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|Permanent link:||http://hdl.handle.net/10197/3023||Date:||Aug-2010||Abstract:||The spectrum of atmospheric motions is vast, encompassing phenomena having periods ranging from seconds to millennia. The motions of interest to the forecaster typically have time-scales of a day or longer, but the mathematical models used for numerical prediction describe a broader span of dynamical features than those of direct concern. For many purposes these higher frequency components can be regarded as noise contaminating the motions of meteorological interest. The elimination of this noise is achieved by adjustment of the initial fields, a process called initialization.||Funding Details:||Not applicable||Type of material:||Book Chapter||Publisher:||Springer||Copyright (published version):||Springer-Verlag Berlin Heidelberg 2010||Keywords:||Numerical weather prediction||Subject LCSH:||Numerical weather forecasting||DOI:||10.1007/978-3-540-74703-1||Language:||en||Status of Item:||Peer reviewed||Is part of:||Lahoz, W. et al (eds.). Data assimilation : making sense of observations|
|Appears in Collections:||Mathematics and Statistics Research Collection|
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