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WRF ARW and CHIMERE models for numerical forecasting of surface ozone concentration

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Abstract

Results of joint calculations with meteorological WRF ARW model and chemistry transport CHIMERE model are considered as a basis of the modern system of the air quality assessment and forecasting. The system was designed in the Russian Hydrometeorological Center and Institute of Applied Physics of the Russian Academy of Sciences. Detailed prognostic information about the atmosphere state provided by the WRF ARW was used in the CHIMERE model for describing the air mass transport processes, chemical transformation, and pollution deposition. Results of retrieval and forecast of surface ozone concentration as one of main air quality indicators are under consideration. Calculations of ozone concentrations for different configurations of a prognostic system differ in resolution of model grid and in the way the boundary conditions are prescribed.

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References

  1. I. B. Konovalov, N. F. Elanskii, A. M. Zvyagintsev, et al., “Validation of Chemistry Transport Model of the Lower Atmosphere in the Central European Region of Russia Using Ground-based and Satellite Measurement Data,” Meteorol. Gidrol., No. 4 (2009) [Russ. Meteorol. Hydrol., No. 4, 34 (2009)].

  2. Results of Comparative Estimate of Weather Element Forecasting Success Based on Several National and Foreign Models of the Atmosphere of a Various Scale over the Period from June to September 2007, Methodological Study on Russian Hydrometcenter site http://metod.hydromet.ru/estimate/results/results.html.

  3. A. Kh. Khrgian, Atmospheric Physics (Mosk. Gos. Univ., Moscow, 1986) [in Russian].

    Google Scholar 

  4. Air Quality Guidelines. Global Update 2005 (World Health Organization (WHO), Geneva, 2006).

  5. M. E. Cope, G. D. Hess, S. Lee, et al., “The Australian Air Quality Forecasting System. Part I: Project Description and Early Outcomes,” J. Appl. Meteorol., 43 (2004).

  6. C. Cuvelier et al., “CityDelta: A Model Intercomparison Study to Explore the Impact of Emission Reductions in European Cities in 2010,” Atmos. Environ., 41 (2007).

  7. J. D. Fast, W. I. Gustafson, Jr., R. C. Easter, et al., “Evolution of Ozone, Particulates, and Aerosol Direct Forcing in an Urban Area Using a New Fully-coupled Meteorology, Chemistry, and Aerosol Model,” J. Geophys. Res., 111 (2006).

  8. J. Flemming, A. Inness, H. Flentje, et al., “Coupling Global Chemistry Transport Models to ECMWF’s Integrated Forecast System,” Geosci. Model Dev. Discuss., 2 (2009).

  9. GENEMIS (Generation of European Emission Data for Episodes) Project. EUROTRAC//Annual Report 1993, Part 5 (EUROTRAC International Scientific Secretariat, Garmisch-Partenkirchen, Germany, 1994).

  10. G. A. Grell, S. E. Peckham, R. Schmitz, et al., “Fully Coupled Online Chemistry Model within the WRF Model,” Atmos. Environ., 39 (2005).

  11. A. Hollingsworth et al., “Toward a Monitoring and Forecasting System for Atmospheric Composition: The GEMS Project,” Bull. Amer. Meteorol. Soc., 89 (2008).

  12. C. Honoré, L. Rouïl, R. Vautard, et al., “Predictability of European Air Quality: Assessment of 3 Years of Operational Forecasts and Analyses by the PREV’AIR System,” J. Geophys. Res., 113 (2008).

  13. L. Horowitz et al., “A Global Simulation of Tropospheric Ozone and Related Tracers: Description and Evaluation of MOZART, Version 2,” J. Geophys. Res., 108(D24) (2003).

  14. H. J. Jacobs, H. Feldmann, H. Hass, and M. Memmesheimer, “The Use of Nested Models for Air Pollution Studies: An Application of the EURAD Model to SANA Episode,” J. Appl. Meteorol., 34 (1995).

