Abstract. The Southern Ocean forms an important component of the Earth system as a
major sink of CO2 and heat. Recent studies based on the Coupled Model
Intercomparison Project version 5 (CMIP5) Earth system models (ESMs) show
that CMIP5 models disagree on the phasing of the seasonal cycle of the
CO2 flux (FCO2) and compare poorly with available observation
products for the Southern Ocean. Because the seasonal cycle is the dominant
mode of CO2 variability in the Southern Ocean, its simulation is a
rigorous test for models and their long-term projections. Here we examine the
competing roles of temperature and dissolved inorganic carbon (DIC) as
drivers of the seasonal cycle of pCO2 in the Southern Ocean to explain
the mechanistic basis for the seasonal biases in CMIP5 models. We find that
despite significant differences in the spatial characteristics of the mean
annual fluxes, the intra-model homogeneity in the seasonal cycle of
FCO2 is greater than observational products. FCO2 biases in
CMIP5 models can be grouped into two main categories, i.e., group-SST and
group-DIC. Group-SST models show an exaggeration of the seasonal rates of
change of sea surface temperature (SST) in autumn and spring during the
cooling and warming peaks. These higher-than-observed rates of change of SST
tip the control of the seasonal cycle of pCO2 and FCO2 towards
SST and result in a divergence between the observed and modeled seasonal
cycles, particularly in the Sub-Antarctic Zone. While almost all analyzed
models (9 out of 10) show these SST-driven biases, 3 out of 10 (namely
NorESM1-ME, HadGEM-ES and MPI-ESM, collectively the group-DIC models)
compensate for the solubility bias because of their overly exaggerated primary
production, such that biologically driven DIC changes mainly regulate the
seasonal cycle of FCO2.