Is regional air quality model diversity representative of uncertainty for ozone simulation?

Geophysical Research Letters

Volumn 33, Issue 24, 2006, Pages

  Vautard, Robert ^a   Van Loon, M ^b   Schaap, M ^c   Bergstrom R ^d   Bessagnet, B ^e   Brandt, J ^f   Builtjes, P J H ^c   Christensen, J H ^f   Cuvelier, C ^g   Graff, A ^h   Jonson, J E ^a   Krol, M ⁱ   Langner, J ^d   Roberts, P ^j   Rouil, L ^e   Stern, R ^k   Tarrason L ^b   Thunis, P ^g   Vignati, E ^g   White, L ^l   Wind, P ^b   more..

^a LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^b UNIVERSITY OF OSLO   (Norway)

^c TNO   (Netherlands)

^d SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

^e INSTITUT NATIONAL DE L ENVIRONNEMENT INDUSTRIEL ET DES RISQUES INERIS   (France)

^f NATIONAL ENVIRONMENTAL RESEARCH INSTITUTE   (Denmark)

^g JOINT RESEARCH CENTRE   (Italy)

^h UMWELTBUNDESAMT   (Germany)

ⁱ SRON NETHERLANDS INSTITUTE FOR SPACE RESEARCH   (Netherlands)

^j SHELL GLOBAL SOLUTIONS INTERNATIONAL B V   (United States)

^k FREIE UNIVERSITÄT BERLIN   (Germany)

^l Conservation of Clean Air and Water in Europe ^*  (United Kingdom)

more..

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; EMISSION CONTROL; OZONE; STATISTICAL METHODS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

ENSEMBLE WEATHER FORECASTING; OZONE DAILY MAXIMA;

AIR QUALITY;

AIR QUALITY; COMPUTER SIMULATION; EMISSION CONTROL; OZONE; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

EID: 33847222040     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006GL027610     Document Type: Article

References (23)

1. Andersson, C., J. Langner, and R. Bergström (2006), Interannual variation and trends in air pollution over Europe due to climate variability during 1958-2001 simulated with a regional CTM coupled to the ERA40 reanalysis, Tellus, Ser. B, doi:10.1111/ j.1600-0889.2006.00196.x, in press.
2. Atger, F. (1999), The skill of ensemble prediction systems, Mon. Weather Rev., 127, 1941-1953.
3. Beekmann, M., and C. Derognat (2003), Monte Carlo uncertainty analysis of a regional scale transport chemistry model constrained by measurements from the ESQUIF campaign, J. Geophys. Res., 108(D17), 8559, doi:10.1029/2003JD003391.
4. Christensen, J. (1997), The Danish eulerian hemispheric model - A three-dimensional air pollution model used for the Arctic, Atmos. Environ., 31, 4169-4191.
5. Cuvelier, C., et al. (2007), CityDelta: A model intercomparison study to explore the impact of emission reductions in European cities in 2010, Atmos. Environ, 41(1), 189-207.
6. Dabberdt, W. F., and E. Miller (2000), Uncertainty, ensembles and air quality dispersion modelling: Applications and challenges, Atmos. Environ., 34, 4667-4673.
7. Delle Monache, L., and R. B. Stull (2003), An ensemble air quality forecast over western Europe during an ozone episode, Atmos. Environ., 37, 3469-3474.
8. Delle Monache, L., J. P. Hacker, Y. Zhou, X. Deng, and R. B. Stull (2006), Probabilistic aspects of meteorological and ozone regional ensemble forecasts, J. Geophys. Res., doi: 10. 1029/2005JD006917, in press.
9. Frohn, L. M., J. H. Christensen, and J. Brandt (2002), Development of a high-resolution nested air pollution model - The numerical approach, J. Comput. Phys., 179, 68-94.
10. Hanna, S. R., Z. Lu, H. C. Frey, N. Wheeler, J. Vukovich, S. Arumachalam, and M. Fernau (2001), Uncertainties in predicted ozone concentration due to input uncertainties for the UAM-V photochemical grid model applied to the July 1995 OTAG domain, Atmos. Environ., 35, 891-903.
11. Jollife, I. T., and D. B. Stephenson (Eds.) (2003), Forecast Verification: A Practitioner's Guide in Atmospheric Science, 240 pp., John Wiley, Hoboken, N. J.
12. Krol, M., S. Houweling, B. Bregman, M. van den Brock, A. Segers, P. van Velthoven, W. Peters, F. Dentener, and P. Bergamaschi (2005), The two-way nested global chemistry-transport zoom model TM5: Algorithm and applications, Atmos. Chem. Phys., 5, 417-432.
13. Mallet, V, and B. Sportisse (2006), 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, doi:10.1029/2005JD006149.
14. McKeen, S., et al. (2005), Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004, J. Geophys. Res., 110, D21307, doi:10.1029/2005JD005858.
15. Molteni, F., R. Buizza, T. N. Palmer, and T. Petroliagis (1996), The ECMWF ensemble system: Methodology and validation, Q.J.R. Meteorol. Soc., 122, 73-119.
16. Pagowski, M., et al. (2005), A simple method to improve ensemble-based ozone forecasts, Geophys. Res. Lett., 32, L07814, doi:10.1029/ 2004GL022305.
17. Schaap, M., R. M. A. Timmermans, F. J. Sauter, M. Roemer, G. J. M. Velders, G. A. C. Boersen, J. P. Beck, and P. J. H. Builtjes (2006), The LOTOS-EUROS model: Description, validation, and latest developments, Int. J. Environ. Pollut, in press.
18. Schmidt, H., C. Derognat, R. Vautard, and M. Beekmann (2001), A comparison of simulated and observed ozone mixing ratios for the summer of 1998 in western Europe, Atmos. Environ., 36, 6277-6297.
19. 2, paper presented at 26th International Technical Meeting on Air Pollution Modelling and its Application, Natl. Atl. Treaty Organ., Istanbul, Turkey, 26-30 May.
20. Talagrand, O., R. Vautard, and B. Strauss (1998), Evaluation of probabilistic prediction systems, paper presented at Seminar on Predictability, Eur. Cent. for Medium Weather Forecasting, Reading, UK.
21. Toth, Z., and E. Kalnay (1997), Ensemble forecasting at NCEP and the breeding method, Mon. Weather Rev., 125, 3297-3319.
22. Van Loon, M., et al. (2006), Evaluation of long-term ozone simulations from seven regional air quality models and their ensemble average, Atmos. Environ, in press.
23. Vestreng, V. (2003), Review and revision of emission data reported to CLRTAP, MSC-W Tech. Rep. 1/03, Norw. Meteorol. Inst., Oslo.