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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics Discussions</journal_title>
		<journal_url>www.atmos-chem-phys-discuss.net</journal_url>
		<issn>1680-7367</issn>
		<eissn>1680-7375</eissn>
		<volume_number>10</volume_number>
		<issue_number>2</issue_number>
		<publication_year>2010</publication_year>
	</journal>
	<doi>10.5194/acpd-10-3229-2010</doi>
	<article_url>http://www.atmos-chem-phys-discuss.net/10/3229/2010/</article_url>
	<abstract_html>http://www.atmos-chem-phys-discuss.net/10/3229/2010/acpd-10-3229-2010.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys-discuss.net/10/3229/2010/acpd-10-3229-2010.pdf</fulltext_pdf>
	<start_page>3229</start_page>
	<end_page>3263</end_page>
	<publication_date>2010-02-05</publication_date>
	<article_title content_type="html">Ozone predictabilities due to meteorological uncertainties in Mexico City basin using ensemble forecasts</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>N. Bei</name>
			<email>bnf@mce2.org</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>W. Lei</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>M. Zavala</name>
		</author>
		<author numeration="4" affiliations="1,2">
			<name>L. T. Molina</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Molina Center for Energy and the Environment, La Jolla, CA, USA</affiliation>
		<affiliation numeration="2" content_type="html">Department of Earth, Atmospheric and Planetary Sciences, Massachusetts  Institute of Technology, Cambridge, MA, USA</affiliation>
	</affiliations>
	<abstract content_type="html">The purpose of the present study is to investigate the sensitivity of
      ozone concentration ([O&lt;sub&gt;3&lt;/sub&gt;]) predictions in Mexico City to
      meteorological initial uncertainties and planetary boundary layer
      (PBL) parameterization schemes using state-of-the-art meteorological
      and photochemical prediction models through ensemble forecasts. The
      simulated periods (3, 9, 15, and 29 March 2006), represent four typical
      meteorological episodes (&amp;quot;South-Venting&amp;quot;,
&amp;quot;O&lt;sub&gt;3&lt;/sub&gt;-North&amp;quot;, &amp;quot;O&lt;sub&gt;3&lt;/sub&gt;-South&amp;quot; and
&amp;quot;Convection-North&amp;quot;, respectively) in the Mexico City basin during
      the MCMA-2006/MILAGRO campaign. Our results demonstrate that
      uncertainties in meteorological initial conditions have significant
      impacts on O&lt;sub&gt;3&lt;/sub&gt; predictions, including the peak time
      [O&lt;sub&gt;3&lt;/sub&gt;], as well as the horizontal and vertical [O&lt;sub&gt;3&lt;/sub&gt;]
      distributions, and temporal variations. The ensemble spread of the
      simulated peak [O&lt;sub&gt;3&lt;/sub&gt;] averaged over the city&apos;s ambient
      monitoring sites can reach up to 10 ppb. The magnitude of the
      ensemble spreads varies with different PBL schemes and meteorological
      episodes. The uncertainties in O&lt;sub&gt;3&lt;/sub&gt; predictions caused by PBL
      schemes mainly come from their ability to represent the mixing layer
      height, but overall, these uncertainties are smaller than those from
      uncertainties in meteorological initial conditions.</abstract>
	<references>
		<reference numeration="1" content_type="text"> Anthes,~R A., Kuo,~Y H., Baumhefner,~D P., Eriico,~R P., and Bettge,~T W.: Predictability of mesoscale of atmospheric motions, Adv. Geophys., 28B, 159–202, 1985. </reference>
