FN Archimer Export Format
PT J
TI An assessment of the Arctic Ocean in a suite of interannual CORE-II simulations. Part II: Liquid 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;17:7;18:10;19:11;20:12;21:10;22:5,13,14;23:1,15;24:5;25:9;26:16,17;27:;28:10,21;29:4;30:1;31:6;32:18;33:12;34:19,20;35:11;36:;37:18;38:1;39:5;
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C1 Helmholtz Ctr Polar & Marine Res AWI, Alfred Wegener Inst, 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.
   Ctr Europeen Rech & Format Avancee Calcul Sci, Unite Rech Associee 1875, Ctr Natl Rech Sci, URA1875,CERFACS, Toulouse, France.
   Univ Washington, Appl Phys Lab, Seattle, WA 98105 USA.
   Ctr Euromediterraneo 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 61
UR https://archimer.ifremer.fr/doc/00313/42463/41835.pdf
   https://archimer.ifremer.fr/doc/00313/42463/84136.pdf
LA English
DT Article
DE ;Arctic Ocean;Freshwater;Sea ice;CORE II atmospheric forcing
AB The Arctic Ocean simulated in 14 global ocean-sea ice models in the framework of the Coordinated Ocean-ice Reference Experiments, phase II (CORE-II) is analyzed in this study. The focus is on the Arctic liquid freshwater (FW) sources and freshwater content (FWC). The models agree on the interannual variability of liquid FW transport at the gateways where the ocean volume transport determines the FW transport variability. The variation of liquid FWC is induced by both the surface FW flux (associated with sea ice production) and lateral liquid FW transport, which are in phase when averaged on decadal time scales. The liquid FWC shows an increase starting from the mid-1990s, caused by the reduction of both sea ice formation and liquid FW export, with the former being more significant in most of the models. The mean state of the FW budget is less consistently simulated than the temporal variability. The model ensemble means of liquid FW transport through the Arctic gateways compare well with observations. On average, the models have too high mean FWC, weaker upward trends of FWC in the recent decade than the observation, and low consistency in the temporal variation of FWC spatial distribution, which needs to be further explored for the purpose of model development.
PY 2016
PD MAR
SO Ocean Modelling
SN 1463-5003
PU Elsevier Sci Ltd
VL 99
UT 000371792800007
BP 86
EP 109
DI 10.1016/j.ocemod.2015.12.009
ID 42463
ER

EF