FN Archimer Export Format PT J TI An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part I: Sea ice and solid freshwater BT AF WANG, Qiang ILICAK, Mehmet GERDES, Ruediger DRANGE, Helge AKSENOV, Yevgeny BAILEY, David A. BENTSEN, Mats BIASTOCH, Arne BOZEC, Alexandra BOENING, Claus CASSOU, Christophe CHASSIGNET, Eric COWARD, Andrew C. CURRY, Beth DANABASOGLU, Gokhan DANILOV, Sergey FERNANDEZ, Elodie FOGLI, Pier Giuseppe FUJII, Yosuke GRIFFIES, Stephen M. IOVINO, Doroteaciro JAHN, Alexandra JUNG, Thomas LARGE, William G. LEE, Craig LIQUE, Camille LU, Jianhua MASINA, Simona NURSER, A. J. George RABE, Benjamin ROTH, Christina SALAS Y MELIA, David SAMUELS, Bonita L. SPENCE, Paul TSUJINO, Hiroyuki VALCKE, Sophie VOLDOIRE, Aurore WANG, Xuezhu YEAGER, Steve G. AS 1:1;2:2;3:1;4:3;5:4;6:5;7:2;8:6;9:7;10:6;11:8;12:7;13:4;14:9;15:5;16:1;17:8;18:10;19:11;20:12;21:10;22:5,13,14;23:15;24:5;25:9;26:16,17;27:7;28:10,21;29:4;30:1;31:6;32:18;33:12;34:19,20;35:11;36:8;37:18;38:1;39:5; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:PDG-ODE-LOPS-OH;27:;28:;29:;30:;31:;32:;33:;34:;35:;36:;37:;38:;39:; C1 Helmholtz Ctr Polar & Marine Res AWI, Bremerhaven, Germany. Uni Res Ltd, Bergen, Norway. Univ Bergen, Bergen, Norway. NOC, Southampton SO14 3ZH, Hants, England. Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA. GEOMAR Helmholtz Ctr Ocean Res, Kiel, Germany. Florida State Univ, COAPS, Tallahassee, FL 32306 USA. CERFACS, Toulouse, France. Univ Washington, Appl Phys Lab, Seattle, WA 98105 USA. Ctr Euromediterrarteo Cambiamenti Climat CMCC, Bologna, Italy. Japan Meteorol Agcy, MRI, Tsukuba, Ibaraki, Japan. NOAA, GFDL, Princeton, NJ USA. Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA. Univ Colorado, Inst Arctic & Alpine Res, Boulder, CO 80309 USA. Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany. Univ Oxford, Dept Earth Sci, Oxford OX1 3PR, England. IFREMER, Ctr Brest, Lab Phys Oceans, Plouzane, France. CNRM, Toulouse, France. Univ New S Wales, Climate Change Res Ctr, Sydney, NSW, Australia. Univ New S Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia. INGV, Bologna, Italy. C2 INST A WEGENER, GERMANY UNI RES BERGEN, NORWAY UNIV BERGEN, NORWAY NOC, UK NCAR NATL CTR ATMOSPHER RES, USA GEOMAR HELMHOLTZ CTR OCEAN RES, GERMANY UNIV FLORIDA STATE, USA CERFACS, FRANCE UNIV WASHINGTON, USA CMCC, ITALY JAPAN METEOROL AGCY, JAPAN NOAA, USA UNIV COLORADO, USA UNIV COLORADO, USA UNIV BREMEN, GERMANY UNIV OXFORD, UK IFREMER, FRANCE CNRM (METEO FRANCE), FRANCE UNIV NEW S WALES, AUSTRALIA UNIV NEW S WALES, AUSTRALIA INGV, ITALY SI BREST SE PDG-ODE-LOPS-OH UM LOPS IN WOS Ifremer jusqu'en 2018 copubli-france copubli-europe copubli-int-hors-europe IF 3.341 TC 63 UR https://archimer.ifremer.fr/doc/00307/41812/84134.pdf LA English DT Article DE ;Arctic Ocean;Sea ice;Freshwater;CORE II atmospheric forcing AB The Arctic Ocean simulated in fourteen global ocean-sea ice models in the framework of the Coordinated Ocean-ice Reference Experiments, phase II (CORE II) is analyzed. The focus is on the Arctic sea ice extent, the solid freshwater (FW) sources and solid freshwater content (FWC). Available observations are used for model evaluation. The variability of sea ice extent and solid FW budget is more consistently reproduced than their mean state in the models. The descending trend of September sea ice extent is well simulated in terms of the model ensemble mean. Models overestimating sea ice thickness tend to underestimate the descending trend of September sea ice extent. The models underestimate the observed sea ice thinning trend by a factor of two. When averaged on decadal time scales, the variation of Arctic solid FWC is contributed by those of both sea ice production and sea ice transport, which are out of phase in time. The solid FWC decreased in the recent decades, caused mainly by the reduction in sea ice thickness. The models did not simulate the acceleration of sea ice thickness decline, leading to an underestimation of solid FWC trend after 2000. The common model behavior, including the tendency to underestimate the trend of sea ice thickness and March sea ice extent, remains to be improved PY 2016 PD MAR SO Ocean Modelling SN 1463-5003 PU Elsevier Sci Ltd VL 99 UT 000371792800008 BP 110 EP 132 DI 10.1016/j.ocemod.2015.12.008 ID 41812 ER EF