2017
DOI: 10.1016/j.ocemod.2017.11.002
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Will high-resolution global ocean models benefit coupled predictions on short-range to climate timescales?

Abstract: Will high-resolution global ocean models benefit coupled predictions on short-range to climate timescales?,

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Cited by 93 publications
(96 citation statements)
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“…However, there is increasing evidence that this is the case (e.g., Hallam et al, ). High‐resolution models can help to better understand the relationship between the AMOC and climate/weather timescales (e.g., Hewitt et al, ). Increasingly, these models can be run for many decades, sometimes even centuries, thus providing much longer time series for analysis.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…However, there is increasing evidence that this is the case (e.g., Hallam et al, ). High‐resolution models can help to better understand the relationship between the AMOC and climate/weather timescales (e.g., Hewitt et al, ). Increasingly, these models can be run for many decades, sometimes even centuries, thus providing much longer time series for analysis.…”
Section: Discussion and Outlookmentioning
confidence: 99%
“…It is important to note that other aspects of resolution such as ocean resolution or vertical atmospheric resolution were not tested in this study. Nevertheless, there is evidence that improved ocean resolution can improve the fidelity of simulations relevant to seasonal prediction (Scaife et al, 2011;Hewitt et al, 2017). In particular, higher ocean resolution may increase the strength of ocean-atmosphere coupling (Minobe et al, 2008;Kirtman et al, 2017), although there is as yet limited evidence for increased prediction skill from increased ocean resolution.…”
Section: Discussionmentioning
confidence: 99%
“…In general, these models improve on many of the shortcomings in coarser resolution, non-eddy resolving climate models, as described in a recent review (Hewitt et al 2017 and references therein). In particular, air-sea interaction in the Gulf Stream is improved in eddy-resolving coupled climate models, and hence, would be necessary to resolve also in dynamical prediction systems (Siqueira and Kirtman 2016).…”
Section: Discussionmentioning
confidence: 99%