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| Chust, Guillem; Allen, J. Icarus; Bopp, Laurent; Schrum, Corinna; Holt, Jason; Tsiaras, Kostas; Zavatarelli, Marco; Chifflet, Marina; Cannaby, Heather; Dadou, Isabelle; Daewel, Ute; Wakelin, Sarah L.; Machu, Eric; Pushpadas, Dhanya; Butenschon, Momme; Artioli, Yuri; Petihakis, Georges; Smith, Chris; Garcon, Veronique; Goubanova, Katerina; Le Vu, Briac; Fach, Bettina A.; Salihoglu, Baris; Clementi, Emanuela; Irigoien, Xabier. |
| Ocean warming can modify the ecophysiology and distribution of marine organisms, and relationships between species, with nonlinear interactions between ecosystem components potentially resulting in trophic amplification. Trophic amplification (or attenuation) describe the propagation of a hydroclimatic signal up the food web, causing magnification (or depression) of biomass values along one or more trophic pathways. We have employed 3-D coupled physical-biogeochemical models to explore ecosystem responses to climate change with a focus on trophic amplification. The response of phytoplankton and zooplankton to global climate-change projections, carried out with the IPSL Earth System Model by the end of the century, is analysed at global and regional basis,... |
| Tipo: Text |
Palavras-chave: Ecosystem model; Food web; Plankton; Primary production; Sea warming; Trophic amplification. |
| Ano: 2014 |
URL: http://archimer.ifremer.fr/doc/00188/29966/28481.pdf |
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| Tintoré, Joaquín; Pinardi, Nadia; Álvarez-fanjul, Enrique; Aguiar, Eva; Álvarez-berastegui, Diego; Bajo, Marco; Balbin, Rosa; Bozzano, Roberto; Nardelli, Bruno Buongiorno; Cardin, Vanessa; Casas, Benjamin; Charcos-llorens, Miguel; Chiggiato, Jacopo; Clementi, Emanuela; Coppini, Giovanni; Coppola, Laurent; Cossarini, Gianpiero; Deidun, Alan; Deudero, Salud; D'Ortenzio, Fabrizio; Drago, Aldo; Drudi, Massimiliano; El Serafy, Ghada; Escudier, Romain; Farcy, Patrick; Federico, Ivan; Fernández, Juan Gabriel; Ferrarin, Christian; Fossi, Cristina; Frangoulis, Constantin; Galgani, Francois; Gana, Slim; García Lafuente, Jesús; Sotillo, Marcos García; Garreau, Pierre; Gertman, Isaac; Gómez-pujol, Lluis; Grandi, Alessandro; Hayes, Daniel; Hernández-lasheras, Jaime; Herut, Barak; Heslop, Emma; Hilmi, Karim; Juza, Melanie; Kallos, George; Korres, Gerasimos; Lecci, Rita; Lazzari, Paolo; Lorente, Pablo; Liubartseva, Svitlana; Louanchi, Ferial; Malacic, Vlado; Mannarini, Gianandrea; March, David; Marullo, Salvatore; Mauri, Elena; Meszaros, Lorinc; Mourre, Baptiste; Mortier, Laurent; Muñoz-mas, Cristian; Novellino, Antonio; Obaton, Dominique; Orfila, Amine; Pascual, Ananda; Pensieri, Sara; Pérez Gómez, Begoña; Pérez Rubio, Susana; Perivoliotis, Leonidas; Petihakis, George; De La Villéon, Loic Petit; Pistoia, Jenny; Poulain, Pierre-marie; Pouliquen, Sylvie; Prieto, Laura; Raimbault, Patrick; Reglero, Patricia; Reyes, Emma; Rotllan, Paz; Ruiz, Simón; Ruiz, Javier; Ruiz, Inmaculada; Ruiz-orejón, Luis Francisco; Salihoglu, Baris; Salon, Stefano; Sammartino, Simone; Sánchez Arcilla, Agustín; Sánchez-román, Antonio; Sannino, Gianmaria; Santoleri, Rosalia; Sardá, Rafael; Schroeder, Katrin; Simoncelli, Simona; Sofianos, Sarantis; Sylaios, Georgios; Tanhua, Toste; Teruzzi, Anna; Testor, Pierre; Tezcan, Devrim; Torner, Marc; Trotta, Francesco; Umgiesser, Georg; Von Schuckmann, Karina; Verri, Giorgia; Vilibic, Ivica; Yucel, Mustafa; Zavatarelli, Marco; Zodiatis, George. |