		<reference numeration="2" content_type="text"> Alapaty,~K., Raman,~S., and Madala,~R V.: Investigation of the role of the boundary layer processes in an active monsoon using a~mesoscale model, Bound.-Lay. Meteorol., 67, 407–426, 1994. </reference>
		<reference numeration="3" content_type="text"> Barker,~D M., Huang,~W., Guo,~Y.-R., Bourgeois,~A J., and Xiao,~Q N.: A~three-dimensional variational data assimilation system for MM5: implementation and initial results, Mon. Weather Rev., 132, 897–914, 2004. </reference>
		<reference numeration="4" content_type="text"> Barker,~D M.: Southern high-latitude ensemble data assimilation in the Antarctic mesoscale prediction system, Mon. Weather Rev., 133, 3431–3449, 2005. </reference>
		<reference numeration="5" content_type="text"> Bei,~N. and Zhang,~F.: Impacts of initial condition errors on mesoscale predictability of heavy precipitation along the Mei-Yu front of China, Q. J. Roy. Meteor. Soc., 133, 83–99, 2007. </reference>
		<reference numeration="6" content_type="text"> Bei,~N., de Foy,~B., Lei,~W., Zavala,~M., and Molina,~L T.: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys., 8, 7353–7366, 2008. </reference>
		<reference numeration="7" content_type="text"> Bossert,~J E.: An investigation of flow regimes affecting the Mexico City region, J. Appl. Meteorol., 36, 119–140, 1997. </reference>
		<reference numeration="8" content_type="text"> Buizza,~R., Tribbia,~J., Molteni,~F., and Palmer,~T.: Computation of optimal unstable structures for a~numerical weather prediction model, Tellus, 45A, 388–407, 1993. </reference>
		<reference numeration="9" content_type="text"> Buizza,~R.: Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system, Mon. Weather Rev., 125, 99–119, 1997. </reference>
		<reference numeration="10" content_type="text"> Dabberdt,~W F., Carroll, M. A., Baumgardner, D., et~al.: Meteorological research needs for improved air quality forecasting: Report of the 11th Prospectus Development Team of the US Weather Research Program, technical report, Natl. Cent. For Atmos. Res., Boulder, CO, 2003. </reference>
		<reference numeration="11" content_type="text"> de Foy,~B., Caetano,~E., Magaña,~V., Zitácuaro,~A., Cárdenas,~B., Retama,~A., Ramos,~R., Molina,~L T., and Molina,~M J.: Mexico City basin wind circulation during the MCMA-2003 field campaign, Atmos. Chem. Phys., 5, 2267–2288, 2005. </reference>
		<reference numeration="12" content_type="text"> de Foy,~B., Clappier,~A., Molina,~L T., and Molina,~M J.: Distinct wind convergence patterns in the Mexico City basin due to the interaction of the gap winds with the synoptic flow, Atmos. Chem. Phys., 6, 1249–1265, 2006a. </reference>
		<reference numeration="13" content_type="text"> de Foy,~B., Varela,~J R., Molina,~L T., and Molina,~M J.: Rapid ventilation of the Mexico City basin and regional fate of the urban plume, Atmos. Chem. Phys., 6, 2321–2335, 2006b. </reference>
		<reference numeration="14" content_type="text"> de Foy,~B., Fast,~J D., Paech,~S J., Phillips,~D., Walters,~J T., Coulter,~R L., Martin,~T J., Pekour,~M S., Shaw,~W J., Kastendeuch,~P P., Marley,~N A., Retama,~A., and Molina,~L T.: Basin-scale wind transport during the MILAGRO field campaign and comparison to climatology using cluster analysis, Atmos. Chem. Phys., 8, 1209–1224, 2008. </reference>
		<reference numeration="15" content_type="text"> Delle Monache,~L. and Stull,~R.: An ensemble air quality forecast over western Europe during an ozone forecast, Atmos. Environ., 37, 3469–3474, 2003. </reference>
