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| Fearon, Giles; Herbette, Steven; Veitch, Jennifer; Cambon, Gildas; Lucas, Andrew J.; Lemarié, Florian; Vichi, Marcello. |
| The land‐sea breeze is resonant with the inertial response of the ocean at the critical latitude of 30°N/S. 1D‐vertical numerical experiments were undertaken to study the key drivers of enhanced diapycnal mixing in coastal upwelling systems driven by diurnal‐inertial resonance near the critical latitude. The effect of the land boundary was implicitly included in the model through the `Craig approximation' for first order cross‐shore surface elevation gradient response. The model indicates that for shallow water depths (<~100~m), bottom shear stresses must be accounted for in the formulation of the ‘Craig approximation’, as they serve to enhance the cross‐shore surface elevation gradient response, while reducing shear and mixing at the thermocline. The... |
| Tipo: Text |
Palavras-chave: Inertial oscillations<; /AUTHOR_KEYWORD>; Land-sea breeze<; /AUTHOR_KEYWORD>; Diurnal-inertial resonance<; /AUTHOR_KEYWORD>; Coastal upwelling<; /AUTHOR_KEYWORD>; Diapycnal mixing<; /AUTHOR_KEYWORD>; Phytoplankton blooms<; /AUTHOR_KEYWORD>. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00643/75507/76384.pdf |
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| Mongwe, N. Precious; Vichi, Marcello; Monteiro, Pedro M. S.. |
| The Southern Ocean forms an important component of the Earth system as a major sink of CO2 and heat. Recent studies based on the Coupled Model Intercomparison Project version 5 (CMIP5) Earth system models (ESMs) show that CMIP5 models disagree on the phasing of the seasonal cycle of the CO2 flux (FCO2) and compare poorly with available observation products for the Southern Ocean. Because the seasonal cycle is the dominant mode of CO2 variability in the Southern Ocean, its simulation is a rigorous test for models and their long-term projections. Here we examine the competing roles of temperature and dissolved inorganic carbon (DIC) as drivers of the seasonal cycle of pCO(2) in the Southern Ocean to explain the mechanistic basis for the seasonal biases in... |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00673/78489/80818.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)... |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00373/48441/69564.pdf |
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