
On the concept and implementation of sequential analysis for linear random fields
Abstract
Formulas are derived for the optimum (least-mean-square) linear mixing of prognostic information and synoptic observations in objective analyses. Exploitation of these results makes possible a continuing synoptic analysis, updated as new measurements are reported, without the necessity of globally simultaneous observations. For the special case of an unbounded, spatially periodic observation lattice in a homogeneous field, solutions in the wave-number domain are obtained. A one-dimensional wave equation and a thermal diffusion problem are treated as examples.
This research has been supported in part by the Techniques Development Laboratory, Weather Bureau, Environmental Science Services Administration, United States Department of Commerce.
© 1968 Daniel P. Petersen, published by Stockholm University Press
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