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Estimation of time averages from irregularly spaced observations - With application to coastal zone color scanner estimates of chlorophyll concentrationThe sampling error of an arbitrary linear estimate of a time-averaged quantity constructed from a time series of irregularly spaced observations at a fixed located is quantified through a formalism. The method is applied to satellite observations of chlorophyll from the coastal zone color scanner. The two specific linear estimates under consideration are the composite average formed from the simple average of all observations within the averaging period and the optimal estimate formed by minimizing the mean squared error of the temporal average based on all the observations in the time series. The resulting suboptimal estimates are shown to be more accurate than composite averages. Suboptimal estimates are also found to be nearly as accurate as optimal estimates using the correct signal and measurement error variances and correlation functions for realistic ranges of these parameters, which makes it a viable practical alternative to the composite average method generally employed at present.
Document ID
19910063760
Document Type
Reprint (Version printed in journal)
Authors
Chelton, Dudley B. (Oregon State Univ. Corvallis, OR, United States)
Schlax, Michael G. (Oregon State University Corvallis, United States)
Date Acquired
August 14, 2013
Publication Date
August 15, 1991
Publication Information
Publication: Journal of Geophysical Research
Volume: 96
ISSN: 0148-0227
Subject Category
OCEANOGRAPHY
Funding Number(s)
CONTRACT_GRANT: NAGW-1883
CONTRACT_GRANT: NAGW-869
Distribution Limits
Public
Copyright
Other