Auxiliary material for Paper 2007JC004153 Impact of ocean carbon system variability on the detection of temporal increases in anthropogenic CO2 Naomi Marcil Levine Massachusetts Institute/Woods Hole Oceanographic Institution Joint Program, Woods Hole, Massachusetts, USA Scott C. Doney Marine Chemistry and Geochemistry Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA Rik Wanninkhof Atlantic Oceanographic and Meteorological Laboratory (NOAA), Miami, Florida, USA Keith Lindsay Climate and Global Dynamics, National Center for Atmospheric Research, Boulder, Colorado, USA Inez Y. Fung Berkeley Atmospheric Sciences Center, University of California, Berkeley, Berkeley, California, USA Levine, N. M., S. C. Doney, R. Wanninkhof, K. Lindsay, and I. Y. Fung (2008), Impact of ocean carbon system variability on the detection of temporal increases in anthropogenic CO2, J. Geophys. Res., 113, C03019, doi:10.1029/2007JC004153. Introduction To estimate the short-term variability in anthropogenic CO2 in the ocean (Canthro), we compare a pair of historical (1958-2004) ocean simulations. The two runs, a control run and a transient run, have identical surface forcing and nearly identical physical circulation. We estimate the error in delta Canthro(predicted) by comparing the true estimate of Canthro, calculated by differencing the control run from the transient run, to the low-pass filter estimate of Canthro, calculated using a spline fit. Figure S1 shows the difference between these two estimates for three representative latitudes (54.9N, 2.2S, and 29.1S) at 190m. Also plotted are the dissolved inorganic carbon concentrations normalized to year zero so that they plot on the same scale. The mean RMS error between the "true" and "predicted" Canthro values is 0.37 mol/kg per decade (200-2000m). This is considerably smaller than either the natural variability or the errors in the delta C* and multiple linear regression techniques. 1. 2007JC004153-fs01.eps Time series of historical (1958-2004) ocean-only model output along the A16 transect at 190 m and (a) 54.9N, (b) 2.2S, and (c) 29.1S. The transient run's dissolved inorganic carbon (DIC) concentrations, normalized to year zero, are shown in light gray. The true Canthro estimates, calculated as the difference between a control run and a transient run with identical surface forcing and nearly identical physical circulation, are shown in black. The low-pass filter estimates of Canthro, calculated using a spline fit to the transient run, are shown in dark gray.