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

Technical Report · Fri May 19 00:00:00 EDT 1995

DOI:https://doi.org/10.2172/290984· OSTI ID:290984

North, G D

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.

• Research Organization: Texas A and M Research Foundation, Meteorology Dept., College Station, TX (United States)
• Sponsoring Organization: USDOE Office of Energy Research, Washington, DC (United States)
• DOE Contract Number: FG05-90ER61018
• OSTI ID: 290984
• Report Number(s): DOE/ER/61018-T2; ON: DE99000967; TRN: AHC29901%%189
• Resource Relation: Other Information: PBD: 19 May 1995
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
PROGRESS REPORT
GLOBAL ASPECTS
GREENHOUSE EFFECT
AMBIENT TEMPERATURE
TEMPERATURE MEASUREMENT
DATA COVARIANCES
SIGNAL-TO-NOISE RATIO