Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity

The same prescribed anthropogenic aerosol forcing was implemented into three climate models. The atmosphere components of these participating climate models were the GAMIL, ECHAM, and CAM models. Ensemble simulations were carried out to obtain a reliable estimate of anthropogenic aerosol effective radiative forcing (ERF). The ensemble mean ERFs from these three participating models with this aerosol forcing were -0.27, -0.63, and -0.54 W center dot m(-2). The model diversity in ERF is clearly reduced as compared with those based on the models' own default approaches (-1.98, -0.21, and -2.22 W center dot m(-2)). This is consistent with the design of this aerosol forcing. The modeled ERF can be decomposed into two basic components, i.e., the instantaneous radiative forcing (RF) from aerosol-radiation interactions (RFari) and the aerosol-induced changes in cloud forcing (oFcloud*). For the three participating models, the model diversity in RFari (-0.21, -0.33, and -0.29 W center dot m(-2)) could be constrained by reducing the differences in natural aerosol radiative forcings. However, it was difficult to figure out the reason for the model diversity in oFcloud* (-0.05, -0.28, and -0.24 W center dot m(-2)), which was the dominant source of the model diversity in ERF. The variability of modeled ERF was also studied. Ensemble simulations showed that the modeled RFs were very stable. The rapid adjustments (ERF - RF) had an important role to play in the quantification of the perturbation of ERF. Fortunately, the contribution from the rapid adjustments to the mean ERF was very small. This study also showed that we should pay attention to the difference between the aerosol climate effects we want and the aerosol climate effects we calculate.