предыдущий|следующий

Tropospheric NO2 column density retrieval from the GF-5 EMI data

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：chenglx@radi.ac.cn
  • Introduction：程良晓，1991年生，男，博士研究生，研究方向为大气环境遥感。E-mail：chenglx@radi.ac.cn
CHENG Liangxiao12,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

  • Email：taojh@aircas.ac.cn
  • Introduction：陶金花，1978年生，女，副研究员，研究方向为大气遥感反演方法研究和应用。E-mail：taojh@aircas.ac.cn
TAO Jinhua1*,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

YU Chao1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

ZHANG Ying1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

FAN Meng1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

WANG Yapeng13,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

CHEN Yuanlin12,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

ZHU Lili1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

GU Jianbin1,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

CHEN Liangfu12

реферат

Significant impact of NO2 on global atmospheric environment and human health necessitate accurate monitoring of NO2. On the one hand, people can study and analyze their generation and extinction laws, distribution characteristics, diffusion, and transmission characteristics. On the other hand, it can provide decision-making basis for the formulation of pollutant discharge policy and pollution control program. However, the number of ground-based air quality monitoring stations has been increasing, providing abundant NO2 ground observation data. Large-scale monitoring of NO2 emissions requires the development of other monitoring methods. Satellite instruments covering the ultraviolet and visible spectrum have been widely used to detect the concentration of NO2 column in the atmosphere with the advantage of wide-range observation. to further strengthen the domestic air quality monitoring, and improve the air quality in China, the Environmental Trace Gas Monitoring Instrument (EMI) onboard the Chinese GaoFen-5 (GF-5) satellite was launched on May 9, 2018. It is a nadir-viewing wide-field hyperspectral spectrometer, which measures the earth’s backscattered radiation in the ultraviolet and visible spectrum and is designed for atmospheric trace gas detection. Based on the measured spectrum of EMI VIS1 channel, the tropospheric NO2 Vertical Column Density (VCD) was retrieved by Differential Optical Absorption Spectrometry (DOAS) method, which consists of three key steps, namely, spectral fitting, Stratosphere-Troposphere Separation (STS), and tropospheric Air Mass Factor (AMF) calculations. After spectral fitting, a stripe correction scheme was developed for the stripe phenomenon that appears in the initial fitted NO2 SCD. The current advanced STREAM algorithm was used to estimate the stratospheric NO2 concentration, and the TM5 NO2 profile with higher spatial resolution was used in the calculation of tropospheric AMF. The retrieval results of tropospheric NO2 VCD based on EMI were presented, and the results were cross-verified with NO2 products from international similar instruments, i.e., OMI and TROPOMI. From a larger spatial scale, EMI can reflect the global distribution of typical NO2 pollution city sources. In terms of regional scale, the daily spatial distribution correlation coefficients between EMI and TROPOMI in different regions are greater than 0.9. On a monthly time scale, EMI and OMI (TROPOMI) show consistent spatial distribution in the four urban agglomerations of China, and the average spatial correlation coefficient is 0.8 (0.87). The regional mean bias between EMI and OMI (TROPOMI) is within 11.3% (9.5%). The time series analysis of the Pearl River Delta region shows that EMI has high consistency (r=0.89) with TROPOMI. The ground-based MAX-DOAS observation results are also used for validation. The ground validation results show that the EMI retrieval results have high correlation coefficient (0.96) and approximately 35% underestimated. This study proves EMI’s ability in global NO2 monitoring. In the future, domestic instruments similar to EMI are carried out on the GF-5 (02) satellite and the atmospheric environmental monitoring satellite (AEMS), which contributes continuously to China’s trace gas detection. Therefore, this study can provide reference for the design of next similar instruments and the development of corresponding NO2 retrieval algorithm in China.

