Modeling Ozone Formation and Transport in the Cascadia Region of the Pacific Northwest

Mike Barna Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington

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Brian Lamb Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington

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Susan O’Neill Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington

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Hal Westberg Laboratory for Atmospheric Research, Department of Civil and Environmental Engineering, Washington State University, Pullman, Washington

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Cris Figueroa-Kaminsky Washington State Department of Ecology, Olympia, Washington

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Sally Otterson Washington State Department of Ecology, Olympia, Washington

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Clint Bowman Washington State Department of Ecology, Olympia, Washington

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Jennifer DeMay Washington State Department of Ecology, Olympia, Washington

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Abstract

The rapidly growing Cascadia region of the Pacific Northwest, consisting of western Washington, Oregon, and southwestern British Columbia, has experienced surface ozone concentrations that exceed federally mandated standards. A modeling system consisting of the prognostic meteorological model known as the Fifth-Generation Pennsylvania State University–National Center for Atmospheric Research Mesosale Model (MM5), the diagnostic meteorological model CALMET, and the photochemical air quality model CALGRID was developed to investigate ozone formation and transport in this region. To address both the complex topography within the model domain and the relatively sparse network of surface and upper-air meteorological observations, MM5 simulations were performed using 4D data assimilation and a relatively high-resolution inner domain (5-km grid). The MM5 results, however, failed to reproduce the observed wind patterns in some portions of the domain. As a result, it was necessary to employ the MM5 solution as the initial-guess wind field for CALMET (also with a 5-km grid). Objective analysis was applied within CALMET to interpolate the predicted winds with available surface observations. This method involved an iterative approach to find the optimal set of weighting factors within CALMET to merge the MM5 solution with the available meteorological observations.

The predicted ozone concentration patterns for a July 1996 event were very complex but generally showed areas of maximum ozone (130 ppb) occurring to the south and east of Puget Sound and within and to the south of the Portland area (170 ppb). Widespread ozone buildup does not occur over the course of the episode; rather, the maximum ozone concentration occurs each day downwind of each urban center. There was no evidence for recirculation of pollutants from one day to the next within an urban area. It also does not appear that emissions from one urban center influence the neighboring downwind urban area. The predicted ozone concentrations showed good agreement with observations at the monitors located along the Interstate Highway No. 5 corridor. Model performance was less good at three sites located in regions of complex terrain.

Corresponding author address: Dr. Brian Lamb, Laboratory for Atmospheric Research, Dept. of Civil and Environmental Engineering, Washington State University, Pullman, WA 99164-2910.

Abstract

The rapidly growing Cascadia region of the Pacific Northwest, consisting of western Washington, Oregon, and southwestern British Columbia, has experienced surface ozone concentrations that exceed federally mandated standards. A modeling system consisting of the prognostic meteorological model known as the Fifth-Generation Pennsylvania State University–National Center for Atmospheric Research Mesosale Model (MM5), the diagnostic meteorological model CALMET, and the photochemical air quality model CALGRID was developed to investigate ozone formation and transport in this region. To address both the complex topography within the model domain and the relatively sparse network of surface and upper-air meteorological observations, MM5 simulations were performed using 4D data assimilation and a relatively high-resolution inner domain (5-km grid). The MM5 results, however, failed to reproduce the observed wind patterns in some portions of the domain. As a result, it was necessary to employ the MM5 solution as the initial-guess wind field for CALMET (also with a 5-km grid). Objective analysis was applied within CALMET to interpolate the predicted winds with available surface observations. This method involved an iterative approach to find the optimal set of weighting factors within CALMET to merge the MM5 solution with the available meteorological observations.

The predicted ozone concentration patterns for a July 1996 event were very complex but generally showed areas of maximum ozone (130 ppb) occurring to the south and east of Puget Sound and within and to the south of the Portland area (170 ppb). Widespread ozone buildup does not occur over the course of the episode; rather, the maximum ozone concentration occurs each day downwind of each urban center. There was no evidence for recirculation of pollutants from one day to the next within an urban area. It also does not appear that emissions from one urban center influence the neighboring downwind urban area. The predicted ozone concentrations showed good agreement with observations at the monitors located along the Interstate Highway No. 5 corridor. Model performance was less good at three sites located in regions of complex terrain.

Corresponding author address: Dr. Brian Lamb, Laboratory for Atmospheric Research, Dept. of Civil and Environmental Engineering, Washington State University, Pullman, WA 99164-2910.

