Adaptive data assimilation is becoming an increasingly important aspect of numerical weather prediction. Traditional data assimilation involves combining a set of routine observations with a first-guess field provided by a numerical weather prediction model to produce an analysis of the atmospheric state. These analyses subsequently serve as the initial conditions for extended forecasts.
|Title of host publication||Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)|
|Publisher||Springer Berlin Heidelberg|
|Number of pages||21|
|State||Published - Jan 1 2013|