References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-9-6611-2009

The impact of MM5 and WRF meteorology over complex terrain on CHIMERE model calculations

de Meij

¹ ⁵ Gzella

¹ Cuvelier

¹ Thunis

¹ Bessagnet

² Vinuesa

J. F.

¹ Menut

³ Kelder

H. M.

⁴

European Commission – DG Joint Research Centre, Institute for Environment and Sustainability, 21020 Ispra, Italy

INERIS, Institut National de l'Environnement industriel et des Risques, Parc Technologique ALATA, 60550 Verneuil-en-Halatte, France

Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, Ecole Polytechnique, Palaiseau, France

Department of Applied Physics, Eindhoven University of Technology, Eindhoven, The Netherlands

now at: Energy, Environment and Water Research Centre, The Cyprus Institute, 20 Kavafi Street, 1645, Nicosia, Cyprus

11 09 2009

9 17 6611 6632

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.html

The full text article is available as a PDF file from http://www.atmos-chem-phys.net/9/6611/2009/acp-9-6611-2009.pdf

The objective of this study is to evaluate the impact of meteorological input data on calculated gas and aerosol concentrations. We use two different meteorological models (MM5 and WRF) together with the chemistry transport model CHIMERE. We focus on the Po valley area (Italy) for January and June 2005. Firstly we evaluate the meteorological parameters with observations. The analysis shows that the performance of both models in calculating surface parameters is similar, however differences are still observed. Secondly, we analyze the impact of using MM5 and WRF on calculated PM10 and O3 concentrations. In general CHIMERE/MM5 and CHIMERE/WRF underestimate the PMv concentrations for January. The difference in PM10 concentrations for January between CHIMERE/MM5 and CHIMERE/WRF is around a factor 1.6 (PM10 higher for CHIMERE/MM5). This difference and the larger underestimation in PM10 concentrations by CHIMERE/WRF are related to the differences in heat fluxes and the resulting PBL heights calculated by WRF. In general the PBL height by WRF meteorology is a factor 2.8 higher at noon in January than calculated by MM5. This study showed that the difference in microphysics scheme has an impact on the profile of cloud liquid water (CLW) calculated by the meteorological driver and therefore on the production of SO4 aerosol. A sensitivity analysis shows that changing the Noah Land Surface Model (LSM) in our WRF pre-processing for the 5-layer soil temperature model, calculated monthly mean PMv concentrations increase by 30%, due to the change in the heat fluxes and the resulting PBL heights. For June, PM10 calculated concentrations by CHIMERE/MM5 and CHIMERE/WRF are similar and agree with the observations. Calculated O3 values for June are in general overestimated by a factor 1.3 by CHIMERE/MM5 and CHIMERE/WRF. High temporal correlations are found between modeled and observed O3 concentrations.

References 1

Baertsch-Ritter, N., Prevot, A. S. H., Dommen, J., Andreani-Aksoyoglu, S., and Keller, J.: Model study with UAM-Vin the Milan area (I) during PIPAPO: simulations with changed emissions compared to ground and airborne measurements, Atmos. Environ., 37, 4133–4147, 2003.

Baertsch-Ritter, N., Keller, J., Dommen, J., and Prevot, A. S. H.: Effects of various meteorological conditions and spatial emissionresolutions on the ozone concentration and ROG/NOx limitationin the Milan area (I), Atmos. Chem. Phys., 4, 423–438, 2004.

Barna, M. and Lamb, B.: Improving ozone modeling in regions of complex terrain using observational nudging in a prognostic meteorological model, Atmos. Environ., 34, 4889–4906, 2000.

Bessagnet, B., Hodzic, A., Vautard, R., Beekman, M., Cheinet, S., Honeré, C., Liousse, C., and Rouil, L.: Aerosol modeling with CHIMERE – preliminary evaluation at the continental scale, Atmos. Environ., 38, 2803–2817, 2004.

Carvalho, A. C., Carvalho, A., Gelpi, I., Barreiro, M., Borrego, C., Miranda, A. I., and Pérez-Muñuzuri, V.: Influence of topography and land use on pollutants dispersion in the Atlantic coast of Iberian Peninsula, Atmos. Environ., 40, 3969–3982, 2006.

