<div class="eI0">
  <div class="eI1">Modello:</div>
  <div class="eI2"><h2>NAM: North American Mesoscale Forecast System "<a href="http://www.emc.ncep.noaa.gov/NAM/" target="_blank">NOAA</a>"</h2></div>
 </div>
 <div class="eI0">
  <div class="eI1">Aggiornato:</div>
  <div class="eI2">4 times per day, from 0:00, 06:00, 12:00 and 18:00 UTC</div>
 </div>
 <div class="eI0">
  <div class="eI1">Greenwich Mean Time:</div>
  <div class="eI2">12:00 UTC = 13:00 CET</div>
 </div>
 <div class="eI0">
  <div class="eI1">Risoluzione:</div>
  <div class="eI2">32km</div>
 </div>
 <div class="eI0">
  <div class="eI1">Parametro:</div>
  <div class="eI2">Lifted Index</div>
 </div>
 <div class="eI0">
  <div class="eI1">Descrizione:</div>
  <div class="eI2">
<!--begin info text LI-->
<p>
The Lifted Index (LI) is defined as a rising parcel's temperature when it reaches 
the 500 millibars level (at about 5,500m or 18,000 feet asl), subtracted from 
the actual temperature of the environmental air at 500 mbar. If the Lifted 
Index is a large negative number, then the parcel will be much warmer than its 
surroundings, and will continue to rise. Thunderstorms are fueled by strong rising air, thus the 
Lifted Index is a good measurement of the atmosphere's potential to produce 
severe thunderstorms. 
</p>
<p>
<!--begin LI table-->
<body>
<table width="400" cellspacing="0" cellpadding="0" border="0">
  <tr height="30" bgcolor="#E5E5E5"><!-- Row 1 -->
    <td colspan="4"><font size="3" face="Arial, Helvetica" color="#0000FF">The Lifted Index (LI)</td>
  </tr>
  <tr height="30"><!-- Row 2 -->
    <td width="17%" valign="top"><font size="1" face="Arial, Helvetica"><center>RANGE IN K</center></td>
    <td bgcolor="#E5E5E5" width="20%" valign="top"><font size="1" face="Arial, Helvetica"><center>COLOR</center></td>
    <td width="30%" valign="top"><font size="1" face="Arial, Helvetica"><center>AMOUNT OF INSTABILITY</center></td>
    <td widht="33%" valign="top"><font size="1" face="Arial, Helvetica"><center>THUNDERSTORM PROBABILITY</center></td>
  </tr>
  <tr height="25" bgcolor="#E5E5E5"><!-- Row 3 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>more than 11</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica" color="#00A1E6"><center>BLUE</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Extremely stable conditions</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorms unlikely</center></td>
  </tr>
  <tr height="25"><!-- Row 4 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>8 to 11</center></td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#00C7C7"><center>LIGHT BLUE</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Very stable conditions</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorms unlikely</center></td>
  </tr>
  <tr height="25" bgcolor="#E5E5E5"><!-- Row 5 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>4 to 7</center></td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#00D18C"><center>GREEN</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Stable conditions</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorms unlikely</center></td>
  </tr>
  <tr height="25"><!-- Row 6 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>0 to 3</center></td>
    <td bgcolor="#E5E5E5"valign="top"><font size="1" face="Arial, Helvetica" color="#A1E633"><center>LIGHT GREEN</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Mostly stable conditions</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorm unlikely</center></td>
  </tr>
  <tr height="25" bgcolor="#E5E5E5"><!-- Row 7 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>-3 to -1</center></td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#E6DC33"><center>YELLOW</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Slightly unstable</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorms possible</center></td>
  </tr>
  <tr height="25"><!-- Row 8 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>-5 to -4</center></td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#F08229"><center>ORANGE</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Unstable</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Thunderstorms probable</center></td>
  </tr>
  <tr height="25" bgcolor="#E5E5E5"><!-- Row 9 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>-7 to -6</center></td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#F00000"><center>RED</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Highly unstable</center></td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Severe thunderstorms possible</center></td>
  </tr>
  <tr height="25"><!-- Row 10 -->
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>less than -7</td>
    <td bgcolor="#E5E5E5" valign="top"><font size="1" face="Arial, Helvetica" color="#FF00FF"><center>VIOLET</td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Extremely unstable</td>
    <td valign="top"><font size="1" face="Arial, Helvetica"><center>Violent thunderstorms, tornadoes possible</td>
  </tr>
</table>
<!--end LI table-->
</p>
<!--end info_text LI-->

    
  </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>