<div class="eI0">
  <div class="eI1">жЁЎејЏ:</div>
  <div class="eI2"><h2><a href="http://www.dwd.de/" target="_blank" target="_blank">ICON</a>(ICOsahedral Nonhydrostatic general circulation model) from the German Weather Service</h2></div>
 </div>
 <div class="eI0">
  <div class="eI1">更新:</div>
  <div class="eI2">2 times per day, from 00:00 and 12:00 UTC</div>
 </div>
 <div class="eI0">
  <div class="eI1">ж јжћ—е°јжІ»е№іж—¶:</div>
  <div class="eI2">12:00 UTC = 20:00 еЊ—дє¬ж—¶й—ґ</div>
 </div>
 <div class="eI0">
  <div class="eI1">Resolution:</div>
  <div class="eI2">0.02&deg; x 0.02&deg;</div>
 </div>
 <div class="eI0">
  <div class="eI1">еЏ‚й‡Џ:</div>
  <div class="eI2"><font face="夹发砰" size="2"> 降水:<br>东亚降水(毫米或升/平方米) </div>
 </div>
 <div class="eI0">
  <div class="eI1">жЏЏиї°:</div>
  <div class="eI2">
降水图 - 每6小时更新一次 - 显示东亚地区模式计算的降水分布情况。
й™Ќж°ґеЊєз”Ёз­‰й›Ёй‡Џзєїж ‡е‡єгЂ‚
然而,目前模式算出的降水还不是很可靠。如果您比较一下模式结果和降水实测值,您会
发现模式结果只能算得上降水的一级近似值。不过,这幅图对于专业气象预报员却是个重
еЏ‚иЂѓгЂ‚ <br><br>
    
  </div>
 </div>
 <div class="eI0">
  <div class="eI1">Spaghetti plots:</div>
  <div class="eI2">
are a method of viewing data from an ensemble forecast.<br>
A meteorological variable e.g. pressure, temperature is drawn on a chart for a number of slightly different model runs from an ensemble. The model can then be stepped forward in time and the results compared and be used to gauge the amount of uncertainty in the forecast.<br>
If there is good agreement and the contours follow a recognisable pattern through the sequence then the confidence in the forecast can be high, conversely if the pattern is chaotic i.e resembling a plate of spaghetti then confidence will be low. Ensemble members will generally diverge over time and spaghetti plots are quick way to see when this happens.<br>
<br>Spaghetti plot. (2009, July 7). In Wikipedia, The Free Encyclopedia. Retrieved 20:22, February 9, 2010, from <a href="http://en.wikipedia.org/w/index.php?title=Spaghetti_plot&amp;oldid=300824682" target="_blank">http://en.wikipedia.org/w/index.php?title=Spaghetti_plot&amp;oldid=300824682</a>
   </div>
  </div>
 <div class="eI0">
  <div class="eI1">ICON-D2:</div>
  <div class="eI2"><a href="http://www.dwd.de/" target="_blank">ICON-D2</a> The ICON dynamical core is a development initiated by the Max Planck Institute for Meteorology (MPI-M) and the Opens external link in current windowGermany Weather Service (DWD). This dynamical core  is designed to better tap the potential of new generations of high performance computing, to better represent fluid conservation properties that are increasingly important for modelling the Earth system, to provide a more consistent basis for coupling the atmosphere and ocean and for representing subgrid-scale heterogeneity over land, and to allow regionalization and limited area implementations.<br>
</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://zh.wikipedia.org/wiki/數值天氣預報" target="_blank">http://zh.wikipedia.org/wiki/數值天氣預報</a>(as of Feb. 9, 2010, 20:50 UTC).<br>
</div></div>
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