TY - JOUR A1 - Middeldorp, Christel M. A1 - Mahajan, Anubha A1 - Horikoshi, Momoko A1 - Robertson, Neil R. A1 - Beaumont, Robin N. A1 - Bradfield, Jonathan P. A1 - Bustamante, Mariona A1 - Cousminer, Diana L. A1 - Day, Felix R. A1 - De Silva, N. Maneka A1 - Guxens, Monica A1 - Mook-Kanamori, Dennis O. A1 - St Pourcain, Beate A1 - Warrington, Nicole M. A1 - Adair, Linda S. A1 - Ahlqvist, Emma A1 - Ahluwalia, Tarunveer Singh A1 - Almgren, Peter A1 - Ang, Wei A1 - Atalay, Mustafa A1 - Auvinen, Juha A1 - Bartels, Meike A1 - Beckmann, Jacques S. A1 - Bilbao, Jose Ramon A1 - Bond, Tom A1 - Borja, Judith B. A1 - Cavadino, Alana A1 - Charoen, Pimphen A1 - Chen, Zhanghua A1 - Coin, Lachlan A1 - Cooper, Cyrus A1 - Curtin, John A. A1 - Custovic, Adnan A1 - Das, Shikta A1 - Davies, Gareth E. A1 - Dedoussis, George V. A1 - Duijts, Liesbeth A1 - Eastwood, Peter R. A1 - Eliasen, Anders U. A1 - Elliott, Paul A1 - Eriksson, Johan G. A1 - Estivill, Xavier A1 - Fadista, Joao A1 - Fedko, Iryna O. A1 - Frayling, Timothy M. A1 - Gaillard, Romy A1 - Gauderman, W. James A1 - Geller, Frank A1 - Gilliland, Frank A1 - Gilsanz, Vincente A1 - Granell, Raquel A1 - Grarup, Niels A1 - Groop, Leif A1 - Hadley, Dexter A1 - Hakonarson, Hakon A1 - Hansen, Torben A1 - Hartman, Catharina A. A1 - Hattersley, Andrew T. A1 - Hayes, M. Geoffrey A1 - Hebebrand, Johannes A1 - Heinrich, Joachim A1 - Helgeland, Oyvind A1 - Henders, Anjali K. A1 - Henderson, John A1 - Henriksen, Tine B. A1 - Hirschhorn, Joel N. A1 - Hivert, Marie-France A1 - Hocher, Berthold A1 - Holloway, John W. A1 - Holt, Patrick A1 - Hottenga, Jouke-Jan A1 - Hypponen, Elina A1 - Iniguez, Carmen A1 - Johansson, Stefan A1 - Jugessur, Astanand A1 - Kahonen, Mika A1 - Kalkwarf, Heidi J. A1 - Kaprio, Jaakko A1 - Karhunen, Ville A1 - Kemp, John P. A1 - Kerkhof, Marjan A1 - Koppelman, Gerard H. A1 - Korner, Antje A1 - Kotecha, Sailesh A1 - Kreiner-Moller, Eskil A1 - Kulohoma, Benard A1 - Kumar, Ashish A1 - Kutalik, Zoltan A1 - Lahti, Jari A1 - Lappe, Joan M. A1 - Larsson, Henrik A1 - Lehtimaki, Terho A1 - Lewin, Alexandra M. A1 - Li, Jin A1 - Lichtenstein, Paul A1 - Lindgren, Cecilia M. A1 - Lindi, Virpi A1 - Linneberg, Allan A1 - Liu, Xueping A1 - Liu, Jun A1 - Lowe, William L. A1 - Lundstrom, Sebastian A1 - Lyytikainen, Leo-Pekka A1 - Ma, Ronald C. W. A1 - Mace, Aurelien A1 - Magi, Reedik A1 - Magnus, Per A1 - Mamun, Abdullah A. A1 - Mannikko, Minna A1 - Martin, Nicholas G. A1 - Mbarek, Hamdi A1 - McCarthy, Nina S. A1 - Medland, Sarah E. A1 - Melbye, Mads A1 - Melen, Erik A1 - Mohlke, Karen L. A1 - Monnereau, Claire A1 - Morgen, Camilla S. A1 - Morris, Andrew P. A1 - Murray, Jeffrey C. A1 - Myhre, Ronny A1 - Najman, Jackob M. A1 - Nivard, Michel G. A1 - Nohr, Ellen A. A1 - Nolte, Ilja M. A1 - Ntalla, Ioanna A1 - Oberfield, Sharon E. A1 - Oken, Emily A1 - Oldehinkel, Albertine J. A1 - Pahkala, Katja A1 - Palviainen, Teemu A1 - Panoutsopoulou, Kalliope A1 - Pedersen, Oluf A1 - Pennell, Craig E. A1 - Pershagen, Goran A1 - Pitkanen, Niina A1 - Plomin, Robert A1 - Power, Christine A1 - Prasad, Rashmi B. A1 - Prokopenko, Inga A1 - Pulkkinen, Lea A1 - Raikkonen, Katri A1 - Raitakari, Olli T. A1 - Reynolds, Rebecca M. A1 - Richmond, Rebecca C. A1 - Rivadeneira, Fernando A1 - Rodriguez, Alina A1 - Rose, Richard J. A1 - Salem, Rany A1 - Santa-Marina, Loreto A1 - Saw, Seang-Mei A1 - Schnurr, Theresia M. A1 - Scott, James G. A1 - Selzam, Saskia A1 - Shepherd, John A. A1 - Simpson, Angela A1 - Skotte, Line A1 - Sleiman, Patrick M. A. A1 - Snieder, Harold A1 - Sorensen, Thorkild I. A. A1 - Standl, Marie A1 - Steegers, Eric A. P. A1 - Strachan, David P. A1 - Straker, Leon A1 - Strandberg, Timo A1 - Taylor, Michelle A1 - Teo, Yik-Ying A1 - Thiering, Elisabeth A1 - Torrent, Maties A1 - Tyrrell, Jessica A1 - Uitterlinden, Andre G. A1 - van Beijsterveldt, Toos A1 - van der Most, Peter J. A1 - van Duijn, Cornelia M. A1 - Viikari, Jorma A1 - Vilor-Tejedor, Natalia A1 - Vogelezang, Suzanne A1 - Vonk, Judith M. A1 - Vrijkotte, Tanja G. M. A1 - Vuoksimaa, Eero A1 - Wang, Carol A. A1 - Watkins, William J. A1 - Wichmann, H-Erich A1 - Willemsen, Gonneke A1 - Williams, Gail M. A1 - Wilson, James F. A1 - Wray, Naomi R. A1 - Xu, Shujing A1 - Xu, Cheng-Jian A1 - Yaghootkar, Hanieh A1 - Yi, Lu A1 - Zafarmand, Mohammad Hadi A1 - Zeggini, Eleftheria A1 - Zemel, Babette S. A1 - Hinney, Anke A1 - Lakka, Timo A. A1 - Whitehouse, Andrew J. O. A1 - Sunyer, Jordi A1 - Widen, Elisabeth E. A1 - Feenstra, Bjarke A1 - Sebert, Sylvain A1 - Jacobsson, Bo A1 - Njolstad, Pal R. A1 - Stoltenberg, Camilla A1 - Smith, George Davey A1 - Lawlor, Debbie A. A1 - Paternoster, Lavinia A1 - Timpson, Nicholas J. A1 - Ong, Ken K. A1 - Bisgaard, Hans A1 - Bonnelykke, Klaus A1 - Jaddoe, Vincent W. V. A1 - Tiemeier, Henning A1 - Jarvelin, Marjo-Riitta A1 - Evans, David M. A1 - Perry, John R. B. A1 - Grant, Struan F. A. A1 - Boomsma, Dorret I. A1 - Freathy, Rachel M. A1 - McCarthy, Mark I. A1 - Felix, Janine F. T1 - The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia BT - design, results and future prospects JF - European journal of epidemiology N2 - The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites. KW - Genetics KW - Consortium KW - Childhood traits and disorders KW - Longitudinal Y1 - 2019 U6 - https://doi.org/10.1007/s10654-019-00502-9 SN - 0393-2990 SN - 1573-7284 VL - 34 IS - 3 SP - 279 EP - 300 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Warrington, Nicole A1 - Beaumont, Robin A1 - Horikoshi, Momoko A1 - Day, Felix R. A1 - Helgeland, Øyvind A1 - Laurin, Charles A1 - Bacelis, Jonas A1 - Peng, Shouneng A1 - Hao, Ke A1 - Feenstra, Bjarke A1 - Wood, Andrew R. A1 - Mahajan, Anubha A1 - Tyrrell, Jessica A1 - Robertson, Neil R. A1 - Rayner, N. William A1 - Qiao, Zhen A1 - Moen, Gunn-Helen A1 - Vaudel, Marc A1 - Marsit, Carmen A1 - Chen, Jia A1 - Nodzenski, Michael A1 - Schnurr, Theresia M. A1 - Zafarmand, Mohammad