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r338 r339 4 4 @PREAMBLE{"Bibliographie du LOCEAN"} 5 5 6 @inproceedings{Bouruetaubertot:OGOA:2013, 7 loceanbibid = {01963}, 8 loceanaffectation = {cnrs}, 9 loceanteam = {phybiocar}, 10 timestamp = {20130705}, 11 hal_id = {hal-00840927}, 12 title = {{Characterization of turbulence from a fine-scale parameterization and microstructure measurements in the Mediterranean Sea during the {BOUM} experiment}}, 13 author = {Bouruet-Aubertot, Pascale}, 14 abstract = {{One of the main purposes of the {BOUM} experiment was to find evidence of the possible impact of submesoscale dynamics on biogeochemical cycles. To this aim physical as well as biogeochemical data were collected along a zonal transect through the western and eastern basins of the Mediterranean sea. Along this transect 3 day fixed point stations were performed within anticyclonic eddies during which microstructure measurements of the temperature gradient were collected over the top 100m of the water column. We focus here on the characterization of turbulent mixing.}}, 15 language = {Anglais}, 16 affiliation = {Laboratoire d'Oc{\'e}anographie et du Climat : Exp{\'e}rimentations et Approches Num{\'e}riques - LOCEAN}, 17 booktitle = {{Symposium OGOA}}, 18 address = {Lyon, France}, 19 audience = {non sp{\'e}cifi{\'e}e }, 20 year = {2013}, 21 month = May, 22 pdf = {http://hal.archives-ouvertes.fr/hal-00840927/PDF/pg\_0030.pdf}, 23 } 24 25 @Article{SarmaLentonEtAl:BD:2013, 26 loceanbibid = {01962}, 27 loceanaffectation = {cnrs}, 28 loceanteam = {phybiocar}, 29 timestamp = {20130624}, 30 hal_id = {hal-00836621}, 31 AUTHOR = {Sarma, V. V. S. S. and Lenton, A. and Law, R. and Metzl, Nicolas and Patra, P. K. and Doney, S. and Lima, I. D. and Dlugokencky, E. and Ramonet, M. and Valsala, V.}, 32 TITLE = {Sea-air CO$_{2}$ fluxes in the Indian Ocean between 1990 and 2009}, 33 JOURNAL = {Biogeosciences Discussions}, 34 VOLUME = {10}, 35 YEAR = {2013}, 36 NUMBER = {7}, 37 PAGES = {10759-10810}, 38 URL = {http://www.biogeosciences-discuss.net/10/10759/2013/}, 39 DOI = {10.5194/bgd-10-10759-2013} 40 } 6 41 @article{FanSenEtAl:JPO:2013, 7 42 loceanbibid = {01961}, 8 43 loceanaffectation = {cnrs}, 9 loceanteam = {p ybiocor},44 loceanteam = {phybiocar}, 10 45 timestamp = {20130624}, 11 46 hal_id = {hal-00836621}, … … 68 103 loceanteam = {varclim}, 69 104 timestamp = {20120611}, 70 ads={2013JPO....43..205J} 105 ads={2013JPO....43..205J}, 71 106 hal_id = {hal-00833030}, 72 107 url = {http://hal.archives-ouvertes.fr/hal-00833030}, … … 91 126 timestamp = {20120611}, 92 127 hal_id = {hal-00833029}, 93 url = {http://hal.archives-ouvertes.fr/hal-00833029},94 128 title = {{Using seasonal hindcasts to understand the origin of the equatorial cold tongue bias in CGCMs and its impact on ENSO}}, 95 author = {Vanni {\`e}re, Beno{\^\i}t and Guilyardi, Eric and Madec, Gurvan and Doblas-Reyes, Francisco J. and Woolnough, Steve},129 author = {Vannière, Benoît and Guilyardi, Eric and Madec, Gurvan and Doblas-Reyes, Francisco J. and Woolnough, Steve}, 96 130 abstract = {{The cold equatorial SST bias in the tropical Pacific that is persistent in many coupled OAGCMs severely impacts the fidelity of the simulated climate and variability in this key region, such as the ENSO phenomenon. The classical bias analysis in these models usually concentrates on multi-decadal to centennial time series needed to obtain statistically robust features. Yet, this strategy cannot fully explain how the models errors were generated in the first place. Here, we use seasonal re-forecasts (hindcasts) to track back the origin of this cold bias. As such hindcasts are initialized close to observations, the transient drift leading to the cold bias can be analyzed to distinguish pre-existing errors from errors responding to initial ones. A time sequence of processes involved in the advent of the final mean state errors can then be proposed. We apply this strategy to the ENSEMBLES-FP6 project multi-model