Conference publications Copyright (c) 2013 Utah State University All rights reserved. http://digitalcommons.usu.edu/atmlidar_conf Recent documents in Conference publications en-us Sun, 27 Jan 2013 01:54:13 PST 3600 The effects of large data gaps on estimating linear trend in autocorrelated data http://digitalcommons.usu.edu/atmlidar_conf/1 http://digitalcommons.usu.edu/atmlidar_conf/1 Wed, 17 Aug 2011 12:22:44 PDT It is well known that atmospheric data is autocorrelated. Techniques for fitting a model to autocorrelated data without data gaps are well known. However in cases where large data gaps exist the analysis ins more challenging. By large data gaps we mean 16-24% of the possible data present. This paper explores the challenges of estimating the correlation coefficient in an autocorrelated data set containing large data gaps and suggests ways to accurately estimate the autocorrelation and linear trend in a signal when such cases arise.

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