Hadi A1 - Bradfield, Jonathan P. A1 - Grarup, Niels A1 - Kooijman, Marjolein N. A1 - Li-Gao, Ruifang A1 - Geller, Frank A1 - Ahluwalia, Tarunveer Singh A1 - Paternoster, Lavinia A1 - Rueedi, Rico A1 - Huikari, Ville A1 - Hottenga, Jouke-Jan A1 - Lyytikäinen, Leo-Pekka A1 - Cavadino, Alana A1 - Metrustry, Sarah A1 - Cousminer, Diana L. A1 - Wu, Ying A1 - Thiering, Elisabeth Paula A1 - Wang, Carol A. A1 - Have, Christian Theil A1 - Vilor-Tejedor, Natalia A1 - Joshi, Peter K. A1 - Painter, Jodie N. A1 - Ntalla, Ioanna A1 - Myhre, Ronny A1 - Pitkänen, Niina A1 - van Leeuwen, Elisabeth M. A1 - Joro, Raimo A1 - Lagou, Vasiliki A1 - Richmond, Rebecca C. A1 - Espinosa, Ana A1 - Barton, Sheila J. A1 - Inskip, Hazel M. A1 - Holloway, John W. A1 - Santa-Marina, Loreto A1 - Estivill, Xavier A1 - Ang, Wei A1 - Marsh, Julie A. A1 - Reichetzeder, Christoph A1 - Marullo, Letizia A1 - Hocher, Berthold A1 - Lunetta, Kathryn L. A1 - Murabito, Joanne M. A1 - Relton, Caroline L. A1 - Kogevinas, Manolis A1 - Chatzi, Leda A1 - Allard, Catherine A1 - Bouchard, Luigi A1 - Hivert, Marie-France A1 - Zhang, Ge A1 - Muglia, Louis J. A1 - Heikkinen, Jani A1 - Morgen, Camilla S. A1 - van Kampen, Antoine H. C. A1 - van Schaik, Barbera D. C. A1 - Mentch, Frank D. A1 - Langenberg, Claudia A1 - Scott, Robert A. A1 - Zhao, Jing Hua A1 - Hemani, Gibran A1 - Ring, Susan M. A1 - Bennett, Amanda J. A1 - Gaulton, Kyle J. A1 - Fernandez-Tajes, Juan A1 - van Zuydam, Natalie R. A1 - Medina-Gomez, Carolina A1 - de Haan, Hugoline G. A1 - Rosendaal, Frits R. A1 - Kutalik, Zoltán A1 - Marques-Vidal, Pedro A1 - Das, Shikta A1 - Willemsen, Gonneke A1 - Mbarek, Hamdi A1 - Müller-Nurasyid, Martina A1 - Standl, Marie A1 - Appel, Emil V. R. A1 - Fonvig, Cilius Esmann A1 - Trier, Caecilie A1 - van Beijsterveldt, Catharina E. M. A1 - Murcia, Mario A1 - Bustamante, Mariona A1 - Bonàs-Guarch, Sílvia A1 - Hougaard, David M. A1 - Mercader, Josep M. A1 - Linneberg, Allan A1 - Schraut, Katharina E. A1 - Lind, Penelope A. A1 - Medland, Sarah Elizabeth A1 - Shields, Beverley M. A1 - Knight, Bridget A. A1 - Chai, Jin-Fang A1 - Panoutsopoulou, Kalliope A1 - Bartels, Meike A1 - Sánchez, Friman A1 - Stokholm, Jakob A1 - Torrents, David A1 - Vinding, Rebecca K. A1 - Willems, Sara M. A1 - Atalay, Mustafa A1 - Chawes, Bo L. A1 - Kovacs, Peter A1 - Prokopenko, Inga A1 - Tuke, Marcus A. A1 - Yaghootkar, Hanieh A1 - Ruth, Katherine S. A1 - Jones, Samuel E. A1 - Loh, Po-Ru A1 - Murray, Anna A1 - Weedon, Michael N. A1 - Tönjes, Anke A1 - Stumvoll, Michael A1 - Michaelsen, Kim Fleischer A1 - Eloranta, Aino-Maija A1 - Lakka, Timo A. A1 - van Duijn, Cornelia M. A1 - Kiess, Wieland A1 - Koerner, Antje A1 - Niinikoski, Harri A1 - Pahkala, Katja A1 - Raitakari, Olli T. A1 - Jacobsson, Bo A1 - Zeggini, Eleftheria A1 - Dedoussis, George V. A1 - Teo, Yik-Ying A1 - Saw, Seang-Mei A1 - Montgomery, Grant W. A1 - Campbell, Harry A1 - Wilson, James F. A1 - Vrijkotte, Tanja