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Dominant role of early winter Barents-Kara sea ice extent anomalies in subsequent atmospheric circulation changes in CMIP6 models. <i>Clim. Dyn. Online First</i>: 24. <a href=\"https://dx.doi.org/10.1007/s00382-023-06904-6\" target=\"_blank\">https://dx.doi.org/10.1007/s00382-023-06904-6</a>","AutID":555529,"MonDate":null,"AnaDate":2024,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":382934,"RR":"<b>Blanchard-Wrigglesworth, E.; Bushuk, M.; Massonnet, F.; Hamilton, L.C.; Bitz, C.M.; Meier, W.N.; Bhatt, U.S.</b> (2023). Forecast skill of the Arctic sea ice outlook 2008-2022. <i>Geophys. Res. Lett. 50(6)</i>: e2022GL102531. <a href=\"https://dx.doi.org/10.1029/2022GL102531\" target=\"_blank\">https://dx.doi.org/10.1029/2022GL102531</a>","AutID":335918,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":363512,"RR":"<b>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.</b> (2023). Modulation of the seasonal cycle of the Antarctic sea ice extent by sea iceprocesses and feedbacks with the ocean and the atmosphere. <i>Cryosphere 17(1)</i>: 407-425. <a href=\"https://dx.doi.org/10.5194/tc-17-407-2023\" target=\"_blank\">https://dx.doi.org/10.5194/tc-17-407-2023</a>","AutID":331749,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":366982,"RR":"<b>Lin, X.; Massonnet, F.; Fichefet, T.; Vancoppenolle, M.</b> (2023). Impact of atmospheric forcing uncertainties on Arctic and Antarctic sea ice simulations in CMIP6 OMIP models. <i>Cryosphere 17(5)</i>: 1935-1965. <a href=\"https://dx.doi.org/10.5194/tc-17-1935-2023\" target=\"_blank\">https://dx.doi.org/10.5194/tc-17-1935-2023</a>","AutID":331749,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":366980,"RR":"<b>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.</b> (2023). SIPN South: six years of coordinated seasonal Antarctic sea ice predictions. <i>Front. Mar. Sci. 10</i>: 1148899. <a href=\"https://dx.doi.org/10.3389/fmars.2023.1148899\" target=\"_blank\">https://dx.doi.org/10.3389/fmars.2023.1148899</a>","AutID":539067,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":366975,"RR":"<b>Sterlin, J.; Tsamados, M.; Fichefet, T.; Massonnet, F.; Barbic, G.</b> (2023). Effects of sea ice form drag on the polar oceans in the NEMO-LIM3 global ocean–sea ice model. <i>Ocean Modelling 184</i>: 102227. <a href=\"https://dx.doi.org/10.1016/j.ocemod.2023.102227\" target=\"_blank\">https://dx.doi.org/10.1016/j.ocemod.2023.102227</a>","AutID":332452,"MonDate":null,"AnaDate":2023,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":352513,"RR":"<b>Nie, Y.; Uotila, P.; Cheng, B.; Massonnet, F.; Kimura, N.; Cipollone, A.; Lv, X.</b> (2022). Southern Ocean sea ice concentration budgets of five ocean-sea ice reanalyses. <i>Clim. Dyn. 59</i>: 3265-3285. <a href=\"https://dx.doi.org/10.1007/s00382-022-06260-x\" target=\"_blank\">https://dx.doi.org/10.1007/s00382-022-06260-x</a>","AutID":332452,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":357929,"RR":"<b>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.</b> (2022). Improving Arctic weather and seasonal climate prediction: recommendations for future forecast systems evolution from the European project APPLICATE. <i>Bull. Am. Meteorol. Soc. 103(10)</i>: E2203-E2213. <a href=\"https://dx.doi.org/10.1175/bams-d-22-0083.1\" target=\"_blank\">https://dx.doi.org/10.1175/bams-d-22-0083.1</a>","AutID":332452,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":352785,"RR":"<b>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.