<div class="eI0">
  <div class="eI1">Model:</div>
  <div class="eI2"><h2><a href="http://www.emc.ncep.noaa.gov/GFS/doc.php" target="_blank">GFS</a> (Global Forecast System) Global Model from the "National Centers for Environmental Prediction" (NCEP)</h2></div>
 </div>
 <div class="eI0">
  <div class="eI1">Zaktualizowano:</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">Czas uniwersalny:</div>
  <div class="eI2">12:00 UTC = 13:00 CET</div>
 </div>
 <div class="eI0">
  <div class="eI1">Rozdzielczo&#347;&#263;:</div>
  <div class="eI2">0.5&deg; x 0.5&deg; for forecast time <= 384 hrs</div>
 </div>
 <div class="eI0">
  <div class="eI1">parametr:</div>
  <div class="eI2">Relative Humidity at 700 hPa </div>
 </div>
 <div class="eI0">
  <div class="eI1">Opis:</div>
  <div class="eI2">
This chart shows the relative humidity at Pa. In the forefield of a trough line 
as well as at and near fronts (Jets), warmer less dense air is forced to ascend.
As the ascending air cooles, the relative humidity increases, eventually resulting 
in condensation and the formation of clouds.This process is known as frontal lifting. <br>
High relative humidity at 700 hPa - equivalent to ca. 10000 ft a.s.l.  - indicates 
the areas of frontal lifting and thus the active zones of the current weather.
    
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 <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">GFS:</div>
  <div class="eI2">The Global Forecast System (<a href="http://www.emc.ncep.noaa.gov/gmb/moorthi/gam.html" target="_blank">GFS</a>) is a global numerical weather prediction computer model run by NOAA. This mathematical model is run four times a day and produces forecasts up to 16 days in advance, but with decreasing spatial and temporal resolution over time it is widely accepted that beyond 7 days the forecast is very general and not very accurate.<br>
<br>
The model is run in two parts: the first part has a higher resolution and goes out to 180 hours (7 days) in the future, the second part runs from 180 to 384 hours (16 days) at a lower resolution. The resolution of the model varies in each part of the model: horizontally, it divides the surface of the earth into 35 or 70 kilometre grid squares; vertically, it divides the atmosphere into 64 layers and temporally, it produces a forecast for every 3rd hour for the first 180 hours, after that they are produced for every 12th hour.
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 <div class="eI0">
  <div class="eI1">NWP:</div>
  <div class="eI2">Numeryczna prognoza pogody - ocena stanu atmosfery w przysz&#322;o&#347;ci na podstawie znajomo&#347;ci warunk&oacute;w pocz&#261;tkowych oraz si&#322; dzia&#322;aj&#261;cych na powietrze. Numeryczna prognoza oparta jest na rozwi&#261;zaniu r&oacute;wna&#324; ruchu powietrza za pomoc&#261; ich dyskretyzacji i wykorzystaniu do oblicze&#324; maszyn matematycznych.<br>
Pocz&#261;tkowy stan atmosfery wyznacza si&#281; na podstawie jednoczesnych pomiar&oacute;w na ca&#322;ym globie ziemskim. R&oacute;wnania ruchu cz&#261;stek powietrza wprowadza si&#281; zak&#322;adaj&#261;c, &#380;e powietrze jest ciecz&#261;. R&oacute;wna&#324; tych nie mo&#380;na rozwi&#261;zać w prosty spos&oacute;b. Kluczowym uproszczeniem, wymagaj&#261;cym jednak zastosowania komputer&oacute;w, jest za&#322;o&#380;enie, &#380;e atmosfer&#281; mo&#380;na w przybli&#380;eniu opisać jako wiele dyskretnych element&oacute;w na kt&oacute;re oddzia&#322;ywaj&#261; rozmaite procesy fizyczne. Komputery wykorzystywane s&#261; do oblicze&#324; zmian w czasie temperatury, ci&#347;nienia, wilgotno&#347;ci, pr&#281;dko&#347;ci przep&#322;ywu, i innych wielko&#347;ci opisuj&#261;cych element powietrza. Zmiany tych w&#322;asno&#347;ci fizycznych powodowane s&#261; przez rozmaitego rodzaju procesy, takie jak wymiana ciep&#322;a i masy, opad deszczu, ruch nad g&oacute;rami, tarcie powietrza, konwekcj&#281;, wpływ promieniowania s&#322;onecznego, oraz wp&#322;yw oddziaływania z innymi cz&#261;stkami powietrza. Komputerowe obliczenia dla wszystkich element&oacute;w atmosfery daj&#261; stan atmosfery w przysz&#322;o&#347;ci czyli prognoz&#281; pogody.<br>
W dyskretyzacji r&oacute;wna&#324; ruchu powietrza wykorzystuje si&#281; metody numeryczne r&oacute;wna&#324; r&oacute;&#380;niczkowych cz&#261;stkowych - st&#261;d nazwa numeryczna prognoza pogody.<br>
<br>Zobacz Wikipedia, Numeryczna prognoza pogody, <a href="http://pl.wikipedia.org/wiki/Numeryczna_prognoza_pogody" target="_blank">http://pl.wikipedia.org/wiki/Numeryczna_prognoza_pogody</a> (dost&#281;p lut. 9, 2010, 20:49 UTC).<br>
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