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Inter-hemispheric differences in energy budgets and cross-equatorial transport anomalies during the 20th century

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Abstract

We analyze the evolution of inter-hemispheric asymmetries in the energy budgets (EBs) and near-surface temperature anomalies during the 20th century, as given in Coupled Model Inter-comparison Project, phase 5 (CMIP5) simulations. We also consider the cross-equatorial energy transports (CET) in the atmosphere and in the oceans, in order to evidence how EB asymmetries affect the redistribution of energy between the two hemispheres. Two different experimental settings have been considered, one including only the spatially homogeneous evolving greenhouse gas forcing (GHG), and another one a realistic superposition of all known evolving forcings (ALL), such as aerosols and volcanic eruptions. This study shows that, according to the CMIP5 models, the response of the climate system to the ongoing forcing during the 20th century has differed substantially from what would have resulted from an increase in GHG concentration alone. In the GHG ensemble the Northern Hemisphere (NH) warms more than the Southern Hemisphere (SH), while both hemispheres exhibit similar and positive EB anomalies at the TOA, mainly due to increasing shortwave absorption and with no significant variations of cross-equatorial energy transports. On the contrary, in the ALL ensemble the two hemispheres warm similarly, while the SH exhibits a positive EB anomaly twice as large as in the NH, due to a reduced LW emission (Outgoing Longwave Radiation, OLR) in the SH, with oceanic CET anomalies directed towards the NH. The EB asymmetry in ALL is ascribed to the asymmetry in OLR changes, which is explained by the different role of clouds in the two hemispheres. The ocean heat content (OHC) tendency per unit surface area is similar in the two hemispheres, so that the asymmetries in ALL EB determine CET changes. We evidence that CET changes in the ALL ensemble are associated with the inter-hemispheric asymmetry in the aerosol forcing, which is stronger in the NH than in the SH. We find no significant relation between CETs and inter-hemispheric near-surface temperature asymmetries in GHG, partly due to the large model spread. Generally, deficits in modeled CET for present-day conditions are not ascribed to forcings and feedbacks, rather they are intrinsic to the models.

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Notes

  1. This multi-model mean value, that we obtain from all CMIP5 models that we have considered, is consistent within uncertainty with (Loeb et al. 2015) value for present-day conditions in CMIP5, amounting to 3.3 W/m\(^2\) in TOA EB asymmetry.

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Acknowledgements

The authors want to thank Christian Franzke, Norman Loeb and Valerio Lucarini for the useful comments and suggestions. They acknowledge the international modeling groups for providing their data for analysis, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) for collecting and archiving the model data, the JSC/CLIVAR Working Group on Coupled Modeling (WGCM) and their Coupled Model Intercomparison Project (CMIP) and Climate Simulation Panel for organizing the model data analysis activity, and the IPCC WG1 TSU for technical support. The IPCC Data Archive at Lawrence Livermore National Laboratory is supported by the Office of Science, US Department of Energy. Valerio Lembo is funded by the Collaborative Research Centre TRR181 “Energy Transfers in Atmosphere and Ocean” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)-Projektnummer 274762653.

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Correspondence to Valerio Lembo.

Appendix: The computation of ocean heat content

Appendix: The computation of ocean heat content

The computation of the vertically integrated Ocean Heat Content (OHC) in CMIP5 models follows from (Palmer and McNeall 2014). It is accomplished by using equation:

$$\begin{aligned} OHC = \int _V \rho C_p \theta _o dV, \end{aligned}$$
(5)

where \(\rho\) is a reference density, amounting to 1025 kg/m\(^3\) and \(C_p\) a specific heat capacity, set to 3985 J/kg/K, \(\theta _o\) is the ocean potential temperature. The volume dV is either provided as an output of the model, or it is computed from the surface area multiplied by the thickness of the respective vertical level (cfr. Palmer and McNeall 2014). Equation (5) is used for the computation of OHC in each hemisphere.

The estimation of OHC tendencies has not been performed on all models, given that not all model outputs provided both \(\theta _o\) and the volume/area of the ocean grid cell. We thus retrieved OHC tendencies for 21 out of 31 models in ALL, 13 out of 14 models in GHG.

Before computing OHC tendencies in ALL and GHG, one has to account for spurious model drifts, that are a major source of uncertainty for many models. In order to do so, trends in OHC are computed from piControl runs for each model, then are subtracted from the ALL and GHG respective runs.

The rate of change in OHC \(\displaystyle \frac{1}{\varSigma } \frac{\partial {OHC}}{\partial t}\), i.e. the flux of energy entering the ocean from its surface \(\varSigma\), is then computed by the detrended OHC tendency. In this way fluxes are obtained in W/m\(^2\), i.e. per unit area. The amount of energy asymmetry which is not available for \(OHT_{eq}\) (\(\varDelta OHC\), cfr. Eq. 4) is given by:

$$\begin{aligned} {}\langle \varDelta OHC\rangle =\frac{1}{2\varSigma } \left[ \varSigma _{SH,o} \frac{\partial OHC_{SH}}{\partial t} - \varSigma _{NH,o} \frac{\partial OHC_{NH}}{\partial t} \right] \end{aligned}$$
(6)

where \(\varSigma _{SH,o}\) and \(\varSigma _{NH,o}\) are the surface areas of the SH and NH oceans, respectively.

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Lembo, V., Folini, D., Wild, M. et al. Inter-hemispheric differences in energy budgets and cross-equatorial transport anomalies during the 20th century. Clim Dyn 53, 115–135 (2019). https://doi.org/10.1007/s00382-018-4572-x

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  • DOI: https://doi.org/10.1007/s00382-018-4572-x

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