Model:

Arome from Meteo France

Ververst:
4 times per day, from 08:00, 14:00, 20:00, and 00:00 UTC
Greenwich Mean Time:
12:00 UTC = 14:00 MEZT
Resolutie:
0.025° x 0.025°
Parameter:
Neerslag in Europa in mm
Beschrijving:
De kaart "Neerslag" laat 6-uurlijkse model-neerslag in mm zien. Met isolijnen worden contouren van verschillende neerslaghoeveelheden getoond. De modelberekeningen zijn in veel gevallen te gebruiken als verwachte radarbeelden. In frontensituaties is het model behoorlijk nauwkeurig; in buiensituaties wordt het lastiger. Desondanks is het een zeer belangrijk hulpmiddel voor meteorologen, maar ook voor iedereen die neerslagrisico's wil inschatten.
Arome:
Arome
The Arome forecasting system is a blend of the best components from the Méso-NH model, the Aladin model, and the IFS/Arpège data assimilation software. Its focus is on the numerical prediction of intense convective systems over mainland France by 2008. Other important weather phenomena will also begin to be reliably forecast, thanks to a high (kilometric) spatial resolution and the use of regional observing systems. The Arome software is designed to be accessible to a wide research community.
NWP:
Numerical weather prediction uses current weather conditions as input into mathematical models of the atmosphere to predict the weather. Although the first efforts to accomplish this were done in the 1920s, it wasn't until the advent of the computer and computer simulation that it was feasible to do in real-time. Manipulating the huge datasets and performing the complex calculations necessary to do this on a resolution fine enough to make the results useful requires the use of some of the most powerful supercomputers in the world. A number of forecast models, both global and regional in scale, are run to help create forecasts for nations worldwide. Use of model ensemble forecasts helps to define the forecast uncertainty and extend weather forecasting farther into the future than would otherwise be possible.

Wikipedia, Numerical weather prediction, http://en.wikipedia.org/wiki/Numerical_weather_prediction(as of Feb. 9, 2010, 20:50 UTC).