G. M. A1 - Vrijheid, Martine A1 - de Geus, Eco J. C. N. A1 - Hayes, M. Geoffrey A1 - Kadarmideen, Haja N. A1 - Holm, Jens-Christian A1 - Beilin, Lawrence J. A1 - Pennell, Craig E. A1 - Heinrich, Joachim A1 - Adair, Linda S. A1 - Borja, Judith B. A1 - Mohlke, Karen L. A1 - Eriksson, Johan G. A1 - Widen, Elisabeth E. A1 - Hattersley, Andrew T. A1 - Spector, Tim D. A1 - Kaehoenen, Mika A1 - Viikari, Jorma S. A1 - Lehtimaeki, Terho A1 - Boomsma, Dorret I. A1 - Sebert, Sylvain A1 - Vollenweider, Peter A1 - Sorensen, Thorkild I. A. A1 - Bisgaard, Hans A1 - Bonnelykke, Klaus A1 - Murray, Jeffrey C. A1 - Melbye, Mads A1 - Nohr, Ellen A. A1 - Mook-Kanamori, Dennis O. A1 - Rivadeneira, Fernando A1 - Hofman, Albert A1 - Felix, Janine F. A1 - Jaddoe, Vincent W. V. A1 - Hansen, Torben A1 - Pisinger, Charlotta A1 - Vaag, Allan A. A1 - Pedersen, Oluf A1 - Uitterlinden, Andre G. A1 - Jarvelin, Marjo-Riitta A1 - Power, Christine A1 - Hypponen, Elina A1 - Scholtens, Denise M. A1 - Lowe, William L. A1 - Smith, George Davey A1 - Timpson, Nicholas J. A1 - Morris, Andrew P. A1 - Wareham, Nicholas J. A1 - Hakonarson, Hakon A1 - Grant, Struan F. A. A1 - Frayling, Timothy M. A1 - Lawlor, Debbie A. A1 - Njolstad, Pal R. A1 - Johansson, Stefan A1 - Ong, Ken K. A1 - McCarthy, Mark I. A1 - Perry, John R. B. A1 - Evans, David M. A1 - Freathy, Rachel M. T1 - Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors JF - Nature genetics N2 - Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming. Y1 - 2019 SN - 1061-4036 SN - 1546-1718 VL - 51 IS - 5 SP - 804 EP - + PB - Nature Publ. Group CY - New York ER - TY - JOUR A1 - Kikstra, Jarmo S. A1 - Nicholls, Zebedee R. J. A1 - Smith, Christopher J. A1 - Lewis, Jared A1 - Lamboll, Robin D. A1 - Byers, Edward A1 - Sandstad, Marit A1 - Meinshausen, Malte A1 - Gidden, Matthew J. A1 - Rogelj, Joeri A1 - Kriegler, Elmar A1 - Peters, Glen P. A1 - Fuglestvedt, Jan S. A1 - Skeie, Ragnhild B. A1 - Samset, Bjørn H. A1 - Wienpahl, Laura A1 - van Vuuren, Detlef P. A1 - van der Wijst, Kaj-Ivar A1 - Al Khourdajie, Alaa A1 - Forster, Piers M. A1 - Reisinger, Andy A1 - Schaeffer, Roberto A1 - Riahi, Keywan T1 - The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways BT - from emissions to global temperatures JF - Geoscientific model development N2 - While the Intergovernmental Panel on Climate Change (IPCC) physical science reports usually assess a handful of future scenarios, the Working Group III contribution on climate mitigation to the IPCC's Sixth Assessment Report (AR6 WGIII) assesses hundreds to thousands of future emissions scenarios. A key task in WGIII is to assess the global mean temperature outcomes of these scenarios in a consistent manner, given the challenge that the emissions scenarios from different integrated assessment models (IAMs) come with different sectoral and gas-to-gas coverage and cannot all be assessed consistently by complex Earth system models. In this work, we