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.
DOI: https://doi.org/10.3402/tellusa.v41i2.11824 | Journal eISSN: 3035-9554
Language: English
Page range: 109 - 114
Submitted on: Feb 11, 1988
Accepted on: May 25, 1988
Published on: Jan 1, 1989
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 1989 I. G. Enting, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.
