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Massonnet, François
ORCID ResearcherID

Instituut
Publicaties (73)

Université Catholique de Louvain; Science and Technology Sector; Earth and Life Institute; Earth and Climate division (ELIc), meer

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A1 publicaties (60) [show]
Delhaye, S.; Massonnet, F.; Fichefet, T.; Msadek, R.; Terray, L.; Screen, J. (2024). Dominant role of early winter Barents-Kara sea ice extent anomalies in subsequent atmospheric circulation changes in CMIP6 models. Clim. Dyn. Online First: 24. https://dx.doi.org/10.1007/s00382-023-06904-6, meer Blanchard-Wrigglesworth, E.; Bushuk, M.; Massonnet, F.; Hamilton, L.C.; Bitz, C.M.; Meier, W.N.; Bhatt, U.S. (2023). Forecast skill of the Arctic sea ice outlook 2008-2022. Geophys. Res. Lett. 50(6): e2022GL102531. https://dx.doi.org/10.1029/2022GL102531, meer Goosse, H.; Contador, S.A.; Bitz, C.M.; Blanchard-Wrigglesworth, E.; Eayrs, C.; Fichefet, T.; Himmich, K.; Huot, P.-V.; Klein, F.; Marchi, S.; Massonnet, F.; Mezzina, B.; Pelletier, C.; Roach, L.; Vancoppenolle, M.; van Lipzig, N.P.M. (2023). Modulation of the seasonal cycle of the Antarctic sea ice extent by sea iceprocesses and feedbacks with the ocean and the atmosphere. Cryosphere 17(1): 407-425. https://dx.doi.org/10.5194/tc-17-407-2023, meer Lin, X.; Massonnet, F.; Fichefet, T.; Vancoppenolle, M. (2023). Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models. Cryosphere 17(5): 1935-1965. https://dx.doi.org/10.5194/tc-17-1935-2023, meer Massonnet, F.; Barreira, S.; Barthélemy, A.; Bilbao, R.; Blanchard-Wrigglesworth, E.; Blockley, E.; Bromwich, D.H.; Bushuk, M.; Dong, X.; Goessling, H.F.; Hobbs, W.; Iovino, D.; Lee, W.-S.; Liu, C.; Meier, W.N.; Merryfield, W.J.; Moreno-Chamarro, E.; Morioka, Y.; Li, X.; Niraula, B.; Petty, A.; Sanna, A.; Scilingo, M.; Shu, Q.; Sigmond, M.; Sun, N.; Tietsche, S.; Wu, X.; Yang, Q.; Yuan, X. (2023). SIPN South: six years of coordinated seasonal Antarctic sea ice predictions. Front. Mar. Sci. 10: 1148899. https://dx.doi.org/10.3389/fmars.2023.1148899, meer Sterlin, J.; Tsamados, M.; Fichefet, T.; Massonnet, F.; Barbic, G. (2023). Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model. Ocean Modelling 184: 102227. https://dx.doi.org/10.1016/j.ocemod.2023.102227, meer Nie, Y.; Uotila, P.; Cheng, B.; Massonnet, F.; Kimura, N.; Cipollone, A.; Lv, X. (2022). Southern Ocean sea ice concentration budgets of five ocean-sea ice reanalyses. Clim. Dyn. 59: 3265-3285. https://dx.doi.org/10.1007/s00382-022-06260-x, meer Ortega, P.; Blockley, E.W.; Køltzow, M.; Massonnet, F.; Sandu, I.; Svensson, G.; Acosta Navarro, J.C.; Arduini, G.; Batté, L.; Bazile, E.; Chevallier, M.; Cruz-García, R.; Day, J.J.; Fichefet, T.; Flocco, D.; Gupta, M.; Hartung, K.; Hawkins, E.; Hinrichs, C.; Magnusson, L.; Moreno-Chamarro, E.; Pérez-Montero, S.; Ponsoni, L.; Semmler, T.; Smith, D.; Sterlin, J.; Tjernström, M.; Välisuo, I.; Jung, T. (2022). Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE. Bull. Am. Meteorol. Soc. 103(10): E2203-E2213. https://dx.doi.org/10.1175/bams-d-22-0083.1, meer Pelletier, C.; Fichefet, T.; Goosse, H.; Haubner, K.; Helsen, S.; Huot, P.