Modelo:

Actualizado:

4 times per day, from 08:00, 14:00, 20:00, and 00:00 UTC

Tiempo medio de Greenwich:

12:00 UTC = 14:00 CEST

Resolutión:

0.01° x 0.01°

Parámetro:

Dew-point at 2m in hPa/h

Descripción:

The dew-point is the temperature air would have to be cooled to in order for saturation to occur. The dew-point temperature assumes there is no change in air pressure or moisture content of the air. Dew-point does not change with temperature of the air; very much different from relative humidity.

The dew-point can be used to forecast low temperatures. The low will rarely fall far below the observed dew-point value in the evening (unless a front brings in a different air mass). Once the temperature drops to the dew-point, latent heat must be released to the atmosphere for the condensation process to take effect. This addition of heat offsets some or all of further cooling.

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).