CSIRO and the Bureau of Meteorology advise that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any specific situation. No reliance or actions must therefore be made on that information without seeking prior expert professional, scientific and technical advice. To the extent permitted by law, CSIRO and the Bureau of Meteorology (including each of its employees and consultants) excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication (in part or in whole) and any information or material contained in it. Fig. 1 SST difference (K) between the averaged SST from 100 years of the ACCESS model integration and the observed global climatological SST data. .... 3 Fig. 2 Comparison of the surface heat flux components (a: net downward SW, b: net upward LW, c: latent heat, d: sensible heat) from OAFlux and ISCCP-FD (left column) and the differences between ACCESS and these references (right column). Fig. 4 Schematic of a distribution of clouds within a 3D grid box, where the cloud fraction by volume (C ν) is 1⁄2, but the cloud fraction by area (C a) is 2⁄3. (after Brooks et al. Fig. 6 Comparisons of total cloud amount between CALIPSO measurements and ACCESS modelled values. Panel a shows CALIPSO total cloud fraction. Panels b – f are difference between model and CALIPSO.. Fig. 11 Biases in cloud longwave radiative forcing (left column) and zontal mean distribution of longwave forcing (right) from three ACCESS model runs. The cloud radiative forcing determined by the ISCCP-FD is used as a benchmark. .. 21 Fig. 12 Biases in cloud shortwave radiative forcing (left column) and zonal mean distribution of shortwave forcing (right) from the three ACCESS model runs.