		<reference numeration="16" content_type="text"> Delle Monache,~L., Deng,~X., Zhou,~Y., and Stull,~R.: Ozone ensemble forecasts: 1: A~new ensemble design, J. Geophys. Res., 111, D05307, \doi10.1029/2005JD006310, 2006a. </reference>
		<reference numeration="17" content_type="text"> Delle Monache,~L., Nipen,~T., Deng,~X., Zhou,~Y., and Stull,~R.: Ozone ensemble forecasts: 2: a~Kalman-filter predictor bias correction, J. Geophys. Res., 111, D05038, \doi10.1029/2005JD006311, 2006b. </reference>
		<reference numeration="18" content_type="text"> Doran,~J C. and Zhong,~S.: Thermally driven gap winds into the Mexico City basin, J. Appl. Meteorol., 39, 1330–1340, 2000. </reference>
		<reference numeration="19" content_type="text"> ENVIRON International Corporation: Users Guide to the Comprehensive Air Quality. Model with Extensions (CAMx) version 4.40, available at: http://www.camx.com, 2006. </reference>
		<reference numeration="20" content_type="text"> Errico,~R M. and Baumhefner,~D P.: Predictability experiments using a~high-resolution limited-area model, Mon. Weather Rev., 115, 488–504, 1987. </reference>
		<reference numeration="21" content_type="text"> Fast,~J D. and Zhong,~S.: Meteorological factors associated with inhomogeneous s within the Mexico City basin, J. Geophys. Res., 103, 18927–18946, 1998. </reference>
		<reference numeration="22" content_type="text"> Fast,~J D., de Foy,~B., Acevedo Rosas,~F., Caetano,~E., Carmichael,~G., Emmons,~L., McKenna,~D., Mena,~M., Skamarock,~W., Tie,~X., Coulter,~R L., Barnard,~J C., Wiedinmyer,~C., and Madronich,~S.: A~meteorological overview of the MILAGRO field campaigns, Atmos. Chem. Phys., 7, 2233–2257, 2007. </reference>
		<reference numeration="23" content_type="text"> Galmarini,~S., Bianconi, R., Addis, R., et~al.: Ensemble dispersion forecasting – Part I: Concept, approach and indicators, Atmos. Environ., 38, 4607–4617, 2004a. </reference>
		<reference numeration="24" content_type="text"> Galmarini,~S., Bianconi, R., Klug, W., et~al.: Ensemble dispersion forecasting – Part II: Application and evaluations, Atmos. Environ., 38, 4619–4632, 2004b. </reference>
		<reference numeration="25" content_type="text"> Hanna,~S R., Lu,~Z G., 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 photochemical grid model applied to the July 1995 OTAG domain, Atmos. Environ., 35, 891–903, 2001. </reference>
		<reference numeration="26" content_type="text"> Hong,~S Y. and Pan,~H.-L.: Nonlocal boundary layer vertical diffusion in a~medium-range forecast model, Mon. Weather Rev., 124, 2322–2339, 1996. </reference>
		<reference numeration="27" content_type="text"> Hong,~S Y., Dudhia,~J., and Chen,~S H.: A~revised approach to ice microphical processes for the bulk parameterization of clouds and precipitation, Mon. Weather Rev., 132, 103–120, 2004. </reference>
		<reference numeration="28" content_type="text"> Hou,~D., Kalnay,~E., and Droegemeier,~K K.: Objective verification of the SAMEX&apos;98 ensemble forecasts, Mon. Weather Rev., 129, 73–91, 2001. </reference>
		<reference numeration="29" content_type="text"> Houtekamer,~P L. and Lefaivre,~L.: Using ensemble forecasts for model validation, Mon. Weather Rev. 125, 2416–2426, 1997. </reference>
		<reference numeration="30" content_type="text"> Janji\&apos;c,~Z I.: Nonsingular implementation of the Mellor–Yamada level 2.5 scheme in the NCEP Meso Model. NCEP Office Note, 437, 61~pp., 2002. </reference>
