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The use of smoothing or filtering operators in numerical forecasting
Author(s) -
Wallington C. E.
Publication year - 1962
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.49708837809
Subject(s) - smoothing , spurious relationship , computation , basis (linear algebra) , computer science , simple (philosophy) , algorithm , numerical analysis , mathematics , mathematical optimization , machine learning , mathematical analysis , computer vision , geometry , philosophy , epistemology
With the view to improving numerical forecasts by damping the growth of spurious waves, particularly those with short wavelengths, smoothing operators have been applied to thickness and contour fields at intervals during the forecasting computations. There appears to be no simple objective method of determining sets of smoothing coefficients for the optimum improvement of a particular model, but preliminary attempts to smooth and improve numerical forecasts at Dunstable have been made on a trial and error basis. The results show the smoothing or filtering technique to be a powerful method of empirically improving numerical forecasts.