-V.; Kittel, C.; Klein, F.; Le Clec'h, S.; van Lipzig, N.P.M.; Marchi, S.; Massonnet, F.; Mathiot, P.; Moravveji, E.; Moreno-Chamarro, E.; Ortega, P.; Pattyn, F.; Souverijns, N.; Van Achter, G.; Vanden Broucke, S.; Vanhulle, A.; Verfaillie, D.; Zipf, L. (2022). PARASO, a circum-Antarctic fully coupled ice-sheet-ocean-sea-ice-atmosphere-land model involving f.ETISh1.7, NEMO3.6, LIM3.6, COSM05.0 and CLM4.5. Geosci. Model Dev. 15(2): 553-594. https://dx.doi.org/10.5194/gmd-15-553-2022, meer Cruz-García, R.; Ortega, P.; Guemas, V.; Acosta Navarro, J.C.; Massonnet, F.; Doblas-Reyes, F.J. (2021). An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth. Clim. Dyn. 56(5-6): 1799-1813. https://hdl.handle.net/10.1007/s00382-020-05560-4, meer Keen, A.; Blockley, E.; Bailey, D.A.; Debernard, J.B.; Bushuk, M.; Delhaye, S.; Docquier, D.; Feltham, D.; Massonnet, F.; O'Farrell, S.; Ponsoni, L.; Rodriguez, J.M.; Schroeder, D.; Swart, N.; Toyoda, T.; Tsujino, H.; Vancoppenolle, M.; Wyser, K. (2021). An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models. Cryosphere 15(2): 951-982. https://hdl.handle.net/10.5194/tc-15-951-2021, meer Lin, X.; Massonnet, F.; Fichefet, T.; Vancoppenolle, M. (2021). SITool (v1.0) - a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP. Geosci. Model Dev. 14(10): 6331-6354. https://dx.doi.org/10.5194/gmd-14-6331-2021, meer Lukovich, J.V.; Stroeve, J.C.; Crawford, A.; Hamilton, L.; Tsamados, M.; Heorton, H.; Massonnet, F. (2021). Summer extreme cyclone impacts on Arctic sea ice. J. Clim. 34(12): 4817-4834. https://dx.doi.org/10.1175/JCLI-D-19-0925.1, meer Sandu, I.; Massonnet, F.; van Achter, G.; Acosta Navarro, J.C.; Arduini, G.; Bauer, P.; Blockley, E.; Bormann, N.; Chevallier, M.; Day, J.; Dahoui, M.; Fichefet, T.; Flocco, D.; Jung, T.; Hawkins, E.; Laroche, S.; Lawrence, H.; Kristiansen, J.; Moreno-Chamarro, E.; Ortega, P.; Poan, E.; Ponsoni, L.; Randriamampianina, R. (2021). The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects. Q. J. R. Meteorol. Soc. 147(741): 3863-3877. https://dx.doi.org/10.1002/qj.4182, meer Shi, Q.; Yang, Q.; Mu, L.; Wang, J.; Massonnet, F.; Mazloff, M.R. (2021). Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea. Cryosphere 15(1): 31-47. https://hdl.handle.net/10.5194/tc-15-31-2021, meer Steele, M.; Eicken, H.; Bhatt, U.; Bieniek, K.P.; Blanchard-Wrigglesworth, E.; Wiggins, H.; Turner-Bogren, B.; Hamilton, L.; Little, J.; Massonnet, F.; Meier, W.N.; Overland, J.; Serreze, M.; Stroeve, J.; Walsh, J.; Wang, M.Y. (2021). Moving sea ice prediction forward via community intercomparison. Bull. Am. Meteorol. Soc. 102(12): E2226-E2228. https://dx.doi.org/10.1175/BAMS-D-21-0159.1, meer Sterlin, J.; Fichefet, T.; Massonnet, F.; Lecomte, O.; Vancoppenolle, M. (2021). Sensitivity of Arctic sea ice to melt pond processes and atmospheric forcing: a model study. Ocean Modelling 167: 15101872. https://dx.doi.org/10.1016/j.ocemod.2021.101872, meer Tian, T.; Yang, S.; Karami, M.P.; Massonnet, F.; Kruschke, T.; Koenigk, T. (2021). Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3. Geosci. Model Dev. 14(7): 4283-4305. https://dx.doi.org/10.5194/gmd-14-4283-2021, meer Acosta Navarro, J.C.; Ortega, P.; Batté, L.; Smith, D.; Bretonnière, P.A.; Guemas, V.; Massonnet, F.; Sicardi, V.; Torralba, V.; Tourigny, E.; Doblas-Reyes, F.J. (2020). Link between autumnal Arctic sea ice and northern hemisphere winter forecast skill. Geophys. Res. Lett. 47(5): e2019GL086753. https://hdl.handle.net/10.1029/2019GL086753, meer Blockley, E.; Vancoppenolle, M.; Hunke, E.; Bitz, C.; Feltham, D.; Lemieux, J.