2018
DOI: 10.1007/s00382-018-4243-y
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Ocean circulation drifts in multi-millennial climate simulations: the role of salinity corrections and climate feedbacks

Abstract: Low-resolution, complex general circulation models (GCMs) are valuable tools for studying the Earth system on multimillennial timescales. However, slowly evolving salinity drifts can cause large shifts in climatic and oceanic regimes over thousands of years. We test two different schemes for neutralising unforced salinity drifts in the FAMOUS GCM: surface flux correction and volumetric flux correction. Although both methods successfully maintain a steady global mean salinity, local drifts and subsequent feedba… Show more

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Cited by 12 publications
(27 citation statements)
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“…pled; Doney, 1999;Doney et al, 2004;Najjar et al, 2007). Thus, simulating carbon isotopes in a more complex ecosystem model would not necessarily yield substantially better results.…”
Section: Hadley Centre Ocean Carbon Cycle Model (Hadocc)mentioning
confidence: 99%
“…pled; Doney, 1999;Doney et al, 2004;Najjar et al, 2007). Thus, simulating carbon isotopes in a more complex ecosystem model would not necessarily yield substantially better results.…”
Section: Hadley Centre Ocean Carbon Cycle Model (Hadocc)mentioning
confidence: 99%
“…Antarctic Circumpolar Current in FAMOUS is weak compared to observations (Dentith et al, 2019), it is still strong enough to homogenize the water column.…”
Section: Post-bomb ∆ 14 C Distributionsmentioning
confidence: 70%
“…In this study, we used the Met Office Surface Exchange Scheme (MOSES) version 1 (Cox et al, 1999) generation of the model. Although the MOSES2.2 generation of the model offers increased and more dynamic Earth System capabilities (Essery et al, 2001(Essery et al, , 2003Williams et al, 2013;Valdes et al, 2017), the published setup does not accurately simulate the Meridional Overturning Circulation in multi-millennial simulations with constant pre-industrial boundary conditions (Dentith et al, 2019). At present, FAMOUS-MOSES1 is therefore a more appropriate tool for studying oceanic tracers.…”
Section: Model Descriptionmentioning
confidence: 99%
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