Multivariate methods for the detection of greenhouse-gas-induced climate change

Santer, B. D., Wigley, T. M.L., Jones, P. D. and Schlesinger, M. E. (1991) Multivariate methods for the detection of greenhouse-gas-induced climate change. Greenhouse Gas Induced Climatic Change. pp. 511-536.

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Abstract

This investigation considers whether observed changes in surface air temperature are consistent with GCM equilibrium response predictions for a doubling of atmospheric CO2. The model considered is a version of the Oregon State University (OSU) atmospheric general circulation model (AGCM). Two possible explanations for the low degree of correspondence between observed and simulated patterns of temperature change are considered. The first is that the observed temperature signal is still too small to be detected against the background noise of natural variability. The second explanation is that the model signal may be erroneous due to model deficiencies and/or inherent differences in equilibrium and transient patterns of temperature change. -from Authors

Item Type:	Article
Uncontrolled Keywords:	environmental science(all),earth and planetary sciences(all) ,/dk/atira/pure/subjectarea/asjc/2300
Faculty \ School:	Faculty of Science > School of Environmental Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	23 Mar 2026 10:30
Last Modified:	23 Mar 2026 10:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/102548
DOI:

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