Signal and noise in global warming detection. Final progress report, July 15, 1990--July 14, 1994 | Zendy

G.D. North | Zendy

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Signal and noise in global warming detection. Final progress report, July 15, 1990--July 14, 1994

Author(s) -

G.D. North

Publication year - 1995

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/290984

Subject(s) - noise (video) , smoothing , environmental science , filter (signal processing) , mean squared error , global warming , meteorology , signal (programming language) , point (geometry) , computer science , mathematics , statistics , climate change , geography , geology , oceanography , artificial intelligence , image (mathematics) , programming language , geometry , computer vision

This research considers the mean squared error (MSE) incurred in estimating an idealized earth`s global average temperature with a finite network of point gauges distributed optimally over the globe. The construction of a linear smoothing filter is considered for estimating the forced part of a change in a climatological field such as the surface temperature. The filter is optimal in the sense that is suppresses the natural variability of noise relative to the forced part or signal to the maximum extent possible

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