20 results on '"Gurses, Ozgur"'
Search Results
2. High-resolution modelling of marine biogenic aerosol precursors in the Arctic realm
- Author
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Zeising, Moritz, Oziel, Laurent, Gurses, Ozgur, Hauck, Judith, Heinold, Bernd, Losa, Svetlana N., Thoms, Silke, Bracher, Astrid, Zeising, Moritz, Oziel, Laurent, Gurses, Ozgur, Hauck, Judith, Heinold, Bernd, Losa, Svetlana N., Thoms, Silke, and Bracher, Astrid
- Abstract
The presence of liquid or ice as cloud phase determines the climate radiative effect of Arctic clouds, and thus, their contribution to surface warming. Biogenic aerosols from phytoplankton production localized in leads or open water were shown to act as cloud condensation nuclei (liquid phase) or ice nuclei (ice phase) in remote regions. As extensive measurements of biogenic aerosol precursors are still scarce, we conduct a modelling study and use acidic polysaccharides (PCHO) and transparent exopolymer particles (TEP) as tracers. In this study, we integrate processes of algal PCHO excretion during phytoplankton growth or under nutrient limitation and processes of TEP formation, aggregation and also remineralization into the ecosystem model REcoM2. The biogeochemical processes are described by two functional phytoplankton and two zooplankton classes, along with sinking detritus and several (in)organic carbon and nutrient classes. REcoM2 is coupled to the finite-volume sea ice ocean circulation model FESOM2 with a high resolution of up to 4.5 km in the Arctic. We will present the first results of simulated TEP distribution and seasonality patterns at pan-Arctic scale over the last decades. We will elucidate drivers of the seasonal cycle and will identify regional hotspots of TEP production and its decay. We will also address possible impacts of global warming and Arctic amplification of the last decades in our evaluation, as we expect a strong effect of global warming on microbial metabolic rates, phytoplankton growth, and composition of phytoplankton functional types. The results will be evaluated by comparison to a set of in-situ measurements (PASCAL, FRAM, MOSAiC). It is further planned that an atmospheric aerosol-climate model will build on the modeled biogenic aerosol precursors as input to quantify the net aerosol radiative effects. This work is part of the DFG TR 172 Arctic Amplification.
- Published
- 2022
3. Abruptly attenuated carbon sequestration with Weddell Sea dense waters towards the end of the 21st century
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Nissen, Cara, Timmermann, Ralph, Hoppema, Mario, Gurses, Ozgur, Hauck, Judith, Nissen, Cara, Timmermann, Ralph, Hoppema, Mario, Gurses, Ozgur, and Hauck, Judith
- Abstract
Antarctic Bottom Water formation, such as in the Weddell Sea, is an efficient vector for carbon sequestration on time scales of centuries. Yet, possible changes in carbon sequestration under changing environmental conditions are unquantified to date, mainly due to difficulties in simulating the relevant processes on high-latitude continental shelves. Using a model setup including both ice-shelf cavities and oceanic carbon cycling, we demonstrate that by 2100, deep-ocean carbon accumulation in the southern Weddell Sea is abruptly attenuated to only 40% of the rate in the 1990s in a high-emission scenario, while still being 4-fold higher in the 2080s. By assessing deep-ocean carbon budgets and water mass transformations, we show that this decline can be attributed to an increased presence of Warm Deep Water on the southern Weddell Sea continental shelf, a 16% reduction in sea-ice formation, and a 79% increase in ice-shelf basal melt. Altogether, these changes lower the density and volume of newly formed bottom waters and reduce the associated carbon transport to the abyss.
