Affiliation:
1. Institute of Atmospheric Optics of the SB RAS, Tomsk, Russia
Abstract
Abstract
A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic–stochastic model of space–time variations of the atmospheric parameters. The results of statistical estimation of the quality of the algorithm used for spatial extrapolation of mesoscale temperature and wind velocity fields are discussed.
Publisher
American Meteorological Society
Subject
Atmospheric Science,Ocean Engineering
Reference18 articles.
1. Methods of Climatic Processing and Analysis of Aerological Information.;Bryukhan,1983
2. An introduction to estimation theory.;Cohn;J. Meteor. Soc. Japan,1997
3. Variational methods.;Courtier;J. Meteor. Soc. Japan,1997
4. The ensemble Kalman filter: Theoretical formulation and practical implementation.;Evensen;Ocean Dyn.,2003
5. Statictics in Methods of Meteorological Data Interpretation.;Gandin,1976
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