hindcasts of the last decades. Four of the five AOGCMs develop a persistent equatorial cold tongue bias within a few months. The associated systematic errors are first assessed separately for the warm and cold ENSO phases. We find that the models are able to reproduce either El Ni{\\~n}o or La Ni{\\~n}a close to observations, but not both. ENSO composites then show that the spurious equatorial cooling is maximum for El Ni{\\~n}o years for the February and August start dates. For these events and at this time of the year, zonal wind errors in the equatorial Pacific are present from the beginning of the simulation and are hypothesized to be at the origin of the equatorial cold bias, generating too strong upwelling conditions. The systematic underestimation of the mixed layer depth in several models can also amplify the growth of the SST bias. The seminal role of these zonal wind errors is further demonstrated by carrying out ocean-only experiments forced by the AOCGCMs daily 10-meter wind. In a case study, we show that for several models, this forcing is sufficient to reproduce the main SST error patterns seen after 1 month in the AOCGCM hindcasts.}}, 97 131 keywords = {ENSO;Tropical Pacific;CGCMs errors;Cold tongue bias;Seasonal forecasts;}, … … 108 142 } 109 143 110 @inproceedings{VancoppenolleBoppEtAl ,EGU:2013,144 @inproceedings{VancoppenolleBoppEtAl:EGU:2013, 111 145 loceanbibid = {01956}, 112 146 loceanaffectation = {cnrs}, … … 136 170 hal_id = {hal-00833025}, 137 171 title = {{High resolution ice-ocean simulation of the Storfjorden polynya in Svalbard}}, 138 author = {Rousset, Cl {\'e}ment and Vivier, Fr{\'e}d{\'e}ric and Vancoppenolle, Martin and Benshila, Rachid and Madec, Gurvan and Bouruet-Aubertot, Pascale and Cuypers, Yannis and Louren{\c c}o, Antonio and Le Goff, Herv{\'e}},172 author = {Rousset, Clément and Vivier, Frédéric and Vancoppenolle, Martin and Benshila, Rachid and Madec, Gurvan and Bouruet-Aubertot, Pascale and Cuypers, Yannis and Lourenço, Antonio and Le Goff, Hervé}}, 139 173 abstract = {{Owing to the predicted and already observed dramatic impact of climate warming in the Arctic, there is a great need for monitoring this region not only to assess the magnitude of changes but also to understand the physical processes governing heat, salt and dynamical exchanges between ocean, ice and atmosphere, with improvement of climate models predictability as a challenging perspective. OPTIMISM (Observing dynamical and thermodynamical Processes impacting The sea-Ice Mass balance from In Situ Measurements) is a 4-year ANR/IPEV-funded project (2009-2013) involving 5 French laboratories . A backbone aspect of this project is the development of an autonomous instrument ("Ice-T" buoy + "BEAR" meteo mast), providing a comprehensive observation of the relevant parameters driving the sea ice mass balance. Processes are investigated from observations collected at two main sites: the central Arctic, and a coastal polynya of the Svalbard archipelago. A complementary approach , yet an ongoing task, is to build up a high resolution (}}, 140 174 language = {Anglais}, … … 160 194 url = {http://hal.archives-ouvertes.fr/hal-00833015}, 161 195 title = {{Damping effect of flexible phytoplanktonic C:N ratio on primary production at basin-scale}}, 162 author = {Ayata, Sakina-Doroth {\'e}e and L{\'e}vy, Marina and Aumont, Olivier and Resplandy, Laure and Tagliabue, Alessandro and Sciandra, Antoine and Bernard, Olivier},196 author = {Ayata, Sakina-Dorothée and Lévy, Marina and Aumont, Olivier and Resplandy, Laure and Tagliabue, Alessandro and Sciandra, Antoine and Bernard, Olivier}, 163 197 abstract = {{The spatial and temporal variations of the phytoplanktonic C:N ratio in an oceanic basin and its impact on primary production are described from 3D bio-physical modelling. A simple marine ecosystem model with variable phytoplanktonic C:N ratio (cell-quota model) is coupled to a 3D eddy-resolving model representing a double gyre circulation at basin-scale. The