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- 2022
4. Global Carbon Budget 2022
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Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quere, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frederic, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gurses, Ozgur, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jurgen, Korsbakken, Jan Ivar, Landschutzer, Peter, Lefevre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, McGrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'Brien, Kevin, Ono, Tsuneo, Palmer, Paul, I, Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rodenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jorg, Seferian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sonke, Zeng, Jiye, Zheng, Bo, Friedlingstein, Pierre, O'Sullivan, Michael, Jones, Matthew W., Andrew, Robbie M., Gregor, Luke, Hauck, Judith, Le Quere, Corinne, Luijkx, Ingrid T., Olsen, Are, Peters, Glen P., Peters, Wouter, Pongratz, Julia, Schwingshackl, Clemens, Sitch, Stephen, Canadell, Josep G., Ciais, Philippe, Jackson, Robert B., Alin, Simone R., Alkama, Ramdane, Arneth, Almut, Arora, Vivek K., Bates, Nicholas R., Becker, Meike, Bellouin, Nicolas, Bittig, Henry C., Bopp, Laurent, Chevallier, Frederic, Chini, Louise P., Cronin, Margot, Evans, Wiley, Falk, Stefanie, Feely, Richard A., Gasser, Thomas, Gehlen, Marion, Gkritzalis, Thanos, Gloege, Lucas, Grassi, Giacomo, Gruber, Nicolas, Gurses, Ozgur, Harris, Ian, Hefner, Matthew, Houghton, Richard A., Hurtt, George C., Iida, Yosuke, Ilyina, Tatiana, Jain, Atul K., Jersild, Annika, Kadono, Koji, Kato, Etsushi, Kennedy, Daniel, Goldewijk, Kees Klein, Knauer, Jurgen, Korsbakken, Jan Ivar, Landschutzer, Peter, Lefevre, Nathalie, Lindsay, Keith, Liu, Junjie, Liu, Zhu, Marland, Gregg, Mayot, Nicolas, McGrath, Matthew J., Metzl, Nicolas, Monacci, Natalie M., Munro, David R., Nakaoka, Shin-Ichiro, Niwa, Yosuke, O'Brien, Kevin, Ono, Tsuneo, Palmer, Paul, I, Pan, Naiqing, Pierrot, Denis, Pocock, Katie, Poulter, Benjamin, Resplandy, Laure, Robertson, Eddy, Rodenbeck, Christian, Rodriguez, Carmen, Rosan, Thais M., Schwinger, Jorg, Seferian, Roland, Shutler, Jamie D., Skjelvan, Ingunn, Steinhoff, Tobias, Sun, Qing, Sutton, Adrienne J., Sweeney, Colm, Takao, Shintaro, Tanhua, Toste, Tans, Pieter P., Tian, Xiangjun, Tian, Hanqin, Tilbrook, Bronte, Tsujino, Hiroyuki, Tubiello, Francesco, van der Werf, Guido R., Walker, Anthony P., Wanninkhof, Rik, Whitehead, Chris, Willstrand Wranne, Anna, Wright, Rebecca, Yuan, Wenping, Yue, Chao, Yue, Xu, Zaehle, Sonke, Zeng, Jiye, and Zheng, Bo
- Published
- 2022
- Full Text
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5. Evaluation of air-sea CO2 fluxes in the ocean-ecosystem model FESOM-REcoM and in the Global Carbon Budget Models
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Hauck, Judith, Schourup-Kristensen, Vibe, Gurses, Ozgur, Ewen, Hanna, Zeising, Moritz, Hauck, Judith, Schourup-Kristensen, Vibe, Gurses, Ozgur, Ewen, Hanna, and Zeising, Moritz
- Abstract
We assessed air-sea CO2 fluxes in the ocean circulation ecosystem model FESOM-REcoM. FESOM is a finite element sea ice-ocean model, with a variable resolution ocean mesh. The mesh used here has a nominal resolution of 150 km in the open ocean and reaches 25 km in the tropics and in the Arctic region. While FESOM-REcoM has previously been used to study biogeochemical cycles and physics-ecosystem interactions, we have now evaluated the air-sea CO2 exchange in a preindustrial control simulation and in a historical simulation with varying climate and increasing atmospheric CO2 concentrations. We evaluate the total annual CO2 uptake and its regional distribution of the historical run and compare modelled pCO2 to observed pCO2 from the SOCAT data-base. The relative interannual variability mismatch and RMSE are similar to that calculated with the same biogeochemical model coupled to the MITgcm ocean circulation model. These numbers and further metrics for model evaluation e.g. natural CO2 fluxes, mismatch time-series, seasonal cycle are set into context by providing the same evaluation for the Global Carbon Budget (GCB) Models. This closes a gap, as these estimates of the ocean carbon sink are used in the community, but their performance has not been documented in detail. We’ll further present methodological updates to the ocean carbon sink estimate in the latest GCB release.