-F.; Losch, M.; Maisonnave, E.; Notz, D.; Rampal, P.; Tietsche, S.; Tremblay, B.; Turner, A.; Massonnet, F.; Olason, E.; Roberts, A.; Aksenov, Y.; Fichefet, T.; Garric, G.; Lovino, D.; Madec, G.; Rousset, C.; Melia, D.S.; Schroeder, D. (2020). The future of sea ice modeling: where do we go from here? Bull. Am. Meteorol. Soc. 101(8): E1304-E1311. https://hdl.handle.net/10.1175/BAMS-D-20-0073.1, meer Bromwich, D.H.; Werner, K.; Casati, B.; Powers, J.G.; Gorodetskaya, I.V.; Massonnet, F.; Vitale, V.; Heinrich, V.J.; Liggett, D.; Arndt, S.; Barja, B.; Bazile, E.; Carpentier, S.; Carrasco, J.F.; Choi, T.; Choi, Y.; Colwell, S.R.; Cordero, R.R.; Gervasi, M.; Haiden, T.; Hirasawa, N.; Inoue, J.; Jung, T.; Kalesse, H.; Kim, S.-J.; Lazzara, M.A.; Manning, K.W.; Norris, K.; Park, S.-J.; Reid, P.; Rigor, I.; Rowe, P.M.; Schmithusen, H.; Seifert, P.; Sun, Q.; Uttal, T.; Zannoni, M.; Zou, X. (2020). The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH). Bull. Am. Meteorol. Soc. 101(10): E1653-E1676. https://hdl.handle.net/10.1175/BAMS-D-19-0255.1, meer Caron, L.P.; Massonnet, F.; Klotzbach, P.J.; Philp, T.J.; Stroeve, J. (2020). Making seasonal outlooks of Arctic sea ice and Atlantic hurricanes valuable – Not just skillfull. Bull. Am. Meteorol. Soc. 101(1): E36-E42. https://dx.doi.org/10.1175/BAMS-D-18-0314.1, meer Eyring, V.; Bock, L.; Lauer, A.; Righi, M.; Schlund, M.; Andela, B.; Arnone, E.; Bellprat, O.; Brötz, B.; Caron, L.-P.; Carvalhais, N.; Cionni, I.; Cortesi, N.; Crezee, B.; Davin, E.L.; Davini, P.; Debeire, K.; de Mora, L.; Deser, C.; Docquier, D.; Earnshaw, P.; Ehbrecht, C.; Gier, B.K.; Gonzalez-Reviriego, N.; Goodman, P.; Hagemann, S.; Hardiman, S.; Hassler, B.; Hunter, A.; Kadow, C.; Kindermann, S.; Koirala, S.; Koldunov, N.; Lejeune, Q.; Lembo, V.; Lovato, T.; Lucarini, V.; Massonnet, F.; Müller, B.; Pandde, A.; Pérez-Zanón, N.; Phillips, A.; Predoi, V.; Russell, J.; Sellar, A.; Serva, F.; Stacke, T.; Swaminathan, R.; Torralba, V.; Vegas-Regidor, J.; von Hardenberg, J.; Weigel, K.; Zimmermann, K. (2020). Earth System Model Evaluation Tool (ESMValTool) v2.0-an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP. Geosci. Model Dev. 13(7): 3383-3438. https://hdl.handle.net/10.5194/gmd-13-3383-2020, meer Moreno-Chamarro, E.; Ortega, P.; Massonnet, F. (2020). Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6-LIM3 global ocean-sea ice model. Geosci. Model Dev. 13(10): 4773-4787. https://hdl.handle.net/10.5194/gmd-13-4773-2020, meer Notz, D.; SIMIP Community (2020). Arctic sea ice in CMIP6. Geophys. Res. Lett. 47(10): e2019GL086749. https://hdl.handle.net/10.1029/2019GL086749, meer Ponsoni, L.; Massonnet, F.; Docquier, D.; Van Achter, G.; Fichefet, T. (2020). Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations. Cryosphere 14(7): 2409-2428. https://hdl.handle.net/10.5194/tc-14-2409-2020, meer Roach, L.A.; Dörr, J.; Holmes, C.R.; Massonnet, F.; Blockley, E.W.; Notz, D.; Rackow, T.; Raphael, M.N.; O'Farrell, S.P.; Bailey, D.A.; Bitz, C.M. (2020). Antarctic sea ice area in CMIP6. Geophys. Res. Lett. 47(9): e2019GL086729. https://hdl.handle.net/10.1029/2019GL086729, meer Van Achter, G.; Ponsoni, L.; Massonnet, F.; Fichefet, T.; Legat, V. (2020). Brief communication: Arctic sea ice thickness internal variability and its changes under historical and anthropogenic forcing. Cryosphere 14(10): 3479-3486. https://dx.doi.org/10.5194/tc-14-3479-2020, meer Acosta Navarro, J.C.A.; Ortega, P.; Garcia-Serrano, J.; Guemas, V.; Tourigny, E.; Cruz-Garcia, R.; Massonnet, F.; Doblas-Reyes, F.J. (2019). December 2016: linking the lowest Arctic sea-ice extent on record with the lowest European precipitation event on record. Bull. Am. Meteorol. Soc. 100(1): S43-S48. https://dx.doi.org/10.1175/BAMS-D-18-0097.1, meer Cruz-García, R.; Guemas, V.; Chevallier, M.; Massonnet, F. (2019). An assessment of regional sea ice predictability in the Arctic ocean. Clim. Dyn. 53(1-2): 427-440. https://dx.doi.org/10.1007/s00382-018-4592-6, meer Docquier, D.; Grist, J.P.; Roberts, M.J.; Roberts, C.D.; Semmler, T.; Ponsoni, L.; Massonnet, F.; Sidorenko, D.; Sein, D.V.; Iovino, D.; Bellucci, A.; Fichefet, T. (2019). Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport. Clim. Dyn. 53(7-8): 4989-5017. https://dx.doi.org/10.1007/s00382-019-04840-y, meer Lebrun, M.; Vancoppenolle, M.; Madec, G.; Massonnet, F. (2019). Arctic sea-ice-free season projected to extend into autumn. Cryosphere 13(1): 79-96. https://dx.doi.org/10.5194/tc-13-79-2019, meer Massonnet, F. (2019). Climate models as guidance for the design of observing systems: the case of polar climate and sea ice prediction. Current Climate Change Reports 5(4): 334-344. https://hdl.handle.net/10.1007/s40641-019-00151-w, meer Massonnet, F.; Barthélemy, A.; Worou, K.; Fichefet, T.; Vancoppenolle, M.; Rousset, C.; Moreno-Chamarro, E. (2019). On the discretization of the ice thickness distribution in the NEMO3.6-LIM3 global ocean-sea ice model. Geosci. Model Dev. 12(8): 3745-3758. https://dx.doi.org/10.5194/gmd-12-3745-2019, meer Ponsoni, L.; Massonnet, F.; Fichefet, T.; Chevallier, M.; Docquier, D. (2019). On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses. Cryosphere 13(2): 521-543. https://dx.doi.org/10.5194/tc-13-521-2019, meer Goosse, H.; Kay, J.E.; Armour, K.C.; Bodas-Salcedo, A.; Chepfer, H.; Docquier, D.; Jonko, A.; Kushner, P.J.; Lecomte, O.; Massonnet, F.; Park, H.-S.; Pithan, F.; Svensson, G.; Vancoppenolle, M. (2018). Quantifying climate feedbacks in polar regions. Nature Comm. 9(1): 13 pp. https://dx.doi.org/10.1038/s41467-018-04173-0, meer Kimmritz, M.; Counillon, F.; Bitz, C.M.; Massonnet, F.; Bethke, I.; Gao, Y. (2018). Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model. Tellus, Ser. A, Dyn. meteorol. oceanogr. 70(1): 1435945. https://dx.doi.org/10.1080/16000870.2018.1435945, meer Massonnet, F.; Vancoppenolle, M.; Goosse, H.; Docquier, D.; Fichefet, T.; Blanchard-Wrigglesworth, E. (2018). Arctic sea-ice change tied to its mean state through thermodynamic processes. Nat. Clim. Chang. 8(7): 599-603. https://dx.doi.org/10.1038/s41558-018-0204-z, meer Zhang, Y.