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The Impact of Satellite-adjusted NoX Emissions on Simulated NoX and O3 Discrepancies in the Urban and Outflow Areas of the Pacific and Lower Middle US : Volume 14, Issue 2 (22/01/2014)

By Choi, Y.

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Book Id: WPLBN0003993963
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: The Impact of Satellite-adjusted NoX Emissions on Simulated NoX and O3 Discrepancies in the Urban and Outflow Areas of the Pacific and Lower Middle US : Volume 14, Issue 2 (22/01/2014)  
Author: Choi, Y.
Volume: Vol. 14, Issue 2
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Choi, Y. (2014). The Impact of Satellite-adjusted NoX Emissions on Simulated NoX and O3 Discrepancies in the Urban and Outflow Areas of the Pacific and Lower Middle US : Volume 14, Issue 2 (22/01/2014). Retrieved from

Description: Department of Earth and Atmospheric Sciences,University of Houston, 312 Science & Research Building 1, Houston, TX 77204, USA. We analyze the simulation results from a CMAQ model and GOME-2 NO2 retrievals over the United States for August 2009 to estimate the model-simulated biases of NOx concentrations over six geological regions (Pacific Coast = PC, Rocky Mountains = RM, Lower Middle = LM, Upper Middle = UM, Southeast = SE, Northeast = NE). By comparing GOME-2 NO2 columns to corresponding CMAQ NO2 columns, we produced satellite-adjusted NOx emission (GOME2009) and compared baseline emission (BASE2009) CMAQ simulations with GOME2009 CMAQ runs. We found that the latter exhibited decreases of −5.6%, −12.3%, −21.3%, and −15.9 % over the PC, RM, LM, and SE regions, respectively, and increases of +2.3% and +10.0% over the UM and NE regions. In addition, we found that changes in NOx emissions generally mitigate discrepancies between the surface NOx concentrations of baseline CMAQ and those of AQS at EPA AQS stations (mean bias of +19.8% to −13.7% over PC, −13.8% to −36.7% over RM, +149.7% to −1.8% over LM, +22.5% to −7.8% over UM, +31.3% to −7.9% over SE, and +11.6% to +0.7% over NE). The relatively high simulated NOx biases from baseline CMAQ over LM (+149.7%) are likely the results of over-predictions of simulated NOx emissions, which could shed light on those from global/regional Chemical Transport Models.

We also perform more detailed investigations on surface NOx and O3 concentrations in two urban and outflow areas, PC (e.g., Los Angeles, South Pasadena, Anaheim, La Habra and Riverside) and LM (e.g., Houston, Beaumont and Sulphur). From two case studies, we found that the GOME2009 emissions decreased surface NOx concentrations significantly in the urban areas of PC (up to 30 ppbv) and in those of LM (up to 10 ppbv) during the daytime and that simulated NOx concentrations from CMAQ with GOME2009 compare well to those of in-situ AQS observations. A significant reduction in NOx concentrations resulted in a comparable increase in surface O3 concentrations in the urban areas of PC (up to 30 ppbv) and the resulting simulated O3 concentrations compare well with in-situ surface O3 observations over South Pasadena, Anaheim, and Riverside. Over Houston, Beaumont, and Sulphur, large reductions in NOx emissions from CMAQ with GOME2009 coincides with large reduced concentrations of simulated NOx. These concentrations are similar to those of the EPA AQS NOx observations. However, the resulting simulated increase in surface O3 at the urban stations in Houston and Sulphur exacerbated preexisting high O3 over-predictions of the baseline CMAQ. This study implies that simulated low O3 biases in the urban areas of PC are likely caused by simulated high NOx biases, but high O3 biases in the urban areas of LM cannot be explained by simulated high NOx biases over the region. This study also suggests that both in-situ surface NOx and O3 observations should be used simultaneously to resolve issues pertaining to simulated high/low O3 bias and that remote-sensing data could be used as a constraint for bottom-up emissions. In addition, we also found that daytime O3 reductions over the outfl

