Editorial Type:
Article
Article Type:
Research Article

Impact of Domain Size on Modeled Ozone Forecast for the Northeastern United States

Pius Lee Science Applications International Corporation, Beltsville, Maryland

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Daiwen Kang Science and Technology Corporation, Hampton, Virginia

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Jeff McQueen National Oceanic and Atmospheric Administration/National Centers for Environmental Prediction, Camp Springs, Maryland

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Marina Tsidulko Science Applications International Corporation, Beltsville, Maryland

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Mary Hart Science Applications International Corporation, Beltsville, Maryland

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Geoff DiMego National Oceanic and Atmospheric Administration/National Centers for Environmental Prediction, Camp Springs, Maryland

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Nelson Seaman Office of Science and Technology, National Weather Service, Silver Spring, Maryland

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Paula Davidson Office of Science and Technology, National Weather Service, Silver Spring, Maryland

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Print Publication:
01 Feb 2008
DOI:
https://doi.org/10.1175/2007JAMC1408.1
Page(s):
443–461
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Abstract

This study investigates the impact of model domain extent and the specification of lateral boundary conditions on the forecast quality of air pollution constituents in a specific region of interest. A developmental version of the national Air Quality Forecast System (AQFS) has been used in this study. The AQFS is based on the NWS/NCEP Eta Model (recently renamed the North American Mesoscale Model) coupled with the U.S. Environmental Protection Agency Community Multiscale Air Quality (CMAQ) model. This coupled Eta–CMAQ modeling system provided experimental air quality forecasts for the northeastern region of the United States during the summers of 2003 and 2004. The initial forecast over the northeastern United States was approved for operational deployment in September 2004. The AQFS will provide forecast coverage for the entire United States in the near future. In a continuing program of phased development to extend the geographical coverage of the forecast, the developmental version of AQFS has undergone two domain expansions. Hereinafter, this “developmental” domain-expanded forecast system AQFS will be dubbed AQFS-β. The current study evaluates the performance of AQFS-β for the northeastern United States using three domain sizes. Quantitative comparisons of forecast results with compiled observation data from the U.S. Aerometric Information Retrieval Now (AIRNOW) network were performed for each model domain, and interdomain comparisons were made for the regions of overlap. Several forecast skill score measures have been employed. Based on the categorical statistical metric of the critical success index, the largest domain achieved the highest skill score. This conclusion should catapult the implementation of the largest domain to attain the best forecast performance whenever the operational resource and criteria permit.

Corresponding author address: Pius Lee, NCEP/EMC, W/NP22 Room 207, 5200 Auth Road, Camp Springs, MD 20746-4304. Email: pius.lee@noaa.gov

This article included in the NOAA/EPA Golden Jubilee special collection.

Abstract

This study investigates the impact of model domain extent and the specification of lateral boundary conditions on the forecast quality of air pollution constituents in a specific region of interest. A developmental version of the national Air Quality Forecast System (AQFS) has been used in this study. The AQFS is based on the NWS/NCEP Eta Model (recently renamed the North American Mesoscale Model) coupled with the U.S. Environmental Protection Agency Community Multiscale Air Quality (CMAQ) model. This coupled Eta–CMAQ modeling system provided experimental air quality forecasts for the northeastern region of the United States during the summers of 2003 and 2004. The initial forecast over the northeastern United States was approved for operational deployment in September 2004. The AQFS will provide forecast coverage for the entire United States in the near future. In a continuing program of phased development to extend the geographical coverage of the forecast, the developmental version of AQFS has undergone two domain expansions. Hereinafter, this “developmental” domain-expanded forecast system AQFS will be dubbed AQFS-β. The current study evaluates the performance of AQFS-β for the northeastern United States using three domain sizes. Quantitative comparisons of forecast results with compiled observation data from the U.S. Aerometric Information Retrieval Now (AIRNOW) network were performed for each model domain, and interdomain comparisons were made for the regions of overlap. Several forecast skill score measures have been employed. Based on the categorical statistical metric of the critical success index, the largest domain achieved the highest skill score. This conclusion should catapult the implementation of the largest domain to attain the best forecast performance whenever the operational resource and criteria permit.

Corresponding author address: Pius Lee, NCEP/EMC, W/NP22 Room 207, 5200 Auth Road, Camp Springs, MD 20746-4304. Email: pius.lee@noaa.gov

This article included in the NOAA/EPA Golden Jubilee special collection.

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  • Alapaty, K., D. T. Olerud Jr., K. L. Schere, and A. F. Hanna, 1995: Sensitivity of Regional Oxidant Model predictions to prognostic and diagnostic meteorological fields. J. Appl. Meteor., 34 , 1787–1795.