results are compared with those obtained with constant C:N ratio (Redfield model) in the same configuration. Realistic values of C:N ratios for phytoplankton and production are simulated, with mesoscale, seasonal, and zonal variations, and are in agreement with previous in situ measurements. Various metrics are used to describe the spatial and temporal scales of variability if the phytoplanktonic C:N ratio. Our main result is that taking into account phytoplanktonic plasticity through a variable C:N ratio (flexibility) smoothes the spatial and temporal variability of both phytoplankton concentration and primary production compared to Redfield model (damping effect). Especially, production is increased in the southern low-productive oligotrophic gyre and decreased in the northern high-productive gyre (of +39\% and -34\%, respectively, for the production in carbon).}}, 164 198 language = {Anglais}, … … 207 241 hal_id = {hal-00833010}, 208 242 title = {{Long range transport of a quasi isolated chlorophyll patch by an agulhas ring}}, 209 author = {Lehahn, Yoav and D'Ovidio, Francesco and L {\'e}vy, Marina and Amitai, Yael and Heifetz, Eyal},243 author = {Lehahn, Yoav and D'Ovidio, Francesco and Lévy, Marina and Amitai, Yael and Heifetz, Eyal}, 210 244 abstract = {{Using satellite retrievals of sea surface chlorophyll and geostrophic currents we study the evolution of a distinct chlorophyll patch transported by an Agulhas ring along a \~1,500 km track. Throughout an \~11 months period of the total 2 years eddy lifetime, the shape of the chlorophyll patch is consistently delimited by the horizontal transport barriers associated with the eddy. Analysis of Lagrangian time series of sea surface variables in and around the eddy suggests that the evolution of the chlorophyll patch is driven by two processes (i) slow lateral mixing with ambient waters mediated by horizontal stirring in filaments, and (ii) rapid events of wind induced vertical mixing. These results support the idea that mesoscale eddies shape biological production through the combination of horizontal and vertical dynamical processes, and emphasize the important role of horizontal eddy transport in sustaining biological production over the otherwise nutrient-depleted subtropical gyres.}}, 211 245 language = {Anglais}, … … 260 294 pages = {0214}, 261 295 date={2011-12-05/2011-12-09}, 262 address = {San Francisco, CA, {\'E}tats-Unis},296 address = {San Francisco, CA, USA}, 263 297 journal = {American Geophysical Union}, 264 298 volume = {41}, … … 276 310 ads={2013CliPD...9....1E}, 277 311 title = {{Holocene climate variations in the western Antarctic Peninsula: evidence for sea ice extent predominantly controlled by insolation and ENSO variability changes}}, 278 author = {Etourneau, Johan and Collins, L. G. and Willmott, V. and Kim, J. H. and Barbara, L. and Leventer, A. and Schouten, S. and Sinninghe Damst {\'e}, J. S. and Bianchini, A. and Klein, V. and Crosta, X. and Mass{\'e}, G.},312 author = {Etourneau, Johan and Collins, L. G. and Willmott, V. and Kim, J. H. and Barbara, L. and Leventer, A. and Schouten, S. and Sinninghe Damsté, J. S. and Bianchini, A. and Klein, V. and Crosta, X. and Massé, Guillaume}, 279 313 abstract = {{The West Antarctic ice sheet is particularly sensitive to global warming and its evolution and impact on global climate over the next few decades remains difficult to predict. In this context, investigating past sea ice conditions around Antarctica is of primary importance. Here, we document changes in sea ice presence, upper water column temperatures (0-200 m) and primary productivity over the last 9000 yr BP (before present) in the western Antarctic Peninsula (WAP) margin from a sedimentary core collected in the Palmer Deep basin. Employing a multi-proxy approach, we derived new Holocene records of sea ice conditions and upper water column temperatures, based on the combination of two biomarkers proxies (highly branched isoprenoid (HBI) alkenes for sea ice