期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2008
卷号：1
出版社：IOP Publishing
摘要：Data assimilation techniques are methods to limit the growth of errors in a
dynamical model by allowing observations distributed in space and time to force
(nudge) model solutions. They have become common for meteorological model
applications in recent years, especially to enhance weather forecast and to
support air-quality studies. In order to investigate the influence of different
data assimilation techniques on the meteorological fields produced by RAMS
model, and to evaluate their effects on the ozone and PM10
concentrations predicted by FARM model, several numeric experiments were
conducted over the urban area of Rome, Italy, during a summer episode.
