Scientific contributions

Peer-reviewed articles

2023

76. Ghisbain, G., Thiery, W., Massonnet, F., Erazo, D., Rasmont, P., Michez, D., & Dellicour, S. (2023). Projected decline in European bumblebee populations in the twenty-first century. Nature, 1–5. https://doi.org/10.1038/s41586-023-06471-0

75. 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, 102227. https://doi.org/10.1016/j.ocemod.2023.102227

74. 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., Li, C., Meier, W. N., Merryfield, W. J., Moreno-Chamarro, E., Morioka, Y., Li, X., … Yuan, X. (2023). SIPN South: Six years of coordinated seasonal Antarctic sea ice predictions. Frontiers in Marine Science, 10. https://www.frontiersin.org/articles/10.3389/fmars.2023.1148899

73. 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. The Cryosphere, 17(5), 1935–1965. https://doi.org/10.5194/tc-17-1935-2023

72. Jung, T., Massonnet, F., & Sandu, I. (2023). Editorial: Special collection – “Impact of polar observations on predictive skill.” Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.4458

71. 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. Geophysical Research Letters, 50(6), e2022GL102531. https://doi.org/10.1029/2022GL102531

70. Goosse, H., Allende Contador, S., 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 ice processes and feedbacks with the ocean and the atmosphere. The Cryosphere, 17(1), 407–425. https://doi.org/10.5194/tc-17-407-2023

2022

69. 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., … Jung, T. (2022). Improving Arctic Weather and Seasonal Climate Prediction: Recommendations for Future Forecast Systems Evolution from the European Project APPLICATE. Bulletin of the American Meteorological Society, 103(10), E2203–E2213. https://doi.org/10.1175/BAMS-D-22-0083.1

68. Yang, C., Cagnazzo, C., Artale, V., Nardelli, B. B., Buontempo, C., Busatto, J., Caporaso, L., Cesarini, C., Cionni, I., Coll, J., Crezee, B., Cristofanelli, P., Toma, V. de, Essa, Y. H., Eyring, V., Fierli, F., Grant, L., Hassler, B., Hirschi, M., Massonnet, F., ...… Santoleri, R. (2022). Independent Quality Assessment of Essential Climate Variables: Lessons Learned from the Copernicus Climate Change Service. Bulletin of the American Meteorological Society, 103(9), E2032–E2049. https://doi.org/10.1175/BAMS-D-21-0109.1

67. 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. Climate Dynamics. https://doi.org/10.1007/s00382-022-06260-x

66. 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., … 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, COSMO5.0 and CLM4.5. Geoscientific Model Development, 15(2), 553–594. https://doi.org/10.5194/gmd-15-553-2022

65. 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://doi.org/10.5194/wcd-3-555-2022

64. Döscher, R., Acosta, M., Alessandri, A., Anthoni, P., Arsouze, T., Bergman, T., Bernardello, R., Boussetta, S., Caron, L.-P., Carver, G., Castrillo, M., Catalano, F., Cvijanovic, I., Davini, P., Dekker, E., Doblas-Reyes, F. J., Docquier, D., Echevarria, P., Fladrich, U., …; Massonnet, F., … Zhang, Q. (2022). The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geoscientific Model Development, 15(7), 2973–3020. https://doi.org/10.5194/gmd-15-2973-2022

2021

63. Sandu, I., Massonnet, F., 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., … Randriamampianina, R. (2021). The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the APPLICATE and YOPP projects. Quarterly Journal of the Royal Meteorological Society, 147(741), 3863–3877. https://doi.org/10.1002/qj.4182

62. 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, 101872. https://doi.org/10.1016/j.ocemod.2021.101872

61. 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. Geoscientific Model Development, 14(10), 6331–6354. https://doi.org/10.5194/gmd-14-6331-2021

60. Saurral, R. I., Merryfield, W. J., Tolstykh, M. A., Lee, W.-S., Doblas-Reyes, F. J., García-Serrano, J., Massonnet, F., Meehl, G. A., & Teng, H. (2021). A Data Set for Intercomparing the Transient Behavior of Dynamical Model-Based Subseasonal to Decadal Climate Predictions. Journal of Advances in Modeling Earth Systems, 13(9), e2021MS002570. https://doi.org/10.1029/2021MS002570