		<reference numeration="31" content_type="text"> Jauregui,~E.: Heat island development in Mexico City, Atmos. Environ., 31, 3821–3831, 1997. </reference>
		<reference numeration="32" content_type="text"> Jazcilevich,~A D., Garcia,~A R., and Ruiz-Suarez,~L G.: A~study of air flow patterns affecting pollutant concentrations in the Central Region of Mexico, Atmos. Environ., 37, 183–193, 2003. </reference>
		<reference numeration="33" content_type="text"> Kain,~J S. and Fritsch,~J M.: Convective parameterization for mesoscale models: The Kain–Fritsch scheme. The representation of cumulus convection in numerical models, Meteor. Mon., 46, 165–170, 1993. </reference>
		<reference numeration="34" content_type="text"> Kalnay,~E.: Atmospheric Modeling, Data Assimilation and Predictability, Cambridge Univ. Press, New York, 341~pp., 2003. </reference>
		<reference numeration="35" content_type="text"> Lei,~W., de Foy,~B., Zavala,~M., Volkamer,~R., and Molina,~L T.: Characterizing ozone production in the Mexico City Metropolitan Area: a case study using a~chemical transport model, Atmos. Chem. Phys., 7, 1347–1366, 2007. </reference>
		<reference numeration="36" content_type="text"> Lei,~W., Zavala,~M., de Foy,~B., Volkamer,~R., and Molina,~L T.: Characterizing ozone production and response under different meteorological conditions in Mexico City, Atmos. Chem. Phys., 8, 7571–7581, 2008. </reference>
		<reference numeration="37" content_type="text"> Leith,~C E. and Kraichnan,~R H.: Predictability of turbulent flows, J. Atmos. Sci., 29, 1041–1058, 1972. </reference>
		<reference numeration="38" content_type="text"> Leith,~C E.: Theoretical skill of Monte Carlo forecasts, Mon. Weather Rev., 102, 409–418, 1974. </reference>
		<reference numeration="39" content_type="text"> Lorenz,~E N.: The predictability of a~flow which possesses many scales of motion, Tellus, 21, 289–307, 1969. </reference>
		<reference numeration="40" content_type="text"> Mallet,~V. and Sportisse,~B.: Uncertainty in a~chemistry-transport model due to physical parameterizations and numerical approximations: an ensemble approach applied to ozone modeling, J. Geophys. Res., 111, D01302, \doi10.1029/2005JD006149, 2006. </reference>
		<reference numeration="41" content_type="text"> Mao,~Q., Gautney,~L L., Cook,~T M., Jacobs,~M E., Smith,~S N., and Kelsoe,~J J.: Numerical experiments on MM5-CMAQ sensitivity to various PBL schemes, Atmos. Environ., 40, 3092–3110, 2006. </reference>
		<reference numeration="42" content_type="text"> McKeen,~S A., Wilczak, J., Grell, G., et~al.: Assessment of an ensemble of seven real-time ozone forecast over eastern North America during the summer of 2004, J. Geophys. Res., 110, D21307, \doi10.1029/2005JD005858, 2005. </reference>
		<reference numeration="43" content_type="text"> Meng,~Z. and Zhang,~F.: Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part III: Comparison with 3DVAR in a~real-data case study, Mon. Weather Rev., 136, 522–540, 2008. </reference>
		<reference numeration="44" content_type="text"> Molina,~L T. and Molina,~M J. (Eds.): Air Quality in the Mexico Megacity: An Integrated Assessment, Kluwer Academic Publishers, 137–212, 2002. </reference>
		<reference numeration="45" content_type="text"> Molina,~L T., Kolb,~C E., de Foy,~B., Lamb,~B K., Brune,~W H., Jimenez,~J L., Ramos-Villegas,~R., Sarmiento,~J., Paramo-Figueroa,~V H., Cardenas,~B., Gutierrez-Avedoy,~V., and Molina,~M J.: Air quality in North America&apos;s most populous city – overview of the MCMA-2003 campaign, Atmos. Chem. Phys., 7, 2447–2473, 2007. </reference>