Chen, F. and Dudhia, J.: Coupling an advanced landsurface/ hydrologymodel with the Penn State/NCAR MM5 modeling system. Part I: Model description and implementation, Mon. Weather Rev., 129, 569–585, 2001.

Colella, P. and Woodward, P. R.: The Piecewise Parabolic Method (PPM) for Gas-Dynamical Simulations, J. Comp. Phys., 54, 174–201, 1984.

Cuvelier, C., Thunis, P., Vautard, R., Amann, M., Bessagnet, B., Bedogni, M., Berkowicz, R., Brocheton, F., Builtjes, P., Denby, B., Douros, G., Graf, A., Honoré, C., Jonson, J., Kerschbaumer, A., de Leeuw, F., Moussiopoulos, N., Philippe, C., Pirovano, G., Rouil, L., Schaap, M., Stern, R., Tarrason, L., Vignati, E., Volta, L., White, L., Wind, P., and Zuber, A.: CityDelta: a model intercomparison study to explore the impact of emission reductions in European cities in 2010, Atmos. Environ., 41, 189–207, doi:10.1016/j.atmosenv.2006.07.036, 2007.

De Meij, A., Krol, M., Dentener, F., Vignati, E., Cuvelier, C., and Thunis, P.: The sensitivity of aerosol in Europe to two different emission inventories and temporal distribution of emissions, Atmos. Chem. Phys., 6, 4287–4309, 2006.

De Meij, A., Wagner, S., Gobron, N., Thunis, P., Cuvelier C., and Dentener, F.: Model evaluation and scale issues in chemical and optical aerosol properties over the greater Milan area (Italy), for June 2001, Atmos. Res., 85, 243–267, 2007.

Derognat, C., Beekmann, M., Baeumle, M., Martin, D., and Schmidt, H.: Effect of biogenic volatile organic compound emissions on tropospheric chemistry during the Atmospheric Pollution Over the Paris Area(ESQUIF) campaign in the Ile-de-France region, J. Geophys. Res., 108(D17), 8560, doi:10.1029/2001JD001421, 2003.

Dosio, A., Galmarini, S., and Graziani, G.: Simulation of the circulation and related photochemical ozone dispersion in the Po plains (northern Italy): comparison with the observations of a measuring campaign, J. Geophys Res., 107(D18), 8189, doi:10.1029/2000JD000046, 2002.

Dudhia, J.: Numerical study of convection observed during the winter monsoon experiment 10 using a mesoscale two–dimensional model, J. Atmos. Sci., 46, 3077–3107, 1989.

Dudhia, J.: A multi-layer soil temperature model For MM5. Preprints, The 6th PSU/NCAR Mesocale Model MM5 Users Workshop, Boulder, CO, 1996.

Easter, R. C. and Peters, L. K.: Binary Homogeneous Nucleation: Temperature and Relative Humidity Fluctuations, Nonlinearity, and Aspects of New Particle Production in the Atmosphere, J. Appl. Meteorol., 33, 775–784,1994

Fuchs, N. A.: The mechanics of aerosols, Pergamon Press, London, 1964.

Ginoux, P., Chin, M., Tegen, I., Prospero, J. M., Holben, B., Dubovik, O., and Lin, S.-J.: Sources and distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res., 106, 20255–20273, 2001.

Ginoux, P., Prospero, J. M., Torres, O., and Chin, M.: Longterm simulation of dust distribution with the GOCART model: Correlation with the North Atlantic Oscillation., Environ. Model. S., 19, 113–128, 2004.

Goeber, M. and Milton, S.: On the use of radar data to verify Mesoscale Model precipitation forecasts, Report of the SRNWP workshop on mesoscale verification 2001, pp. 18–27, 2002a.

Grell, G. A., Dudhia, J., and Stauffer, D. R.: A description of the fifth-generation Penn State/NCAR mesoscale model (MM5), NCAR Tech. Note TN-398+STR, 122 pp, 1994.

Grosjean, D. and Seinfeld, J. H.: Parameterization of the formation potential of secondary organic aerosols, Atmos. Environ., 23, 1733–1747, 1989.

Guelle, W., Balkanski, Y. J., Dibb, J. E., Schulz, M., and Dulac, F.: Wet deposition in a global size-dependent aerosol transport model. 2. Influence of the scavenging scheme on 210Pb vertical profiles, surface concentrations, and deposition, J. Geophys. Res., 103(D22), 28875–28891, 1998.