    • Search Google Scholar
    • Export Citation

  • Alapaty, K., J. E. Pleim, S. Raman, D. S. Niyogi, and D. W. Byun, 1997: Simulation of atmospheric boundary layer processes using local- and nonlocal-closure schemes. J. Appl. Meteor., 36 , 214–233.

    • Search Google Scholar
    • Export Citation

  • Barna, M. G., and E. M. Knipping, 2006: Insights from the BRAVO study on nesting global models to specify boundary conditions in regional air quality modeling simulations. Atmos. Environ., 40 , S574–S582.

    • Search Google Scholar
    • Export Citation

  • Berman, S., J-Y. Ku, J. Zhang, and S. T. Rao, 1997: Uncertainties in estimating mixing depth—Comparing three mixing depth models with profiler measurements. Atmos. Environ., 31 , 3023–3039.

    • Search Google Scholar
    • Export Citation

  • Biswas, J., and S. T. Rao, 2001: Uncertainties in episodic ozone modeling stemming from uncertainties in the meteorological fields. J. Appl. Meteor., 40 , 117–136.

    • Search Google Scholar
    • Export Citation

  • Black, T., 1994: The new NMC mesoscale Eta Model: Description and forecast examples. Wea. Forecasting, 9 , 265–278.

  • Byun, D. W., and J. K. S. Ching, cited. 1999: Science algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System. EPA-600/R-99/030, Office of Research and Development, U.S. Environmental Protection Agency, Washington, DC. [Available online at http://www.epa.gov/asmdnerl/CMAQ/CMAQscienceDoc.html.].

  • Byun, D. W., and K. L. Schere, 2006: Description of the Models-3 Community Multiscale Air Quality (CMAQ) Model: System overview, governing equations, and science algorithms. Appl. Mech. Rev., 59 , 51–77.

    • Search Google Scholar
    • Export Citation

  • Chang, J. S., R. A. Brost, I. S. A. Isaksen, S. Madronich, P. Middleton, W. R. Stockwell, and C. J. Walcek, 1987: A three-dimensional Eulerian acid deposition model: Physical concepts and formulation. J. Geophys. Res., 92 , 14681–14700.

    • Search Google Scholar
    • Export Citation

  • Colella, P., and P. R. Woodward, 1984: The piecewise parabolic method (PPM) for gas dynamical simulations. J. Comput. Phys., 54 , 174–201.

    • Search Google Scholar
    • Export Citation

  • Davidson, P. M., 2005: Update on the National Air Quality Forecasting Capability. Preprints, NWS/NOAA-EPA Air Quality Focus Group Workshop, Silver Spring, MD, Amer. Meteor. Soc., J2.1.

  • Davidson, P. M., N. Seaman, K. Schere, R. A. Wayland, J. L. Hayes, and K. F. Carey, 2004: National air quality forecasting capability: First steps toward implementation. Preprints, Sixth Conf. on Atmospheric Chemistry, Seattle, WA, Amer. Meteor. Soc., J2.10.

  • Eder, B., and S. Yu, 2006: A performance evaluation of the 2004 release of Models-3 CMAQ. Atmos. Environ., 40 , 4811–4824.

  • EPA, 2003: User’s guide to MOBILE6.1 and MOBILE6.2 (Mobile Source Emission Factor Model). U.S. Environmental Protection Agency Rep. EPA420-R-03-010, 262 pp.

  • EPA, cited. 2005: 2005 summer ozone season—Archive. [Available online at http://www.airnow.gov/index.cfm?action=airnow.archivescalendar.].

  • Ferrier, B., and Coauthors, 2005: Ongoing experiments to improve cloud and precipitation forecasts from the WRF NMM modeling system. Preprints, 17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 16A.2.

  • Gery, M. W., G. Z. Whitten, J. P. Killus, and M. C. Dodge, 1989: A photochemical kinetics mechanism for urban and regional scale computer modeling. J. Geophys. Res., 94 , 12925–12956.

    • Search Google Scholar
    • Export Citation

  • Greene, J. S., L. S. Kalkstein, H. Ye, and K. Smoyer, 1999: Relationships between synoptic climatology and atmospheric pollution at 4 U.S. cities. Theor. Appl. Climatol., 62 , 163–174.

    • Search Google Scholar
    • Export Citation

  • Guenther, A. B., P. R. Zimmerman, P. C. Harley, R. K. Monson, and R. Fall, 1993: Isoprene and monoterpene emission rate variability: Model evaluations and sensitivity analyses. J. Geophys. Res., 98 , 12609–12617.