ключеви́че слова́

remote sensing;GF-5;EMI;NO2;DOAS

References

  1. 1.
    Barkley M P, Abad G G, Kurosu T P, Spurr R, Torbatian S and Lerot C. 2017. OMI air-quality monitoring over the Middle East. Atmospheric Chemistry and Physics, 17(7): 4687-4709
  2. 2.
    Beirle S, Hörmann C, Jöckel P, Liu S, Penning de Vries M, Pozzer A, Sihler H, Valks P and Wagner T. 2016. The STRatospheric Estimation Algorithm from Mainz (STREAM): estimating stratospheric NO2 from nadir-viewing satellites by weighted convolution. Atmospheric Measurement Techniques, 9(7): 2753-2779
  3. 3.
    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) [DOI: 10.1029/2003JD003962]
  4. 4.
    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
  5. 5.
    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
  6. 6.
    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 and Bucsela E J. 2007. Near-real time retrieval of tropospheric NO2 from OMI. Atmospheric Chemistry and Physics, 7(8): 2103-2118
  7. 7.
    Bovensmann H, Burrows J P, Buchwitz M, Frerick J, Noël S, Rozanov V V, Chance K V and Goede A P H. 1999. SCIAMACHY: mission objectives and measurement modes. Journal of the Atmospheric Sciences, 56(2): 127-150
  8. 8.
    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
  9. 9.
    Burrows J P, Weber M, Buchwitz M, Rozanov V, Ladstätter-Weißenmayer A, Richter A, DeBeek R, Hoogen R, Bramstedt K, Eichmann K U, Eisinger M and Perner D. 1999. The global ozone monitoring experiment (GOME): mission concept and first scientific results. Journal of the Atmospheric Sciences, 56(2): 151-175
  10. 10.
    Callies J, Corpaccioli E, Eisinger M, Hahne A and Lefebvre A. 2000. GOME-2 - Metop's second-generation sensor for operational ozone monitoring. Esa Bulletin, 102: 28-36
  11. 11.
    Chen D M, Feng Y and Zhang X Y. 2017. Comparison of variability and change rate in tropospheric NO2 column obtained from satellite products across China during 1997-2015. International Journal of Digital Earth, 10(8): 814-828
  12. 12.
    Cheng L X, Tao J H, Valks P, Yu C, Liu S, Wang Y P, Xiong X Z, Wang Z F and Chen L F. 2019. NO2 retrieval from the environmental trace gases monitoring instrument (EMI): preliminary results and intercomparison with OMI and TROPOMI. Remote Sensing, 11(24): 3017
  13. 13.
    Drosoglou T, Bais A F, Zyrichidou I, Kouremeti N, Poupkou A, Liora N, Giannaros C, Koukouli M E, Balis D and Melas D. 2017. Comparisons of ground-based tropospheric NO2 MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece. Atmospheric Chemistry and Physics, 17(9): 5829-5849
  14. 14.
    Drosoglou T, Koukouli M E, Kouremeti N, Bais A F, Zyrichidou I, Balis D, van der A R J, Xu J and Li A. 2018. MAX-DOAS NO2 observations over Guangzhou, China; ground-based and satellite comparisons. Atmospheric Measurement Techniques, 11(4): 2239-2255
  15. 15.
    Georgoulias A K, van der A R J, Stammes P, Boersma K F and Eskes H J. 2019. Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations. Atmospheric Chemistry and Physics, 19(9): 6269-6294
  16. 16.
    Ghude S D, van der A R J, Beig G, Fadnavis S and Polade S D. 2009. Satellite derived trends in NO2 over the major global hotspot regions during the past decade and their inter-comparison. Environmental Pollution, 157(6): 1873-1878
  17. 17.
    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, 113(D18): D18308
  18. 18.
    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. 2020. OMI/aura nitrogen dioxide standard product with improved surface and cloud treatments. Atmospheric Measurement Techniques Discussions
  19. 19.
    Lelieveld J, Beirle S, Hörmann C, Stenchikov G and Wagner T. 2015. Abrupt recent trend changes in atmospheric nitrogen dioxide over the Middle East. Science Advances, 1(7): e1500498
  20. 20.
    Levelt P F, van den Oord G H J, Dobber M R, Malkki A, Visser H, de Vries J, Stammes P, Lundell J O V and Saari H. 2006. The ozone monitoring instrument. IEEE Transactions on Geoscience and Remote Sensing, 44(5): 1093-1101
  21. 21.
    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
  22. 22.
    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. 2019a. Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile. Atmospheric Measurement Techniques, 12(1): 1-21
  23. 23.
    Liu S, Valks P, Pinardi G, de Smedt I, Yu H, Beirle S and Richter A. 2019b. An improved total and tropospheric NO2 column retrieval for GOME-2. Atmospheric Measurement Techniques, 12(2): 1029-1057
  24. 24.
    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
  25. 25.
    Ma Q K, Cheng C L, Li M, Chen D H, Zhou Y, Wu M X and Zhou Z. 2019. The aerosol optical characteristics and chemical composition of single particles in Heshan. China Environmental Science, 39(7): 2710-2720