</b> (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. <i>Geosci. Model Dev. 15(2)</i>: 553-594. <a href=\"https://dx.doi.org/10.5194/gmd-15-553-2022\" target=\"_blank\">https://dx.doi.org/10.5194/gmd-15-553-2022</a>","AutID":490458,"MonDate":null,"AnaDate":2022,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337445,"RR":"<b>Cruz-García, R.; Ortega, P.; Guemas, V.; Acosta Navarro, J.C.; Massonnet, F.; Doblas-Reyes, F.J.</b> (2021). An anatomy of Arctic sea ice forecast biases in the seasonal prediction system with EC-Earth. <i>Clim. Dyn. 56(5-6)</i>: 1799-1813. <a href=\"https://hdl.handle.net/10.1007/s00382-020-05560-4\" target=\"_blank\">https://hdl.handle.net/10.1007/s00382-020-05560-4</a>","AutID":454377,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337313,"RR":"<b>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.</b> (2021). An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models. <i>Cryosphere 15(2)</i>: 951-982. <a href=\"https://hdl.handle.net/10.5194/tc-15-951-2021\" target=\"_blank\">https://hdl.handle.net/10.5194/tc-15-951-2021</a>","AutID":377868,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":353104,"RR":"<b>Lin, X.; Massonnet, F.; Fichefet, T.; Vancoppenolle, M.</b> (2021). SITool (v1.0) - a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP. <i>Geosci. Model Dev. 14(10)</i>: 6331-6354. <a href=\"https://dx.doi.org/10.5194/gmd-14-6331-2021\" target=\"_blank\">https://dx.doi.org/10.5194/gmd-14-6331-2021</a>","AutID":332452,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":353563,"RR":"<b>Lukovich, J.V.; Stroeve, J.C.; Crawford, A.; Hamilton, L.; Tsamados, M.; Heorton, H.; Massonnet, F.</b> (2021). Summer extreme cyclone impacts on Arctic sea ice. <i>J. Clim. 34(12)</i>: 4817-4834. <a href=\"https://dx.doi.org/10.1175/JCLI-D-19-0925.1\" target=\"_blank\">https://dx.doi.org/10.1175/JCLI-D-19-0925.1</a>","AutID":495213,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":360327,"RR":"<b>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.</b> (2021). The potential of numerical prediction systems to support the design of Arctic observing systems: Insights from the <scp>APPLICATE</scp> and <scp>YOPP</scp> projects. <i>Q. J. R. Meteorol. Soc. 147(741)</i>: 3863-3877. <a href=\"https://dx.doi.org/10.1002/qj.4182\" target=\"_blank\">https://dx.doi.org/10.1002/qj.4182</a>","AutID":455004,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337418,"RR":"<b>Shi, Q.; Yang, Q.; Mu, L.; Wang, J.; Massonnet, F.; Mazloff, M.R.</b> (2021). Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea. <i>Cryosphere 15(1)</i>: 31-47. <a href=\"https://hdl.handle.net/10.5194/tc-15-31-2021\" target=\"_blank\">https://hdl.handle.net/10.5194/tc-15-31-2021</a>","AutID":332452,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":383019,"RR":"<b>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.</b> (2021). Moving sea ice prediction forward via community intercomparison. <i>Bull. Am. Meteorol. Soc. 102(12)</i>: E2226-E2228. <a href=\"https://dx.doi.org/10.1175/BAMS-D-21-0159.1\" target=\"_blank\">https://dx.doi.org/10.1175/BAMS-D-21-0159.1</a>","AutID":331749,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":353184,"RR":"<b>Sterlin, J.; Fichefet, T.; Massonnet, F.; Lecomte, O.; Vancoppenolle, M.