The impact of satellite-adjusted NOx emissions on simulated NOx and O3 discrepancies in the urban and outflow areas of the Pacific and Lower Middle US

Beirle, S., Platt, U., Wenig, M., and Wagner, T.: Weekly cycle of NO2 by GOME measurements: a signature of anthropogenic sources, Atmos. Chem. Phys., 3, 2225–2232, doi:10.5194/acp-3-2225-2003, 2003.; Brioude, J., Kim, S.-W., Angevine, W. M., Frost, G. J., Lee, S.-H., McKeen, S. A., Trainer, M., Fehsenfeld, F.C., Holloway, J. S., Ryerson, T. B., Williams, E. J., Petron, G., and Fast, J. D.: Top-down estimate of anthropogenic emission inventories and their interannual variability in Houston using a mesoscale inverse modeling technique, J. Geophys. Res., 116, D20305, doi:10.1029/2011JD016215, 2011.; Chai, T., Carmichael, G. R., Tang, Y., Sandu, A., Heckel, A., Richter, A., and Burrows, J. P.: Regional NOx emission inversion through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 column observations, Atmos. Environ., 43, 5046–5055, 2009.; Choi, Y., Wang, Y., Zeng, T., Cunnold, D., Yang, E., Martin, R., Chance, K., Thouret, V., and Edgerton, E: Spring to summer northward migration of high O3 over the western North Atlantic, Geophys. Res. Lett, 35, L04818, doi:10.1029/2007GL032276, 2008.; Choi, Y., Kim, J., Eldering, A., Osterman, G., Yung, Y. L., Gu, Y., and 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, 36, L17806, doi:10.1029/2009GL039381, 2009.; Choi, Y., Kim, H., Tong, D., and Lee, P.: Summertime weekly cycles of observed and modeled NOx and O3 concentrations as a function of satellite-derived ozone production sensitivity and land use types over the Continental United States, Atmos. Chem. Phys., 12, 6291–5307, doi:10.5194/acp-12-6291-2012, 2012.; Daum, P. H., Kleinman, L. I., Springston, S. R., Nunnermacker, L.J., Lee, Y.-N., Weinstein-Lloyd, J., Zheng, J., and Berkowtiz, C. M.: A comparative study of O3 formation in the Houston urban and industrial plumes during the 2000 Texas Air Quality Study, J. Geophys. Res., 108, 4715, doi:10.1029/2003JD003552, 2003.; Eder, B., Kang, D., Mathur, R., Pleim, J., Yu, S., Otte, T., and Pouliot, G.: A performance evaluation of the National Air Quality Forecast Capability for the summer of 2007, Atmos. Environ., 43, 2312–2320, 2009.; Foley, K. M., Roselle, S. J., Appel, K. W., Bhave, P. V., Pleim, J. E., Otte, T. L., Mathur, R., Sarwar, G., Young, J. O., Gilliam, R. C., Nolte, C. G., Kelly, J. T., Gilliland, A. B., and Bash, J. O.: Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7, Geosci. Model Dev., 3, 205–226, doi:10.5194/gmd-3-205-2010, 2010.; Gorline, J. and Lee, P.: Performance of NOAA-EPA Air Quality Prediction, 2007–2009 CMAS conference 2010,, 2010.; Han, K. M., Lee, C. K., Lee, J., Kim, J., and Song, C. H.: A comparison study between model-predicted and OMI-retrieved tropospheric NO2 columns over the Korean peninsula, Atmos. Environ., 45, 2962–2971, 2010.; Hanna, S. R., Lu, Z., Frey, H. C., Wheeler, N., Vukovich, J., Arunachalam, S., Fernau, M., and Hansen, D. A.: Uncertainties in predicted ozone concentrations due to input uncertainties for the UAM-V photochemica


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