J. Phys. IV France
Volume 12, Numéro 10, November 2002
Page(s) 49 - 55

J. Phys. IV France
12 (2002) Pr10-49
DOI: 10.1051/jp4:20020451

Fine-scale atmospheric modelling and predictability

F. Bouttier

CNRM, Méteó-France, 42 avenue Coriolis, 31057 Toulouse cedex, France

numerical modelling of small-scale atmospheric features requires an accurate description of the large- scale atmosphere, explicit representation of appropriate physical mechanisms, and assimilation of relevant meteorological data. This allows analysis and forecasting of important weather phenomena such as thunderstorms, floods, fog, orographically-induced winds, or urban weather and pollution. Depending on the situation, local weather may be more or less predictable than large-scale weather, and short-range forecasts may be harder to produce than longer-range ones.

© EDP Sciences 2002