Sea Level Expression of Intrinsic and Forced Ocean Variabilities at Interannual Time Scales
By T. Penduff, M. Juzà, B. Barnier, J. Zika, William Dewar, A. Treguier, J. Molines, N. Audiffren. 2011
148 citations recorded by the source corpus.
AbstractThis paper evaluates in a realistic context the local contributions of direct atmospheric forcing and intrinsic oceanic processes on interannual sea level anomalies (SLAs). A ¼° global ocean–sea ice general circulation model, driven over 47 yr by the full range of atmospheric time scales, is quantitatively assessed against altimetry and shown to reproduce most observed features of the interannual SLA variability from 1993 to 2004. Comparing this simulation with a second driven only by the climatological annual cycle reveals that the intrinsic part of the total interannual SLA variance exceeds 40% over half of the open-ocean area and exceeds 80% over one-fifth of it. This intrinsic contribution is particularly strong in eddy-active regions (more than 70%–80% in the Southern Ocean and western boundary current extensions) as predicted by idealized studies, as well as within the 20°–35° latitude bands. The atmosphere directly forces most of the interannual SLA variance at low latitudes and in most mid...
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/144dee3d66ed9d5be220cead74f99c89876a73b4
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In Atmospheric Science
- Robert Hallberg
- S. Griffies
- Gokhan Danabasoglu
- B. Fox‐Kemper
- S. Yeager
- C. Böning
- S. Doney
- Alistair Adcroft
In Global and Planetary Change
- Robert Hallberg
- S. Griffies
- Gokhan Danabasoglu
- B. Fox‐Kemper
- Alistair Adcroft
- Sonya Legg
- S. Yeager
- R. Greatbatch
In Oceanography
- Robert Hallberg
- S. Griffies
- Gokhan Danabasoglu
- B. Fox‐Kemper
- Alistair Adcroft
- C. Böning
- Sonya Legg
- S. Yeager
Citations in the corpus
- Challenges and Prospects in Ocean Circulation Models (2019, background): “However, mesoscale eddy dynamics generate interannual large scale variability (Penduff et al., 2011) with low predictability, which has been addressed with a large ensemble approach (Leroux et al.”
- Biogeochemical protocols and diagnostics for the CMIP6 Ocean Model Intercomparison Project (OMIP) (2016, background): “Previous studies of the ocean’s internal variability have focused only on physical variables (Penduff et al., 2011).”