59. Steele, M., Eicken, H., Bhatt, U., Bieniek, 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. (2021). Moving Sea Ice Prediction Forward Via Community Intercomparison. Bulletin of the American Meteorological Society, 1(aop), 1–7. https://doi.org/10.1175/BAMS-D-21-0159.1

58. 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. Geoscientific Model Development, 14(7), 4283–4305. https://doi.org/10.5194/gmd-14-4283-2021

57. Dellicour, S., Linard, C., Van Goethem, N., Da Re, D., Artois, J., Bihin, J., Schaus, P., Massonnet, F., Van Oyen, H., Vanwambeke, S. O., Speybroeck, N., & Gilbert, M. (2021). Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case. International Journal of Health Geographics, 20(1), 29. https://doi.org/10.1186/s12942-021-00281-1

56. 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. Journal of Climate, 34(12), 4817–4834. https://doi.org/10.1175/JCLI-D-19-0925.1

55. Keen, A., Blockley, E., Bailey, D. A., Boldingh Debernard, J., 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. The Cryosphere, 15(2), 951–982. https://doi.org/10.5194/tc-15-951-2021

54. 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. Climate Dynamics. https://doi.org/10.1007/s00382-020-05560-4

53. 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. The Cryosphere, 15(1), 31–47. https://doi.org/10.5194/tc-15-31-2021

2020

52. 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. The Cryosphere, 14(10), 3479–3486. https://doi.org/10.5194/tc-14-3479-2020

51. 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. The Cryosphere, 14(7), 2409–2428. https://doi.org/10.5194/tc-14-2409-2020

50. Moreno-Chamarro, E., P. Ortega, and F. Massonnet. “Impact of the Ice Thickness Distribution Discretization on the Sea Ice Concentration Variability in the NEMO3.6–LIM3 Global Ocean–Sea Ice Model.” Geoscientific Model Development 13, no. 10 (2020): 4773–87. https://doi.org/10.5194/gmd-13-4773-2020.

49. Abrahamsen, E. P., Barreira, S., Bitz, C. M., Butler, A., Clem, K. R., Colwell, S., Coy, L., Laat, J. de, Plessis, M. D. du, Fogt, R. L., Fricker, H. A., Fyfe, J., Gardner, A. S., Gille, S. T., Gorte, T., Gregor, L., Hobbs, W., Johnson, B., Keenan, E., … Wang, L. (2020). Antarctica and the Southern Ocean. Bulletin of the American Meteorological Society, 101(8), S287–S320. https://doi.org/10.1175/BAMS-D-20-0090.1

48. 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., Mora, L. de, Deser, C., … 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. Geoscientific Model Development, 13(7), 3383–3438. https://doi.org/10.5194/gmd-13-3383-2020

47. 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., Ólason, E., Roberts, A., Aksenov, Y., Fichefet, T., Garric, G., … Schroeder, D. (2020). The Future of Sea Ice Modeling: Where Do We Go from Here? Bulletin of the American Meteorological Society, 101(8), E1304–E1311. https://doi.org/10.1175/BAMS-D-20-0073.1

46. Bromwich, D. H., K. Werner, B. Casati, J. G. Powers, I. V. Gorodetskaya, F. Massonnet, V. Vitale, et al. “The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH).” Bulletin of the American Meteorological Society. Accessed July 1, 2020. https://doi.org/10.1175/BAMS-D-19-0255.1.

45. Notz, Dirk, Jakob Dörr, David A. Bailey, Ed Blockley, Mitchell Bushuk, Jens Boldingh Debernard, Evelien Dekker, …, Massonnet, F., …. “Arctic Sea Ice in CMIP6.” Geophysical Research Letters (2020): e2019GL086749. https://doi.org/10.1029/2019GL086749.

44. Roach, Lettie A., J. Dörr, C. R. Holmes, F. Massonnet, E. W. Blockley, D. Notz, T. Rackow, et al. “Antarctic Sea Ice Area in CMIP6.” Geophysical Research Letters (2020): e2019GL086729. https://doi.org/10.1029/2019GL086729.

