<div class="eI0">
  <div class="eI1">Model:</div>
  <div class="eI2"><h2><a href="http://polar.ncep.noaa.gov/" target="_blank">WAVEWATCH III</a> Environmental Modeling Center</h2></div>
 </div>
 <div class="eI0">
  <div class="eI1">Updated:</div>
  <div class="eI2">Update monthly</div>
 </div>
 <div class="eI0">
  <div class="eI1">Greenwich Mean Time:</div>
  <div class="eI2">12:00 UTC = 17:00 IST</div>
 </div>
 <div class="eI0">
  <div class="eI1">Resolution:</div>
  <div class="eI2">0.2&deg; x 0.2&deg; for Mediterranean<br>1&deg; x 1&deg; for Rest of World</div>
 </div>
 <div class="eI0">
  <div class="eI1">Parameter:</div>
  <div class="eI2">Significant wave heights</div>
 </div>
 <div class="eI0">
  <div class="eI1">Description:</div>
  <div class="eI2">

The significant wave height is a commonly used statistical measure for the
wave height, and closely corresponds to what a trained observer would
consider to be the mean wave height. Note that the highest wave height of an
individual wave will be significantly larger. The peak period is not
commonly presented. The wave field generally consists of a set of individual
wave fields. The peak period identifies either the locally generated "wind
sea" (in cases with strong local winds) or the dominant wave system
("swell") that is generated elsewhere. Note that the peak period field shows
discontinuities. These discontinuities can loosely be interpreted as swell
fronts, although in reality many swell systems overlap at most locations and
times (see spectra below).

    
  </div>
 </div>
  <div class="eI0">
   <div class="eI1">NWW3:</div>
   <div class="eI2">
 The NOAA WAVEWATCH IIIâ„¢ operational wave model suite consists of a set of
 five wave models, based on version 2.22 of WAVEWATCH IIIâ„¢. All models use
 the default settings of WAVEWATCH IIIâ„¢ unless specified differently.
 
 <ol>
     <li> The global NWW3 model </li>
     <li> The regional Alaskan Waters (AKW) model </li>
     <li> The regional Western North Atlantic (WNA) model </li>
     <li> The regional North Atlantic Hurricane (NAH) model </li>
     <li> The regional Eastern North Pacific (ENP) model </li>
     <li> The regional North Pacific Hurricane (NPH) model </li>
 </ol>
 
 All regional models obtain hourly boundary data from the global model. All
 models are run on the 00z, 06z, 12z and 18z model cycles, and start with a
 6h hindcast to assure continuity of swell. All models provides 126 hour
 forecasts, with the exception of the NAH model (72 hour forecast). No wave
 data assimilation is performed. All models are based on shallow water
 physics without mean currents. Additional model information is provided in
 the table and bullets below. The four time steps are the global step,
 propagation step for longest wave, refraction step and minimum source term
 step. 
 </div></div>
<div class="eI0">
  <div class="eI1">Introduction to seasonal forecasting:</div>
  <div class="eI2">The production of seasonal forecasts, also known as seasonal climate forecasts, has undergone a huge transformation in the last few decades: from a purely academic and research exercise in the early '90s to the current situation where several meteorological forecast services, throughout the world, conduct routine operational seasonal forecasting activities. Such activities are devoted to providing estimates of statistics of weather on monthly and seasonal time scales, which places them somewhere between conventional weather forecasts and climate predictions. <br>&nbsp;<br>
In that sense, even though seasonal forecasts share some methods and tools with weather forecasting, they are part of a different paradigm which requires treating them in a different way. Instead of trying to answer to the question "how is the weather going to look like on a particular location in an specific day?", seasonal forecasts will tell us how likely it is that the coming season will be wetter, drier, warmer or colder than 'usual' for that time of year. This kind of long term predictions are feasible due to the behaviour of some of the Earth system components which evolve more slowly than the atmosphere (e.g. the ocean, the cryosphere) and in a predictable fashion, so their influence on the atmosphere can add a noticeable signal.<br>
&copy;<a href="https://confluence.ecmwf.int/display/COPSRV/Seasonal+forecasts+and+the+Copernicus+Climate+Change+Service#SeasonalforecastsandtheCopernicusClimateChangeService-Introductiontoseasonalforecasting">Copernicus</a>
</div></div>
</div>