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| Seferian, Roland; Nabat, Pierre; Michou, Martine; Saint-martin, David; Voldoire, Aurore; Colin, Jeanne; Decharme, Bertrand; Delire, Christine; Berthet, Sarah; Chevallier, Matthieu; Senesi, Stephane; Franchisteguy, Laurent; Vial, Jessica; Mallet, Marc; Joetzjer, Emilie; Geoffroy, Olivier; Gueremy, Jean-francois; Moine, Marie-pierre; Msadek, Rym; Ribes, Aurelien; Rocher, Matthias; Roehrig, Romain; Salas-y-melia, David; Sanchez, Emilia; Terray, Laurent; Valcke, Sophie; Waldman, Robin; Aumont, Olivier; Bopp, Laurent; Deshayes, Julie; Ethe, Christian; Madec, Gurvan. |
| This study introduces CNRM-ESM2-1, the Earth system (ES) model of second generation developed by CNRM-CERFACS for the sixth phase of the Coupled Model Intercomparison Project (CMIP6). CNRM-ESM2-1 offers a higher model complexity than the Atmosphere-Ocean General Circulation Model CNRM-CM6-1 by adding interactive ES components such as carbon cycle, aerosols, and atmospheric chemistry. As both models share the same code, physical parameterizations, and grid resolution, they offer a fully traceable framework to investigate how far the represented ES processes impact the model performance over present-day, response to external forcing and future climate projections. Using a large variety of CMIP6 experiments, we show that represented ES processes impact more... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00676/78800/81052.pdf |
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| Smith, Gregory C.; Allard, Richard; Babin, Marcel; Bertino, Laurent; Chevallier, Matthieu; Corlett, Gary; Crout, Julia; Davidson, Fraser; Delille, Bruno; Gille, Sarah T.; Hebert, David; Hyder, Patrick; Intrieri, Janet; Lagunas, Jose; Larnicol, Gilles; Kaminski, Thomas; Kater, Belinda; Kauker, Frank; Marec, Claudie; Mazloff, Matthew; Metzger, E. Joseph; Mordy, Calvin; O'Carroll, Anne; Olsen, Steffen M.; Phelps, Michael; Posey, Pamela; Prandi, Pierre; Rehm, Eric; Reid, Phillip; Rigor, Ignatius; Sandven, Stein; Shupe, Matthew; Swart, Sebastiaan; Smedstad, Ole Martin; Solomon, Amy; Storto, Andrea; Thibaut, Pierre; Toole, John; Wood, Kevin; Xie, Jiping; Yang, Qinghua. |
| There is a growing need for operational oceanographic predictions in both the Arctic and Antarctic polar regions. In the former, this is driven by a declining ice cover accompanied by an increase in maritime traffic and exploitation of marine resources. Oceanographic predictions in the Antarctic are also important, both to support Antarctic operations and also to help elucidate processes governing sea ice and ice shelf stability. However, a significant gap exists in the ocean observing system in polar regions, compared to most areas of the global ocean, hindering the reliability of ocean and sea ice forecasts. This gap can also be seen from the spread in ocean and sea ice reanalyses for polar regions which provide an estimate of their uncertainty. The... |
| Tipo: Text |
Palavras-chave: Polar observations; Operational oceanography; Ocean data assimilation; Ocean modeling; Forecasting; Sea ice; Air-sea-ice fluxes; YOPP. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00512/62379/66650.pdf |
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| Lee, Younjoo J.; Matrai, Patricia A.; Friedrichs, Marjorie A. M.; Saba, Vincent S.; Aumont, Olivier; Babin, Marcel; Buitenhuis, Erik T.; Chevallier, Matthieu; De Mora, Lee; Dessert, Morgane; Dunne, John P.; Ellingsen, Ingrid H.; Feldman, Doron; Frouin, Robert; Gehlen, Marion; Gorgues, Thomas; Ilyina, Tatiana; Jin, Meibing; John, Jasmin G.; Lawrence, Jon; Manizza, Manfredi; Menkes, Christophe E.; Perruche, Coralie; Le Fouest, Vincent; Popova, Ekaterina E.; Romanou, Anastasia; Samuelsen, Annette; Schwinger, Jorg; Seferian, Roland; Stock, Charles A.; Tjiputra, Jerry; Tremblay, Bruno; Ueyoshi, Kyozo; Vichi, Marcello; Yool, Andrew; Zhang, Jinlun. |
| The relative skill of 21 regional and global biogeochemical models was assessed in terms of how well the models reproduced observed net primary productivity (NPP) and environmental variables such as nitrate concentration (NO3), mixed layer depth (MLD), euphotic layer depth (Z(eu)), and sea ice concentration, by comparing results against a newly updated, quality-controlled in situ NPP database for the Arctic Ocean (1959-2011). The models broadly captured the spatial features of integrated NPP (iNPP) on a pan-Arctic scale. Most models underestimated iNPP by varying degrees in spite of overestimating surface NO3, MLD, and Z(eu) throughout the regions. Among the models, iNPP exhibited little difference over sea ice condition (ice-free versus ice-influenced)... |
| Tipo: Text |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00373/48441/69564.pdf |
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