and TEXL86 for temperature) and micropaleontological data (diatom assemblages). The early Holocene (9000-7000 yr BP) was characterized by a cooling phase with a short sea ice season. During the mid-Holocene (\~ 7000-3000 yr BP), local climate evolved towards slightly colder conditions and a prominent extension of the sea ice season occurred, promoting a favorable environment for intensive diatom growth. The late Holocene (the last \~ 3000 yr) was characterized by more variable temperatures and increased sea ice presence, accompanied by reduced local primary productivity likely in response to a shorter growing season compared to the early or mid-Holocene. The stepwise increase in annual sea ice duration over the last 7000 yr might have been influenced by decreasing mean annual and spring insolation despite an increasing summer insolation. We postulate that in addition to precessional changes in insolation, seasonal variability, via changes in the strength of the circumpolar Westerlies and upwelling activity, was further amplified by the increasing frequency/amplitude of El Ni{\\~n}o-Southern Oscillation (ENSO). However, between 4000 and 2100 yr BP, the lack of correlation between ENSO and climate variability in the WAP suggests that other climatic factors might have been more important in controlling WAP climate at this time.}}, 280 314 language = {Anglais}, … … 319 353 timestamp = {20120605}, 320 354 title = {{Application of the TEX86-L temperature proxy in the Southern Ocean}}, 321 author = {Kim, Jung-Hyun and Willmott, Veronica and Etourneau, Johan and Crosta, Xavier and Massé, Guillaume and Bonnin, J {\'e}r{\^o}me and Schouten, Stefan and Sinninghe Damst{\'e}, Jaap S.},322 abstract = {{The TEX86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms, Schouten et al., 2002) paleothermometer was proposed based on the relative distribution of thaumarchaeotal lipids, i.e. isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs), and has been increasingly used to reconstruct past sea surface temperatures (SSTs). However, it appears that the TEX86 proxy might not be directly applicable for the polar oceans (Kim et al., 2008) and the use of a modified version of TEX86 with a logarithmic function which does not include the crenarchaeol regio-isomer (i.e. TEX86-L) seems to be a better option to reconstruct paleotemperatures in the Polar Oceans (Kim et al., 2010). More recently, a new calibration of TEX86-L with depth-integrated annual mean temperatures from 0 to 200 m water depth was also introduced with the calibration error of $\pm$2.8\degreC (Kim et al., 2012), since Thaumarchaeota are in low abundance in the Antarctic summer surface water (the \~0-45 m layer of low salinity water mass) but more abundant in winter in a \~45-105 m interval of cold, salty water (i.e. the summer remnant of the previous winter, surface-mixed layer) (Kalanetra et al., 2009). We applied the TEX86-L proxy and its 0-200 m calibration model on piston core MD03-2601 (66\degre03.07S; 138\degre33.43E; 746 m water depth) recovered from the eastern Antarctic continental margin and jumbo piston core 10 (JPC-10, 64\degre53'S, 64\degre12'W, 905 m water depth) obtained from the western Antarctic Peninsula. We also analyzed 19 sediment samples of ODP 1098 (64\degre51'S, 64\degre12'W, 1010 m water depth) drilled at the JPC-10 site for comparison with the record of Shevenell et al. (2011). The application of the TEX86-L on most recent sediments at core sites MD03-2601 and JPC-10 resulted in +4.0\degreC and +1.2\degreC temperature estimates, respectively, within the range reasonable of the present annual mean 0-200 m temperature at core sites considering the calibration error. TEX86-L-derived temperatures varied between +0\degreC and +4\degreC for the Holocene. The most striking features of the TEX86-L record were 1) a prominent increase in temperature centred at 6 kyr BP and 2) substantial temperature variability during the Late Holocene. The TEX86-L record from JPC-10 showed its