Constraining NOx emissions using satellite NO2 measurements during 2013 DISCOVER-AQ Texas campaign

Atmospheric Environment

Volumn 131, Issue , 2016, Pages 371-381

  Souri, Amir Hossein ^a   Choi, Yunsoo ^a   Jeon, Wonbae ^a   Li, Xiangshang ^a   Pan, Shuai ^a   Diao, Lijun ^a   Westenbarger, David A ^b  

^a University of Houston   (United States)

^b Texas Commission on Environmental Quality   (United States)

Author keywords

Bayesian; CMAQ DDM; Data assimilation; NOx emissions; Remote sensing

Indexed keywords

AIR QUALITY; BARIUM COMPOUNDS; INVERSE PROBLEMS; NITROGEN OXIDES; QUALITY CONTROL; RAIN; REMOTE SENSING; SATELLITES; SENSITIVITY ANALYSIS; SHIPS; SOILS; TROPOSPHERE;

AIR POLLUTANT CONCENTRATIONS; BAYESIAN; CMAQ DDM; DATA ASSIMILATION; DECOUPLED DIRECT METHODS; NATIONAL EMISSION INVENTORIES; NOX EMISSIONS; SATELLITE OBSERVATIONS;

TELLURIUM COMPOUNDS;

NITROGEN DIOXIDE; OZONE;

AIR QUALITY; ANTHROPOGENIC SOURCE; BAYESIAN ANALYSIS; DATA ASSIMILATION; EMISSION INVENTORY; MEASUREMENT METHOD; NITROGEN OXIDES; POLLUTION MONITORING; REMOTE SENSING; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; TROPOSPHERE;

AIR POLLUTANT; AIR QUALITY; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; METEOROLOGY; PHYSICS; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SIMULATION; SOIL; TEMPERATURE; UNITED STATES; WIND;

HOUSTON; HOUSTON SHIP CHANNEL; TEXAS; UNITED STATES;

EID: 84959313920     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2016.02.020     Document Type: Article

References (47)