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  • Aneja, V. P., S. Businger, Z. Li, C. S. Claiborn, and A. Murthy, 1991:Ozone climatology at high elevations in the southern Appalachians. J. Geophys. Res.,96, 1007–1021.

  • Anthes, R. A., and T. T. Warner, 1978: Development of hydrodynamic models suitable for air pollution and other mesometeorological studies. Mon. Wea. Rev.,106, 1045–1078.

  • Bond, N. A., C. F. Mass, and J. Overland, 1996: Coastally trapped wind reversals along the United States west coast during the warm season. Part I: Climatology and temporal evolution. Mon. Wea. Rev.,124, 430–445.

  • Carter, W. P. L., 1990: A detailed mechanism for the gas-phase atmospheric reactions of organic compounds. Atmos. Environ.,24A, 481–510.

  • Chien, F.-C., and C. F. Mass, 1997: Interaction of a warm-season frontal system with the coastal mountains of the western United States. Part II: Evolution of a Puget Sound convergence zone. Mon. Wea. Rev.,125, 1730–1752.

  • Chien, F.-C., C. F. Mass, and Y.-H. Kuo, 1997: Interaction of a warm-season frontal system with the coastal mountains of the western United States. Part I: Prefrontal onshore push, coastal ridging, and alongshore southerlies. Mon. Wea. Rev.,125, 1705–1729.

  • Douglas, S., H. P. Deuel, and J. L. Haney, 1998: Use of the UAM-V modeling system process analysis and source attribution features to assess model performance and response for urban and regional-scale applications. Proc. 10thJoint Conf. on the Applications of Air Pollution Meteorology, Phoenix, AZ, Amer. Meteor. Soc., 400–403.

  • Grell, G. A., J. Dudhia, and D. R. Stauffer, 1994: A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398 + STR, 122 pp. [Available from National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307.].

  • Hedley, M., and D. L. Singleton, 1997: Evaluation of an air quality simulation of the Lower Fraser Valley. Part I: Meteorology. Atmos. Environ.,31, 1605–1616.

  • Hedley, M., R. McLaren, W. Jiang, and D. L. Singleton, 1997: Evaluation of an air quality simulation of the Lower Fraser Valley. Part II:Photochemistry. Atmos. Environ.,31, 1617–1630.

  • Hong, S. Y., and H. L. Pan, 1996: Nonlocal boundary layer vertical diffusion in the medium-range forecast model. Mon. Wea. Rev.,124, 2322–2339.

  • Jiang, W., D. L. Singleton, M. Hedley, and R. McLaren, 1996a: Sensitivity of ozone concentrations to VOC and NOx emissions in the Canadian Lower Fraser Valley. Atmos. Environ.,31, 627–638.

  • Jiang, W., D. L. Singleton, M. Hedley, and R. McLaren, 1996b: Modification and evaluation of the CALGRID chemical mechanism for ozone studies of the Lower Fraser Valley, British Columbia. Report No. PET-1360-95S, Institute for Chemical Process and Environmental Technology, 81 pp. [Available from National Research Council Canada, Ottawa, ON K1A 0R6, Canada.].

  • Jiang, W., D. L. Singleton, M. Hedley, and R. McLaren, 1996c: Processing the Lower Fraser Valley Pacific 93 emission inventory for UAM-V applications: Area and mobile sources. Report No. PET-1385-96S, Institute for Chemical Process and Environmental Technology, 111 pp. [Available from National Research Council Canada, Ottawa, ON K1A 0R6, Canada.].

  • Jiang, W., D. L. Singleton, M. Hedley, R. McLaren, T. Dann, and D. Wang, 1997: Comparison of organic compound compositions in the emissions inventory and ambient data for the Lower Fraser Valley. J. Air Waste Manage. Assoc.,47, 851–860.

  • Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain–Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, K. A. Emanuel and D. J. Raymond, Eds., Amer. Meteor. Soc., 246 pp.

  • Kumar, N., A. G. Russell, T. W. Tesche, and D. E. McNally, 1994: Evaluation of CALGRID using two different ozone episodes and comparison to UAM results. Atmos. Environ.,28, 2823–2845.

  • Lamb, B., D. Gay, H. Westberg, and T. Pierce, 1993: A biogenic hydrocarbon emission inventory for the U.S.A. using a simple forest canopy model. Atmos. Environ.,27A, 1673–1690.