    • Search Google Scholar
    • Export Citation

  • Hana, S. R., Z. Lu, H. C. Frey, N. Wheeler, J. Vukovich, S. Arunachalam, M. Fernau, and D. A. Hansen, 2001: 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.

    • Search Google Scholar
    • Export Citation

  • Heidorn, K. C., and D. Yap, 1986: A synoptic climatology for surface ozone concentrations in southern Ontario, 1976-1891. Atmos. Environ., 20 , 695–703.

    • Search Google Scholar
    • Export Citation

  • Houyoux, M. R., J. M. Vukovich, C. J. Coats Jr., N. M. Wheeler, and P. S. Kasibhatla, 2000: Emission inventory development and processing for the Seasonal Model for Regional Air Quality (SMRAQ) project. J. Geophys. Res., 105 , 9079–9090.

    • Search Google Scholar
    • Export Citation

  • Imhoff, R. E., E. M. Bailey, and S. F. Mueller, 2000: The effect of vertical diffusivity on photochemical model estimates of tropospheric ozone. Preprints, 11th Joint Conf. on the Applications of Air Pollution Meteorology with the A&WMA, Long Beach, CA, Amer. Meteor. Soc., 116–120.

  • Jonson, J. E., and I. S. A. Isaksen, 1993: Tropospheric ozone chemistry: The impact of cloud chemistry. J. Atmos. Chem., 16 , 99–122.

  • Kang, D., B. K. Eder, A. F. Stein, G. A. Grell, S. E. Peckham, and J. McHenry, 2005: The New England air quality forecasting pilot program: Development of an evaluation protocol and performance benchmark. J. Air Waste Manage. Assoc., 55 , 1782–1796.

    • Search Google Scholar
    • Export Citation

  • Kang, D., R. Mathur, K. Schere, S. Yu, and B. Eder, 2007: New categorical metrics for air quality model evaluation. J. Appl. Meteor. Climatol., 46 , 549–555.

    • Search Google Scholar
    • Export Citation

  • Lee, P., and Coauthors, 2004: Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) Modeling System: Boundary condition for ozone concentration. Preprints, 27th Int. Technical Meeting on Air Pollution Modelling and Its Applications, Banff, AB, Canada, NATO/CCMS, P5.5.

  • Lennartson, G. J., and M. D. Schwartz, 1999: A synoptic climatology of surface-level ozone in eastern Wisconsin, USA. Climate Res., 13 , 207–220.

    • Search Google Scholar
    • Export Citation

  • Mathur, R., K. L. Schere, and A. Nathan, 1994: Dependencies and sensitivity of tropospheric oxidants to precursor concentrations over the Northeast United States—A model study. J. Geophys. Res., 99 , 10535–10552.

    • Search Google Scholar
    • Export Citation

  • Milanchus, M., S. T. Rao, and I. Zurbenko, 1998: Evaluating the effectiveness of ozone management efforts in the presence of meteorological variability. J. Air Waste Manage. Assoc., 48 , 201–207.

    • Search Google Scholar
    • Export Citation

  • NOAA, cited. 2005a: HYSPLIT Model—Archive. NOAA/Air Resources Laboratory, Silver Spring, MD. [Available online at http://www.arl.noaa.gov/ready/hysplit4.html.].

  • NOAA, cited. 2005b: Daily weather map—Archive. [Available online at http://www.hpc.ncep.noaa.gov/dailywxmap.].

  • NOAA, cited. 2005c: NCEP/EMC precipitation skill scores for operational models. [Available online at http://www.emc.ncep.noaa.gov/mmb/ylin/pcpverif/scores/2005/200508/.].

  • NOAA, cited. 2005d: NCEP/EMC North American Mesoscale Model Forecast Meteograms. [Available online at http://www.emc.ncep.noaa.gov/mmb/nammeteograms/.].

  • Nowaki, P., P. J. Samson, and S. Sillman, 1996: Sensitivity of Urban Airshed Model (UAM-IV) calculated air pollutant concentrations to the vertical diffusion parameterization during convective meteorological situations. J. Appl. Meteor., 35 , 1790–1803.

    • Search Google Scholar
    • Export Citation

  • Otte, T. L., and Coauthors, 2005: Linking the Eta Model with the Community Multiscale Air Quality (CMAQ) modeling system to build a national air quality forecasting system. Wea. Forecasting, 20 , 367–384.

    • Search Google Scholar
    • Export Citation

  • Pierce, T., C. Geron, L. Bender, R. Dennis, G. Tonnesen, and A. Guenther, 1998: Influence of increased isoprene emissions on regional ozone modeling. J. Geophys. Res., 103 , 25611–25629.