  26. 26.
    Munro R, Lang R, Klaes D, Poli G, Retscher C, Lindstrot R, Huckle R, Lacan A, Grzegorski M, Holdak A, Kokhanovsky A, Livschitz J and Eisinger M. 2016. The GOME-2 instrument on the Metop series of satellites: instrument design, calibration, and level 1 data processing - an overview. Atmospheric Measurement Techniques, 9(3): 1279-1301
  27. 27.
    Rozanov V V, Dinter T, Rozanov A V, Wolanin A, Bracher A and Burrows J P. 2017. Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: software package SCIATRAN. Journal of Quantitative Spectroscopy and Radiative Transfer, 194: 65-85
  28. 28.
    Seinfeld J H and Pandis S N. 2016. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change. 3rd ed. Hoboken: Wiley
  29. 29.
    Sillman S, Logan J A and Wofsy S C. 1990. The sensitivity of ozone to nitrogen oxides and hydrocarbons in regional ozone episodes. Journal of Geophysical Research, 95(D2): 1837-1851
  30. 30.
    Solomon S. 1999. Stratospheric ozone depletion: a review of concepts and history. Reviews of Geophysics 37(3): 275-316
  31. 31.
    Valks P, Pinardi G, Richter A, Lambert J C, Hao N, Loyola D, van Roozendael M and Emmadi S. 2011. Operational total and tropospheric NO2 column retrieval for GOME-2. Atmospheric Measurement Techniques, 4(7): 1491-1514
  32. 32.
    van der A R J, Peters D H M U, Eskes H, Boersma K F, van Roozendael M, de Smedt I and Kelder H M. 2006. Detection of the trend and seasonal variation in tropospheric NO2 over China. Journal of Geophysical Research, 111(D12): D12317
  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.
    Veefkind J P, Aben I, McMullan K, Förster H, de Vries J, Otter G, Claas J, Eskes H J, de Haan J F, Kleipool Q, van Weele M, Hasekamp O, Hoogeveen R, Landgraf J, Snel R, Tol P, Ingmann P, Voors R, Kruizinga B, Vink R, Visser H and Levelt P F. 2012. TROPOMI on the ESA Sentinel-5 Precursor: a GMES mission for global observations of the atmospheric composition for climate, air quality and ozone layer applications. Remote Sensing of Environment, 120: 70-83
  35. 35.
    Wang Y, Beirle S, Lampel J, Koukouli M, de Smedt I, Theys N, Li A, Wu D X, Xie P H, Liu C, van Roozendael M, Stavrakou T, Müller J F and Wagner T. 2017. Validation of OMI, GOME-2A and GOME-2B tropospheric NO2, SO2 and HCHO products using MAX-DOAS observations from 2011 to 2014 in Wuxi, China: investigation of the effects of priori profiles and aerosols on the satellite products. Atmospheric Chemistry and Physics, 17(8): 5007-5033
  36. 36.
    Williams J E, Boersma K F, Le Sager P and Verstraeten W W. 2017. The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation. Geoscientific Model Development, 10(2): 721-750
  37. 37.
    Xiao Z Y, Jiang H, Song X D and Zhang X Y. 2013. Monitoring of atmospheric nitrogen dioxide using Ozone Monitoring Instrument remote sensing data. Journal of Applied Remote Sensing, 7(1): 073534
  38. 38.
    Zhang C X, Liu C, Wang Y, Si F Q, Zhou H J, Zhao M J, Su W J, Zhang W Q, Chan K L, Liu X, Xie P H, Liu J G and Wagner T. 2018a. Preflight evaluation of the performance of the Chinese environmental trace gas monitoring instrument (EMI) by spectral analyses of nitrogen dioxide. IEEE Transactions on Geoscience and Remote Sensing, 56(6): 3323-3332
  39. 39.
    Zhang J, van der A R J and Ding J Y. 2018b. Detection and emission estimates of NOx sources over China North Plain using OMI observations. International Journal of Remote Sensing, 39(9): 2847-2859
  40. 40.
    Zhang L S, Lee C S, Zhang R Q and Chen L F. 2017. Spatial and temporal evaluation of long term trend (2005-2014) of OMI retrieved NO2 and SO2 concentrations in Henan Province, China. Atmospheric Environment, 154: 151-166
  41. 41.
    Zhang W T, Zhang X Y, Liu L, Zhao L M and Lu X H. 2018. Spatial variations in NO2 trend in North China Plain based on multi-source satellite remote sensing. Journal of Remote Sensing, 22(2): 335-346
  42. 42.
    Zhang X Y, Wang F, Wang W H, Huang F X, Chen B L, Gao L, Wang S P, Yan H H, Ye H H, Si F Q, Hong J, Li X Y, Cao Q, Che H Z and Li Z Q. 2020. The development and application of satellite remote sensing for atmospheric compositions in China. Atmospheric Research, 245: 105056
  43. 43.
    Zhao M J, Si F Q, Zhou H J, Wang S M and Jiang Y. 2019. Level 0～1 processor of spaceborne environmental trace gases monitoring instrument. Journal of Atmospheric and Environmental Optics, 14(1): 66-73
  44. 44.
    Zhao M J, Si F Q, Zhou H J, Wang S M, Jiang Y and Liu W Q. 2018. Preflight calibration of the Chinese Environmental Trace Gases Monitoring Instrument (EMI). Atmospheric Measurement Techniques, 11(9): 5403-5419

Читать полностью

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