  15. I. B. Konovalov, M. Beekmann, R. Vautard, et al., “Comparison and Evaluation of Modelled and GOME Measurement Derived Tropospheric NO2 Columns over Western and Eastern Europe,” Atmos. Chem. Phys., 5 (2005).

  16. P. Lee, D. Kang, J. McQueen, et al., “Impact of Domain Size on Modeled Ozone Forecast for the Northeastern United States,” J. Appl. Meteorol. and Climate, 47 (2008).

  17. M. van Loon et al., “Evaluation of Long-term Ozone Simulations from Seven Regional Air Quality Models and Their Ensemble,” Atmos. Environ., 41 (2007).

  18. J. N. McHenry, W. F. Ryan, N. L. Seaman, et al., “A Real-time Eulerian Photochemical Model Forecast System: Overview and Initial Ozone Forecast Performance in the Northeast U.S. Corridor,” Bull. Amer. Meteorol. Soc., 85 (2004).

  19. A. Meij, A. Gzella, P. Thunis, et al., “The Impact of MM5 and WRF Meteorology over Complex Terrain on CHIMERE Model Calculations,” Atmos. Chem. Phys. Discuss., 9 (2009).

  20. L. Neary, J. W. Kaminski, A. Lupu, and J. C. McConnell, “Developments and Results from a Global Multiscale Air Quality Model (GEM-AQ),” Air Pollution Modeling and Its Application, XVII (2007).

  21. T. L. Otte, G. Pouliot, J. E. Pleim, et al., “Linking the Eta Model with the Community Multiscale Air Quality Forecasting System,” Weather and Forecasting, 20 (2005).

  22. L. Rouil, C. Honore, R. Vautard, et al., “PREV’AIR: An Operational Forecasting and Mapping System for Air Quality in Europe,” Bull. Amer. Meteorol. Soc., 90 (2009).

  23. W. C. Scamarock, J. B. Klemp, J. Dudhia, et al., A Description of the Advances Research WRF Version 3 (NCAR Technical Note, 2008).

  24. D. Simpson et al., “Inventorying Emissions from Nature in Europe,” J. Geophys. Res., 104 (1999).

  25. A. Stohl, E. Williams, G. Wotawa, and H. Kromp-Kolb, “A European Inventory of Soil Nitric Oxide Emissions on the Photochemical Formation of Ozone in Europe,” Atmos. Environ., 30 (1996).

  26. M. Valary and L. Menut, “Does an Increase in Air Quality Models’ Resolution Bring Surface Ozone Concentrations Closer to Reality?” J. Atmos. and Ocean. Technol., 25 (2008).

  27. R. Vautard, P. H. J. Builtjes, P. Thumis, et al., “Evaluation and Intercomparison of Ozone and PM10 Simulations by Several Chemistry Transport Models over Four European Cities within the CityDelta Project,” Atmos. Environ., 41 (2007).

  28. R. Vautard, C. Honore, M. Beekmann, and L. Rouil, “Simulation of Ozone during the August 2003 Heat Wave and Emission Control Scenarios,” Atmos. Environ., 39 (2005).

  29. J. Verwer, “Gauss-Seidel Iterations for Stiff Odes from Chemical Kinetics,” SIAM J. Scientific Computing, 15 (1994).

  30. M. G. Vivanco, I. Palomino, F. Martin, et al., “An Evaluation of the Performance of the CHIMERE Model over Spain Using Meteorology from MM5 and WRF Models,” in Computation Science and Its Application-ICCSA 2009 (Springer, Berlin, 2009).

    Google Scholar 

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Original Russian Text © R.B. Zaripov, I.B. Konovalov, I.N. Kuznetsova, I.B. Belikov, A.M. Zvyagintsev, 2011, published in Meteorologiya i Gidrologiya, 2011, No. 4, pp. 48–60.

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Zaripov, R.B., Konovalov, I.B., Kuznetsova, I.N. et al. WRF ARW and CHIMERE models for numerical forecasting of surface ozone concentration. Russ. Meteorol. Hydrol. 36, 249–257 (2011). https://doi.org/10.3103/S1068373911040054

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