    • Search Google Scholar
    • Export Citation

  • Pierce, T., C. Geron, G. Pouliot, E. Kinnee, and J. Vukovich, 2002: Integration of the Biogenic Emissions Inventory System (BEIS3) into the Community Multiscale Air Quality Modeling System. Preprints, 12th Joint Conf. on the Applications of Air Pollution Meteorology with the A&WMA, Norfolk, VA, Amer. Meteor. Soc., J85–J86.

  • Pleim, J. E., A. Xiu, P. L. Finkelstein, and T. L. Otte, 2001: A coupled land-surface and dry deposition model and comparison to field measurements of surface heat, moisture, and ozone fluxes. Water Air Soil Pollut. Focus, 1 , 243–252.

    • Search Google Scholar
    • Export Citation

  • Pouliot, G., and T. C. Pierce, 2003: Emission processing for an air quality forecasting model. Preprints, 12th Int. Emission Inventory Conf. on Emission Inventories—Applying New Technologies, Atlanta, GA, U.S. Environmental Protection Agency, J85–86.

  • Rao, S. T., and Coauthors, 2000: An integrated modeling and observational approach for designing ozone control strategies for the eastern United States. Air Pollution Modeling and Its Applications, Vol. XIII, S. E. Gryning and E. Batchvarova, Eds., Kluwer Academic, 3–16.

    • Search Google Scholar
    • Export Citation

  • Rao, S. T., J-Y. Ku, S. Berman, K. Zhang, and H. Mao, 2003: Summertime characteristics of the atmospheric boundary layer and relationships to ozone levels over the eastern United States. Pure Appl. Geophys., 160 , 21–55.

    • Search Google Scholar
    • Export Citation

  • Rogers, E., T. Black, D. Deaven, G. DiMego, Q. Zhao, M. Baldwin, N. Junker, and Y. Lin, 1996: Changes to the operational “early” Eta Analysis/Forecast System at the National Centers for Environmental Prediction. Wea. Forecasting, 11 , 391–413.

    • Search Google Scholar
    • Export Citation

  • Rogers, E., and Coauthors, 2005: The NCEP North American Mesoscale Modeling System: Final Eta Model/analysis changes and preliminary experiments using the WRF-NMM. Preprints, 17th Conf. on Numerical Weather Prediction, Washington, DC, Amer. Meteor. Soc., 4B.5.

  • Rohli, R. V., M. M. Russo, A. J. Vega, and J. B. Cole, 2004: Tropospheric ozone in Louisiana and synoptic circulation. J. Appl. Meteor., 43 , 1438–1451.

    • Search Google Scholar
    • Export Citation

  • Ryan, W. F., C. A. Petty, and E. D. Luebehusen, 2000: Air quality forecasts in the mid-Atlantic region: Current practice and benchmark skill. Wea. Forecasting, 15 , 46–60.

    • Search Google Scholar
    • Export Citation

  • Seaman, N., 2000: Meteorological modeling for air-quality assessments. Atmos. Environ., 34 , 2231–2259.

  • Shafran, P. C., N. L. Seaman, and G. A. Gayno, 2000: Evaluation of numerical predictions of boundary layer structure during the Lake Michigan ozone study. J. Appl. Meteor., 39 , 412–426.

    • Search Google Scholar
    • Export Citation

  • Sillman, S., and P. J. Samson, 1995: Impact of temperature on oxidant photochemistry in urban, polluted rural and remote environments. J. Geophys. Res., 100 , 14175–14188.

    • Search Google Scholar
    • Export Citation

  • Sillman, S., J. A. Logan, and S. C. Wofsy, 1990: A regional-scale model for ozone in the United States with a subgrid representation of urban and power plant plumes. J. Geophys. Res., 95 , 5731–5748.

    • Search Google Scholar
    • Export Citation

  • Wang, Z., and K. Sassen, 2000: Ozone destruction in continental stratus clouds: An aircraft case study. J. Appl. Meteor., 39 , 875–886.

    • Search Google Scholar
    • Export Citation

  • Wishinski, P. R., D. C. Riley, R. L. Poirot, J. T. McQueen, and C. Johnson, 2001: An evaluation of an operational mesoscale meteorological model in predicting surface wind fields and temperatures over complex terrain and coastal regions of the northeastern U.S. Preprints, 94th Annual Conf. and Exhibition, Orlando, FL, Air and Waste Management Association, Paper 849.

  • Zhang, J., and S. T. Rao, 1999: The role of vertical mixing in the temporal evolution of the ground-level ozone concentration. J. Appl. Meteor., 38 , 1674–1691.

    • Search Google Scholar
    • Export Citation
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