| The Mediterranean community represented in this paper is the result of more than 30 years of EU and nationally funded coordination, which has led to key contributions in science concepts and operational initiatives. Together with the establishment of operational services, the community has coordinated with universities, research centers, research infrastructures and private companies to implement advanced multi-platform and integrated observing and forecasting systems that facilitate the advancement of operational services, scientific achievements and mission-oriented innovation. Thus, the community can respond to societal challenges and stakeholders needs, developing a variety of fit-for-purpose services such as the Copernicus Marine Service. The... |
| Tipo: Text |
Palavras-chave: Observing and forecasting systems; Sustained observations; Ocean variability; FAIR data; Climate; Operational services; Science with and for society; SDG's. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00513/62494/66808.pdf |
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| Shahzadi, Kanwal; Zavatarelli, Marco; Pinardi, Nadia. |
| The SDC_GLO_CLIM_O2_AOU product contains two different seasonal climatology for dissolved Oxygen and Apparent Oxygen Utilization, SDC_GLO_CLIM_O2 and SDC_GLO_CLIM_AOU respectively based on data from the World Ocean Database (WOD). Only basic quality control flags from the WOD are used. The first climatology, SDC_GLO_CLIM_O2, considers Dissolved Oxygen profiles collocated with temperature and salinity from CTD, Profiling Floats (PFL), Ocean Station Data (OSD) covering the time period from 2003 to 2017. The Apparent Oxygen Utilization climatology, SDC_GLO_CLIM_AOU, has been computed as a difference between dissolved oxygen concentration and its equilibrium saturation concentration. The gridded fields have been obtained using DIVAnd (Data Interpolating... |
| Tipo: Text |
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| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00681/79295/81794.pdf |
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| Shahzadi, Kanwal; Pinardi, Nadia; Lyubartsev, Vladislav; Zavatarelli, Marco; Simoncelli, Simona. |
| The SDC_GLO_CLIM_TS_V2 product is an improved version of SDC_GLO_CLIM_TS_V1 and contains two different monthly climatologies for temperature and salinity from the World Ocean Database 2018 (WOD-18). Along with the basic quality control flags from the WOD-18, an additional quality control named Nonlinear Quality Control (NQC) is applied. The first climatology, V2_1, considers temperature and salinity profiles from Conductivity Depth Temperature (CTD), Ocean station data (OSD) and Moored buoy data (MRB) along with Profiling Floats (PFL) from 1900 to 2017. The second climatology, V2_2, utilizes only PFL data from 2003 to 2017. V2_1 considers 44 layers from surface to 6000 m while V2_2 only 34 from 0 to 2000 m. The gridded fields are computed using DIVAnd... |
| Tipo: Text |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00663/77512/79280.pdf |
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| Shahzadi, Kanwal; Pinardi, Nadia; Lyubartsev, Vladislav; Zavatarelli, Marco; Simoncelli, Simona. |
| The SDC_GLO_CLIM_TS_V1 product contains two different monthly climatology for temperature and salinity, SDC_GLO_CLIM_TS_V1_1 and SDC_GLO_CLIM_TS_V1_2 from the World Ocean Data (WOD) database. Only basic quality control flags from the WOD are used. The first climatology, V1_1, considers temperature and salinity profiles from Conductivity Depth Temperature (CTD), Ocean station data (OSD) and Moored buoy data (MRB) along with Profiling Floats (PFL) from 1900 to 2017. The second climatology, V1_2, utilizes only PFL data from 2003 to 2017. V1_1 considers depth layers from surface to 6000 m while V1_2 from 0 to 2000 m. The gridded fields are computed using DIVAnd (Data Interpolating Variational Analysis) version 2.3.1. Basic statistics for differences between... |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00512/62404/66662.pdf |
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