FN Archimer Export Format
PT J
TI An assessment of upper ocean salinity content from the Ocean Reanalyses Inter-comparison Project (ORA-IP)
BT 
AF SHI, L.
   ALVES, O.
   WEDD, R.
   BALMASEDA, M. A.
   CHANG, Y.
   CHEPURIN, G.
   FERRY, N.
   FUJII, Y.
   GAILLARD, Fabienne
   GOOD, S. A.
   GUINEHUT, S.
   HAINES, K.
   HERNANDEZ, F.
   LEE, T.
   PALMER, M.
   PETERSON, K. A.
   MASUDA, S.
   STORTO, A.
   TOYODA, T.
   VALDIVIESO, M.
   VERNIERES, G.
   WANG, Xuan
   YIN, Y.
AS 1:1;2:1;3:1;4:2;5:3,16;6:4;7:10;8:5;9:6;10:7;11:8;12:9;13:10,17;14:11;15:7;16:7;17:12;18:13;19:5;20:9;21:14;22:15;23:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:PDG-ODE-LOPS-OH;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;
C1 Bur Meteorol, Res & Dev Branch, Melbourne, Vic, Australia.
   European Ctr Medium Range Weather Forecasting ECM, Reading, Berks, England.
   Princeton Univ, GFDL, Princeton, NJ 08544 USA.
   Univ Maryland, College Pk, MD 20742 USA.
   Japan Meteorol Agcy, MRI, Tsukuba, Ibaraki, Japan.
   IFREMER, UMR 6523, LPO, CNRS,IRD,UBO, CS 10070, F-29280 Plouzane, France.
   Met Off, Hadley Ctr, Exeter, Devon, England.
   CLS, Ramonville St Agne, France.
   Univ Reading, NCEO, Reading, Berks, England.
   Mercator Ocean, Ramonville St Agne, France.
   CALTECH, Jet Prop Lab, Pasadena, CA USA.
   Japan Agcy Marine Earth Sci & Technol, Res & Dev Ctr Global Change, Yokosuka, Kanagawa, Japan.
   Euromediterranean Ctr Climate Change CMCC, Bologna, Italy.
   NASA, GMAO, Washington, DC 20546 USA.
   Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn JIFRESSE, Los Angeles, CA USA.
   Kongju Natl Univ, Dept Earth Sci, Gongju, South Korea.
   IRD, Toulouse, France.
C2 CAWCR, AUSTRALIA
   ECMWF, UK
   UNIV PRINCETON, USA
   UNIV MARYLAND, USA
   JAPAN METEOROL AGCY, JAPAN
   IFREMER, FRANCE
   MET OFF, UK
   CLS, FRANCE
   UNIV READING, UK
   MERCATOR OCEAN, FRANCE
   CALTECH, USA
   JAMSTEC, JAPAN
   CMCC, ITALY
   NASA, USA
   UNIV CALIF LOS ANGELES, USA
   KONGJU NATL UNIV, SOUTH KOREA
   IRD, FRANCE
SI BREST
SE PDG-ODE-LOPS-OH
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
   copubli-europe
   copubli-int-hors-europe
IF 3.774
TC 21
UR https://archimer.ifremer.fr/doc/00396/50724/84525.pdf
LA English
DT Article
DE ;Ocean reanalyses;Salinity content;Intercomparison
AB Many institutions worldwide have developed ocean reanalyses systems (ORAs) utilizing a variety of ocean models and assimilation techniques. However, the quality of salinity reanalyses arising from the various ORAs has not yet been comprehensively assessed. In this study, we assess the upper ocean salinity content (depth-averaged over 0-700 m) from 14 ORAs and 3 objective ocean analysis systems (OOAs) as part of the Ocean Reanalyses Intercomparison Project. Our results show that the best agreement between estimates of salinity from different ORAs is obtained in the tropical Pacific, likely due to relatively abundant atmospheric and oceanic observations in this region. The largest disagreement in salinity reanalyses is in the Southern Ocean along the Antarctic circumpolar current as a consequence of the sparseness of both atmospheric and oceanic observations in this region. The West Pacific warm pool is the largest region where the signal to noise ratio of reanalysed salinity anomalies is > 1. Therefore, the current salinity reanalyses in the tropical Pacific Ocean may be more reliable than those in the Southern Ocean and regions along the western boundary currents. Moreover, we found that the assimilation of salinity in ocean regions with relatively strong ocean fronts is still a common problem as seen in most ORAs. The impact of the Argo data on the salinity reanalyses is visible, especially within the upper 500 m, where the interannual variability is large. The increasing trend in global-averaged salinity anomalies can only be found within the top 0-300 m layer, but with quite large diversity among different ORAs. Beneath the 300 m depth, the global-averaged salinity anomalies from most ORAs switch their trends from a slightly growing trend before 2002 to a decreasing trend after 2002. The rapid switch in the trend is most likely an artefact of the dramatic change in the observing system due to the implementation of Argo. 
PY 2017
PD AUG
SO Climate Dynamics
SN 0930-7575
PU Springer
VL 49
IS 3
UT 000407244700015
BP 1009
EP 1029
DI 10.1007/s00382-015-2868-7
ID 50724
ER

EF