43. Caron, L. –P., Massonnet, F., P. J. Klotzbach, T. J. Philp, and J. Stroeve. “Making Seasonal Outlooks of Arctic Sea Ice and Atlantic Hurricanes Valuable—Not Just Skillful.” Bulletin of the American Meteorological Society 101, no. 1 (January 2020): E36–42. https://doi.org/10.1175/BAMS-D-18-0314.1.

42. Massonnet, F., Martin Ménégoz, Mario Acosta, Xavier Yepes-Arbós, Eleftheria Exarchou, and Francisco J. Doblas-Reyes. “Replicability of the EC-Earth3 Earth System Model under a Change in Computing Environment.” Geoscientific Model Development 13, no. 3 (March 12, 2020): 1165–78. https://doi.org/10.5194/gmd-13-1165-2020.

41. Acosta Navarro, J. C., P. Ortega, L. Batté, D. Smith, P. A. Bretonnière, V. Guemas, F. Massonnet, et al. “Link Between Autumnal Arctic Sea Ice and Northern Hemisphere Winter Forecast Skill.” Geophysical Research Letters 47, no. 5 (March 16, 2020). https://doi.org/10.1029/2019GL086753.

2019

40. 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, https://doi.org/10.1007/s40641-019-00151-w.

39. 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. Geoscientific Model Development, 12(8), 3745–3758. https://doi.org/10.5194/gmd-12-3745-2019

38. Docquier, D., Grist, J. P., Roberts, M. J., Roberts, C. D., Semmler, T., Ponsoni, L., Massonnet, F., Sidorenko, D., Sein, D., Iovino, D. Bellucci, A., Fichefet, T. (2019). Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport. Climate Dynamics. https://doi.org/10.1007/s00382-019-04840-y

37. 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. The Cryosphere, 13(2), 521–543. https://doi.org/10.5194/tc-13-521-2019

36. Lebrun, M., Vancoppenolle, M., Madec, G., & Massonnet, F. (2019). Arctic sea-ice-free season projected to extend into autumn. The Cryosphere, 13(1), 79–96. https://doi.org/10.5194/tc-13-79-2019

35. Cruz-García, R., Guemas, V., Chevallier, M., & Massonnet, F. (2019). An assessment of regional sea ice predictability in the Arctic ocean. Climate Dynamics. https://doi.org/10.1007/s00382-018-4592-6

2018

34. Acosta Navarro, J., Ortega, P., García-Serrano, J., Guemas, V., Tourigny, E., Cruz-García, R., Massonnet, F., Doblas-Reyes, F. December 2016: Linking the lowest Arctic sea-ice extent on record with the lowest European precipitation event on record. In: Bulletin of the American Meteorological Society: Explaining Extreme Events from a Climate Perspective, Vol. 1, no.1, p. 1 (2018). doi:10.1175/BAMS-D-18-0097.1.

33. 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. Nature Climate Change, 8(7), 599–603. https://doi.org/10.1038/s41558-018-0204-z

32. Uotila, Petteri, Goosse, Hugues, Haines, Keith, Chevallier, Matthieu, Barthélemy, Antoine , Bricaud, Clément, Carton, Jim, Fučkar, Neven, Garric, Gilles, Iovino, Doroteaciro, Kauker, Frank, Korhonen, Meri, Lien, Vidar S., Marnela, Marika, Massonnet, François , Mignac, Davi, Peterson, K. Andrew, Sadikni, Remon, Shi, Li, Tietsche, Steffen, Toyoda, Takahiro, Xie, Jiping, & Zhang, Zhaoru (2018). An assessment of ten ocean reanalyses in the polar regions. Climate Dynamics, doi :10.1007/s00382-018-4242-z (2018)

31. Goosse, H, J. E. Kay, K. C. Armour, A. Bodas-Salcedo, H. Chepfer, D. Docquier, A. Jonko, P. J. Kushner, O. Lecomte, F. Massonnet, H. –S. Park, F. Pithan, G. Svensson, M. Vancoppenolle, Beyond radiative feedbacks: a process-oriented perspective on climate feedbacks in polar regions. Nature Communications 9, doi :10.1038/s41467-018-04173-0

30. Zhang, Y., Bitz, C. M., Massonnet, François , Anderson, J., Collins, N., Hendricks, J., Hoar, T., & Raeder, K. (2018). Insights on Sea Ice Data Assimilation from Perfect Model Observing System
Simulation Experiments. Journal of Climate, https://doi.org/10.1175/JCLI-D-17-0904.1 (2018)

