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An Optimal Regional Averaging Method with Error Estimates and a Test Using Tropical Pacific SST Data
1998
Journal of Climate
This paper provides a systematic procedure for computing the regional average of climate data in a subregion of the earth surface using the covariance function written in terms of empirical orthogonal functions (EOFs). The method is optimal in the sense of minimum mean square error (mse) and gives an mse estimate of the averaging results. The random measurement error is also included in the total mse. Since the EOFs can account for spatial inhomogeneities, the method can be more accurate than
doi:10.1175/1520-0442(1998)011<2340:aoramw>2.0.co;2
fatcat:ebi4jlxk2nesln7fwfd23sm2v4