<div class="eI0"> <div class="eI1">Model:</div> <div class="eI2"><h2><a href="http://en.wikipedia.org/wiki/European_Centre_for_Medium-Range_Weather_Forecasts" target="_blank">ECMWF</a>: Global weather forecast model from the "European Centre for Medium-Range Weather Forecasts". ECMWF is now running its own Artificial Intelligence/Integrated Forecasting System (AIFS) as part of its experiment suite. These machine-learning-based models are very fast, and they produce a 10-day forecast with 6-hourly time steps in approximately one minute. </h2></div> </div> <div class="eI0"> <div class="eI1">Updated:</div> <div class="eI2">4 times per day, from 3:30, 09:30, 15:30 and 21:30 UTC</div> </div> <div class="eI0"> <div class="eI1">Greenwich Mean Time:</div> <div class="eI2">12:00 UTC = 14:00 SELČ</div> </div> <div class="eI0"> <div class="eI1">Resolution:</div> <div class="eI2">0.25° x 0.25°</div> </div> <div class="eI0"> <div class="eI1">Parametr:</div> <div class="eI2">Precipitation in mm (or litres per square metres)</div> </div> <div class="eI0"> <div class="eI1">Vysvětlení:</div> <div class="eI2"> The precipitation map - updated every 6 hours - shows the modeled precipitation in mm. The precipitation areas are encircled by isohyets - lines with equal amounts of precipitation. However, modeling precipitation is still not very reliable. If you compare the modeled results with observed values you will realize that the model is nothing better than a first order approach. Yet this chart is of some use for forecasters.<br> Note: Based on international convention meteorologists use the metric system. 100 mm of precipitation is equivalent to roughly 4 inches. </div> </div> <div class="eI0"> <div class="eI1">NWP:</div> <div class="eI2">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.<br> <br>Wikipedia, Numerical weather prediction, <a href="http://en.wikipedia.org/wiki/Numerical_weather_prediction" target="_blank">http://en.wikipedia.org/wiki/Numerical_weather_prediction</a>(as of Feb. 9, 2010, 20:50 UTC).<br> </div></div> </div>