- Published
- 2020
6. Global ocean biogeochemical modelling with FESOM2-REcoM
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Gurses, Ozgur, primary, Hauck, Judith, additional, Zeising, Moritz, additional, and Oziel, Laurent, additional
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- 2021
- Full Text
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7. Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) - Part 1: Description of selected key model elements and comparison to its predecessor version
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Scholz, Patrick, Sidorenko, Dmitry, Gurses, Ozgur, Danilov, Sergey, Koldunov, Nikolay, Wang, Qiang, Sein, Dmitry, Smolentseva, Margarita, Rakowsky, Natalja, Jung, Thomas, Scholz, Patrick, Sidorenko, Dmitry, Gurses, Ozgur, Danilov, Sergey, Koldunov, Nikolay, Wang, Qiang, Sein, Dmitry, Smolentseva, Margarita, Rakowsky, Natalja, and Jung, Thomas
- Abstract
The evaluation and model element description of the second version of the unstructured-mesh Finite-volumE Sea ice-Ocean Model (FESOM2.0) are presented. The new version of the model takes advantage of the finite-volume approach, whereas its predecessor version, FESOM1.4 was based on the finite-element approach. The model sensitivity to arbitrary Lagrangian–Eulerian (ALE) linear and nonlinear free-surface formulation, Gent–McWilliams eddy parameterization, isoneutral Redi diffusion and different vertical mixing schemes is documented. The hydrographic biases, large-scale circulation, numerical performance and scalability of FESOM2.0 are compared with its predecessor, FESOM1.4. FESOM2.0 shows biases with a magnitude comparable to FESOM1.4 and simulates a more realistic Atlantic meridional overturning circulation (AMOC). Compared to its predecessor, FESOM2.0 provides clearly defined fluxes and a 3 times higher throughput in terms of simulated years per day (SYPD). It is thus the first mature global unstructured-mesh ocean model with computational efficiency comparable to state-of-the-art structured-mesh ocean models. Other key elements of the model and new development will be described in follow-up papers.
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- 2019
8. Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations
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Sidorenko, Dmitry, Goessling, Helge F., Koldunov, Nikolay, Scholz, Patrick, Danilov, Sergey, Barbi, Dirk, Cabos, W., Gurses, Ozgur, Harig, Sven, Hinrichs, Claudia, Juricke, S., Lohmann, Gerrit, Losch, Martin, Mu, Longjiang, Rackow, Thomas, Rakowsky, Natalja, Sein, Dmitry, Semmler, Tido, Shi, Xiaoxu, Stepanek, Christian, Streffing, Jan, Wang, Qiang, Wekerle, Claudia, Yang, Hu, Jung, Thomas, Sidorenko, Dmitry, Goessling, Helge F., Koldunov, Nikolay, Scholz, Patrick, Danilov, Sergey, Barbi, Dirk, Cabos, W., Gurses, Ozgur, Harig, Sven, Hinrichs, Claudia, Juricke, S., Lohmann, Gerrit, Losch, Martin, Mu, Longjiang, Rackow, Thomas, Rakowsky, Natalja, Sein, Dmitry, Semmler, Tido, Shi, Xiaoxu, Stepanek, Christian, Streffing, Jan, Wang, Qiang, Wekerle, Claudia, Yang, Hu, and Jung, Thomas
- Abstract
A new global climate model setup using FESOM2.0 for the sea ice‐ocean component and ECHAM6.3 for the atmosphere and land surface has been developed. Replacing FESOM1.4 by FESOM2.0 promises a higher efficiency of the new climate setup compared to its predecessor. The new setup allows for long‐term climate integrations using a locally eddy‐resolving ocean. Here it is evaluated in terms of (1) the mean state and long‐term drift under preindustrial climate conditions, (2) the fidelity in simulating the historical warming, and (3) differences between coarse and eddy‐resolving ocean configurations. The results show that the realism of the new climate setup is overall within the range of existing models. In terms of oceanic temperatures, the historical warming signal is of smaller amplitude than the model drift in case of a relatively short spin‐up. However, it is argued that the strategy of “de‐drifting” climate runs after the short spin‐up, proposed by the HighResMIP protocol, allows one to isolate the warming signal. Moreover, the eddy‐permitting/resolving ocean setup shows notable improvements regarding the simulation of oceanic surface temperatures, in particular in the Southern Ocean.
