Frequency-Domain Analysis of the Energy Budget in an Idealized Coupled Ocean–Atmosphere Model

Martin, Paige E.; Arbic, Brian K.; Hogg, Andrew McC.; Kiss, Andrew E.; Munroe, James; Blundell, Jeffrey R.

doi:10.1175/jcli-d-19-0118.1

Cited by 9 publications

(7 citation statements)

References 45 publications

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“…Mesoscale eddies can also interact with the mean flow, for example through rectification, which can lead to changes in momentum and vorticity input by wind stress (Hogg and Blundell, 2006;Berloff et al, 2007a). Last, nonlinear advection of kinetic energy in the western boundary current separation region can lead to an inverse temporal cascade in which spectral energy is shifted from high to low frequencies (Martin et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model

Jüling¹,

Heydt

Dijkstra

2021

Ocean Sci.

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Abstract. Climate variability on multidecadal timescales appears to be organized in pronounced patterns with clear expressions in sea surface temperature, such as the Atlantic Multidecadal Variability and the Pacific Decadal Oscillation. These patterns are now well studied both in observations and global climate models and are important in the attribution of climate change. Results from CMIP5 models have indicated large biases in these patterns with consequences for ocean heat storage variability and the global mean surface temperature. In this paper, we use two multi-century Community Earth System Model simulations at coarse (1∘) and fine (0.1∘) ocean model horizontal grid spacing to study the effects of the representation of mesoscale ocean flows on major patterns of multidecadal variability. We find that resolving mesoscale ocean flows both improves the characteristics of the modes of variability with respect to observations and increases the amplitude of the heat content variability in the individual ocean basins. In the strongly eddying model, multidecadal variability increases compared to sub-decadal variability. This shift of spectral power is seen in sea surface temperature indices, basin-scale surface heat fluxes, and the global mean surface temperature. This implies that the current CMIP6 model generation, which predominantly does not resolve the ocean mesoscale, may systematically underestimate multidecadal variability.

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Section: Introductionmentioning

confidence: 99%

Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model

Jüling¹,

Heydt

Dijkstra

2021

Ocean Sci.

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“…Schneider and Qiu, 2015) or relate this temperature in an ad hoc way to the instantaneous in situ distribution of the model's tropospheric temperature (Kravtsov et al, 2005(Kravtsov et al, , 2006(Kravtsov et al, , 2007Deremble et al, 2012). The Q-GCM model was previously used for ocean-only and coupled experiments around the double-gyre problem (Hogg et al, 2005Martin et al, 2020), as well as in the ocean-only studies of the Southern Ocean's climate system Meredith and Hogg, 2006;Hogg et al, 2008;Hutchinson et al, 2010;Kravtsov et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

The Moist Quasi-Geostrophic Coupled Model: MQ-GCM 2.0

et al. 2022

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Abstract. This paper contains a description of recent changes to the formulation and numerical implementation of the Quasi-Geostrophic Coupled Model (Q-GCM), which constitute a major update of the previous version of the model (Hogg et al., 2014). The Q-GCM model has been designed to provide an efficient numerical tool to study the dynamics of multi-scale midlatitude air–sea interactions and their climatic impacts. The present additions/alterations were motivated by an inquiry into the dynamics of mesoscale ocean–atmosphere coupling and, in particular, by an apparent lack of the Q-GCM atmosphere's sensitivity to mesoscale sea-surface temperature (SST) anomalies, even at high (mesoscale) atmospheric resolutions, contrary to ample theoretical and observational evidence otherwise. Major modifications aimed at alleviating this problem include an improved radiative-convective scheme resulting in a more realistic model mean state and associated model parameters; a new formulation of entrainment in the atmosphere, which prompts more efficient communication between the atmospheric mixed layer and free troposphere; and an addition of a temperature-dependent wind component in the atmospheric mixed layer and the resulting mesoscale feedbacks. The most drastic change is, however, the inclusion of moist dynamics in the model, which may be key to midlatitude ocean–atmosphere coupling. Accordingly, this version of the model is to be referred to as the MQ-GCM model. Overall, the MQ-GCM model is shown to exhibit a rich spectrum of behaviors reminiscent of many of the observed properties of the Earth's climate system. It remains to be seen whether the added processes are able to affect in fundamental ways the simulated dynamics of the midlatitude ocean–atmosphere system's coupled decadal variability.

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“…Schneider and Qiu, 2015) or relate this temperature in an ad hoc way to the instantaneous in-situ distribution of the model's tropospheric temperature (Kravtsov et al 2005(Kravtsov et al , 2006(Kravtsov et al , 2007Deremble et al 2012). The Q-GCM model was previously used for ocean-only and coupled experiments around the double-gyre problem (Hogg et al, 2005(Hogg et al, , 2007Martin et al 2020), as well as in the ocean-only studies of the Southern Ocean's climate system Meredith and Hogg, 2006;Hogg et al, 2008;Hutchinson et al, 2010;Kravtsov et al, 2011).…”

mentioning

confidence: 99%

A Moist Quasi-Geostrophic Coupled Model: MQ-GCM2.0

Kravtsov

Mastilovic

Hogg

et al. 2021

Preprint

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Abstract. This paper contains a description of recent changes to the formulation and numerical implementation of the Quasi-Geostrophic Coupled Model (Q-GCM), which constitute a major update of the previous version of the model (Hogg et al., 2014). The Q-GCM model has been designed to provide an efficient numerical tool to study the dynamics of multi-scale mid-latitude air–sea interactions and their climatic impacts. The present additions/alterations were motivated by an inquiry into the dynamics of mesoscale ocean–atmosphere coupling and, in particular, by an apparent lack of Q-GCM atmosphere’s sensitivity to mesoscale sea-surface temperature (SST) anomalies, even at high (mesoscale) atmospheric resolutions, contrary to ample theoretical and observational evidence otherwise. Major modifications aimed at alleviating this problem include an improved radiative-convective scheme resulting in a more realistic model mean state and associated model parameters, a new formulation of entrainment in the atmosphere, which prompts more efficient communication between the atmospheric mixed layer and free troposphere, as well as an addition of temperature-dependent wind component in the atmospheric mixed layer and the resulting mesoscale feedbacks. The most drastic change is, however, the inclusion of moist dynamics in the model, which may be key to midlatitude ocean–atmosphere coupling. Accordingly, this version of the model is to be referred to as the MQ-GCM model. Overall, the MQ-GCM model is shown to exhibit a rich spectrum of behaviours reminiscent of many of the observed properties of the Earth’s climate system. It remains to be seen whether the added processes are able to affect in fundamental ways the simulated dynamics of the mid-latitude ocean–atmosphere system’s coupled decadal variability.

show abstract

Frequency-Domain Analysis of the Energy Budget in an Idealized Coupled Ocean–Atmosphere Model

Cited by 9 publications

References 45 publications

Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model

Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model

The Moist Quasi-Geostrophic Coupled Model: MQ-GCM 2.0

A Moist Quasi-Geostrophic Coupled Model: MQ-GCM2.0

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