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Influence of Satellite-derived Photolysis Rates and NoX Emissions on Texas Ozone Modeling : Volume 14, Issue 17 (23/09/2014)

By Tang, W.

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Book Id: WPLBN0003981191
Format Type: PDF Article :
File Size: Pages 48
Reproduction Date: 2015

Title: Influence of Satellite-derived Photolysis Rates and NoX Emissions on Texas Ozone Modeling : Volume 14, Issue 17 (23/09/2014)  
Author: Tang, W.
Volume: Vol. 14, Issue 17
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany

Citation

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Cohan, D. S., Xiao, X., Pour-Biazar, A., Lash, B., White, A., Tang, W.,...Henderson, B. H. (2014). Influence of Satellite-derived Photolysis Rates and NoX Emissions on Texas Ozone Modeling : Volume 14, Issue 17 (23/09/2014). Retrieved from http://www.ebooklibrary.org/


Description
Description: Department of Civil and Environmental Engineering, Rice University, 6100 Main Street MS 519, Houston, TX 77005, USA. Uncertain photolysis rates and emission inventory impair the accuracy of state-level ozone (O3) regulatory modeling. Past studies have separately used satellite-observed clouds to correct the model-predicted photolysis rates, or satellite-constrained top-down NOx emissions to identify and reduce uncertainties in bottom-up NOx emissions. However, the joint application of multiple satellite-derived model inputs to improve O3 State Implementation Plan (SIP) modeling has rarely been explored. In this study, Geostationary Operational Environmental Satellite (GOES) observations of clouds are applied to derive the photolysis rates, replacing those used in Texas SIP modeling. This changes modeled O3 concentrations by up to 80 ppb and improves O3 simulations by reducing modeled normalized mean bias (NMB) and normalized mean error (NME) by up to 0.1. A sector-based discrete Kalman filter (DKF) inversion approach is incorporated with the Comprehensive Air Quality Model with extensions (CAMx)-Decoupled Direct Method (DDM) model to adjust Texas NOx emissions using a high resolution Ozone Monitoring Instrument (OMI) NO2 product. The discrepancy between OMI and CAMx NO2 vertical column densities (VCD) is further reduced by increasing modeled NOx lifetime and adding an artificial amount of NO2 in the upper troposphere. The sector-based DKF inversion tends to scale down area and non-road NOx emissions by 50%, leading to a 2–5 ppb decrease in ground 8 h O3 predictions. Model performance in simulating ground NO2 and O3 are improved using inverted NOx emissions, with 0.25 and 0.04 reductions in NMBs and 0.13 and 0.04 reductions in NMEs, respectively. Using both GOES-derived photolysis rates and OMI-constrained NOx emissions together reduces modeled NMB and NME by 0.05 and increases the model correlation with ground measurement in O3 simulations and makes O3 more sensitive to NOx emissions in the O3 non-attainment areas.

Summary
Influence of satellite-derived photolysis rates and NOx emissions on Texas ozone modeling

Excerpt
Allen, D. J., Pickering, K. E., Pinder, R. W., Henderson, B. H., Appel, K. W., and Prados, A.: Impact of lightning-NO on eastern United States photochemistry during the summer of 2006 as determined using the CMAQ model, Atmos. Chem. Phys., 12, 1737–1758, doi:10.5194/acp-12-1737-2012, 2012.; 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.: Near-real time retrieval of tropospheric NO2 from OMI, Atmos. Chem. Phys., 7, 2103–2118, doi:10.5194/acp-7-2103-2007, 2007.; Browne, E. C., Perring, A. E., Wooldridge, P. J., Apel, E., Hall, S. R., Huey, L. G., Mao, J., Spencer, K. M., Clair, J. M. St., Weinheimer, A. J., Wisthaler, A., and Cohen, R. C.: Global and regional effects of the photochemistry of \chemCH_3O_2NO_2: evidence from ARCTAS, Atmos. Chem. Phys., 11, 4209–4219, doi:10.5194/acp-11-4209-2011, 2011.; 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.: A new stratospheric and tropospheric NO2 retrieval algorithm for nadir-viewing satellite instruments: applications to OMI, Atmos. Meas. Tech., 6, 2607–2626, doi:10.5194/amt-6-2607-2013, 2013.; Byun, D. W., Kim, S.-T., and Kim, S. B.: Evaluation of air quality models for the simulation of a high ozone episode in the Houston metropolitan area, Atmos. Environ., 41, 837–853, 2007.; Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., and Walcek, C. J.: A 3-dimensional Eulerian acid deposition model – Physical concepts and formulation, J. Geophys. Res., 92, 14681–14700, 1987.; Cohan, D. S., Koo, B., and Yarwood, G.: Influence of uncertain reaction rates on ozone sensitivity to emissions in Houston, Atmos. Environ., 44, 3101–3109, 2010.; Crawford, J., Pickering, K., Kleb, M., and Chen, G.: DISCOVER-AQ: overall objectives and overview of Houston operations during September 2013, presented in: 6th AQAST meeting, Houston, TX, 16 January 2014.; Curci, G., Palmer, P. I., Kurosu, T. P., Chance, K., and Visconti, G.: Estimating European volatile organic compound emissions using satellite observations of formaldehyde from the Ozone Monitoring Instrument, Atmos. Chem. Phys., 10, 11501–11517, doi:10.5194/acp-10-11501-2010, 2010.; Daum, P. H., Kleinman, L. I., Springston, S. R., Nunnemacker, L. J., Lee, Y- N., Weinstein-Lloyd, J., Zheng, J., and Berkowitz, C. M.: Origin and properties of plumes of high ozone observed during Texas 2000 Air Quality Study (TEXAQS 2000), Geophys. Res. Lett., 109, D17306, doi:10.1029/2003JD004311, 2004.; de Gouw, J. A., Te Lintel Hekkert, S., Mellqvist, J., Warneke, C., Atlas, E. L., Fehsenfeld, F. C., Fried, A., Frost, G. J., Harren, F. J. M., Holloway, J. S., Lefer, B., Lueb, R., Meagher, J. F., Parrish, D. D., Patel, M., Pope, L., Richter, D., Rivera, C., Ryerson, T. B., Samuelsson, J.,Walega, J.,Washenfelder, R. A.,Weibring, P., and Zhu, X.: Airborne measurements of ethane from industrial sources using laser photo-acoustic spectroscopy, Environ. Sci. Technol., 43, 2437–2442, 2009.; Deguillaume, L., Beekmann, M., and Menut, L.: Bayesian Monte Carlo analysis applied to regional-scale inverse emission modeling for reactive trace gases, J. Geophys. Res., 112, D02307, doi:10.1029/2006JD007518, 2007.; Digar, A. and Cohan, D. S.: Efficient characterization of pollutant-emission response unde

 

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