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

B. D. Santer, T. M.L. Wigley, P. D. Jones, M. E. Schlesinger

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

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

Original languageEnglish
Pages (from-to)511-536
Number of pages26
JournalGreenhouse Gas Induced Climatic Change
Publication statusPublished - 1991

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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