</b> (2021). Sensitivity of Arctic sea ice to melt pond processes and atmospheric forcing: a model study. <i>Ocean Modelling 167</i>: 15101872. <a href=\"https://dx.doi.org/10.1016/j.ocemod.2021.101872\" target=\"_blank\">https://dx.doi.org/10.1016/j.ocemod.2021.101872</a>","AutID":332452,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":353426,"RR":"<b>Tian, T.; Yang, S.; Karami, M.P.; Massonnet, F.; Kruschke, T.; Koenigk, T.</b> (2021). Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3. <i>Geosci. Model Dev. 14(7)</i>: 4283-4305. <a href=\"https://dx.doi.org/10.5194/gmd-14-4283-2021\" target=\"_blank\">https://dx.doi.org/10.5194/gmd-14-4283-2021</a>","AutID":332452,"MonDate":null,"AnaDate":2021,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337939,"RR":"<b>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.</b> (2020). Link between autumnal Arctic sea ice and northern hemisphere winter forecast skill. <i>Geophys. Res. Lett. 47(5)</i>: e2019GL086753. <a href=\"https://hdl.handle.net/10.1029/2019GL086753\" target=\"_blank\">https://hdl.handle.net/10.1029/2019GL086753</a>","AutID":257859,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337730,"RR":"<b>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.</b> (2020). The future of sea ice modeling: where do we go from here? <i>Bull. Am. Meteorol. Soc. 101(8)</i>: E1304-E1311. <a href=\"https://hdl.handle.net/10.1175/BAMS-D-20-0073.1\" target=\"_blank\">https://hdl.handle.net/10.1175/BAMS-D-20-0073.1</a>","AutID":331749,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":337627,"RR":"<b>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.</b> (2020). The Year of Polar Prediction in the Southern Hemisphere (YOPP-SH). <i>Bull. Am. Meteorol. Soc. 101(10)</i>: E1653-E1676. <a href=\"https://hdl.handle.net/10.1175/BAMS-D-19-0255.1\" target=\"_blank\">https://hdl.handle.net/10.1175/BAMS-D-19-0255.1</a>","AutID":455004,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":383037,"RR":"<b>Caron, L.P.; Massonnet, F.; Klotzbach, P.J.; Philp, T.J.; Stroeve, J.</b> (2020). Making seasonal outlooks of Arctic sea ice and Atlantic hurricanes valuable – Not just skillfull. <i>Bull. Am. Meteorol. Soc. 101(1)</i>: E36-E42. <a href=\"https://dx.doi.org/10.1175/BAMS-D-18-0314.1\" target=\"_blank\">https://dx.doi.org/10.1175/BAMS-D-18-0314.1</a>","AutID":197782,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":337749,"RR":"<b>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.</b> (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. <i>Geosci. Model Dev. 13(7)</i>: 3383-3438. <a href=\"https://hdl.handle.net/10.5194/gmd-13-3383-2020\" target=\"_blank\">https://hdl.handle.net/10.5194/gmd-13-3383-2020</a>","AutID":332452,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337622,"RR":"<b>Moreno-Chamarro, E.; Ortega, P.; Massonnet, F.</b> (2020). Impact of the ice thickness distribution discretization on the sea ice concentration variability in the NEMO3.6-LIM3 global ocean-sea ice model. <i>Geosci. Model Dev. 13(10)</i>: 4773-4787. <a href=\"https://hdl.handle.net/10.5194/gmd-13-4773-2020\" target=\"_blank\">https://hdl.handle.net/10.5194/gmd-13-4773-2020</a>","AutID":332452,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337844,"RR":"<b>Notz, D.; SIMIP Community</b> (2020). Arctic sea ice in CMIP6. <i>Geophys. Res. Lett. 47(10)</i>: e2019GL086749. <a href=\"https://hdl.handle.net/10.1029/2019GL086749\" target=\"_blank\">https://hdl.handle.net/10.1029/2019GL086749</a>","AutID":194236,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337751,"RR":"<b>Ponsoni, L.; Massonnet, F.; Docquier, D.; Van Achter, G.; Fichefet, T.</b> (2020). Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations. <i>Cryosphere 14(7)</i>: 2409-2428. <a href=\"https://hdl.handle.net/10.5194/tc-14-2409-2020\" target=\"_blank\">https://hdl.handle.net/10.5194/tc-14-2409-2020</a>","AutID":377868,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":337855,"RR":"<b>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.</b> (2020). Antarctic sea ice area in CMIP6. <i>Geophys. Res. Lett. 47(9)</i>: e2019GL086729. <a href=\"https://hdl.handle.net/10.1029/2019GL086729\" target=\"_blank\">https://hdl.handle.net/10.1029/2019GL086729</a>","AutID":194236,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":355821,"RR":"<b>Van Achter, G.; Ponsoni, L.; Massonnet, F.; Fichefet, T.; Legat, V.</b> (2020). Brief communication: Arctic sea ice thickness internal variability and its changes under historical and anthropogenic forcing. <i>Cryosphere 14(10)</i>: 3479-3486. <a href=\"https://dx.doi.org/10.5194/tc-14-3479-2020\" target=\"_blank\">https://dx.doi.org/10.5194/tc-14-3479-2020</a>","AutID":194236,"MonDate":null,"AnaDate":2020,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":383038,"RR":"<b>Acosta Navarro, J.C.A.; Ortega, P.; Garcia-Serrano, J.; Guemas, V.; Tourigny, E.; Cruz-Garcia, R.; Massonnet, F.; Doblas-Reyes, F.J.</b> (2019). December 2016: linking the lowest Arctic sea-ice extent on record with the lowest European precipitation event on record. <i>Bull. Am. Meteorol. Soc. 100(1)</i>: S43-S48. <a href=\"https://dx.doi.org/10.1175/BAMS-D-18-0097.1\" target=\"_blank\">https://dx.doi.org/10.1175/BAMS-D-18-0097.1</a>","AutID":194236,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":323104,"RR":"<b>Cruz-García, R.; Guemas, V.; Chevallier, M.; Massonnet, F.</b> (2019). An assessment of regional sea ice predictability in the Arctic ocean. <i>Clim. Dyn. 53(1-2)</i>: 427-440. <a href=\"https://dx.doi.org/10.1007/s00382-018-4592-6\" target=\"_blank\">https://dx.doi.org/10.1007/s00382-018-4592-6</a>","AutID":332452,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":0},{"BRefID":322926,"RR":"<b>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.</b> (2019). Impact of model resolution on Arctic sea ice and North Atlantic Ocean heat transport. <i>Clim. Dyn. 53(7-8)</i>: 4989-5017. <a href=\"https://dx.doi.org/10.1007/s00382-019-04840-y\" target=\"_blank\">https://dx.doi.org/10.1007/s00382-019-04840-y</a>","AutID":331749,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":311430,"RR":"<b>Lebrun, M.; Vancoppenolle, M.; Madec, G.; Massonnet, F.</b> (2019). Arctic sea-ice-free season projected to extend into autumn. <i>Cryosphere 13(1)</i>: 79-96. <a href=\"https://dx.doi.org/10.5194/tc-13-79-2019\" target=\"_blank\">https://dx.doi.org/10.5194/tc-13-79-2019</a>","AutID":331749,"MonDate":null,"AnaDate":2019,"PeerRev":1,"outputType":"1_A1","OpenAcc":1},{"BRefID":338056,"RR":"<b>Massonnet, F.</b> (2019). 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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. <a href=\"https://dx.doi.org/10.5281/zenodo.3567856\" target=\"_blank\">https://dx.doi.org/10.5281/zenodo.3567856</a>","AutID":455004,"MonDate":2019,"AnaDate":null,"PeerRev":0,"outputType":"7_Report","OpenAcc":1},{"BRefID":360332,"RR":"<b>Chevallier, M.; Massonnet, F.; Ponsoni, L.; Sandu, I.</b> (2018). Initial assessment of the added value of observations in existing long time-series datasets – guidance for dedicated observing system experiments. D 4.1. 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