<div class="eI0"> <div class="eI1">模å¼:</div> <div class="eI2"><h2><a href="http://dd.meteo.gc.ca/doc/LICENCE_GENERAL.txt" target="_blank">CMC</a>: "Data Source: Environment and Climate Change Canada"</h2></div> </div> <div class="eI0"> <div class="eI1">æ›´æ–°:</div> <div class="eI2">2 times per day, from 10:00 and 23:00 UTC</div> </div> <div class="eI0"> <div class="eI1">æ ¼æž—å°¼æ²»å¹³æ—¶:</div> <div class="eI2">12:00 UTC = 20:00 北京时间</div> </div> <div class="eI0"> <div class="eI1">Resolution:</div> <div class="eI2">0.24° x 0.24°</div> </div> <div class="eI0"> <div class="eI1">å‚é‡:</div> <div class="eI2"><font face="夹å‘ç °" size="2"> Tmax 2m:<br> 地é¢ä»¥ä¸Š2米处的最高温度 </div> </div> <div class="eI0"> <div class="eI1">æè¿°:</div> <div class="eI2"> 这幅图显示由ANV-模å¼ç®—出的6到12点和12到18点UTC的最高温度。 尽管模å¼ç®—出的2ç±³-温度åŒå®žæµ‹å€¼å¸¸å¸¸ä¸ä¸€è‡´ï¼Œä½†æ˜¯åªè¦æ»¡è¶³ä¸‹åˆ—æ¡ä»¶:<br> 1. 有850百帕温度资料;<br> 2. 有天气报;<br> 3. 有ç»éªŒçš„预报员,<br> 报好Tmax 2m 是完全å¯èƒ½çš„。 <br><br> </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://zh.wikipedia.org/wiki/數值天氣é å ±" target="_blank">http://zh.wikipedia.org/wiki/數值天氣é å ±</a>(as of Feb. 9, 2010, 20:50 UTC).<br> </div></div> </div>