29. Kimmritz, M., Counillon, F., Bitz, C., Massonnet, F., Bethke, I., Gao, Y. Optimising assimilation of sea ice concentration in an Earth system model with a multicategory sea ice model. Tellus A 70 (1) 1435945 (2018)

28. Manubens, N., Caron, L. P., Hunter, A., Bellprat, O., Exarchou, E., Fučkar, N. S., Garcia-Serrano, J., Massonnet, F., Ménégoz, M., Sicardi, V., Batté, L., Prodhomme, C., Torralba, V., Cortesi, N., Mula-Valls, O., Serradell, K., Guemas, V., Doblas-Reyes, F. J. s2dverification: an R package for forecast verification. Environmental Modeling and Software 103 29-42 (2018)

2017

27. Docquier, D., Massonnet, F., Barthélemy, A., Tandon, N. F., Lecomte, O., and Fichefet, T.: Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6, The Cryosphere, 11, 2829-2846, https://doi.org/10.5194/tc-11-2829-2017, 2017.

26. Bellprat, O., Massonnet, F., Siegert, S., Prodhomme, C., Macias-Gómez, D., Guemas, V., Doblas-Reyes, F. J. Uncertainty propagation in observational references to climate model scales. Remote Sens. Env. 203, 101-108 (2017)

2016

25. Fučkar, N., Massonnet, F., Guemas, V., García-Serrano, J., Bellprat, O., Doblas-Reyes, F. J. and Acosta, M. Record low Northern Hemisphere sea ice extent in March 2015 in Explaining Extreme Events of 2015 from a Climate Perspective. Bull. Amer. Meteor. Soc., doi:10.1175/BAMS-D-16-0153.1

24. Bellprat, O., Massonnet, F., García-Serrano, J., Fučkar, N., Guemas, V. and Doblas-Reyes, F. J. The role of Arctic sea ice and sea surface temperatures on the cold 2015 February over North America, in Explaining Extreme Events of 2015 from a Climate Perspective, Bulletin of American Meteorological Society, doi:10.1175/BAMS-D-16-0159.1 (2016)

23. Massonnet, F., Bellprat, O., Guemas, V. & Doblas-Reyes, F. J. Using climate models to estimate the quality of global observational data sets. Science 354 452-455, doi:10.1126/science.aaf6369 (2016)

22. Prodhomme, C., Batté, L., Massonnet, F., Davini, P., Bellprat, O., Guemas, V. and Doblas-Reyes, F. J. Benefits of increasing the model resolution for the seasonal forecast quality in EC-Earth. J. Clim., doi: 10.1175/JCLI-D-16-0117.1 (2016)

21. Blanchard-Wrigglesworth, E., A. Barthélemy, M. Chevallier, R. Cullather, N. Fučkar, F. Massonnet, P. Posey, W. Wang, J. Zhang, C. Ardilouze, C. M. Bitz, G. Vernieres, A. Wallcraft, and M. Wang (2016). Multi-model seasonal forecast of Arctic sea-ice: forecast uncertainty at pan-Arctic and regional scales. Climate Dynamics, doi:10.1007/s00382-016-3388-9

20. Notz, D., A. Jahn, M. Holland, E. Hunke, F. Massonnet, J. Stroeve, B. Tremblay, M. Vancoppenolle (2016), The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations, Geoscientific Model Development 9 3427-3446, doi:10.5194/gmd-9-3427-2016 .

2015

19. N. Steiner, C. Deal, D. Lannuzel, D. Lavoie, F. Massonnet, L. Miller, S. Moreau, E. Popova, J. Stefels, L. Tedesco, What sea-ice biogeochemical modellers need from observationalists. Elementa Science of the Anthropocene 4: 000084. doi: 10.12952/journal.elementa.000084

18. N. S. Fučkar, V. Guemas, N. C. Johnson, F. Massonnet and F.J. Doblas-Reyes, 2015. Clusters of interannual sea ice variability in the northern hemisphere. Climate Dynamics, 45, 1-17, doi:10.1007/s00382-015-2917-2.

