|Author(s)||Penduff Thierry1, Serazin Guillaume2, Leroux Stephanie3, Close Sally4, Molines Jean-Marc4, Barnier Bernard4, Bessieres Laurent5, Terray Laurent5, Maze Guillaume6|
|Affiliation(s)||1 : CNRS, IGE MEOM, UGA CS, F-40700 Grenoble, France.
2 : OMP, Lab Etud Geophys & Oceanog Spatiales, Toulouse, France.
3 : Ocean Next, Grenoble, France.
4 : Univ Grenoble Alpes, CNRS, IRD, Grenoble INP,Inst Geosci Environm, Grenoble, France.
5 : CNRS, CERFACS, CECI UMR 5318, Toulouse, France.
6 : Univ Brest, IFREMER, CNRS, IRD,Lab Oceanog Phys & Spatiale,IUEM, Plouzane, France.
|Source||Oceanography (1042-8275) (Oceanography Soc), 2018-06 , Vol. 31 , N. 2 , P. 63-71|
|WOS© Times Cited||3|
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.
Penduff Thierry, Serazin Guillaume, Leroux Stephanie, Close Sally, Molines Jean-Marc, Barnier Bernard, Bessieres Laurent, Terray Laurent, Maze Guillaume (2018). Chaotic Variability of Ocean: Heat Content Climate-Relevant Features and Observational Implications. Oceanography, 31(2), 63-71. Publisher's official version : https://doi.org/10.5670/oceanog.2018.210 , Open Access version : https://archimer.ifremer.fr/doc/00448/55959/