describe the “climate-assessment” workflow and its methods, including infilling of missing emissions and emissions harmonisation as applied to 1202 mitigation scenarios in AR6 WGIII. We evaluate the global mean temperature projections and effective radiative forcing (ERF) characteristics of climate emulators FaIRv1.6.2 and MAGICCv7.5.3 and use the CICERO simple climate model (CICERO-SCM) for sensitivity analysis. We discuss the implied overshoot severity of the mitigation pathways using overshoot degree years and look at emissions and temperature characteristics of scenarios compatible with one possible interpretation of the Paris Agreement. We find that the lowest class of emissions scenarios that limit global warming to “1.5 ∘C (with a probability of greater than 50 %) with no or limited overshoot” includes 97 scenarios for MAGICCv7.5.3 and 203 for FaIRv1.6.2. For the MAGICCv7.5.3 results, “limited overshoot” typically implies exceedance of median temperature projections of up to about 0.1 ∘C for up to a few decades before returning to below 1.5 ∘C by or before the year 2100. For more than half of the scenarios in this category that comply with three criteria for being “Paris-compatible”, including net-zero or net-negative greenhouse gas (GHG) emissions, median temperatures decline by about 0.3–0.4 ∘C after peaking at 1.5–1.6 ∘C in 2035–2055. We compare the methods applied in AR6 with the methods used for SR1.5 and discuss their implications. This article also introduces a “climate-assessment” Python package which allows for fully reproducing the IPCC AR6 WGIII temperature assessment. This work provides a community tool for assessing the temperature outcomes of emissions pathways and provides a basis for further work such as extending the workflow to include downscaling of climate characteristics to a regional level and calculating impacts. Y1 - 2022 U6 - https://doi.org/10.5194/gmd-15-9075-2022 SN - 1991-959X SN - 1991-9603 VL - 15 IS - 24 SP - 9075 EP - 9109 PB - Copernicus CY - Katlenburg-Lindau ER - TY - JOUR A1 - Seroussi, Helene A1 - Nowicki, Sophie A1 - Payne, Antony J. A1 - Goelzer, Heiko A1 - Lipscomb, William H. A1 - Abe-Ouchi, Ayako A1 - Agosta, Cecile A1 - Albrecht, Torsten A1 - Asay-Davis, Xylar A1 - Barthel, Alice A1 - Calov, Reinhard A1 - Cullather, Richard A1 - Dumas, Christophe A1 - Galton-Fenzi, Benjamin K. A1 - Gladstone, Rupert A1 - Golledge, Nicholas R. A1 - Gregory, Jonathan M. A1 - Greve, Ralf A1 - Hattermann, Tore A1 - Hoffman, Matthew J. A1 - Humbert, Angelika A1 - Huybrechts, Philippe A1 - Jourdain, Nicolas C. A1 - Kleiner, Thomas A1 - Larour, Eric A1 - Leguy, Gunter R. A1 - Lowry, Daniel P. A1 - Little, Chistopher M. A1 - Morlighem, Mathieu A1 - Pattyn, Frank A1 - Pelle, Tyler A1 - Price, Stephen F. A1 - Quiquet, Aurelien A1 - Reese, Ronja A1 - Schlegel, Nicole-Jeanne A1 - Shepherd, Andrew A1 - Simon, Erika A1 - Smith, Robin S. A1 - Straneo, Fiammetta A1 - Sun, Sainan A1 - Trusel, Luke D. A1 - Van Breedam, Jonas A1 - van de Wal, Roderik S. W. A1 - Winkelmann, Ricarda A1 - Zhao, Chen A1 - Zhang, Tong A1 - Zwinger, Thomas T1 - ISMIP6 Antarctica BT - a multi-model ensemble of the Antarctic ice sheet evolution over the 21st century JF - The Cryosphere : TC ; an interactive open access journal of the European Geosciences Union N2 - Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution in response to different climate scenarios and assess the mass loss that would contribute to future sea level rise. However, there is currently no consensus on estimates of the future mass balance of the ice sheet, primarily because of differences in the representation of physical processes, forcings employed and initial states of ice sheet models. This study presents results from ice flow model simulations from 13 international groups focusing on the evolution of the Antarctic ice sheet during the period 2015-2100 as part of the Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). They are forced with outputs from a subset of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5), representative of the spread in climate model results. Simulations of the Antarctic ice sheet contribution to sea level rise in response to increased warming during this period varies between 7:8 and 30.0 cm of sea level equivalent (SLE) under Representative Concentration Pathway (RCP) 8.5 scenario forcing. These numbers are relative to a control experiment with constant climate conditions and should therefore be added to the mass loss contribution under climate conditions similar to present-day conditions over the same period. The simulated evolution of the West Antarctic ice sheet varies widely among models, with an overall mass loss, up to 18.0 cm SLE, in response to changes in oceanic conditions. East Antarctica mass change varies between 6 :1 and 8.3 cm SLE in the simulations, with a significant increase in surface mass balance outweighing the increased ice discharge under most RCP 8.5 scenario forcings. The inclusion of ice shelf collapse, here assumed to be caused by large amounts of liquid water ponding at the surface of ice shelves, yields an additional simulated mass loss of 28mm compared to simulations without ice shelf collapse. The largest sources of uncertainty come from the climate forcing, the ocean-induced melt rates, the calibration of these melt rates based on oceanic conditions taken outside of ice shelf cavities and the ice sheet dynamic response to these oceanic changes. Results under RCP 2.6 scenario based on two CMIP5 climate models show an additional mass loss of 0 and 3 cm of SLE on average compared to simulations done under present-day conditions for the two CMIP5 forcings used and display limited mass gain in East Antarctica. Y1 - 2020 U6 - https://doi.org/10.5194/tc-14-3033-2020 SN - 1994-0416 SN - 1994-0424 VL - 14 IS - 9 SP - 3033 EP - 3070 PB - Copernicus CY - Göttingen ER -