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

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Description

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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3 p.

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North, G.D. May 19, 1995.

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Description

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.

Physical Description

3 p.

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OSTI as DE99000967

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  • Other Information: PBD: 19 May 1995

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  • Other: DE99000967
  • Report No.: DOE/ER/61018--T2
  • Grant Number: FG05-90ER61018
  • DOI: 10.2172/290984 | External Link
  • Office of Scientific & Technical Information Report Number: 290984
  • Archival Resource Key: ark:/67531/metadc685526

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Creation Date

  • May 19, 1995

Added to The UNT Digital Library

  • July 25, 2015, 2:20 a.m.

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  • Nov. 5, 2015, 3:49 p.m.

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North, G.D. Signal and noise in global warming detection. Final progress report, July 15, 1990--July 14, 1994, report, May 19, 1995; United States. (digital.library.unt.edu/ark:/67531/metadc685526/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.