1. Browne E.C., Cohen R.C. Effects of biogenic nitrate chemistry on the NOx lifetime in remote continental regions. Atmos. Chem. Phys. 2012, 12:11917-11932. 10.5194/acp-12-11917-2012.
2. 2 retrieval algorithm for nadir-viewing satellite instruments: application to OMI. Atmos. Meas. Tech. 2013, 6:2607-2626. 10.5194/amt-6-2607-2013.
3. Butler T.J., Likens G.E., Vermeylen F.M., Stunder B.J.B. The impact of changing nitrogen oxide emissions on wet and dry nitrogen deposition in the northeastern USA. Atmos. Environ. 2005, 39(27):4851-4862.
4. Byun D., Schere K.L. Review of the governing equations, computational algorithms, and other components of the Models-3 Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev. 2006, 59(2):51-77.
5. Canty T.P., Hembeck L., Vinciguerra T.P., Anderson D.C., Goldberg D.L., Carpenter S.F., Allen D.J., Loughner C.P., Salawitch R.J., Dickerson R.R. Ozone and NOx chemistry in the eastern US: evaluation of CMAQ/CB05 with satellite (OMI) data. Atmos. Chem. Phys. 2015, 15:10965-10982. 10.5194/acp-15-10965-2015.
6. 2 column observations. Atmos. Environ. 2009, 43(32):5046-5055.
7. 3 discrepancies in the urban and outflow areas of the Pacific and Lower Middle US. Atmos. Chem. Phys. 2014, 14:675-690. 10.5194/acp-14-675-2014.
8. 3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States. Atmos. Chem. Phys. 2012, 6291-6307.
9. Choi Y., Kim J., Eldering A., Osterman G., Yung Y.L., Gu Y., Liou K.N. Lightning and anthropogenic NOx sources over the United States and the western north Atlantic Ocean: impact on OLR and radiative effects. Geophys. Res. Lett. 2009, 36:L17806. 10.1029/2009GL039381.
10. Choi Y., Souri A.H. Chemical condition and surface ozone in large cities of Texas during the last decade: observational evidence from OMI, CAMS, and model analysis. Remote Sens. Environ. 2015, 168:90-101. 10.1016/j.rse.2015.06.026.
11. Choi Y., Souri A.H. Seasonal behavior and long-term trends of tropospheric ozone, its precursors and chemical conditions over Iran: a view from space. Atmos. Environ. 2015, 106:232-240.
12. Cohan D.S., Hakami A., Hu Y., Russell A.G. Nonlinear response of ozone to emissions: source apportionment and sensitivity analysis. Environ. Sci. Technol. 2005, 39(17):6739-6748.
13. Cohan D.S., Napelenok S.L. Air quality response modeling for decision support. Atmosphere 2011, 2(3):407-425.
14. Diao L., Roy A., Czader B., Pan S., Jeon W., Souri A.H., Choi Y. Modeling the effect of relative humidity on nitrous acid formation in the Houston area. Atmos. Environ. 2016, 131:78-82.
15. Duncan B.N., Prados A.I., Lamsal L.N., Liu Y., Streets D.G., Gupta P., Hilsenrath E., Kahn R.A., Nielsen J.E., Beyersdorf A.J., Burton S.P., Fiore A.M., Fishman J., Henze D.K., Hostetler C.A., Krotkova N.A., Lee P., Lin M., Pawson S., Pfister G., Pickering K.E., Pierce R.B., Yoshida Y., Ziemba L.D. Satellite data of atmospheric pollution for US air quality applications: examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid. Atmos. Environ. 2014, 94:647-662.
16. x over China: reconciling the difference of inverse modeling results using GOME-2 and OMI measurements. J. Geophys. Res. Atmos. 2014, 119. 10.1002/2014JD021644.
17. Guenther A., Geron C., Pierce T., Lamb B., Harley P., Fall R. Natural emissions of non-methane volatile organic compounds, carbon monoxide, and oxides of nitrogen from North America. Atmos. Environ. 2000, 34(12):2205-2230.
18. x emission fluxes of INTEX-B, CAPSS, and REAS inventories. Atmos. Chem. Phys. 2015, 15:1913-1938. 10.5194/acp-15-1913-2015.
19. 2 product. Atmos. Chem. Phys. 2010, 10:8839-8854. 10.5194/acp-10-8839-2010.
20. Huang M., Bowman K.W., Carmichael G.R., Chai T., Pierce R.B., Worden J.R., Luo M., Pollack I.B., Ryerson T.B., Nowak J.B., Neuman J.A., Roberts J.M., Atlas E.L., Blake D.R. Changes in nitrogen oxides emissions in California during 2005-2010 indicated from top-down and bottom-up emission estimates. J. Geophys. Res. Atmos. 2014, 119(22):12-928.
21. Hudman R.C., Russell A.R., Valin L.C., Cohen R.C. Interannual variability in soil nitric oxide emissions over the United States as viewed from space. Atmos. Chem. Phys. 2010, 10:9943-9952. 10.5194/acp-10-9943-2010.
22. Hudman R.C., Moore N.E., Mebust A.K., Martin R.V., Russell A.R., Valin L.C., Cohen R.C. Steps towards a mechanistic model of global soil nitric oxide emissions: implementation and space based-constraints. Atmos. Chem. Phys. 2012, 12(16):7779-7795.
23. Jaeglé L., Steinberger L., Martin R.V., Chance K. Global partitioning of NOx sources using satellite observations: relative roles of fossil fuel combustion, biomass burning and soil emissions. Faraday Discuss. 2005, 130:407-423.
24. Jeon W., Choi Y., Lee H.W., Lee S.-H., Yoo J.-W., Park J., Lee H.-J. A quantitative analysis of grid nudging effect on each process of PM2.5 production in the Korean Peninsula. Atmos. Environ. 2015, 122:763-774. 10.1016/j.atmosenv.2015.10.050.
