Result: A comprehensive performance evaluation of MM5-CAMQ for the summer 1999 southern oxidants study episode, Part III Diagnostic and mechanistic evaluations

Title:
A comprehensive performance evaluation of MM5-CAMQ for the summer 1999 southern oxidants study episode, Part III Diagnostic and mechanistic evaluations
Authors:
YANG ZHANG, PING LIU, PUN, Betty, SEIGNEUR, Christian
Source:
Special Issue on Model Evaluation: Evaluation of Urban and Regional Eulerian Air Quality ModelsAtmospheric environment (1994). 40(26):4856-4873
Publisher Information:
Oxford: Elsevier Science, 2006.
Publication Year:
2006
Physical Description:
print, 28 ref
Original Material:
INIST-CNRS
Subject Terms:
Environment, Environnement, Climatology, meteorology, Climatologie, météorologie, Pollution, Toxicology, Toxicologie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Pollution, Pollution atmosphérique, Atmospheric pollution, Méthodes d'analyse, Analysis methods, Analyse sensibilité, Sensitivity analysis, Análisis sensibilidad, Aérosol, Aerosols, Aerosol, Composé trace, Trace compound, Compuesto huella, Distribution dimension particule, Particle size distribution, Distribución dimensión partícula, Eté, Summer, Verano, Incertitude, Uncertainty, Incertidumbre, Modèle 3 dimensions, Three dimensional model, Modelo 3 dimensiones, Mésoéchelle, Mesoscale, Mesoescala, Nombre particule, Particle number, Número partícula, Oxydant photochimique, Photochemical oxidants, Ozone, Ozono, Performance algorithme, Algorithm performance, Resultado algoritmo, Pollution air, Air pollution, Contaminación aire, Qualité air, Air quality, Calidad aire, Simulation numérique, Numerical simulation, Simulación numérica, Zone urbaine, Urban area, Zona urbana, CMAQ, PM2.5, SOS, Sensitivity study
Subject Geographic:
Amérique du Nord, North America, America del norte, Amérique, America, Etats Unis, United States, Estados Unidos, Etats Unis Sud Est
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
North Carolina State University, Campus Box 8208, Raleigh, NC 27695, United States
Atmospheric and Environmental Research, Inc., 2682 Bishop Dr., Suite 120, San Ramon, CA 94583, United States
ISSN:
1352-2310
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18043212
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Pollution
Accession Number:
edscal.18043212
Database:
PASCAL Archive

Further Information

As Part III of a comprehensive evaluation of CMAQ for the summer 1999 Southern Oxidants Study episode, the observed number (N), volume (V), surface area (S), and size distributions of accumulation-mode particles during the Aerosol Research Inhalation Epidemiological Study (ARIES) are used to evaluate CMAQ's capability in reproducing PM size distributions. CMAQ underpredicts V, S, and geometric number mean diameter (by a factor of 1.24-1.54), and overpredicts N, geometric standard deviation, and geometric volume mean diameter (by a factor of 1.46-2.2) on most days. In addition to inaccurate meteorology and emissions, insufficient condensational growth of PM and uncertainty in the initial size distribution may contribute to the underpredictions in V and S. An overestimation of the PM number emission rates (by a factor of 3-5.3) and several other model assumptions/treatments may contribute to the PM number overpredictions. Among the factors that we studied, the floor value of Kzz, the boundary conditions (BCONs) of O3, the emissions of gaseous precursors such as NOx and NH3 and primary PM species such as POM, and the assumed initial PM size distribution and emission fractions have been identified to be the most influential factors that affect the overall model performance. Sensitivity simulations with a floor value of Kzz of 0.1cm2 s-1, adjusted emissions of NOx, NH3, and POM, and adjusted initial PM size distribution and emission fractions provide moderate-to-significant improvements. Further investigation into the uncertainties/deficiencies in model treatments for PM such as gas-to-particle mass transfer will identify additional causes for discrepancies between observations and predictions.