Guerrero, P. J., Jorba, O., Baldasano, J. M., and Gasso, S.: The use of a modelling system as a tool for air quality management: Annual high-resolution simulations and evaluation, Sci. Tot. Environ., 390, 323–340, 2008.

Haywood, J. M. and Ramaswamy, V.: Global sensitivity studies of the direct radiative forcing due to anthropogenic sulfate and black carbon aerosols, J. Geophys. Res., 103, 6043–6058, 1998.

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.

Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather Rev., 134, 2318–2341, 2006.

Hong, S. Y. and Lim, J. O. J.: The WRF single-moment 6-class microphysics scheme (WSM6), J. Korean Meteor. Soc., 42, 129–151, 2006.

Hong, S. Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather Rev., 134(9), 2318–2341, 2006.

Hongisto, M.: Uncertainties in the meteorological input of the chemistry-transport models and some examples of their consequences, Int. J. Environ. Pollut., 24 (1/2/3/4), pp. 127–153, 2005.

Horowitz, L. W., Walters, S., Mauzerall, D. L., Emmons, L. K., Rasch, P. J., Granier, C., Tie, X., Lamarque, J.-F., Schultz, M. G., Tyndall, G. S., Orlando, J. J., and Brasseur, G. P.: A global simulation of tropospheric ozone and related tracers: description and evaluation of MOZART, Version 2, J. Geophys. Res., 108(D24), 4784, doi:10.1029/2002JD002853, 2003.

Hov, O., Stordal, F., and Eliassen, A.: Photochemical oxidant control strategies in Europe: a 19 days case study using a Lagrangian model with chemistry, vol. TR5/95, NILU, 1985.

Jeuken, A.: Evaluation of chemistry and climate models using measurements and data assimilation, PhD thesis, Eindhoven University of Technology, 2000.

Kasibhatla, P., Chameides, W. L., and John, J. S.: A three-dimensional global model investigation of seasonal variations in the atmospheric burden of anthropogenic sulphate aerosols, J. Geophys. Res., 102, 3737–3759, 1997.

Kaufman, Y. J., Tanré, D., and Boucher, O.: A satellite view of aerosols in the climate system, Nature, 419, 215–223, 2002.

Kesarkar, A. P., Dalvi, M., Kaginalkar, A., and Ojha, A.: Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM$_10$ dispersion over Pune, India, Atmospheric Environment 41, 1976–1988, 2007.

Kulmala, M., Laaksonen, A., and Pirjola, L.: Parameterization for sulfuric acid/water nucleation rates, J. Geophys. Res., 103(D7), 8301–8307, 1998.

Lattuati, M.: Contribution à l'étude du bilan de l'ozone troposphérique à l'interface de l'Europe et de l'Atlantique Nord: modélisation lagrangienne et mesures en altitude, Thèse de sciences, Université Paris 6, France, 1997.

Lanz, V. A., Rami Alfarra, M., Baltensperger, U., Buchmann, B., Hueglin, C., Szidat, S., Wehrli, M. N., Wacker, L., Weimer, S., Caseiro, A., Puxbaum, H., and Prevot, A. S. H.: Source Attribution of Submicron Organic Aerosols during Wintertime Inversions by Advanced Factor Analysis of Aerosol Mass Spectra, Environ. Sci. Technol., 42, 214–220, 2008.

Loon van, M., Roemer, M., and Builtjes, P.: Model intercomparison in the framework of the review of the Unified EMEP model, TNO-Report R 2004/282, 2004.

Madronich, S. and Flocke, S.: The Role of Solar Radiation in Atmospheric Chemistry, Handbook of Environmental Chemistry, 1–26, 1998.

Maffeis, G.: Establishment of a yearly gas-PM emission inventory in the great Milan area, TerrAria s.r.l., contract no. 19536-2002-06 FISC ISP IT, Milan, 2003.

Menut, L., Coll, I., and Cautenet, S.: Impact of meteorological data resolution on the forecasted ozone concentrations during the ESCOMPTE IOP 2a and 2b, Atmos. Res. – ESCOMPTE Special Issue, 74, 139–159, 2005.

