Physics
Scientific paper
Aug 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3116117g&link_type=abstract
Geophysical Research Letters, Volume 31, Issue 16, CiteID L16117
Physics
5
Atmospheric Composition And Structure: Cloud Physics And Chemistry, Atmospheric Composition And Structure: Pollution-Urban And Regional (0305), Atmospheric Composition And Structure: Troposphere-Constituent Transport And Chemistry, Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Mesoscale Meteorology
Scientific paper
Computational advances now allow air quality forecast models to fully couple the meteorology with chemical constituents within a unified modeling system - online - that allows two-way interactions. The more common approach is the offline system, which only allows one-way coupling from the meteorology - sampled at fixed time intervals - to the chemistry. To study the information loss between online and offline numerical forecasts, a next-generation nonhydrostatic air quality modeling system has been developed that can be used both offline or online. First, a control online air quality simulation is conducted and the meteorology and chemical data are saved at a 10 s time interval. Subsequently, three offline simulations are conducted with meteorological data updates at 10, 30, and 60 min time intervals. Analysis of the wind velocity power spectrum and chemical profiles indicate that the offline simulations are susceptible to large errors in the vertical mass distribution.
Grell Georg A.
Knoche Richard
McKeen Stuart A.
Peckham Steven E.
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