TY - JOUR
T1 - A hybrid model for ozone forecasting
AU - Weinroth, Erez
AU - Stockwell, William
AU - Koračin, Darko
AU - Kahyaoglu-Koračin, Julide
AU - Luria, Menachem
AU - McCord, Travis
AU - Podnar, Domagoj
AU - Gertler, Alan
PY - 2008/9
Y1 - 2008/9
N2 - Significant uncertainties in the prediction of pollutant transport and dispersion limit the accuracy of air quality in areas with complex terrain, such as along the California coastline, which suffers from elevated air pollutant concentrations. Typical Lagrangian air quality models treat the dispersion of plumes better than Eulerian models but the chemical interactions induced by the mixing of intersecting plumes are ignored. In contrast, Eulerian models treat the emissions as well mixed within each grid box. To address these limitations, an air quality model with in-line chemistry and meteorology that combines the advantages of the Eulerian and Lagrangian approach to air quality modeling has been developed. In order to evaluate the model, simulation results of ozone concentrations were compared against a commonly used photochemical model (CAMx) and with airborne data from a field study made in the San Diego area of southwestern California.
AB - Significant uncertainties in the prediction of pollutant transport and dispersion limit the accuracy of air quality in areas with complex terrain, such as along the California coastline, which suffers from elevated air pollutant concentrations. Typical Lagrangian air quality models treat the dispersion of plumes better than Eulerian models but the chemical interactions induced by the mixing of intersecting plumes are ignored. In contrast, Eulerian models treat the emissions as well mixed within each grid box. To address these limitations, an air quality model with in-line chemistry and meteorology that combines the advantages of the Eulerian and Lagrangian approach to air quality modeling has been developed. In order to evaluate the model, simulation results of ozone concentrations were compared against a commonly used photochemical model (CAMx) and with airborne data from a field study made in the San Diego area of southwestern California.
KW - Air quality modeling
KW - Atmospheric chemistry
KW - Coastal meteorology
KW - Lagrangian dispersion
KW - Model validation
UR - http://www.scopus.com/inward/record.url?scp=51349133017&partnerID=8YFLogxK
U2 - 10.1016/j.atmosenv.2008.04.058
DO - 10.1016/j.atmosenv.2008.04.058
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AN - SCOPUS:51349133017
SN - 1352-2310
VL - 42
SP - 7002
EP - 7012
JO - Atmospheric Environment
JF - Atmospheric Environment
IS - 29
ER -