25. Kampa M., Castanas E. Human health effects of air pollution. Environ. Pollut. 2008, 151(2):362-367.
26. Kemball-Cook S., Yarwood G., Johnson J., Dornblaser B., Estes M. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data. Atmos. Environ. 2015, 117:1-8.
27. Kim S.-W., McKeen S.A., Frost G.J., Lee S.-H., Trainer M., Richter A., Angevine W.M., Atlas E., Bianco L., Boersma K.F., Brioude J., Burrows J.P., de Gouw J., Fried A., Gleason J., Hilboll A., Mellqvist J., Peischl J., Richter D., Rivera C., Ryerson T., te Lintel Hekkert S., Walega J., Warneke C., Weibring P., Williams E. Evaluations of NOx and highly reactive VOC emission inventories in Texas and their implications for ozone plume simulations during the Texas Air Quality Study 2006. Atmos. Chem. Phys. 2011, 11:11361-11386. 10.5194/acp-11-11361-2011.
28. Kuhlmann G., Hartl A., Cheung H.M., Lam Y.F., Wenig M.O. A novel gridding algorithm to create regional trace gas maps from satellite observations. Atmos. Meas. Tech. 2014, 7:451-467. 10.5194/amt-7-451-2014.
29. 2 observations. Atmos. Chem. Phys. 2014, 14:11587-11609. 10.5194/acp-14-11587-2014.
30. Lamsal L.N., Martin R.V., van Donkelaar A., Steinbacher M., Celarier E.A., Bucsela E., Dunlea E.J., Pinto J.P. Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument. J. Geophys. Res. 2008, 113:D16308. 10.1029/2007JD009235.
31. Li X., Choi Y., Czader B., Kim H., Lefer B., Pan S. The impact of observation nudging on simulated meteorology and ozone concentrations during DISCOVER-AQ 2013 Texas campaign. Atmos. Chem. Phys. Discuss. 2015, 15:27357-27404. 10.5194/acpd-15-27357-2015.
32. 2 columns. J. Geophys. Res. 2003, 108(D17):4537. 10.1029/2003JD003453.
33. Napelenok S.L., Pinder R.W., Gilliland A.B., Martin R.V. A method for evaluating spatially-resolved NOx emissions using Kalman filter inversion, direct sensitivities, and space-based NO2 observations. Atmos. Chem. Phys. 2008, 8(18):5603-5614.
34. 2. J. Geophys. Res. 1978, 83(C6):3051-3057. 10.1029/JC083iC06p03051.
35. Pan S., Choi Y., Roy A., Li X., Jeon W., Souri A.H. Modeling the uncertainty of several VOC and its impact on simulated VOC and ozone in Houston, Texas. Atmos. Environ. 2015, 120:404-416. November 2015, 120.
36. Rodgers C.D. Inverse Methods for Atmospheric Sounding-theory and Practice. Series: Series on Atmospheric Oceanic and Planetary Physics 2000, vol. 2. World Scientific Publishing Co. Pte. Ltd.
37. 2 column densities from OMI: method and evaluation. Atmos. Chem. Phys. 2011, 11:8543-8554. 10.5194/acp-11-8543-2011.
38. Sandu A., Chai T. Chemical data assimilation-an overview. Atmosphere 2011, 2(3):426-463.
39. Seinfeld J.H., Pandis S.N. Atmospheric Chemistry and Physics: from Air Pollution to Climate Change 2012, John Wiley & Sons.
40. Shim C., Wang Y., Choi Y., Palmer P.I., Abbot D.S., Chance K. Constraining global isoprene emissions with Global Ozone Monitoring Experiment (GOME) formaldehyde column measurements. J. Geophys. Res. Atmos. (1984-2012) 2005, 110(D24).
41. Skamarock W.C., Klemp J.B. A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys. 2008, 227(7):3465-3485.
42. Souri A.H., Choi Y., Li X., Kotsakis A., Jiang X. A 15-yr climatology of wind pattern impacts on surface ozone in Houston, TX. Atmos. Res. 2016, (Accepted) http://dx.doi.org/10.1016/j.atmosres.2016.02.007.
43. Streets D.G., Canty T., Carmichael G.R., de Foy B., Dickerson R.R., Duncan B.N., Edwards D.P., Haynes J.A., Henze D.K., Houyoux M.R., Jacob D.J., Krotkov N.A., Lamsal L.N., Liu Y., Lu Z., Martin R.V., Pfister G.G., Pinder R.W., Salawitch R.J., Wecht K.J. Emissions estimation from satellite retrievals: a review of current capability. Atmos. Environ. 2013, 77:1011-1042.
44. Turner A.J., Jacob D.J. Balancing aggregation and smoothing errors in inverse models. Atmos. Chem. Phys. 2015, 15(1):1001-1026.
45. van der Werf G.R., Randerson J.T., Giglio L., Collatz G.J., Kasibhatla P.S., Arellano A.F. Interannual variability in global biomass burning emissions from 1997 to 2004. Atmos. Chem. Phys. 2006, 6:3423-3441. 10.5194/acp-6-3423-2006.
46. Yienger J.J., Levy H. Empirical model of global soil-biogenic NOx emissions. J. Geophys. Res. 1995, 100(D6):11447-11464.
47. Zhang L., Jacob D.J., Boersma K.F., Jaffe D.A., Olson J.R., Bowman K.W., Worden J.R., Thompson A.M., Avery M.A., Cohen R.C., Dibb J.E., Flock F.M., Fuelberg H.E., Huey L.G., McMillan W.W., Singh H.B., Weinheimer A.J. Transpacific transport of ozone pollution and the effect of recent Asian emission increases on air quality in North America: an integrated analysis using satellite, aircraft, ozonesonde, and surface observations. Atmos. Chem. Phys. 2008, 8:6117-6136. 10.5194/acp-8-6117-2008.