FN Archimer Export Format
PT J
TI Chaotic Variability of Ocean: Heat Content Climate-Relevant Features and Observational Implications
BT 
AF PENDUFF, Thierry
   SERAZIN, Guillaume
   LEROUX, Stephanie
   CLOSE, Sally
   MOLINES, Jean-Marc
   BARNIER, Bernard
   BESSIERES, Laurent
   TERRAY, Laurent
   MAZE, Guillaume
AS 1:1;2:2;3:3;4:4;5:4;6:4;7:5;8:5;9:6;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:PDG-ODE-LOPS-OH;
C1 CNRS, IGE MEOM, UGA CS, F-40700 Grenoble, France.
   OMP, Lab Etud Geophys & Oceanog Spatiales, Toulouse, France.
   Ocean Next, Grenoble, France.
   Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,Inst Geosci Environm, Grenoble, France.
   CNRS, CERFACS, CECI UMR 5318, Toulouse, France.
   Univ Brest, IFREMER, CNRS, IRD,Lab Oceanog Phys & Spatiale,IUEM, Plouzane, France.
C2 CNRS, FRANCE
   OBSERV MIDI PYRENEES, FRANCE
   OCEAN NEXT, FRANCE
   UNIV GRENOBLE ALPES, FRANCE
   CNRS, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE-LOPS-OH
UM LOPS
IN WOS Ifremer jusqu'en 2018
   DOAJ
   copubli-france
   copubli-univ-france
IF 3.913
TC 28
UR https://archimer.ifremer.fr/doc/00448/55959/57440.pdf
LA English
DT Article
AB Global ocean models that admit mesoscale turbulence spontaneously generate a substantial interannual-to-multidecadal chaotic intrinsic variability in the absence of atmospheric forcing variability at these timescales. is phenomenon is substantially weaker in non-turbulent ocean models but provides a marked stochastic avor to the low-frequency variability in eddying ocean models, which are being cou- pled to the atmosphere for next-generation climate projections. In order to disentangle the atmospherically forced and intrinsic ocean variabilities, the OCCIPUT (OceaniC Chaos – ImPacts, strUcture, predicTability) project performed a long (1960–2015), large ensemble (50 members) of global ocean/sea ice 1/4° simulations driven by the same atmospheric reanalysis, but with perturbed initial conditions. Subsequent ensem- ble statistics show that the ocean variability can be seen as a broadband “noise,” with characteristic scales reaching multiple decades and basin sizes, locally modulated by the atmospheric variability. In several mid-latitude regions, chaotic processes have more impact than atmospheric variability on both the low-frequency variability and the long-term trends of regional ocean heat content. Consequently, certain climate- relevant oceanic signals cannot be unambiguously attributed to atmospheric variabil- ity, raising new issues for the detection, attribution, and interpretation of oceanic heat variability and trends in the presence of mesoscale turbulence. 
PY 2018
PD JUL
SO Oceanography
SN 1042-8275
PU Oceanography Soc
VL 31
IS 2
UT 000452824700013
BP 63
EP 71
DI 10.5670/oceanog.2018.210
ID 55959
ER

EF