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Somot, Samuel; Houpert, Loic; Sevault, Florence; Testor, Pierre; Bosse, Anthony; Taupier-letage, Isabelle; Bouin, Marie-noelle; Waldman, Robin; Cassou, Christophe; Sanchez-gomez, Emilia; Durrieu De Madron, Xavier; Adloff, Fanny; Nabat, Pierre; Herrmann, Marine. |
Observing, modelling and understanding the climate-scale variability of the deep water formation (DWF) in the North-Western Mediterranean Sea remains today very challenging. In this study, we first characterize the interannual variability of this phenomenon by a thorough reanalysis of observations in order to establish reference time series. These quantitative indicators include 31 observed years for the yearly maximum mixed layer depth over the period 1980–2013 and a detailed multi-indicator description of the period 2007–2013. Then a 1980–2013 hindcast simulation is performed with a fully-coupled regional climate system model including the high-resolution representation of the regional atmosphere, ocean, land-surface and rivers. The simulation reproduces... |
Tipo: Text |
Palavras-chave: Deep water formation; Open-sea deep convection; Interannual variability; Mediterranean Sea; Regional climate models; Climate trends. |
Ano: 2016 |
URL: http://archimer.ifremer.fr/doc/00348/45948/45654.pdf |
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Benedetti, Fabio; Guilhaumon, Francois; Adloff, Fanny; Ayata, Sakina-dorothee. |
Ensemble niche modelling has become a common framework to predict changes in assemblages composition under climate change scenarios. The amount of uncertainty generated by the different components of this framework has rarely been assessed. In the marine realm forecasts have usually focused on taxa representing the top of the marine food-web, thus overlooking their basal component: the plankton. Calibrating environmental niche models at the global scale, we modelled the habitat suitability of 106 copepod species and estimated the dissimilarity between present and future zooplanktonic assemblages in the surface Mediterranean Sea. We identified the patterns (species replacement versus nestedness) driving the predicted dissimilarity, and quantified the... |
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Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00425/53613/75049.pdf |
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