maximum (>+3\degreC) at \~9,000 years BP. Following this peak, temperatures decreased to \~+1.5\degreC, until \~7,000 years BP. From \~7,000 to 4,200 years BP, temperatures slightly declined from +1.6 to +0.7\degreC, before reaching lowest values at \~3,000 years BP. The late Holocene was characterized by variable temperatures with a mean of +0.3\degreC. At around \~1,000 years BP, the temperature record exhibited a peak, with values approaching +2.5\degreC. Our new TEX86-L records from JPC-10 and ODP 1098 showed a consistent picture of temperature variation in Palmer Deep Basin. However, our results gave different temperature estimates in terms of amplitude and variations in comparison to the TEX86-SST values published by Shevenell et al. (2011). Our study also showed that TEX86-L derived temperatures at our core sites reflect a subsurface rather than a surface signal. Nevertheless, care has to be taken in interpreting the absolute values of TEX86-L derived reconstructions and relative changes in TEX86-L derived temperature can be viewed with more confidence. Kalanetra, K.M., Bano, N., and Hollibaugh, J.T.: Ammonia-oxidizing Archaea in the Arctic Ocean and Antarctic coastal waters, Environ. Microbiol., 11, 2434-2445, 2009. Kim, J.-H., Schouten, S., Hopmans, E.., Donner, B., and Sinninghe Damst {\'e}, J.S.: Global sediment core-top calibration of the TEX86 paleothermometer in the ocean, Geochim. Cosmochim. Acta, 72, 1154-1173, 2008. Kim, J.-H., van der Meer, J., Schouten, S., Helmke, P., Wilmott, V., Sangiorgi, F., Ko{\c c}, N., Hopmans, E.C., and SinningheDamst{\'e}, J.S.: New indices and calibrations derived from the distribution of creanarchaealisoprenoidtetraether lipids: Implications for past sea surface temperature reconstructions, Geochim. Cosmochim. Acta, 74, 4639-4654, 2010. Kim, J.-H., Crosta, X., Willmott, V., Renssen, H., Mass{\'e}, G., Bonnin, J., Helmke, P., Schouten, S., and Sinninghe Damst{\'e}, J.S.: Increase in Late Holocene subsurface temperature variability in East Antarctica, Geophys. Res. Lett., 39, L06705, doi:10.1029/2012GL051157, 2012. Schouten, S., Hopmans, E.C., Schefu{\ss}, E., and Sinninghe Damst{\'e}, J.S.: Distributional variations in marine crenarchaeotal membrane lipids: A new organic proxy for reconstructing ancient sea water temperatures? Earth Planet. Sci. Lett., 204, 265-274, 2002. Shevenell, A.E., Ingalls, A.E., Domack, E.W., and Kelly, C.: Holocene Southern Ocean surface temperature variability west of the Antarctic Peninsula, Nature, 470, 250-254, 2011.}},355 author = {Kim, Jung-Hyun and Willmott, Veronica and Etourneau, Johan and Crosta, Xavier and Massé, Guillaume and Bonnin, Jérôme and Schouten, Stefan and Sinninghe Damsté, Jaap S.}, 356 abstract = {{The TEX86 (TetraEther indeX of tetraethers consisting of 86 carbon atoms, Schouten et al., 2002) paleothermometer was proposed based on the relative distribution of thaumarchaeotal lipids, i.e. isoprenoid glycerol dibiphytanyl glycerol tetraethers (GDGTs), and has been increasingly used to reconstruct past sea surface temperatures (SSTs). However, it appears that the TEX86 proxy might not be directly applicable for the polar oceans (Kim et al., 2008) and the use of a modified version of TEX86 with a logarithmic function which does not include the crenarchaeol regio-isomer (i.e. TEX86-L) seems to be a better option to reconstruct paleotemperatures in the Polar Oceans (Kim et al., 2010). More recently, a new calibration of TEX86-L with depth-integrated annual mean temperatures from 0 to 200 m water depth was also introduced with the calibration error of $\pm$2.8\degreC (Kim et al., 2012), since Thaumarchaeota are in low abundance in the Antarctic summer surface water (the \~0-45 m layer of low salinity water mass) but more abundant in winter in a \~45-105 m interval of cold, salty water (i.e. the summer remnant of the previous winter, surface-mixed layer) (Kalanetra et al., 2009). We applied the TEX86-L proxy and its 0-200 m calibration model on piston core