Michelson, S. A. and Bao, J.-W.: Comparison of two meteorological community models for air-quality applications. 14th Joint Conference on the Applications of Air Pollution Meteorology with the Air and Waste Management Association, available at: ams.confex.com/ams/pdfpapers/104587.pdf, 2006.

Minguzzi, E., Bedogni, M., Carnevale, C., and Pirovano, G.: Sensitivity of CTM simulations to meteorological input., Int. J. Environ. Pollut., 24, 36–50, 2005.

Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave, J. Geophys. Res., 102(D14), 16663–16682, 1997.

Moshammer, H. and Neuberger, M.: The active surface of suspended particles as a predictor of lung function and pulmonary symptoms in Austrian school children, Atmos. Environ., 37, 1737–1744, 2002.

Moshammer, H. and Neuberger, M.: The active surface of suspended particles as a predictor of lung function and pulmonary symptoms in Austrian school children, Atmos. Environ., 37, 1737–1744, 2003.

Moucheron, M. C. and Milford, J.: Development and Testing of a Process Model for Secondary Organic Aerosols, Air and Waste Management Association, Nashville, 1996.

Nenes, A., Pilinis, C., and Pandis, S. N.: ISORROPIA: a new thermodynamic model for inorganic multicomponent atmospheric aerosols, Aquatic Geochemistry, 4, 123–152, 1998.

Odum, J. R., Hoffmann, T., Bowman, F., Collins, D., Flagan, R. C., and Seinfeld, J. H.: Gas/particle partitioning and secondary aerosol yield, Environ. Sci. Technol., 30, 2580–2585, 1996.

Odum, J. R., Jungkamp, T. P. W., Griffin, R. J., Flagan, R. C., and Seinfeld, J. H.: The atmospheric aerosol-forming potential of whole gasoline vapour, Science, 276, 96–99, 1997.

Pandis, S. N. and Seinfeld, J. H.: Sensitivity analusis of a chemical mechanism for aqueous-phase atmospheric chemistry, J. Geophys. Res., 94, 1105–1126, 1989.

Pankow, J. F.: An absorption model of gas/particle partitioning of organic compounds in the atmosphere, Atmos. Environ., 28, 185–188, 1994.

Pankow, J. F., Seinfeld, J. H., Asher, W. E., and Erdakos, G. B.: Modeling the formation of secondary organic aerosol. 1. Application of theoretical principles to measurements obtained in the a-pinene/, b-pinene/, sabinene, D3-carene/, and cyclohexene/ozone systems, Environ. Sci. Technol., 35, 1164–1172, 2001.

Penner, J. E., Chuang, C. C., and Grant, K.: Climate forcing by carbonaceous and sulfate aerosols, Clim. Dynam. 14, 839–851, 1998.

Pirovano, G., Coll, I., Bedogni, M., Alessandrini, S., Costa, M. P., Gabusi, V,. Lasry, F., Menut, L., and Vautard, R.: On the influence of meteorological input on photochemical modelling of a severe episode over a costal area, Atmos. Environ., 41, 6445–6464, doi:10.1016/j/atmosenv.2007.04.001, 2007.

Robinson, A. L., Donahue, N. M., Shrivastava, M. K., Weitkamp, E. A., Sage, A. M., Grieshop, A. P., Lane, T. E., Pierce, J. R., and Pandis, S. N.: Rethinking Organic Aerosols: Semivolatile Emissions and Photochemical Aging, Science, 315, 1259–1262, 2007.

Schaap, M.: On the importance of aerosol nitrate in Europe, Data analysis and modelling, Ph.D. thesis, University of Utrecht, http://www.library.uu.nl/digiarchief/dip/diss/2003-1209-110044/inhoud.htm, 2003.

Schaap, M., van Loon, M., ten Brink, H. M., Dentener, F. J., and Builtjes, P. J. H.: Secondary inorganic aerosol simulations for Europe with special attention to nitrate, Atmos. Chem. Phys., 4, 857–874, 2004a.

Schaap, M., Denier van der Gon, H. A. C., Visschedijk, A. J. H., Van Loon, M., ten Brink, H. M., Dentener, F. J., Putaud, J.-P., Guillaume, B., Liousse, C., and Builtjes, P. J. H.: Anthropogenic black carbon and fine aerosol distribution over Europe, J. Geophys. Res., 109, D18201, doi:10.1029/2003JD004330, 2004b.