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- 2019
9. Brief communication: A submarine wall protecting the Amundsen Sea intensifies melting of neighboring ice shelves
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Gurses, Ozgur, Kolatschek, Vanessa, Wang, Qiang, Rodehacke, Christian, Gurses, Ozgur, Kolatschek, Vanessa, Wang, Qiang, and Rodehacke, Christian
- Abstract
Disintegration of ice shelves in the Amundsen Sea, in front of the West Antarctic Ice Sheet, has the potential to cause sea level rise by inducing an acceleration of ice discharge from upstream grounded ice. Moore et al. (2018) proposed that using a submarine wall to block the penetration of warm water into the subsurface cavities of these ice shelves could reduce this risk. We use a global sea ice–ocean model to show that a wall shielding the Amundsen Sea below 350 m depth successfully suppresses the inflow of warm water and reduces ice shelf melting. However, these warm water masses get redirected towards neighboring ice shelves, which reduces the net effectiveness of the wall. The ice loss is reduced by 10 %, integrated over the entire Antarctic continent.
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- 2019
10. Modelling the ocean circulation underneath the Filchner-Ronne ice shelf : What is the role of vertical discretization?
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Gurses, Ozgur, Ryan, Svenja, Wang, Qiang, Timmermann, Ralph, Rodehacke, Christian, Kolatschek, Vanessa, Pfeiffer, Madlene, and Semmler, Tido
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- 2018
11. Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) – Part 1: Description of selected key model elements and comparison to its predecessor version
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Scholz, Patrick, primary, Sidorenko, Dmitry, additional, Gurses, Ozgur, additional, Danilov, Sergey, additional, Koldunov, Nikolay, additional, Wang, Qiang, additional, Sein, Dmitry, additional, Smolentseva, Margarita, additional, Rakowsky, Natalja, additional, and Jung, Thomas, additional
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- 2019
- Full Text
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12. Supplementary material to "Assessment of the Finite VolumE Sea Ice Ocean Model (FESOM2.0), Part I: Description of selected key model elements and comparison to its predecessor version"
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Scholz, Patrick, primary, Sidorenko, Dmitry, additional, Gurses, Ozgur, additional, Danilov, Sergey, additional, Koldunov, Nikolay, additional, Wang, Qiang, additional, Sein, Dmitry, additional, Smolentseva, Margarita, additional, Rakowsky, Natalja, additional, and Jung, Thomas, additional
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- 2019
- Full Text
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13. Assessment of the Finite VolumE Sea Ice Ocean Model (FESOM2.0), Part I: Description of selected key model elements and comparison to its predecessor version
- Author
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Scholz, Patrick, primary, Sidorenko, Dmitry, additional, Gurses, Ozgur, additional, Danilov, Sergey, additional, Koldunov, Nikolay, additional, Wang, Qiang, additional, Sein, Dmitry, additional, Smolentseva, Margarita, additional, Rakowsky, Natalja, additional, and Jung, Thomas, additional
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- 2019
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14. Influence of a salt plume parameterization in a coupled climate model
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Sidorenko, Dmitry, Koldunov, Nikolay, Wang, Qiang, Danilov, Sergey, Goessling, Helge, Gurses, Ozgur, Scholz, Patrick, Sein, Dmitry, Volodin, Evgeny, Wekerle, Claudia, Jung, Thomas, Sidorenko, Dmitry, Koldunov, Nikolay, Wang, Qiang, Danilov, Sergey, Goessling, Helge, Gurses, Ozgur, Scholz, Patrick, Sein, Dmitry, Volodin, Evgeny, Wekerle, Claudia, and Jung, Thomas