MD03-2601 (66\degre03.07S; 138\degre33.43E; 746 m water depth) recovered from the eastern Antarctic continental margin and jumbo piston core 10 (JPC-10, 64\degre53'S, 64\degre12'W, 905 m water depth) obtained from the western Antarctic Peninsula. We also analyzed 19 sediment samples of ODP 1098 (64\degre51'S, 64\degre12'W, 1010 m water depth) drilled at the JPC-10 site for comparison with the record of Shevenell et al. (2011). The application of the TEX86-L on most recent sediments at core sites MD03-2601 and JPC-10 resulted in +4.0\degreC and +1.2\degreC temperature estimates, respectively, within the range reasonable of the present annual mean 0-200 m temperature at core sites considering the calibration error. TEX86-L-derived temperatures varied between +0\degreC and +4\degreC for the Holocene. The most striking features of the TEX86-L record were 1) a prominent increase in temperature centred at 6 kyr BP and 2) substantial temperature variability during the Late Holocene. The TEX86-L record from JPC-10 showed its maximum (>+3\degreC) at \~9,000 years BP. Following this peak, temperatures decreased to \~+1.5\degreC, until \~7,000 years BP. From \~7,000 to 4,200 years BP, temperatures slightly declined from +1.6 to +0.7\degreC, before reaching lowest values at \~3,000 years BP. The late Holocene was characterized by variable temperatures with a mean of +0.3\degreC. At around \~1,000 years BP, the temperature record exhibited a peak, with values approaching +2.5\degreC. Our new TEX86-L records from JPC-10 and ODP 1098 showed a consistent picture of temperature variation in Palmer Deep Basin. However, our results gave different temperature estimates in terms of amplitude and variations in comparison to the TEX86-SST values published by Shevenell et al. (2011). Our study also showed that TEX86-L derived temperatures at our core sites reflect a subsurface rather than a surface signal. Nevertheless, care has to be taken in interpreting the absolute values of TEX86-L derived reconstructions and relative changes in TEX86-L derived temperature can be viewed with more confidence. Kalanetra, K.M., Bano, N., and Hollibaugh, J.T.: Ammonia-oxidizing Archaea in the Arctic Ocean and Antarctic coastal waters, Environ. Microbiol., 11, 2434-2445, 2009. Kim, J.-H., Schouten, S., Hopmans, E.., Donner, B., and Sinninghe Damsté, J.S.: Global sediment core-top calibration of the TEX86 paleothermometer in the ocean, Geochim. Cosmochim. Acta, 72, 1154-1173, 2008. Kim, J.-H., van der Meer, J., Schouten, S., Helmke, P., Wilmott, V., Sangiorgi, F., Ko{\c c}, N., Hopmans, E.C., and SinningheDamst{\'e}, J.S.: New indices and calibrations derived from the distribution of creanarchaealisoprenoidtetraether lipids: Implications for past sea surface temperature reconstructions, Geochim. Cosmochim. Acta, 74, 4639-4654, 2010. Kim, J.-H., Crosta, X., Willmott, V., Renssen, H., Massé, Guillaume, Bonnin, J., Helmke, P., Schouten, S., and Sinninghe Damsté, J.S.: Increase in Late Holocene subsurface temperature variability in East Antarctica, Geophys. Res. Lett., 39, L06705, doi:10.1029/2012GL051157, 2012. Schouten, S., Hopmans, E.C., Schefu{\ss}, E., and Sinninghe Damsté, J.S.: Distributional variations in marine crenarchaeotal membrane lipids: A new organic proxy for reconstructing ancient sea water temperatures? Earth Planet. Sci. Lett., 204, 265-274, 2002. Shevenell, A.E., Ingalls, A.E., Domack, E.W., and Kelly, C.: Holocene Southern Ocean surface temperature variability west of the Antarctic Peninsula, Nature, 470, 250-254, 2011.