<div class="eI0">
  <div class="eI1">Model:</div>
  <div class="eI2"><h2><a href="http://www.jma.go.jp/jma/indexe.html" target="_blank">JMA</a>: Global weather forecast model from the "Japan Meteorological Agency"</h2></div>
 </div>
 <div class="eI0">
  <div class="eI1">Ververst:</div>
  <div class="eI2">2 times per day, from 10:00 and 23:00 UTC</div>
 </div>
 <div class="eI0">
  <div class="eI1">Greenwich Mean Time:</div>
  <div class="eI2">12:00 UTC = 13:00 MET</div>
 </div>
 <div class="eI0">
  <div class="eI1">Resolutie:</div>
  <div class="eI2">2.5&deg; x 2.5&deg;</div>
 </div>
 <div class="eI0">
  <div class="eI1">Parameter:</div>
  <div class="eI2">Neerslag in Europa in mm</div>
 </div>
 <div class="eI0">
  <div class="eI1">Beschrijving:</div>
  <div class="eI2">
De kaart &#34;Neerslag&#34; 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.
    
  </div>
 </div>
 <div class="eI0">
  <div class="eI1">Cluster of Ensemble Members:</div>
  <div class="eI2">
20 members of an ensemble run are divided into different clusters which means groups with similar members according to the hierarchical "Ward method"
The average surface pressure of all members in each cluster are computed and shown as isobares.
The number of members in each cluster determines the probability of the forecast (see percentage)
   </div>
  </div>
 <div class="eI0">
  <div class="eI1">Dendrogram:</div>
  <div class="eI2">
A dendrogram shows the multidimensional distances between objects in a tree-like structure.  Objects that are closest in a multidimensional data space are connected by a horizontal line forming a cluster. The distance between a given pair of objects (or clusters) are indicated by the height of the horizontal line.
[http://www.statistics4u.info/fundstat_germ/cc_dendrograms]. The greater the distance the bigger the differences.
   </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>