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Representation of Southern Ocean Properties across Coupled Model Intercomparison Project Generations: CMIP3 to CMIP6
- Source :
- Journal of Climate, Journal of Climate, American Meteorological Society, 2020, 33 (15), pp.6555-6581. ⟨10.1175/JCLI-D-19-0970.1⟩, JOURNAL OF CLIMATE, vol 33, iss 15, Journal of Climate, 2020, 33 (15), pp.6555-6581. ⟨10.1175/JCLI-D-19-0970.1⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- Author(s): Beadling, RL; Russell, JL; Stouffer, RJ; Mazloff, M; Talley, LD; Goodman, PJ; Sallee, JB; Hewitt, HT; Hyder, P; Pandde, Amarjiit | Abstract: AbstractThe air–sea exchange of heat and carbon in the Southern Ocean (SO) plays an important role in mediating the climate state. The dominant role the SO plays in storing anthropogenic heat and carbon is a direct consequence of the unique and complex ocean circulation that exists there. Previous generations of climate models have struggled to accurately represent key SO properties and processes that influence the large-scale ocean circulation. This has resulted in low confidence ascribed to twenty-first-century projections of the state of the SO from previous generations of models. This analysis provides a detailed assessment of the ability of models contributed to the sixth phase of the Coupled Model Intercomparison Project (CMIP6) to represent important observationally based SO properties. Additionally, a comprehensive overview of CMIP6 performance relative to CMIP3 and CMIP5 is presented. CMIP6 models show improved performance in the surface wind stress forcing, simulating stronger and less equatorward-biased wind fields, translating into an improved representation of the Ekman upwelling over the Drake Passage latitudes. An increased number of models simulate an Antarctic Circumpolar Current (ACC) transport within observational uncertainty relative to previous generations; however, several models exhibit extremely weak transports. Generally, the upper SO remains biased warm and fresh relative to observations, and Antarctic sea ice extent remains poorly represented. While generational improvement is found in many metrics, persistent systematic biases are highlighted that should be a priority during model development. These biases need to be considered when interpreting projected trends or biogeochemical properties in this region.
- Subjects :
- Atmospheric Science
Coupled model intercomparison project
010504 meteorology & atmospheric sciences
010505 oceanography
Ocean current
Wind stress
Forcing (mathematics)
Antarctic sea ice
Oceanography
01 natural sciences
Atmospheric Sciences
Geomatic Engineering
13. Climate action
[SDU]Sciences of the Universe [physics]
Climatology
[SDE]Environmental Sciences
Environmental science
Upwelling
Meteorology & Atmospheric Sciences
Climate model
14. Life underwater
Climate state
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 08948755 and 15200442
- Database :
- OpenAIRE
- Journal :
- Journal of Climate, Journal of Climate, American Meteorological Society, 2020, 33 (15), pp.6555-6581. ⟨10.1175/JCLI-D-19-0970.1⟩, JOURNAL OF CLIMATE, vol 33, iss 15, Journal of Climate, 2020, 33 (15), pp.6555-6581. ⟨10.1175/JCLI-D-19-0970.1⟩
- Accession number :
- edsair.doi.dedup.....070fcc16b57ad0370a56a612536e7ca2
- Full Text :
- https://doi.org/10.1175/JCLI-D-19-0970.1⟩