}}, 323 357 language = {Anglais}, 324 358 affiliation = {Laboratoire d'Oc{\'e}anographie et du Climat : Exp{\'e}rimentations et Approches Num{\'e}riques - LOCEAN , Department of Marine Organic Biogeochemistry , Department of Marine Biogeochemistry and Toxicology - NIOZ}, … … 363 397 hal_id = {hal-00801972}, 364 398 booktitle = {{En direct avec les scientifiques: 150 questions sur l'oc{\'e}an et le climat}}, 365 author = {Berthier, {\'E}tienne and Bopp, Laurent and Charmasson, Sabine and Eymard, Laurence and Gemenne, Fran{\c c}ois and Goulletquer, Philippe and Ha-Duong, Minh and Hallegatte, St{\'e}phane and Le Cozannet, Gon{\'e}ri and Lefranc, Yann and Magnan, Alexandre and Masson-Delmotte, Val{\'e}rie and Meyssignac, Beno{\^\i}t and Racape, Virginie and Rochette, Julien and Waelbroeck, Claire},399 author = {Berthier, Étienne and Bopp, Laurent and Charmasson, Sabine and Eymard, Laurence and Gemenne, François and Goulletquer, Philippe and Ha-Duong, Minh and Hallegatte, Stéphane and Le Cozannet, Gonéri and Lefranc, Yann and Magnan, Alexandre and Masson-Delmotte, Valérie and Meyssignac, Benoît and Racape, Virginie and Rochette, Julien and Waelbroeck, Claire}, 366 400 abstract = {{Ce livre est le t{\'e}moin vivant d un {\'e}change riche et unique entre 16 scientifiques et le grand public. Le changement climatique, en partie d{\^u} aux activit{\'e}s humaines, affecte l oc{\'e}an, r{\'e}gulateur important du climat. Les effets s observent d{\'e}j{\`a} {\`a} l'{\'e}chelle du monde : fonte des glaces continentales et oc{\'e}aniques, mont{\'e}e des eaux, acidification de l'oc{\'e}an... et leur impact sur les soci{\'e}t{\'e}s humaines s accentuera dans le demi-si{\`e}cle {\`a} venir. Il nous faut anticiper et pour nous adapter, mieux conna{\^\i}tre l oc{\'e}an et son r{\^o}le dans le climat, trouver des solutions applicables et acceptables par les populations. C est {\`a} cette relation {\'e}troite et fragile entre le climat, l oc{\'e}an et les hommes que s est int{\'e}ress{\'e}e l exposition qui a eu lieu {\`a} la Cit{\'e} des sciences entre le 6 avril 2011 et fin juin 2012. Exp{\'e}rience s{\'e}duisante, une borne permettait aux visiteurs de tous {\^a}ges de poser leurs questions, auxquelles 16 scientifiques ont r{\'e}pondu en fonction de leur domaine d expertise. " Comment se forment les vagues ? ", " Les ours polaires survivront-ils au r{\'e}chauffement climatique ? ", " C est quoi un tsunami ? ", " Venise sera-t-elle un jour sous l eau ? ", " L {\'e}volution actuelle du climat est-elle irr{\'e}versible ? ", " Les changements climatiques vont-ils provoquer des guerres ? ", " Quelle est la mer la plus pollu{\'e}e ? ", " Combien y a-t-il de CO2 dans la mer ? "... En tout, 150 questions et leurs r{\'e}ponses accessibles et ludiques. L ouvrage, mine d informations {\`a} la mise en pages graphique et a{\'e}r{\'e}e, a {\'e}t{\'e} con{\c c}u pour que le lecteur s y oriente le plus librement possible, s y prom{\`e}ne {\`a} son gr{\'e} selon ses propres interrogations, car chaque r{\'e}ponse peut se lire ind{\'e}pendamment des autres.}}, 367 401 language = {Fran{\c c}ais}, … … 1179 1213 système Mousson Indienne d'Eté - Oscillation Australe El Niño}, 1180 1214 date = {2012-10-02}, 1181 directeur_de_these = { {P}ascal {T}erray + {S}ébastien {M}asson},1215 directeur_de_these = {Terray, Pascal and Masson, Sébastien}, 1182 1216 financement = {UPMC}, 1183 1217 hal_id = {tel-00789861}, … … 3005 3039 aerestype = {AP}, 3006 3040 date = {2012-01-16}, 3007 directeur_de_these = {{J} .-{C}.{G}ascard + {T}. {V}ihma},3041 directeur_de_these = {{J}ean-{C}laude {G}ascard + {T}. {V}ihma}, 3008 3042 financement = {EU DAMOCLES}, 3009 3043 locean_dea = {M2}, … … 5814 5848 @ARTICLE{CuypersBouruetaubertotEtAl:BD:2011, 5815 5849 author = {Cuypers, Yannis and Bouruet-Aubertot, Pascale and Marec, C. and Fuda, J.-L.}, 5816 title = {{C}haracterization of turbulence and validation of a fine-scale parametrization in the {M}editerranean {S}ea during the BOUMexperiment},5850 title = {{C}haracterization of turbulence and validation of a fine-scale parametrization in the {M}editerranean {S}ea during the {BOUM} experiment}, 5817 5851 journal = {{B}iogeosciences {D}iscussions}, 5818 5852 year = {2011}, … … 6809 6843 comment = {20120207 ++ typo dans titre dans l'inventaire pour AERES, manque info 6810 6844 thesesud IRD}, 6811 directeur_de_these = { {S}erge {J}anicotand {S}. {S}awadogo},6845 directeur_de_these = {Janicot, Serge and {S}. {S}awadogo}, 6812 6846 financement = {IRD}, 6813 6847 locean_debuthese = {2007}, … … 7186 7220 aeresteam = {surf}, 7187 7221 date = {2011-02-18}, 7188 directeur_de_these = {V IVIER/BOURUET-AUBERTOT},7222 directeur_de_these = {Vivier, Frédéric and Bouruet-Aubertot, Pascale}, 7189 7223 financement = {UE scholarship}, 7190 7224 gender = {F}, … … 7689 7723 aeresteam = {surf}, 7690 7724 date = {2011-09-28}, 7691 directeur_de_these = {KOUADIO/B OUTIN},7725 directeur_de_these = {KOUADIO/Boutin, Jacqueline}, 7692 7726 financement = {DSF IRD}, 7693 7727 gender = {M}, … … 9218 9252 aeresteam = {surf}, 9219 9253 date = {2011-12-13}, 9220 directeur_de_these = { {P}.{B}ouruet-{A}ubertot + {G}illes {R}everdin},9254 directeur_de_these = {Pascale {B}ouruet-{A}ubertot + {G}illes {R}everdin}, 9221 9255 financement = {CNRS}, 9222 9256 locean_dea = {M2 OASC {T}oulouse}, … … 10157 10191 loceanbibid = {01491}, 10158 10192 loceanteam = {varclim,incas,nemo,phybiocar,surf}, 10159 timestamp = {20120419} 10193 timestamp = {20120419}, 10160 10194 ads={2013ClDy...40.2381S}, 10161 10195 pages = {2381-2399}, … … 12616 12650 et {A}pproches {N}umériques - LOCEAN}, 12617 12651 collaboration = {AMMA}, 12618 directeur_de_these = { {S}erge {J}anicot},12652 directeur_de_these = {Janicot, Serge}, 12619 12653 hal_id = {tel-00735618}, 12620 12654 keywords = {{M}ousson {A}fricaine, mise en place}, … … 13011 13045 type = {{T}hèse de doctorat}, 13012 13046 date = {2010-12-18}, 13013 directeur_de_these = {J ANICOT},13047 directeur_de_these = {Janicot, Serge}, 13014 13048 financement = {IRD}, 13015 13049 gender = {M}, … … 14114 14148 type = {{T}hèse de doctorat}, 14115 14149 date = {2010-04-08}, 14116 directeur_de_these = {T URCQ},14150 directeur_de_these = {Turcq, Bruno}, 14117 14151 financement = {CNPq}, 14118 14152 gender = {F}, … … 15344 15378 type = {{T}hèse de doctorat}, 15345 15379 date = {2010-06-16}, 15346 directeur_de_these = {S IFEDDINE},15380 directeur_de_these = {Sifeddine}, 15347 15381 financement = {CAPES}, 15348 15382 gender = {F}, … … 16745 16779 comment = {++ date de thèse mois 0 !}, 16746 16780 date = {2009-06-08}, 16747 directeur_de_these = {BESERRA CAMPOS {J}osé},16781 directeur_de_these = {BESERRA CAMPOS, {J}osé}, 16748 16782 financement = {FUNCAP}, 16749 16783 gender = {M}, … … 17471 17505 {B}uenos-{A}ires {A}rgentine}, 17472 17506 date = {2008-01-13}, 17473 directeur_de_these = {{G}uyot /Janicot},17507 directeur_de_these = {{G}uyot and Janicot, Serge}, 17474 17508 financement = {IRD}, 17475 17509 gender = {M}, … … 20192 20226 type = {{T}hèse de doctorat}, 20193 20227 date = {2009-05-11}, 20194 directeur_de_these = {A RAUJO{M}oacyr},20228 directeur_de_these = {Araujo, {M}oacyr}, 20195 20229 financement = {CAPES}, 20196 20230 gender = {M}, … … 20343 20377 aerestype = {AP}, 20344 20378 date = {2009-04-16}, 20345 directeur_de_these = { C. {P}rovost},20379 directeur_de_these = {{P}rovost, Christine}, 20346 20380 financement = {UPMC}, 20347 20381 locean_dea = {M2 {T}oulon}, … … 21105 21139 type = {{T}hèse de doctorat}, 21106 21140 date = {2009-04-28}, 21107 directeur_de_these = {T URCQ},21141 directeur_de_these = {Turcq, Bruno}, 21108 21142 financement = {CAPES}, 21109 21143 gender = {F}, … … 21452 21486 type = {{T}hèse de doctorat}, 21453 21487 date = {2008-11-07}, 21454 directeur_de_these = { {S}erge {J}anicot et {B}enjamin {S}ultan},21488 directeur_de_these = {Janicot, Serge et Sultan, Benjamin}, 21455 21489 financement = {IRD}, 21456 21490 gender = {F}, … … 22447 22481 type = {{T}hèse de doctorat}, 22448 22482 date = {2008-05-21}, 22449 directeur_de_these = {T URCQ},22483 directeur_de_these = {Turcq, Bruno}, 22450 22484 financement = {CNPq}, 22451 22485 gender = {F}, … … 31093 31127 year = {2006}, 31094 31128 type = {{T}hèse de doctorat}, 31095 directeur_de_these = {{A} .{S}aliot},31129 directeur_de_these = {{A}lain {S}aliot}, 31096 31130 financement = {{B}ourse {T}unisienne}, 31097 31131 locean_dea = {{T}unisie},
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