Asymmetric filters for analyzing time series of atmospheric constituent data

Asymmetric filters for analyzing time series of atmospheric constituent data

ABSTRACT We consider the design of asymmetric digital filters for extracting estimates of long‐term trends and seasonal cycles from monthly mean values of atmospheric constituent data. It is possible to reduce the amount of data lost from the end of the records at the expense of a relatively small i...

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Veröffentlicht in:Tellus. Series A, Dynamic meteorology and oceanography Dynamic meteorology and oceanography, 1989-03, Vol.41A (2), p.109-114
Hauptverfasser: ENTING, I. G., ROBBINS, F. J.
Format: Artikel
Sprache:eng
Schlagworte:
Chemical composition and interactions. Ionic interactions and processes
Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
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Zusammenfassung:ABSTRACT We consider the design of asymmetric digital filters for extracting estimates of long‐term trends and seasonal cycles from monthly mean values of atmospheric constituent data. It is possible to reduce the amount of data lost from the end of the records at the expense of a relatively small increase in the mean‐square error in the estimated signals.
ISSN:0280-6495
1600-0870
DOI:10.1111/j.1600-0870.1989.tb00369.x