-F.; Bitz, C.M.; Anderson, J.L.; Collins, N.; Hendricks, J.; Hoar, T.; Raeder, K.; Massonnet, F. (2018). Insights on sea ice data assimilation from perfect model observing system simulation experiments. J. Clim. 31(15): 5911-5926. https://dx.doi.org/10.1175/JCLI-D-17-0904.1, meer Blanchard-Wrigglesworth, E.; Barthélemy, A.; Chevallier, M.; Cullather, R.; Fuckar, N.; Massonnet, F.; Posey, P.; Wang, W.; Zhang, J.; Ardilouze, C.; Bitz, C.M.; Vernieres, G.; Wallcraft, A.; Wang, M. (2017). Multi-model seasonal forecast of Arctic sea-ice: forecast uncertainty at pan-Arctic and regional scales. Clim. Dyn. 49(4): 1399-1410. https://dx.doi.org/10.1007/s00382-016-3388-9, meer Docquier, D.; Massonnet, F.; Barthelemy, A.; Tandon, N.F.; Lecomte, O.; Fichefet, T. (2017). Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6. Cryosphere 11(6): 2829-2846. https://dx.doi.org/10.5194/tc-11-2829-2017, meer Bellprat, O.; García-Serrano, J.; Fuckar, N.S.; Massonnet, F.; Guemas, V.; Doblas-Reyes, F.J. (2016). The role of Arctic sea ice and sea surface temperatures on the cold 2015 February over North America. Bull. Am. Meteorol. Soc. 97(12): S36-S41. https://hdl.handle.net/10.1175/BAMS-D-16-0159.1, meer Fuckar, N.S.; Guemas, V.; Johnson, N.C.; Massonnet, F.; Doblas-Reyes, F.J. (2016). Clusters of interannual sea ice variability in the northern hemisphere. Clim. Dyn. 47(5): 1527-1543. https://dx.doi.org/10.1007/s00382-015-2917-2, meer Notz, D.; Jahn, A.; Holland, M.; Hunke, E.; Massonnet, F.; Stroeve, J.; Tremblay, B.; Vancoppenolle, M. (2016). The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations. Geosci. Model Dev. 9(9): 3427-3446. https://dx.doi.org/10.5194/gmd-9-3427-2016, meer Prodhomme, C.; Batté, L.; Massonnet, F.; Davini, P.; Bellprat, O.; Guemas, V.; Doblas-Reyes, F.J. (2016). Benefits of increasing the model resolution for the seasonal forecast quality in EC-earth. J. Clim. 29(24): 9141-9162. https://dx.doi.org/10.1175/JCLI-D-16-0117.1, meer Steiner, N.; Deal, C.; Lannuzel, D.; Lavoie, D.; Massonnet, F.; Miller, L.A.; Moreau, S.; Popova, E.; Stefels, J.; Tedesco, L. (2016). What sea-ice biogeochemical modellers need from observers. Elem. Sci. Anth. 4: 84. https://dx.doi.org/10.12952/journal.elementa.000084, meer Barth, A.; Canter, M.; Van Schaeybroeck, B.; Vannitsem, S.; Massonnet, F.; Zunz, V.; Mathiot, P.; Alvera-Azcárate, A.; Beckers, J.-M. (2015). Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean. Ocean Modelling 93: 22-39. https://dx.doi.org/10.1016/j.ocemod.2015.07.011, meer Bellucci, A.; Haarsma, R.; Bellouin, N.; Booth, B.; Cagnazzo, C.; van den Hurk, B.; Keenlyside, N.; Koenigk, T.; Massonnet, F.; Materia, S.; Weiss, M. (2015). Advancements in decadal climate predictability: the role of nonoceanic drivers. Rev. Geophys. 53(2): 165-202. https://dx.doi.org/10.1002/2014RG000473, meer Lecomte, O.; Fichefet, T.; Massonnet, F.; Vancoppenolle, M (2015). Benefits from representing snow properties and related processes in coupled ocean-sea ice models. Ocean Modelling 87: 81-85. dx.doi.org/10.1016/j.ocemod.2014.11.005, meer Massonnet, F.; Guemas, V; Fuckar, S; Doblas-Reyes, J (2015). The 2014 high record of Antarctic sea ice extent. Bull. Am. Meteorol. Soc. 96(12): S163-S167. dx.doi.org/10.1175/BAMS-D-15-00093.1, meer Massonnet, F.; Fichefet, T.; Goosse, H. (2015). Prospects for improved seasonal Arctic sea ice predictions from multivariate data assimilation. Ocean Modelling 88: 16-25. dx.doi.org/10.1016/j.ocemod.2014.12.013, meer Hezel, P.J.; Fichefet, T.; Massonnet, F. (2014). Modeled Arctic sea ice evolution through 2300 in CMIP5 extended RCPs. Cryosphere 8(4): 1195-1204. dx.doi.org/10.5194/tc-8-1195-2014, meer Massonnet, F.; Goosse, H.; Fichefet, T.; Counillon, F (2014). Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter. J. Geophys. Res. Oceans(119): 4168-4184. dx.doi.org/10.1002/2013JC009705, meer Lecomte, O.; Fichefet, T.; Vancoppenolle, M.; Domine, F.; Massonnet, F.; Mathiot, P.; Morin, S.; Barriat, P.-Y. (2013). On the formulation of snow thermal conductivity in large-scale sea ice models. J. Adv. Model. Earth Syst. 5(3): 542-557. dx.doi.org/10.1002/jame.20039, meer Massonnet, F.; Mathiot, P.; Fichefet, T.; Goosse, H.; König Beatty, C.; Vancoppenolle, M.; Lavergne, T. (2013). A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980-2008 using data assimilation. Ocean Modelling 64: 67-75. dx.doi.org/10.1016/j.ocemod.2013.01.003, meer Zunz, V.; Goosse, H.; Massonnet, F. (2013). How does internal variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent? Cryosphere 7(2): 451-468. dx.doi.org/10.5194/tc-7-451-2013, meer Hezel, P.J.; Zhang, X.; Bitz, C.M.; Kelly, B.P.; Massonnet, F. (2012). Projected decline in spring snow depth on Arctic sea ice caused by progressively later autumn open ocean freeze-up this century. Geophys. Res. Lett. 39(17). dx.doi.org/10.1029/2012GL052794, meer Massonnet, F.; Fichefet, T.; Goosse, H.; Bitz, C.M.; Philippon-Berthier, G.; Holland, M.M.; Barriat, P.-Y. (2012). Constraining projections of summer Arctic sea ice. Cryosphere 6(6): 1383-1394. dx.doi.org/10.5194/tc-6-1383-2012, meer Mathiot, P.; König Beatty, C.; Fichefet, T.; Goosse, H.; Massonnet, F.; Vancoppenolle, M. (2012). Better constraints on the sea-ice state using global sea-ice data assimilation. Geosci. Model Dev. 5(6): 1501-1515. dx.doi.org/10.5194/gmd-5-1501-2012, meer Massonnet, F.; Fichefet, T.; Goosse, H.; Vancoppenolle, M.; Mathiot, P.; König Beatty, C. (2011). On the influence of model physics on simulations of Arctic and Antarctic sea ice. Cryosphere 5(3): 687-699. dx.doi.org/10.5194/tc-5-687-2011, meer
Peer reviewed publicatie [show]
Delhaye, S.; Fichefet, T.; Massonnet, F.; Docquier, D.; Msadek, R.; Chripko, S.; Roberts, C.; Keeley, S.; Senan, R. (2022). Summertime changes in climate extremes over the peripheral Arctic regions after a sudden sea ice retreat. Weather and Climate Dynamics 3(2): 555-573. https://dx.doi.org/10.5194/wcd-3-555-2022, meer
Abstracts (8) [show]
Allende, S.; Treguier, A.M.; Lique, C.; de Boyer Montégut, C.; Massonnet, F.; Fichefet, T. (2024). Impact of ocean vertical mixing parametrization on sea ice properties using NEMO-SI3 model in the Arctic Ocean, in: EGU General Assembly 2024. Vienna, Austria & Online, 14-19 April 2024. pp. EGU24-3811. https://dx.doi.org/10.5194/egusphere-egu24-3811, meer DeRepentigny, P.; Massonnet, F.; Bilbao, R.; Materia, S. (2024). How unusual is the recent decade-long pause in Arctic summer sea ice retreat?, in: EGU General Assembly 2024. Vienna, Austria & Online, 14-19 April 2024. pp. EGU24-12969. https://dx.doi.org/10.5194/egusphere-egu24-12969, meer Goosse, H.; Contador, S.A.; Bitz, C.M.; Blanchard-Wrigglesworth, E.; Eayrs, C.; Fichefet, T.; Himmich, K.; Huot, P.