Online versus offline air quality modeling on cloud-resolving scales

被引:55
作者
Grell, GA
Knoche, R
Peckham, SE
McKeen, SA
机构
[1] Univ Colorado, NOAA, Cooperat Inst Res Environm Sci, Res Forecast Syst, Boulder, CO 80503 USA
[2] Forschungszentrum Karlsruhe, Inst Meteorol & Climate Res, Atmospher Environm Res IMK IFU, D-82467 Garmisch Partenkirchen, Germany
[3] Univ Colorado, NOAA, Cooperat Inst Res Environm Sci, Res Aeron Lab, Boulder, CO 80503 USA
关键词
D O I
10.1029/2004GL020175
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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.
引用
收藏
页码:L161171 / 4
页数:4
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