Schaap, M., Vautard, R., Bergström, R., van Loon, M., Bessagnet, B., Brandt, J., Christensen, J., Cuvelier, K., Foltescu, V., Graff, A., Jonson, J., Kerschbaumer, A., Krol, M., Langner, J., Roberts, P., Rouil, L., Stern, R., Tarrason, L., Thunis, P., Vignati, E., White, L., Wind, P., and Builtjes, P.: Evaluation of long term aerosol simulations from seven regional air quality models and their ensemble in the EURODELTA study, Atmos. Environ., 41, 2083–2097, 2007.

Schell, B., Ackermann, I. J., Hass, H., Binkowski, F. S., and Ebel, A.: Modeling the formation of secondary organic aerosol within a comprehensive air quality model system, J. Geophys. Res., 106(D22), 28275–28293, 2001.

Schmidt, H., Derognat, C., Vautard, R., and Beekmann, M.: A comparison of simulated and observed ozone mixing ratios for the summer of 1998 in Western Europe, Atmos. Environ., 35(36), 6277–6297, 2001.

Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics, Wiley, New York, 1998.

Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W., Powers, J. G.: A Description of the Advanced Research WRF Version 2., NCAR Technical Note 468+STR, Mesoscale and Microscale Meteorology Division, NCAR, Boulder, Colorado, USA, June 2005.

Stephenson, D. B.: Use of the "odds ratio" for diagnosing forecast skill., Wea. Forecasting, 15, 221–232, 2000.

Stern, R., Builtjes, P., Schaap, M., Timmermans, R., Vautard, R., Hodzic, A., Memmesheimer, M., Feldmann, H., Renner, E., Wolke, R., and Kerschbaumer, A.: A model inter-comparison study focussing on episodes with elevated PM$_10$ concentrations, Atmos. Environ., 42(19), 4567–4588, 2008.

Stull, R.: An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, 1988.

Soong, S.-T., Martien, P. T., Archer, C. L., Tanrikulu, S., Wilczak, J. M., Bao, J.-W., Michelson, S. A., Jia, Y., and Emery, C. A.: Comparison of WRF/CAMx and MM5/CAMx simulations for an ozone episode in California, Eighth Conference on Atmospheric Chemistry, Atlanta, Georgia, 29 January–2 February 2006.

Taylor, K. E.: Summarizing multiple aspects of model performance in a single diagram, J. Geophys. Res., 106, 7183–7192, 2001.

Thunis, P., Rouil, L., Cuvelier, C., Bessagnet, B., Builtjes, P., Douros, J., Kerschbaumer, A., Pirovano, G., Schaap, M., Stern, R., and Tarrason, L.: Analysis of large and fine scale model responss to emission-reduction scenarios within the CityDelta project, Atmos. Environ., 41(10), 2083–2097, 2007.

Troen, I. and Mahrt, L.: A simple model of the atmospheric boundary layer: Sensitivity to surface evaporation, Bound.-Lay. Meteorol., 37, 129–148, 1986.

Tsyro, S.: First estimates of the effect of aerosol dynamics in the calculation of PM$_10$ and PM$_2.5$, EMEP Report (http://www.emep.int), 2002.

Vautard, R., Builtjes, P., Thunis, P., Cuvelier, K., Bedogni, M., Bessagnet, B., Honore', C., Moussiopoulos, N., Schaap, M., Stern, R., Tarrason, L., and van Loon, M.: Evaluation and intercomparison of Ozone and PM$_10$ simulations by several chemistry-transport models over 4 European cities within the City-Delta project, Atmos. Environ., 41, 173–188, 2007.

Wesely, M. L.: Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models, Atmos. Environ., 23, 1293–1304, 1989.

West, J. J., Pilinis, C., Nenes, A., and Pandis, S. N.: Marginal direct climate forcing by atmospheric aerosols, Atmos. Environ., 32, 2531–2542, 1998.

Zhong, S., In, H., and Clements, C.: Impact of turbulence, land surface, and radiation parameterizations on simulated boundary layer properties in a coastal environment, J. Geophys. Res., 112, D13110, doi:10.1029/2006JD008274, 2007.