Estimating the storage of anthropogenic carbon in the subtropical Indian Ocean: A comparison of five different approaches

Alvaréz, M., Lo Monaco, C., Tanhua, Toste, Yool, A., Oschlies, Andreas, Bullister, J.L., Goyet, C., Tourtair, F., McDonagh, E. and Bryden, H.L. (2009) Estimating the storage of anthropogenic carbon in the subtropical Indian Ocean: A comparison of five different approaches Biogeosciences (BG), 6 . pp. 681-703. DOI 10.5194/bg-6-681-2009.

[img]
Preview
Text
614_Alvaréz_2009_EstimatingTheStorageOfAnthropogenic_Artzeit_pubid11271.pdf - Reprinted Version

Download (3729Kb)

Supplementary data:

Abstract

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.

Document Type: Article
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
OceanRep > The Future Ocean - Cluster of Excellence
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-CH Chemical Oceanography
Refereed: Yes
DOI etc.: 10.5194/bg-6-681-2009
ISSN: 1726-4170
Projects: Future Ocean
Date Deposited: 11 May 2010 11:32
Last Modified: 06 Jul 2012 15:07
URI: http://eprints.uni-kiel.de/id/eprint/3415

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...