Four-dimensional variational data assimilation in numerical weather prediction
Abstract
Data assimilation is a very complicated cycle in numerical weather prediction and influences the quality of forecast. In this technique, the observered meteorological data are combined with the results of previous short-range forecast of the model to make an initial condition for a new prediction.
This paper presents: four-dimensional variational assimilation (4D-Var), the most advanced technique for the data assimilation; the application of data assimilation in numerical weather prediction in Vietnam at present and the development of this technique in future.
điểm /
đánh giá
Published
2009-06-08
Issue
Section
ARTILES
Copyright belongs to VNU-HCM “Science and Technology Development” Journal. Any copy or reprinting of any form must be permitted by the Journal.