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Initialization
Author(s)
Date Issued
2010-08
Date Available
2011-07-19T15:27:52Z
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.
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.
Sponsorship
Not applicable
Type of Material
Book Chapter
Publisher
Springer
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2010
Subjects
Subject – LCSH
Numerical weather forecasting
Language
English
Status of Item
Peer reviewed
Journal
Lahoz, W. et al (eds.). Data assimilation : making sense of observations
ISBN
9783540747024
This item is made available under a Creative Commons License
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Initialization-SPRINGER.pdf
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580.97 KB
Format
Adobe PDF
Checksum (MD5)
073b2dddd998f3f4ac64d90eb3f6402d
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