title: Assessment of the nested grid model estimates for driving regional visibility models in the southwestern United States.
abstract: The Nested Grid Model (NGM) is a primitive-equation meteorological model that is routinely exercised over North America for forecasting purposes by the National Meteorological Center. While prognostic meteorological models are being increasingly used to drive air quality models, their use in conducting annual simulations requires significant resources. NGM estimates of wind fields and other meteorological variables provide an attractive alternative since they are typically archived and readily available for an entire year. Preliminary evaluation of NGM winds during the summer of 1992 for application to the region surrounding the Grand Canyon National Park showed serious shortcomings. The NGM winds along the borders between California, Arizona and Mexico tend to be northwesterly with a speed of about 6 m/sec, while the observed flow is predominantly southerly at about 2-5 m/sec. The mesoscale effect of a thermal low pressure area over the highly heated Southern California and western Arizona deserts does not appear to be represented by the NGM because of its coarse resolution and the use of sparse observations in that region. Tracer simulations and statistical evaluation against special high resolution observations of winds in the southwest United States clearly demonstrate the northwest bias in NGM winds and its adverse effect on predictions of an air quality model. The "enhanced" NGM winds, in which selected wind observations are incorporated in the NGM winds using a diagnostic meteorological model provide additional confirmation on the primary cause of the northwest bias. This study has demonstrated that in situations where limited resources prevent the use of prognostic meteorological models, previously archived coarse resolution wind fields in which additional observations are incorporated to correct known biases provide an attractive option.
authors.affiliation: Atmospheric and Environmental Research, Inc., San Ramon, California, USA.
authors.forename: P
authors.initials: P
authors.lastname: Pai
authors.forename: R J
authors.initials: RJ
authors.lastname: Farber
authors.forename: P
authors.initials: P
authors.lastname: Karamchandani
authors.forename: I
authors.initials: I
authors.lastname: Tombach
mesh_terms: D000336:Aerosols / Q000737:chemistry; D000397:Air Pollution / Q000032:analysis*; D005544:Forecasting; D008685:Meteorological Concepts; D008962:Models, Theoretical; D010316:Particle Size; D015206:Southwestern United States; D014919:Wind
chemical_list: D000336:Aerosols