- Abstract
Sea ice formation is accompanied by the rejection of salt which in nature tends to be mixed vertically by the formation of convective plumes. Here we analyze the influence of a salt plume parameterization (SPP) in an atmosphere-sea ice-ocean model. Two 330 years long simulations have been conducted with the AWI Climate Model. In the reference simulation, the rejected salt in the Arctic Ocean is added to the upper-most ocean layer. This approach is commonly used in climate modelling. In another experiment, employing SPP, the rejected salt is vertically redistributed within the mixed layer based on a power law profile that mimics the penetration of salt plumes. We discuss the effects of this redistribution on the simulated mean state and on atmosphere-ocean linkages associated with the intensity of deep water formation. We find that the salt plume parametrization leads to simultaneous increase of sea ice (volume and concentration) and decrease of sea surface salinity in the Arctic. The SPP considerably alters the interplay between the atmosphere and the ocean in the Nordic Seas. The parameterization modifies the ocean ventilation; however, resulting changes in temperature and salinity largely compensate each other in terms of density so that the overturning circulation is not significantly affected.
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- 2018
15. Reaching the 1.5 degree limit: what does it mean for West Antarctica and the global mean sea level?
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Semmler, Tido, Rodehacke, Christian, Gurses, Ozgur, Pfeiffer, Madlene, Barbi, Dirk, Gierz, Paul, Kleiner, Thomas, Sutter, Johannes, Wang, Qiang, Jung, Thomas, and Lohmann, Gerrit
- Abstract
What are the benefits of limiting the global warming to 1.5 degree with respect to pre-industrial conditions for the vulnerable region of West Antarctica which might be prone to positive feedback mechanisms between ocean circulation, melting of shelf ice and instabilities of the ice sheet? There are indications that West Antarctic ice sheet instabilities have occurred in the Last Interglacial around 125.000 years ago. At that time the polar surface temperature was about 2K warmer than today. The question under which circumstances a tipping point may be reached and if this may happen again is therefore highly relevant, especially since a disintegration of the West Antarctic ice sheet could cause a global sea level rise between 3 and 5 m. Here we address this question with variable resolution, global coupled ice sheet - shelf ice - ocean - atmosphere multi-century simulations. With our innovative ocean modelling approach in the Finite Element Sea-ice Ocean Model FESOM it is possible to refine the ocean resolution to up to 3 km in the Amundsen Sea and 10 km around the whole Antarctica while keeping it relatively coarse in the order of a couple of hundred km in dynamically not very active regions such as the subtropical regions. This means that we can simulate the feedback between ocean and ice in the relevant regions highly resolved given that the ice sheet model runs at a resolution of 5 to 10 km. Three different emission scenarios are applied up to 2100, two of them limiting the global mean temperature increase to 1.5 ◦ C and 2 ◦ C respectively and one of them assuming business-as-usual conditions (IPCC SRES RCP8.5 scenario). The simulations are extended to 2400 with the greenhouse gas and aerosol concentrations kept constant at 2100 levels, respectively, to be able to simulate the long-term implications of different global warming levels.
