A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
The relationship between radiative forcing and temperature: What do statistical analyses of the instrumental temperature record measure?
Tekijät: Kaufmann Robert K., Kauppi Heikki, Stock James H.
Kustantaja: Springer
Julkaisuvuosi: 2006
Journal: Climatic Change
Tietokannassa oleva lehden nimi: CLIMATIC CHANGE
Lehden akronyymi: CLIMATIC CHANGE
Vuosikerta: 77
Aloitussivu: 279
Lopetussivu: 289
Sivujen määrä: 11
ISSN: 0165-0009
DOI: https://doi.org/10.1007/s10584-006-9063-0
Tiivistelmä
Comparing statistical estimates for the long-run temperature effect of doubled CO(2) with those generated by climate models begs the question, is the long-run temperature effect of doubled CO(2) that is estimated from the instrumental temperature record using statistical techniques consistent with the transient climate response, the equilibrium climate sensitivity, or the effective climate sensitivity. Here, we attempt to answer the question, what do statistical analyses of the observational record measure, by using these same statistical techniques to estimate the temperature effect of a doubling in the atmospheric concentration of carbon dioxide from seventeen simulations run for the Coupled Model Intercomparison Project 2 (CMIP2). The results indicate that the temperature effect estimated by the statistical methodology is consistent with the transient climate response and that this consistency is relatively unaffected by sample size or the increase in radiative forcing in the sample.
Comparing statistical estimates for the long-run temperature effect of doubled CO(2) with those generated by climate models begs the question, is the long-run temperature effect of doubled CO(2) that is estimated from the instrumental temperature record using statistical techniques consistent with the transient climate response, the equilibrium climate sensitivity, or the effective climate sensitivity. Here, we attempt to answer the question, what do statistical analyses of the observational record measure, by using these same statistical techniques to estimate the temperature effect of a doubling in the atmospheric concentration of carbon dioxide from seventeen simulations run for the Coupled Model Intercomparison Project 2 (CMIP2). The results indicate that the temperature effect estimated by the statistical methodology is consistent with the transient climate response and that this consistency is relatively unaffected by sample size or the increase in radiative forcing in the sample.
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