High-resolution Tropospheric NO2 Retrieval over Asia based on OMI POMINO v2.1 and quantitative comparison with other products
- Vol. 26, Issue 5, Pages: 971-987(2022)
Published: 07 May 2022
DOI: 10.11834/jrs.20221413
扫 描 看 全 文
浏览全部资源
扫码关注微信
Published: 07 May 2022 ,
扫 描 看 全 文
张宇航,林金泰,刘梦瑶,孔浩,陈璐璐,翁宏健,李春锦.2022.基于OMI的亚洲地区对流层NO2高分辨率反演产品POMINO v2.1及其与其他产品的定量对比.遥感学报,26(5): 971-987
Zhang Y H,Lin J T,Liu M Y,Kong H,Chen L L,Weng H J and Li C H. 2022. High-resolution Tropospheric NO2 Retrieval over Asia based on OMI POMINO v2.1 and quantitative comparison with other products. National Remote Sensing Bulletin, 26(5):971-987
对流层二氧化氮(NO
2
)是一种重要的痕量污染气体。现有基于OMI卫星探测器、覆盖亚洲地区的NO
2
公开产品QA4ECV、OMNO2和POMINO受到广泛使用,然而对于这3个产品的差异的定量认识仍然不足。我们将前期开发的POMINO产品进行了改进和优化,更新至v2.1并将反演区域扩大至覆盖东亚、东南亚和南亚大部分地区,随后定量分析了QA4ECV、OMNO2 v4和POMINO v2.1对流层NO
2
垂直柱浓度在2015年—2020年在不同采样条件下的异同。结果显示,POMINO版本的更新对自身NO
2
柱浓度反演结果的整体影响较小(
<
10%)。当3个产品均基于POMINO v2.1进行一致采样时,产品之间在整个亚洲区域的平均差异约为10%,在京津冀等污染地区的差异最高可达40%。3个产品均显示,京津冀地区NO
2
柱浓度在五年间下降了约30%,而长三角地区的变化趋势较小。当3个产品进行分别采样时,POMINO v2.1的有效数据量比其他两个产品增加了11%—44%,特别是更好地保留了重污染情形下的NO
2
数据,从而降低了采样引起的对NO
2
污染水平的系统性低估。本研究对于NO
2
卫星产品差异的定量分析有助于认识氮氧化物污染状况以及排放和影响评估。
Nitrogen dioxide (NO
2
) 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 NO
2
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 NO
2
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 NO
2
AMF calculation. Then we quantitatively compare the NO
2
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 NO
2
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 NO
2
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 NO
2
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.
卫星遥感氮氧化物OMI探测器对流层NO2垂直柱浓度气溶胶数据采样大气污染
satellite remote sensingnitrogen oxidesOMItropospheric NO2 VCDsaerosoldata samplingair pollution
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 [DOI: 10.1126/science.1207824http://dx.doi.org/10.1126/science.1207824]
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 [DOI: 10.1029/2003jd 003962http://dx.doi.org/10.1029/2003jd003962]
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 [DOI: 10.5194/amt-4-1905-2011http://dx.doi.org/10.5194/amt-4-1905-2011]
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 [DOI: 10.5194/amt-11-6651-2018http://dx.doi.org/10.5194/amt-11-6651-2018]
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 [DOI: 10.5194/amt-6-2607-2013http://dx.doi.org/10.5194/amt-6-2607-2013]
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 [DOI: 10.1029/2010jd014943http://dx.doi.org/10.1029/2010jd014943]
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 [DOI: 10.5194/amt-11-6271-2018http://dx.doi.org/10.5194/amt-11-6271-2018]
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 [DOI: 10.1002/2014jd021644http://dx.doi.org/10.1002/2014jd021644]
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 [DOI: 10.1021/es401727ehttp://dx.doi.org/10.1021/es401727e]
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 [DOI: 10.1088/1748-9326/abc7dfhttp://dx.doi.org/10.1088/1748-9326/abc7df]
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 [DOI: 10.1186/1476-069X-12-43http://dx.doi.org/10.1186/1476-069X-12-43]
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 [DOI: 10.1029/2008JD010290http://dx.doi.org/10.1029/2008JD010290]
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 [DOI: 10.5194/acp-19-12835-2019http://dx.doi.org/10.5194/acp-19-12835-2019]
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 [DOI: 10.5194/acp-16-4605-2016http://dx.doi.org/10.5194/acp-16-4605-2016]
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 [DOI: 10.5194/amt-14-455-2021http://dx.doi.org/10.5194/amt-14-455-2021]
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 [DOI: 10.5194/acp-12-2881-2012http://dx.doi.org/10.5194/acp-12-2881-2012]
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 [DOI: 10.5194/acp-15-11217-2015http://dx.doi.org/10.5194/acp-15-11217-2015]
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 [DOI: 10.5194/acp-14-1441-2014http://dx.doi.org/10.5194/acp-14-1441-2014]
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 [DOI: 10.5194/acp-11-8171-2011http://dx.doi.org/10.5194/acp-11-8171-2011]
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 [DOI: 10.5194/amt-12-1-2019http://dx.doi.org/10.5194/amt-12-1-2019]
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 [DOI: 10.5194/amt-13-4247-2020http://dx.doi.org/10.5194/amt-13-4247-2020]
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 [DOI: 10.5194/amt-11-4509-2018http://dx.doi.org/10.5194/amt-11-4509-2018]
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 [DOI: 10.5194/amt-10-759-2017http://dx.doi.org/10.5194/amt-10-759-2017]
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 [DOI: 10.1109/36.841980http://dx.doi.org/10.1109/36.841980]
Martin R V. 2008. Satellite remote sensing of surface air quality. Atmospheric Environment, 42(34): 7823-7843 [DOI: 10.1016/j.atmosenv.2008.07.018http://dx.doi.org/10.1016/j.atmosenv.2008.07.018]
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 [DOI: 10.1029/2000JD900772http://dx.doi.org/10.1029/2000JD900772]
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 [DOI: 10.1016/j.atmosenv.2020.117322http://dx.doi.org/10.1016/j.atmosenv.2020.117322]
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 [DOI: 10.1016/j.rse.2006.03.002http://dx.doi.org/10.1016/j.rse.2006.03.002]
Seinfeld J H and Pandis S N. 2016. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. Hoboken: John Wiley & Sons: 235-331
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 [DOI: 10.5194/acp-20-1483-2020http://dx.doi.org/10.5194/acp-20-1483-2020]
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 [DOI: 10.1126/science.1174760http://dx.doi.org/10.1126/science.1174760]
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 [DOI: 10.5194/acp-17-1775-2017http://dx.doi.org/10.5194/acp-17-1775-2017]
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 [DOI: 10.5194/amt-8-1685-2015http://dx.doi.org/10.5194/amt-8-1685-2015]
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 [DOI: 10.5194/amt-14-2857-2021http://dx.doi.org/10.5194/amt-14-2857-2021]
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 [DOI: 10.5194/amt-10-333-2017http://dx.doi.org/10.5194/amt-10-333-2017]
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 [DOI: 10.5194/amt-11-4093-2018http://dx.doi.org/10.5194/amt-11-4093-2018]
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 [DOI: 10.5194/amt-9-6035-2016http://dx.doi.org/10.5194/amt-9-6035-2016]
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 [DOI: 10.5194/acp-10-8353-2010http://dx.doi.org/10.5194/acp-10-8353-2010]
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 [DOI: 10.5194/amt-3-1185-2010http://dx.doi.org/10.5194/amt-3-1185-2010]
相关文章
相关作者
相关机构