- Published
- 2017
16. A Finite Element Modeling Study of the Turkish Straits System
- Author
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Özsoy, E., Cagatay, M. N., Balkıs, N., Öztürk, B., Gurses, Ozgur, AYDOĞDU, Ali, PINARDI, Nadia, ÖZSOY, Emin, Özsoy, E., Cagatay, M. N., Balkıs, N., Öztürk, B., Gurses, Ozgur, AYDOĞDU, Ali, PINARDI, Nadia, and ÖZSOY, Emin
- Published
- 2016
17. A MSFD complementary approach for the assessment of pressures, knowledge and data gaps in Southern European Seas: The PERSEUS experience
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Crise, A., Kaberi, H., Ruiz, J., Zatsepin, A., Arashkevich, E., Giani, M., Karageorgis, Aristomenis, Prieto, L., Pantazi, M., Gonzalez-fernandez, D., D'Alcala, M. Ribera, Tornero, V., Vassilopoulou, V., Durrieu De Madron, Xavier, Guieu, C., Puig, P., Zenetos, A., Andral, Bruno, Angel, D., Altukhov, D., Ayata, S. D., Aktan, Y., Balcioglu, E., Benedetti, F., Bouchoucha, Marc, Buia, M. -c., Cadiou, Jean-francois, Canals, M., Chakroun, M., Christou, E., Christidis, M. G., Civitarese, Giuseppe, Coatu, V., Corsini-foka, M., Cozzi, S., Deidun, A., Dell'Aquila, A., Dogrammatzi, A., Dumitrache, C., Edelist, D., Ettahiri, Omar, Fonda-umani, S., Gana, S., Galgani, Francois, Gasparini, S., Giannakourou, A., Gomoiu, M. -t., Gubanova, A., Gucu, Ali-cemal, Gurses, Ozgur, Hanke, G., Hatzianestis, I., Herutx, B., Hone, R., Huertas, E., Irisson, J. -o., Isinibilir, M., Jimenez, J. A., Kalogirou, S., Kapiris, K., Karamfilov, Ventzi, Kavadas, S., Keskin, G., Kideys, Ahmet, Kocak, M., Kondylatos, G., Kontogiannis, C., Kosyan, R., Koubbi, Philippe, Kuspilic, G., La Ferla, R., Langone, L., Laroche, Sophie, Lazar, Luminita, Lefkaditou, E., Lemeshko, I. E., Machias, A., Malej, A., Mazzocchi, M. -g., Medinets, Volodymyr, Mihalopoulos, N., Miserocchi, S., Moncheva, Snejana, Mukhanov, V., Oaie, Gheorghe, Oros, A., Ozturk, A. A., Ozturk, B., Panayotova, M., Prospathopoulos, A., Radu, G., Raykov, V., Regiero, P., Reygondeau, G., Rougeron, Natacha, Salihoglu, B., Sanchez-vidal, A., Sannino, G., Santinelli, C., Secrieru, D., Shapiro, G., Simboura, N., Shiganova, Tamara, Sprovieri, M., Stefanova, Kremena, Streftaris, N., Tirelli, V., Tom, Moshe, Topaloglu, B., Topcu, N. E., Tsagarakis, K., Tsangaris, C., Tserpes, G., Tugrul, S., Uysal, Z., Vasile, Daniela, Violaki, K., Xu, J., Yuksek, Ahsen, Papathanassiouh, E., Crise, A., Kaberi, H., Ruiz, J., Zatsepin, A., Arashkevich, E., Giani, M., Karageorgis, Aristomenis, Prieto, L., Pantazi, M., Gonzalez-fernandez, D., D'Alcala, M. Ribera, Tornero, V., Vassilopoulou, V., Durrieu De Madron, Xavier, Guieu, C., Puig, P., Zenetos, A., Andral, Bruno, Angel, D., Altukhov, D., Ayata, S. D., Aktan, Y., Balcioglu, E., Benedetti, F., Bouchoucha, Marc, Buia, M. -c., Cadiou, Jean-francois, Canals, M., Chakroun, M., Christou, E., Christidis, M. G., Civitarese, Giuseppe, Coatu, V., Corsini-foka, M., Cozzi, S., Deidun, A., Dell'Aquila, A., Dogrammatzi, A., Dumitrache, C., Edelist, D., Ettahiri, Omar, Fonda-umani, S., Gana, S., Galgani, Francois, Gasparini, S., Giannakourou, A., Gomoiu, M. -t., Gubanova, A., Gucu, Ali-cemal, Gurses, Ozgur, Hanke, G., Hatzianestis, I., Herutx, B., Hone, R., Huertas, E., Irisson, J. -o., Isinibilir, M., Jimenez, J. A., Kalogirou, S., Kapiris, K., Karamfilov, Ventzi, Kavadas, S., Keskin, G., Kideys, Ahmet, Kocak, M., Kondylatos, G., Kontogiannis, C., Kosyan, R., Koubbi, Philippe, Kuspilic, G., La