Model:

GME (Global weather forecast model) from the German Weather Service

Ververst:
2 times per day, from 10:00 and 23:00 UTC
Greenwich Mean Time:
12:00 UTC = 13:00 MET
Resolutie:
0.25° x 0.25°
Parameter:
Relatieve Luchtvochtigheid op 850 hPa
Beschrijving:
Deze kaart laat de berekende relatieve luchtvochtigheid zien op 850 hPa. Globaal gezegd stijgt lucht op aan de voorkant van troggen en bij fronten. De opstijgende lucht koelt af. Daarbij neemt de relatieve luchtvochtigheid toe. Op een gegeven moment condenseert er vocht en ontstaat er wolkenvorming. Hoge vochtwaardes op 850 hPa - dat is op ca. 1500 m boven zeeniveau - hangen meestal samen met stijgings- en neerslag-actieve gebieden.
GME:
GME is the first operational weather forecast model which uses an icosahedral-hexagonal grid covering the globe. In comparison to traditional grid structures like latitude-longitude grids the icosahedral-hexagonal grid offers the advantage of a rather small variability of the area of the grid elements. Moreover, the notorious "pole-problem" of the latitude-longitude grid does not exist in the GME grid.
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).