17. H. Goessling, T. Jung, S. Klebe J. Baeseman, P. Bauer, P. Chen, M. Chevallier, R. Dole, N. Gordon, P. Ruti, A. Bradley, D. Bromwich, B. Casati, D. Chechin, J. Day, F. Massonnet, B. Mills, I. Renfrew, G. Smith, R. Tatusko: Paving the way for the year of Polar Prediction, http://dx.doi.org/10.1175/BAMS-D-15-00270.1

16. F. Massonnet, V. Guemas, N. Fuckar and F. J. Doblas-Reyes (2015). The 2014 high record of Antarctic sea ice extent. In Explaining Extreme Events of 2014 from a Climate Perspective, Bulletin of American Meteorological Society. Bulletin of American Meteorological Society, 96, S163-S167, doi:10.1175/BAMS-D-15-00093.1.

15. F. Massonnet, 2015, Communicating climate complexity, Physics Today 69, 9, 8,doi:10.1063/PT.3.2894

14. J. Stroeve, E. Blanchard-Wrigglesworth, V. Guemas, S. Howell, F. Massonnet, S. Tietsche, Improving predictions of Arctic sea ice extent, Eos, 96, doi:10.1029/2015EO031431.

13. A. Bellucci, R. Haarsma, N. Bellouin, B. Booth, C. Cagnazzo, B. van den Hurk, N. Keenlyside, T. Koenigk, F. Massonnet, S. Materia, M. Weiss, 2015, Advancements in decadal climate predictability: The role of nonoceanic drivers. Review of Geophysics 53, 165-202 doi:10.1002/2014RG000473

2014

12. A. Barth , M. Canter, B. Van Schaeybroeck, S. Vannitsem, F. Massonnet, V. Zunz, P. Mathiot, A. Alvera-Azcárate, J.-M. Beckers, Assimilation of sea surface temperature, sea ice concentration and sea ice drift in a model of the Southern Ocean. Ocean Modelling 93, 22-39, doi :10.1016/j.ocemod.2015.07.011

11. F. Massonnet, H. Goosse, T. Fichefet, 2014, Prospects for better seasonal Arctic sea ice predictions from multivariate initialization, Ocean Modelling 88 16-25, doi:10.1016/j.ocemod.2014.12.013

10. O. Lecomte, T. Fichefet, F. Massonnet, M. Vancoppenolle (2014). Benefits from representing snow properties and related processes in coupled ocean - sea ice models, Ocean Modelling, doi:10.1016/j.ocemod.2014.11.005

9. P. J. Hezel, T. Fichefet, F. Massonnet, 2014, Modeled Arctic sea ice evolution through 2300 in CMIP5 extended RCPs, 8 1195-1204, doi:10.5194/tc-8-1195-2014.

8. F. Massonnet, H. Goosse, T. Fichefet, F. Counillon, 2014 Calibration of sea ice dynamic parameters in an ocean-sea ice model using an ensemble Kalman filter, Journal of Geophysical Research, 119, doi:10.1002/2013JC009705. PDF available upon request.

2013

7. O. Lecomte, T. Fichefet, M. Vancoppenolle, F. Domine, F. Massonnet, P. Mathiot, S. Morin, P. -Y. Barriat, 2013, On the formulation of snow thermal conductivity in large-scale sea ice models, Journal of Advances in Modeling Earth Systems, 5, doi:10.1002/jame.20039

6. F. Massonnet, P. Mathiot, T. Fichefet, H. Goosse, C. König Beatty, M. Vancoppenolle, T. Lavergne, 2013, A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980-2008 using data assimilation, Ocean Modelling, 64 67-75, doi:10.1016/j.ocemod.2013.01.003

5. V. Zunz, H. Goosse and F. Massonnet, 2013, How does internal variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent?, The Cryosphere, 7 451-468. PDF

2012

4. P. Mathiot, C. König Beatty, T. Fichefet, H. Goosse, F. Massonnet, M. Vancoppenolle, 2012, Better constraints on the sea-ice state using global sea-ice data assimilation, Geosci. Model Dev., 5 1501-1515. PDF.

