Adjusted radiative forcing and global radiative feedbacks in CNRM-CM5, a closure of the partial decomposition

This study provides a comprehensive global analysis of the climate radiative feedbacks and the adjusted radiative forcing for a CO 2 increase perturbation in the CNRM-CM5 climate model using the partial radiative perturbations (PRP) method. Some methodological key points of the PRP are investigated,...

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Bibliographic Details
Published in:Climate dynamics 2014-04, Vol.42 (7-8), p.1807-1818
Main Authors: Geoffroy, Olivier, Saint-Martin, David, Voldoire, Aurore, Salas y Mélia, David, Sénési, Stéphane
Format: Article
Language:English
Subjects:
Analysis
Atmospheric models
Atmospheric sciences
Climate change
Climate sensitivity
Climatology
Climatology. Bioclimatology. Climate change
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Exact sciences and technology
External geophysics
Geophysics. Techniques, methods, instrumentation and models
Geophysics/Geodesy
Meteorology
Oceanography
Troposphere
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Summary:This study provides a comprehensive global analysis of the climate radiative feedbacks and the adjusted radiative forcing for a CO 2 increase perturbation in the CNRM-CM5 climate model using the partial radiative perturbations (PRP) method. Some methodological key points of the PRP are investigated, with a particular focus on the consideration of the effect of fast adjustments. First, the standard PRP method is applied by neglecting certain fast adjustments. The effect of the field decorrelation is highlighted by performing a PRP across two different periods of a control experiment and by analyzing second-order terms. Sensitivity tests to the field substitution frequency, the sampling period and the perturbed experiment used are performed. The impact of the definition of the top of the climate system (top-of-the-atmosphere or tropopause) in the feedback estimate is also discussed. Secondly, the fast adjustment processes are taken into account by combining the PRP framework with the method of linear regression of the partial net radiative flux change against the mean surface air temperature change using a step forcing experiment. This method allows us to quantify the contribution of the different constituents to the forcing adjustment and to improve the estimation of the radiative feedbacks. It is shown that such decomposition allows the retrieval of the adjusted radiative forcing, the radiative feedbacks and the climate sensitivity as estimated with the linear regression method with a high level of accuracy, validating the partial decomposition.
ISSN:0930-7575
1432-0894
DOI:10.1007/s00382-013-1741-9