		<reference numeration="46" content_type="text"> Molina,~L T., Madronich,~S., Gaffney,~J S., and Singh,~H B.: Overview of MILAGRO$/$INTEX-B campaign, in IGACtivities Newsletter of the International Global Atmospheric Chemistry Project, 38, 2–15 April 2008. </reference>
		<reference numeration="47" content_type="text"> Molteni,~F., Buizza,~R., Palmer,~T N., and Petroliagis,~T.: The new ECMWF ensemble prediction system: Methodology and validation, Q. J. Roy. Meteor. Soc., 122, 73–119, 1996. </reference>
		<reference numeration="48" content_type="text"> Mullen,~S L. and Buizza,~R., The impact of horizontal resolution and ensemble size on probabilistic forecasts of precipitation by the ECMWF Ensemble Prediction System, Weather Forecast., 17, 173–191, 2002. </reference>
		<reference numeration="49" content_type="text"> Nielsen-Gammon,~J W., McNider,~R T., Angevine,~W M., White,~A B., and Knupp,~K.: Mesoscale model performance with assimilation of wind profiler data: Sensitivity to assimilation parameters and network configuration, J. Geophys. Res., 112, D09119, \doi10.1029/2006JD007633, 2007. </reference>
		<reference numeration="50" content_type="text"> Noh,~Y., Cheon,~W.-G., Hong,~S.-Y., and Raasch,~S.: Improvement of the K-profile model for the planetary boundary layer based on large eddy simulation data, Bound.-Lay. Meteorol., 107, 401–427, 2003. </reference>
		<reference numeration="51" content_type="text"> Pagowski,~M., Grell, G. A., Mckeen, S. A., et~al.: A~simple method to improve ensemble-based ozone forecasts, Geophys. Res. Lett., 32, L07814, \doi10.1029/2004GL022305, 2005. </reference>
		<reference numeration="52" content_type="text"> Parrish,~D F. and Derber,~J C.: The National Meteorological Center&apos;s spectral statistical-interpolation analysis system, Mon. Weather Rev., 120, 1747–1763, 1992. </reference>
		<reference numeration="53" content_type="text"> Pielke,~R A. and Uliasz,~M.: Use of meteorological models as input to regional and mesoscale air quality models – limitations and strengths, Atmos. Environ., 32, 1455–1466, 1998. </reference>
		<reference numeration="54" content_type="text"> Skamarock,~W C.: Evaluating Mesoscale NWP models using kinetic energy spectra, Mon. Weather Rev., 132, 3019–3032, 2004. </reference>
		<reference numeration="55" content_type="text"> Skamarock,~W C., Klemp,~J B., Dudhia,~J., Gill,~D O., Barker,~D M., Wang,~W., and Powers,~J G.: A~description of the advanced research WRF version 2, NCAR Technical Note, NCAR/TN-468+STR, 8~pp., 2005. </reference>
		<reference numeration="56" content_type="text"> Seaman,~N L.: Meteorological modeling for air-quality assessments, Atmos. Environ., 34, 2231–2259, 2000. </reference>
		<reference numeration="57" content_type="text"> Secretaria del Medio Ambiente del Distrito Federal (SMA-DF): Inventario de Emisiones 2006 de la Zona Metropolitana del Valle de México, México, 2008. </reference>
		<reference numeration="58" content_type="text"> Song,~J., Lei,~W., Bei,~N., Zavala,~M., de Foy,~B., Volkamer,~R., Cardenas,~B., Zheng,~J., Zhang,~R., and Molina,~L T.: Ozone response to emission changes: a modeling study during the MCMA-2006$/$MILAGRO campaign, Atmos. Chem. Phys. Discuss., 9, 23419–23463, 2009. </reference>
		<reference numeration="59" content_type="text"> Stensrud,~D J., Bao,~J.-W., and Warner,~T T.: Ensemble forecasting of mesoscale convective systems, paper presented at 12th Conference on Numerical Weather Prediction, Am. Meteorol. Soc., Phoenix, AZ, 11–16 January 1998. </reference>