3. F. Massonnet, T. Fichefet, H. Goosse, C. M. Bitz, G. Philippon-Berthier, M. M. Holland, P. -Y. Barriat, 2012, Constraining projections of summer Arctic sea ice, The Cryosphere, 6 1383-1394. PDF

2. P. J. Hezel, X. Zhang, C. M. Bitz, B. P. Kelly and F. Massonnet, 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, L17505, doi:10.1029/2012GL052794

2011

1. F. Massonnet, T. Fichefet, H. Goosse, M. Vancoppenolle, P. Mathiot, and C. König Beatty, 2011, On the influence of model physics on simulations of Arctic and Antarctic sea ice, The Cryosphere, 5 687-699. PDF

Chapters of book

Chevallier, M., Massonnet, F., Goessling, H., Guémas, V., & Jung, T. (2019). The Role of Sea Ice in Sub-seasonal Predictability. In Sub-Seasonal to Seasonal Prediction (pp. 201–221). Elsevier. https://doi.org/10.1016/b978-0-12-811714-9.00010-3

M. Collins, R. Knutti, et al. Chapter 12 : Long-term Climate Change: Projections, Commitments and Irreversibility. In: Climate Change 2013: The Physical Science Basis. Contribution of Working group 1 to the Fifth Assessment Report of the International Panel on Climate Change (IPCC). Contributing author.

Referee for

Nature Communications, Nature Climate Change, Journal of Climate, Geophys. Res. Lett., Journal of Geophys. Res., Journal of Physical Oceanography, Journal of Oceanography, The Cryosphere, Philosophical Transactions of the Royal Society.

Oral communications (selection)

Making advanced predictions in the Arctic and beyond: Developments and results of the APPLICATE project (AGU Fall meeting, December 2020 - remotely). Poster.
Challenges in the evaluation of large-scale sea ice models (Sea Ice in the Earth System: a multidisciplinary perspective, Brest, June 2019). Slides.
Arctic sea ice predictions and how to evaluate them (PARAMOUR seminar series, UCLouvain, February 2019). Slides.
How to enjoy writing your next scientific paper? (APPLICATE Early career event, ECMWF, Reading, January 2019) Slides.
Challenges in climate model evaluation (APPLICATE General Assembly, ECMWF, Reading, January 2012). Slides.
Future of Earth System Models: Polar Climates (Caltech, Pasadena, November 2018). Slides.
Arctic sea ice predictions from days to decades: are we there yet? (Keynote presentation at Arctic Frontiers meeting, Tromso, January 2017). Slides with transcript.
The all-time high record of Antarctic sea ice extent. (Polar Predictability meeting, Reading; PREDANTAR meeting, UCL). Slides.
High-resolution in seasonal climate prediction (High-latitude dynamics workshop, Rosendal, Norway; IUGG, Prague, 2015). Slides.
2014, year of extremes? (Seminar at the IC3 and UCL, 2015). Slides.
Data assimilation in sea ice modeling (Seminar in the LEGI/LGGE teams, Grenoble, July 2014). Slides.
Future of the Louvain-la-Neuve sea ice model (NEMO Users meeting, Grenoble, July 2014). Slides.
Data assimilation with sea ice models (SIPN Workshop, NCAR, Boulder, April 2014). Slides. Video.
Constraining projections of summer Arctic sea ice (IGS Symposium, Hobart, March 2014). Slides.
Overview of current and future developments with LIM (EC-Earth meeting, Reading, February 2014). Slides.
Modelling recent and future sea ice changes (Belgium National Committee for Antarctic Research, Brussels, December 2013). Slides.
Calibration of sea ice dynamic parameters (Scientific visit at IC3, Barcelona, December 2013). Slides.
Modeling recent and future sea ice changes - An assessment of COMBINE/CMIP5 results (COMBINE Final General Assembly, Wageningen, October 2013). Slides.
Ensemble Kalman filter in sea ice modeling. (IICWG Workshop, Bremen, May 2013). Slides.
Climate change and computational compromises (CÉCI annual scientific meeting, Namur, April 2013). Slides.
Constraining projections of summer Arctic sea ice (EGU General Assembly, Vienna, April 2013). Slides.
Changes in Southern Ocean sea ice thickness and volume reconstructed with data assimilation (solicited talk, EGU General Assembly, Vienna, April 2013). Slides.
Ensemble sea ice data assimilation with NEMO-LIM (EGU General Assembly, Vienna, April 2013). Poster.
21st century changes in the Arctic sea ice cover: what can we learn from CMIP5 models? (3rd International Conference on Earth System Modelling, Hamburg, September 2012). Slides.
Constraining projections of summer Arctic sea ice (Climate Change in High Latitudes, Bergen, September 2012). Poster.
Climate projections of Arctic sea ice: what can we learn from global models? (MeteoClim, Liège, June 2012). Slides.
The recent decadal variability of the sea ice cover as viewed from a numerical model (UNITER, Brussels, December 2011). Slides.
Sea ice modelling with LIM (CLIC meeting, Boulder, October 2011). Slides.
A data assimilation approach for reconstructing sea ice volume in the Southern Hemisphere (WCRP Open Science Conference, Denver, October 2011; Harmony on Ice meeting, Paris, November 2011; 3rd International Conference on Earth System Modelling, Hamburg, September 2012). WCRP Outstanding Poster presentation. Slides.
What is the importance of sea ice physics in global simulations at decadal time scales? (ResClim Summer School, UNIS, June 2011; WCRP Open Science Conference, Denver, October 2011). UNIS' best Poster award.
Global sea-ice data assimilation in NEMO-LIM: towards systematic biases reduction in sea-ice concentration and thickness (COMBINE General Assembly, MetOffice, May 2011). Slides.
Importance of physics for global hindcast simulations of sea ice with NEMO-LIM (EC-Earth meeting, ECMWF, Jan. 2011 ; EGU General Assembly, Vienna, April 2011). Slides. Updated Slides.
Seminar series on Sea Ice, TECLIM Seminar (UCL, November 2010). Slides.
Importance of physics, resolution and forcing in hindcast simulations of Arctic and Antarctic sea ice variability and trends (WCRP Seasonal to Multi-decadal Predictability of Polar Climate, Bergen, October 2010). Slides.
Comparative study of sea ice response from NEMO-LIM3 to two atmospheric forcings (EGU General Assembly, Vienna, May 2010; IPY Belgian Symposium, Brussels, May 2010; EC-Earth meeting, Barcelona, June 2010). Poster. Slides.
Floquet Instabilities on Rossby Waves (APMA935, Simon Fraser University, 2008; PHY2151, UCL, March 2010). Slides.
PhD Proposal (EC-Earth meeting, Reading, Dec. 2009). Slides
Review of assimilation techniques (ASTR, Dec. 2009). Slides

