertian equivalent reflectivity applied to OMI algorithms. Atmospheric Measurement Techniques, 10(1): 333-349
  36. 36.
    Vasilkov A, Yang E S, Marchenko S, Qin W H, Lamsal L, Joiner J, Krotkov N, Haffner D, Bhartia P K and Spurr R. 2018. A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity. Atmospheric Measurement Techniques, 11(7): 4093-4107
  37. 37.
    Veefkind J P, de Haan J F, Sneep M and Levelt P F. 2016. Improvements to the OMI O2-O2 operational cloud algorithm and comparisons with ground-based radar-lidar observations. Atmospheric Measurement Techniques, 9(12): 6035-6049
  38. 38.
    Walker T W, Martin R V, van Donkelaar A, Leaitch W R, MacDonald A M, Anlauf K G, Cohen R C, Bertram T H, Huey L G, Avery M A, Weinheimer A J, Flocke F M, Tarasick D W, Thompson A M, Streets D G and Liu X. 2010. Trans-Pacific transport of reactive nitrogen and ozone to Canada during spring. Atmospheric Chemistry and Physics, 10(17): 8353-8372
  39. 39.
    Zhou Y, Brunner D, Spurr R J D, Boersma K F, Sneep M, Popp C and Buchmann B. 2010. Accounting for surface reflectance anisotropy in satellite retrievals of tropospheric NO2. Atmospheric Measurement Techniques, 3(5): 1185-1203

قراءة النص الكامل

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website