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Climate of the Past An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 2
Clim. Past, 7, 511–526, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Clim. Past, 7, 511–526, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  17 May 2011

17 May 2011

Evaluating climate model performance with various parameter sets using observations over the recent past

M. F. Loutre1, A. Mouchet2, T. Fichefet1, H. Goosse1, H. Goelzer3, and P. Huybrechts3 M. F. Loutre et al.
  • 1Université catholique de Louvain, Earth and Life Institute, Georges Lemaître Centre for Earth and Climate Research (TECLIM), Chemin du Cyclotron, 2 bte L7.01.11, 1348 Louvain-la-Neuve, Belgium
  • 2Laboratoire de Physique Atmosphérique et Planétaire, Université de Liège, Allée du 6 août, 17, Bâtiment B5c, 4000 Liège, Belgium
  • 3Earth System Science & Departement Geografie, Vrije Universiteit Brussel, Pleinlaan, 2, 1050 Brussels, Belgium

Abstract. Many sources of uncertainty limit the accuracy of climate projections. Among them, we focus here on the parameter uncertainty, i.e. the imperfect knowledge of the values of many physical parameters in a climate model. Therefore, we use LOVECLIM, a global three-dimensional Earth system model of intermediate complexity and vary several parameters within a range based on the expert judgement of model developers. Nine climatic parameter sets and three carbon cycle parameter sets are selected because they yield present-day climate simulations coherent with observations and they cover a wide range of climate responses to doubled atmospheric CO2 concentration and freshwater flux perturbation in the North Atlantic. Moreover, they also lead to a large range of atmospheric CO2 concentrations in response to prescribed emissions. Consequently, we have at our disposal 27 alternative versions of LOVECLIM (each corresponding to one parameter set) that provide very different responses to some climate forcings. The 27 model versions are then used to illustrate the range of responses provided over the recent past, to compare the time evolution of climate variables over the time interval for which they are available (the last few decades up to more than one century) and to identify the outliers and the "best" versions over that particular time span. For example, between 1979 and 2005, the simulated global annual mean surface temperature increase ranges from 0.24 °C to 0.64 °C, while the simulated increase in atmospheric CO2 concentration varies between 40 and 50 ppmv. Measurements over the same period indicate an increase in global annual mean surface temperature of 0.45 °C (Brohan et al., 2006) and an increase in atmospheric CO2 concentration of 44 ppmv (Enting et al., 1994; GLOBALVIEW-CO2, 2006). Only a few parameter sets yield simulations that reproduce the observed key variables of the climate system over the last decades. Furthermore, our results show that the model response, including its ocean component, is strongly influenced by the model sensitivity to an increase in atmospheric CO2 concentration but much less by its sensitivity to freshwater flux in the North Atlantic. They also highlight weaknesses of the model, in particular its large ocean heat uptake.

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