Doctoral thesis

Evaluation and improvement of climate simulations of sea ice (graduation: 25th of April, 2014)

Members of the jury: T. Fichefet (supervisor), H. Goosse (supervisor), M. Crucifix, V. Legat, M. Vancoppenolle, L. Bertino, D. Notz, M. -L. De Keersmaecker (chair)

Private defense (28th February 2014). Slides.

Public defense: Slides.

Other publications & outreach

L. Newman, L. Talley, M. Mazloff, B. Galton-Fenzi, S. Ackley, P. Heimbach, F. Massonnet, J. Shi, M. Sparrow. Southern Ocean community comment on the Year of Polar Prediction Implementation Plan. https://zenodo.org/record/27261?ln=en#.Vch4OvntlBd
A. Bradley, F. Massonnet, J. Baeseman. CliC Contributions for the Year of Polar Prediction (YOPP) http://www.climate-cryosphere.org/media-gallery/1521-clic4yopp
F. Massonnet, Extremes of 2014 in Review, Guest Contribution to Ed Hawkin’s Climate Lab Book blog. http://www.climate-lab-book.ac.uk/2015/extremes-2014-in-review/
F. Massonnet. Prévoir le climat, une question de société (seminar to high school students of the Lycée Berlaymont). PDF.
F. Massonnet, A. Jahn, Observational needs for sea ice models, Short note, 2012. PDF.
F. Massonnet, T. Fichefet, H. Goosse, Communiqué de presse, 2011. PDF. (published in Le Soir, on RTL-TVI and Twizz Radio).
F. Massonnet, T. Fichefet, H. Goosse, P. Mathiot, C. König Beatty, M. Vancoppenolle, Comparative study of sea ice response from NEMO-LIM3 to two atmospheric forcings, in Proceedings of the IPY Belgian Symposium, 100 pp., 2010. PDF.