-V.; Klein, F.; Marchi, S.; Massonnet, F.; Mezzina, B.; Pelletier, C.; Roach, L.; Vancoppenolle, M.; van Lipzig, N.P.M. (2023). Importance of atmospheric feedbacks in simulating the seasonal cycle of the Antarctic sea ice and its response to perturbations, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-1531. https://dx.doi.org/10.5194/egusphere-egu23-1531, meer Haumann, F.A.; Massonnet, F.; Holland, P.R.; Bushuk, M.; Maksym, T.; Hobbs, W.; Meredith, M.P.; Cerovecki, I.; Lavergne, T.; Meier, W.N.; Raphael, M.; Stammerjohn, S. (2023). An abrupt transition in the Antarctic sea ice-ocean system, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-8749. https://dx.doi.org/10.5194/egusphere-egu23-8749, meer Sauer, J.; Ragone, F.; Massonnet, F.; Demaeyer, J.; Zappa, G. (2023). Drivers and predictability of extreme summer Arctic sea ice reduction with rare event simulation methods, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-7813. https://dx.doi.org/10.5194/egusphere-egu23-7813, meer Sticker, A.; Massonnet, F.; Fichefet, T. (2023). Arctic rapid sea ice loss events in CMIP6 simulations, in: EGU General Assembly 2023. Vienna, Austria & Online, 23–28 April 2023. pp. EGU23-5055. https://dx.doi.org/10.5194/egusphere-egu23-5055, meer Delhaye, S.; Fichefet, T.; Massonnet, F.; Docquier, D. (2019). Impact of an abrupt Arctic sea ice reduction on high and mid-latitude climate, in: 51^st International Liège Colloquium on Ocean Dynamics. Polar Ocean facing changes. , meer Sterlin, J.; Fichefet, T.; Massonnet, F. (2019). The effects of atmospheric uncertainties on two melt pond schemes in global climate models, in: 51^st International Liège Colloquium on Ocean Dynamics. Polar Ocean facing changes. , meer
Rapporten (3) [show]
Ponsoni, L.; Gupta, M.; Sterlin, J.; Massonnet, F.; Fichefet, T.; Hinrichs, C.; Semmler, T.; Arduini, G.; Ridley, J.; Nummelin, A.; Msadek, R.; Terray, L.; Salas y Melia, D.; Svensson, G.; Blockley, E. (2021). Final report on model developments and evaluation in coupled mode. D 2.5. Zenodo: [s.l.]. ii, 74 pp. https://dx.doi.org/10.5281/zenodo.4916934, meer Køltzow, M.; Azouz, N.; Batté, L.; Bazile, E.; Napoly, A.; Välisuo, I.; Navarro, J.C.A.; Ortega, P.; Moreno-Chamarro, E.; Grote, R.; Day, J.; Semmler, T.; Massonnet, F.; Ponsoni, L. (2019). Report on individual impacts of improved process-representation, treatment of snow, ensemble generation and increased resolution on the weather and climate prediction performance. D 5.3. Zenodo: [s.l.]. 102 pp. https://dx.doi.org/10.5281/zenodo.3567856, meer Chevallier, M.; Massonnet, F.; Ponsoni, L.; Sandu, I. (2018). Initial assessment of the added value of observations in existing long time-series datasets – guidance for dedicated observing system experiments. D 4.1. Zenodo: [s.l.]. 44 pp. https://dx.doi.org/10.5281/zenodo.3567836, meer
Overige publicatie [show]
Gupta, M.; Ponsoni, L.; Sterlin, J.; Massonnet, F.; Fichefet, T. (2023). Brief Communication: On the mid-summer melt pond fraction–September Arctic sea ice extent relationship in the EC-Earth3 climate model. EGUsphere (preprints) 26 July: 1-14. https://dx.doi.org/10.5194/egusphere-2023-1560, meer