		<reference numeration="60" content_type="text"> Streit,~G E. and Guzman,~F.: Mexico City air quality: progress of an international collaborative project to define air quality management options, Atmos. Environ., 30, 723–733, 1996. </reference>
		<reference numeration="61" content_type="text"> Thomas,~S J., Hacker,~J P., Desgagne,~M., and Stull,~R.: An enemble analysis of forecast errors related to floating point performance, Weather Forecast., 17, 898–906, 2002. </reference>
		<reference numeration="62" content_type="text"> Tie,~X., Madronich,~S., Li,~G., Ying,~Z., Zhang,~R., Garcia,~A., Lee-Taylor,~J., and Liu,~Y.: Characterization of chemical oxidants in Mexico City: A~regional chemical dynamical model (WRFChem) study, Atmos. Environ., 41, 1989–2008, 2007. </reference>
		<reference numeration="63" content_type="text"> Tribbia,~J J. and Baumhefner,~D P.: Scale interactions and atmospheric predictability: an updated perspective, Mon. Weather Rev., 132, 703–713, 2004. </reference>
		<reference numeration="64" content_type="text"> Toth,~Z. and Kalnay,~E.: Ensemble forecasting at NMC: the generation of perturbations, B. Am. Meteorol. Soc., 74, 2317–2330, 1993. </reference>
		<reference numeration="65" content_type="text"> Toth,~Z. and Kalnay,~E.: Ensemble forecasting at NCEP: the breeding method, Mon. Weather Rev., 125, 3297–3318, 1997. </reference>
		<reference numeration="66" content_type="text"> Vukicevic,~T. and Errico,~R M.: The influence of artificial and physical factors upon predictability estimates using a~complex limited-area model, Mon. Weather Rev. 118, 1460–1482, 1990. </reference>
		<reference numeration="67" content_type="text"> Wandishin,~M S., Mullen,~S L., Stensrud,~D J., and Brooks,~H E.: Evaluation of a~short-range multi-model ensemble system, Mon. Weather Rev., 129, 729–747, 2001. </reference>
		<reference numeration="68" content_type="text"> Wellens,~A., Moussiopoulos,~N., Sahm,~P.: Comparisons of a~diagnostic model and MEMO progrognostic model to calculate wind fields in Mexico City, in: Second International Conference on Air Pollution, Computational Mechanics Publ., Barcelona, Spain, 27–28, 1994. </reference>
		<reference numeration="69" content_type="text"> Williams,~M D., Brown,~M J., Cruz,~X., Sosa,~G., and Streit,~G.: Development and testing of meteorology and air dispersion models for Mexico City, Atmos. Environ., 29, 2929–2960, 1995. </reference>
		<reference numeration="70" content_type="text"> Zhang,~F., Bei,~N., Nielsen-Gammon,~J W., Li,~G., Zhang,~R., Stuart,~A L., and Aksoy,~A.: Impacts of meteorological uncertainties on ozone pollution predictability estimated through meteorological and photochemical ensemble forecasts, J. Geophys. Res., 112, D04304, \doi10.1029/2006JD007429, 2007. </reference>
		<reference numeration="71" content_type="text"> Zhang,~F., Snyder,~C., and Rotunno,~R.: Mesoscale predictability of the \squtsurprise 24–25 January 2000 snowstorm, Mon. Weather Rev., 130, 1617–1632, 2002. </reference>
		<reference numeration="72" content_type="text"> Zhang,~F., Snyder,~C., and Rotunno,~R.: Effects of moist convection on mesoscale predictability, J. Atmos. Sci., 60, 1173–1185, 2003. </reference>
		<reference numeration="73" content_type="text"> Zhang,~F., Odins,~A M., and Nielsen-Gammon,~J W.: Mesoscale predictability of an extreme warm-season precipitation event, Weather Forecast., 21, 149–166, 2006. </reference>
	</references>
</article>

