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| Moreau, Sebastien; Vancoppenolle, Martin; Bopp, Laurent; Aumont, Olivier; Madec, Gurvan; Delille, Bruno; Tison, Jean-louis; Barriat, Pierre-yves; Goosse, Hugues. |
| The role of sea ice in the carbon cycle is minimally represented in current Earth System Models (ESMs). Among potentially important flaws, mentioned by several authors and generally overlooked during ESM design, is the link between sea-ice growth and melt and oceanic dissolved inorganic carbon (DIC) and total alkalinity (TA). Here we investigate whether this link is indeed an important feature of the marine carbon cycle misrepresented in ESMs. We use an ocean general circulation model (NEMO-LIM-PISCES) with sea-ice and marine carbon cycle components, forced by atmospheric reanalyses, adding a first-order representation of DIC and TA storage and release in/from sea ice. Our results suggest that DIC rejection during sea-ice growth releases several hundred Tg... |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00664/77572/79539.pdf |
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| Laruelle, Goulven G.; Landschutzer, Peter; Gruber, Nicolas; Tison, Jean-louis; Delille, Bruno; Regnier, Pierre. |
| In spite of the recent strong increase in the number of measurements of the partial pressure of CO2 in the surface ocean (pCO(2)), the air-sea CO2 balance of the continental shelf seas remains poorly quantified. This is a consequence of these regions remaining strongly under-sampled in both time and space and of surface p CO2 exhibiting much higher temporal and spatial variability in these regions compared to the open ocean. Here, we use a modified version of a two-step artificial neural network method (SOM-FFN; Landschutzer et al., 2013) to interpolate the p CO2 data along the continental margins with a spatial resolution of 0.25 ffi and with monthly resolution from 1998 to 2015. The most important modifications compared to the original SOM-FFN method are... |
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| Ano: 2017 |
URL: https://archimer.ifremer.fr/doc/00662/77392/79004.pdf |
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