Ferla, R., Langone, L., Laroche, Sophie, Lazar, Luminita, Lefkaditou, E., Lemeshko, I. E., Machias, A., Malej, A., Mazzocchi, M. -g., Medinets, Volodymyr, Mihalopoulos, N., Miserocchi, S., Moncheva, Snejana, Mukhanov, V., Oaie, Gheorghe, Oros, A., Ozturk, A. A., Ozturk, B., Panayotova, M., Prospathopoulos, A., Radu, G., Raykov, V., Regiero, P., Reygondeau, G., Rougeron, Natacha, Salihoglu, B., Sanchez-vidal, A., Sannino, G., Santinelli, C., Secrieru, D., Shapiro, G., Simboura, N., Shiganova, Tamara, Sprovieri, M., Stefanova, Kremena, Streftaris, N., Tirelli, V., Tom, Moshe, Topaloglu, B., Topcu, N. E., Tsagarakis, K., Tsangaris, C., Tserpes, G., Tugrul, S., Uysal, Z., Vasile, Daniela, Violaki, K., Xu, J., Yuksek, Ahsen, and Papathanassiouh, E.
- Abstract
PERSEUS project aims to identify the most relevant pressures exerted on the ecosystems of the Southern European Seas (SES), highlighting knowledge and data gaps that endanger the achievement of SES Good Environmental Status (GES) as mandated by the Marine Strategy Framework Directive (MSFD). A complementary approach has been adopted, by a meta-analysis of existing literature on pressure/impact/knowledge gaps summarized in tables related to the MSFD descriptors, discriminating open waters from coastal areas. A comparative assessment of the Initial Assessments (IAs) for five SES countries has been also independently performed. The comparison between meta-analysis results and IAs shows similarities for coastal areas only. Major knowledge gaps have been detected for the biodiversity, marine food web, marine litter and underwater noise descriptors. The meta-analysis also allowed the identification of additional research themes targeting research topics that are requested to the achievement of GES.
- Published
- 2015
- Full Text
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18. Coarsening for an Efficient Simulation in the North Atlantic and Arctic.
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Gurses, Ozgur, Sidorenko, Dmitry, Gößling, Helge, Koldunov, Nikolay, Rackow, Thomas, Danilov, Sergey, Beszczynska-Möller, Agnieszka, and Andrzejewski, Jan
- Published
- 2018
19. Hierarchical domain decomposition in FESOM v.2.0: Speedup and scalability.
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Aizinger, Vadym, Sidorenko, Dmitry, Danilov, Sergey, Gurses, Ozgur, Rakowsky, Natalja, and Scholz, Patrick
- Published
- 2018
20. Ocean Dynamics in the Key Regions of North Atlantic-Arctic Exchanges: Comparison of Global FESOM and INMCM Model Simulations with Long-Term Observations.
- Author
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Agnieszka Beszczynska-Möller, Andrzejewski, Jan, Gurses, Ozgur, Sidorenko, Dmitry, Goessling, Helge, Volodin, Evgeny M., Gritsun, Andrey, and Iakovlev, Nikolay
- Published
- 2018
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