Numerical Investigation of the Effects of Boundary-Layer Evolution on the Predictions of Ozone and the Efficacy of Emission Control Options in the Northeastern United States

This paper examines the effects of two different planetary boundary-layer (PBL) parameterization schemes – Blackadar and Gayno–Seaman – on the predicted ozone (O3) concentration fields using the MM5 (Version 3.3) meteorological model and the MODELS-3 photochemical model. The meteorological fields obtained from the two boundary-layer schemes have been used to drive the photochemical model to simulate O3 concentrations in the northeastern United States for a three-day O3 episodic period. In addition to large differences in the predicted O3 levels at individual grid cells, the simulated daily maximum 1-h O3 concentrations appear at different regions of the modeling domain in these simulations, due to the differences in the vertical exchange formulations in these two PBL schemes. Using process analysis, we compared the differences between the different simulations in terms of the relative importance of chemical and physical processes to O3 formation and destruction over the diurnal cycle. Finally, examination of the photochemical model's response to reductions in emissions reveals that the choice of equally valid boundary-layer parameterizations can significantly influence the efficacy of emission control strategies.

[1]  Da‐Lin Zhang,et al.  A High-Resolution Model of the Planetary Boundary Layer—Sensitivity Tests and Comparisons with SESAME-79 Data , 1982 .

[2]  P. Thunis,et al.  Effects of uncertainties in meteorological inputs on urban airshed model predictions and ozone control strategies , 1996 .

[3]  Jia-Yeong Ku,et al.  Spatial and Temporal Variation in the Mixing Depth over the Northeastern United States during the Summer of 1995 , 1999 .

[4]  S. T. Rao,et al.  Sensitivity of the urban airshed model to mixing height profiles , 1994 .

[5]  S. Rao,et al.  Uncertainties in Episodic Ozone Modeling Stemming from Uncertainties in the Meteorological Fields , 2001 .

[6]  Nelson L. Seaman,et al.  Meteorological modeling for air-quality assessments , 2000 .

[7]  A. Blackadar,et al.  High resolution models of the planetary boundary layer , 1979 .

[8]  D. Byun Science algorithms of the EPA Models-3 community multi-scale air quality (CMAQ) modeling system , 1999 .

[9]  John N. McHenry,et al.  Evaluating the performance of regional-scale photochemical modeling systems: Part I—meteorological predictions , 2001 .

[10]  K. Alapaty,et al.  Sensitivity of Regional Oxidant Model Predictions to Prognostic and Diagnostic Meteorological Fields. , 1995 .

[11]  E. Lorenz Deterministic nonperiodic flow , 1963 .

[12]  Jian Zhang,et al.  The Role of Vertical Mixing in the Temporal Evolution of Ground-Level Ozone Concentrations , 1999 .

[13]  R. Jayanty,et al.  Measurement of toxic and related air pollutants , 1990 .

[14]  G. Kallos,et al.  An Operational Evaluation of Two Regional-Scale Ozone Air Quality Modeling Systems over the Eastern United States. , 2001 .

[15]  M. C. Dodge,et al.  A photochemical kinetics mechanism for urban and regional scale computer modeling , 1989 .

[16]  C. Russell Philbrick,et al.  Numerical Investigation of Boundary-Layer Evolution and Nocturnal Low-Level Jets: Local versus Non-Local PBL Schemes , 2001 .

[17]  Daewon W. Byun,et al.  Simulation of Atmospheric Boundary Layer Processes Using Local- and Nonlocal-Closure Schemes , 1997 .

[18]  Robin L. Dennis,et al.  NARSTO critical review of photochemical models and modeling , 2000 .

[19]  Kiran Alapaty,et al.  Effects of atmospheric boundary layer mixing representations on vertical distribution of passive and reactive tracers , 1998 .

[20]  H. Mao,et al.  Summertime Characteristics of the Atmospheric Boundary Layer and Relationships to Ozone Levels over the Eastern United States , 2003 .

[21]  Nelson L. Seaman,et al.  Evaluation of Numerical Predictions of Boundary Layer Structure during the Lake Michigan Ozone Study , 2000 .

[22]  J. Dudhia A Nonhydrostatic Version of the Penn State–NCAR Mesoscale Model: Validation Tests and Simulation of an Atlantic Cyclone and Cold Front , 1993 .