  • Lamb, B., B. Hopkins, H. Westberg, and P. Zimmerman, 1997: Evaluation of biogenic emission estimates using ambient VOC concentrations in western Washington. Proc. Workshop on Biogenic Hydrocarbons in the Atmospheric Boundary Layer, Charlottesville, VA, Amer. Meteor. Soc., 53–56.

  • Logan, J. A., 1989: Ozone in rural areas of the United States. J. Geophys. Res.,94, 8511–8532.

  • Lu, R., R. P. Turco, and M. Z. Jacobson, 1997: An integrated air pollution modeling system for urban and regional scales. Part II: Simulations for SCAQS 1987. J. Geophys. Res.,102, 6081–6098.

  • Mass, C. F., 1982: The topographically forced diurnal circulations of western Washington State and their influence on precipitation. Mon. Wea. Rev.,110, 170–183.

  • Mass, C. F., and N. A. Bond, 1996: Coastally trapped wind reversals along the United States west coast during the warm season. Part II: Synoptic evolution. Mon. Wea. Rev.,124, 446–461.

  • Mass, C. F., and Y.-H. Kuo, 1998: Regional real-time numerical weather prediction: Current status and future potential. Bull. Amer. Meteor. Soc.,79, 253–263.

  • McKendry, I. G., 1994: Synoptic circulation and summertime ground-level ozone concentrations at Vancouver, British Columbia. J. Appl. Meteor.,33, 627–641.

  • Pilinis, C., P. Kassomenos, and G. Kallos, 1993: Modeling of photochemical pollution in Athens, Greece. Application of the RAMS–CALGRID modeling system. Atmos. Environ.,27B, 353–370.

  • Pryor, S. C., I. G. McKendry, and D. G. Steyn, 1995: Synoptic-scale meteorological variability and surface ozone concentrations in Vancouver, British Columbia. J. Appl. Meteor.,34, 1824–1833.

  • Robe, F. R., and J. S. Scire, 1998: Combining mesoscale prognostic and diagnostic wind models: A practical approach for air quality applications in complex terrain. Proc. 10thJoint Conf. on the Applications of Air Pollution Meteorology, Phoenix, AZ, Amer. Meteor. Soc., 223–226.

  • Schulman, L. L., and G. E. Moore, 1998: Photochemical grid modeling of four high ozone episodes in the New England domain:CALGRID vs. UAM-IV. Proc. 10th Joint Conf. on the Applications of Air Pollution Meteorology, Phoenix, AZ, Amer. Meteor. Soc., 505–509.

  • Scire, J. S., and F. R. Robe, 1997: Fine-scale application of the CALMET meteorological model to a complex terrain site. Paper No. 97-A1313, Proc. 90th Annual Air and Waste Management Meeting, Toronto, Canada, Air and Waste Manage. Assoc.

  • Scire, J. S., E. M. Insley, R. J. Yamartino, and M. E. Fernau, 1995: A user’s guide for the CALMET meteorological model. Earth Tech, 193 pp. [Available from Earth Tech, Inc., 196 Baker Ave., Concord, MA 01742.].

  • Stauffer, D. R., and N. L. Seaman, 1994: Multiscale four-dimensional data assimilation. J. Appl. Meteor.,33, 416–434.

  • Steenburgh, W. H., and C. F. Mass, 1996: Synoptic and mesoscale circulations during high ozone episodes over western Washington. Final Report for the Puget Sound Clean Air Agency, 67 pp. [Available from Puget Sound Clean Air Agency, 110 Union St., Seattle, WA 98101.].

  • U.S. EPA, 1996: MOBILE5b Model and user’s guide. Office of Mobile Sources, National Motor Vehicle and Fuels Emission Laboratory, 216 pp. [Available from National Motor Vehicle and Fuels Emission Laboratory, 2565 Plymouth Rd., Ann Arbor, MI 48105.].

  • Westberg, H., B. Hopkins, E. Allwine, B. Lamb, and P. Zimmerman, 1997: Speciated VOC measurements in western Washington during the summer of 1996. Washington State Department of Ecology, 70 pp. [Available from Washington State Department of Ecology, P.O. Box 47600, Olympia, WA 98504-7600.].

  • Yamartino, R. J., J. S. Scire, G. R. Carmichael, and Y.-S. Chang, 1992: The CALGRID mesoscale photochemical grid model. Part I: Model formulation. Atmos. Environ.,26A, 1493–1512.

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