ALBERT

Description: The subtropical Indian Ocean along 32° S was for the first time simultaneously sampled in 2002 for inorganic carbon and transient tracers. The vertical distribution and inventory of anthropogenic carbon (CANT) from five different methods: four data-base methods (ΔC*, TrOCA, TTD and IPSL) and a simulation from the OCCAM model are compared and discussed along with the observed CFC-12 and CCl4 distributions. In the surface layer, where carbon-based methods are uncertain, TTD and OCCAM yield the same result (7±0.2 molC m−2), helping to specify the surface CANT inventory. Below the mixed-layer, the comparison suggests that CANT penetrates deeper and more uniformly into the Antarctic Intermediate Water layer limit than estimated from the much utilized ΔC* method. Significant CFC-12 and CCl4 values are detected in bottom waters, associated with Antarctic Bottom Water. In this layer, except for ΔC* and OCCAM, the other methods detect significant CANT values. Consequently, the lowest inventory is calculated using the ΔC* method (24±2 molC m−2) or OCCAM (24.4±2.8 molC m−2) while TrOCA, TTD, and IPSL lead to higher inventories (28.1±2.2, 28.9±2.3 and 30.8±2.5 molC m−2 respectively). Overall and despite the uncertainties each method is evaluated using its relationship with tracers and the knowledge about water masses in the subtropical Indian Ocean. Along 32° S our best estimate for the mean CANT specific inventory is 28±2 molC m−2. Comparison exercises for data-based CANT methods along with time-series or repeat sections analysis should help to identify strengths and caveats in the CANT methods and to better constrain model simulations.

Description: The future behaviour of the global ocean as a sink for CO2 is significant for climate change, but it is also important to understand its past by quantifying anthropogenic CO2 (Cant) in the ocean today. Unfortunately, this is complicated by the difficulty of deconvoluting Cant from the natural, unperturbed carbon cycle. Nonetheless, a range of techniques have been devised that perform this separation using the information implicit in other physical, biogeochemical and artificial ocean tracers. One such method is the TrOCA approach, whose parameterisation is derived from relationships between biogeochemical tracers within watermasses defined by age tracers such as CFC-11. TrOCA has a number of methodological advantages, and has been shown to be plausible, relative to other methods, in a number of studies. Here we examine the TrOCA approach by using it to deconvolute the known distribution of Cant from an ocean general circulation model (OGCM) simulation of the industrial period (1864–2004). TrOCA is evaluated at local, regional and global scales, with an emphasis on the wider applicability of the parameterisations derived at these scales. Our work finds that the published TrOCA parameterisation performs poorly when extrapolated beyond its calibration region, either with observational data or (especially) model output. Optimising TrOCA parameters using model output as a synthetic dataset leads to some small improvements, but the resulting TrOCA variants still perform poorly. Furthermore, there are large ranges on the optimised TrOCA parameters suggesting that a "universal" TrOCA parameterisation is not achieveable.