WAVEWATCH III Environmental Modeling Center
|Updated:||4 times per day, from 3:30, 09:30, 15:30 and 21:30 GMT|
|Greenwich Mean Time:||12:00 GMT = 12:00 GMT|
|Resolution:||0.2° x 0.2° for Mediterranean|
1° x 1° for Rest of World
|Parameter:||Significant wave heights|
|Description:||The significant wave height is a commonly used statistical measure for the wave height, and closely corresponds to what a trained observer would consider to be the mean wave height. Note that the highest wave height of an individual wave will be significantly larger. The peak period is not commonly presented. The wave field generally consists of a set of individual wave fields. The peak period identifies either the locally generated "wind sea" (in cases with strong local winds) or the dominant wave system ("swell") that is generated elsewhere. Note that the peak period field shows discontinuities. These discontinuities can loosely be interpreted as swell fronts, although in reality many swell systems overlap at most locations and times (see spectra below).|
The NOAA WAVEWATCH III™ operational wave model suite consists of a set of
five wave models, based on version 2.22 of WAVEWATCH III™. All models use
the default settings of WAVEWATCH III™ unless specified differently.
|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 GMT).