Skip to main content

Advertisement

Log in

Inter-model spreads of the climatological mean Hadley circulation in AMIP/CMIP6 simulations

  • Published:
Climate Dynamics Aims and scope Submit manuscript

Abstract

We study inter-model spreads of the climatological annual mean Hadley circulation (HC), using 37 models from Coupled Model Intercomparison Project phase 6 (CMIP6) Atmospheric Model Intercomparison Project (AMIP). Our results show significant inter-model spreads of the climatological annual mean HC although the models are driven with identical sea surface temperatures (SSTs). Two leading modes of inter-model HC spreads are identified, using the method of inter-model empirical orthogonal function (EOF) decomposition. The EOF1 mode exhibits an equatorial symmetric dipole pattern, explains 40.5% of the total inter-model variance of mean meridional mass streamfunction (MMS), and reflects inter-model spreads of the HC strength and latitudinal locations of the ascending branch in AMIP simulations. The EOF2 mode explains 23.1% of the MMS variance, and mainly reflects inter-model spreads of latitudinal locations of the ascending branch and poleward edges of the Hadley cells. Regression of tropical precipitation on PC1 and PC2 shows that both two leading modes are closely related to model performance in simulating tropical convective precipitation. It suggests that inter-model spreads of the HC are due to different cloud-convection parameterization schemes among the AMIP models. Models that simulate heavier tropical convective precipitation generate concentrated equatorial convective heating and stronger, but narrower, Hadley cells, and the associated ascending branch is located more southward. Models that simulate stronger tropical convective precipitation in the south of the equator exhibit southward biases of the latitudinal position of the ascending branch and a narrower Northern-Hemispheric cell. This study indicates that improvements of cloud-convection parameterizations are of critical importance in simulating the HC.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

Data availability

The meteorological data for this paper are available in the following websites: ERA 5 (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5), ECMWF Interim reanalysis (http://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=pl), NCEP versions 1 and 2 reanalysis data (https://www.esrl.noaa.gov/psd/data/), JRA-55 reanalysis (http://jra.kishou.go. jp), MERRA2 (https://disc.gsfc.nasa.gov/datasets), and CFSR reanalysis (https://rda.ucar.edu/pub/cfsr.html). Model data of CMIP6 are available from https://esgf-node.llnl.gov/projects/cmip6/.

References

Download references

Acknowledgements

The analyses were performed on High-performance Computing Platform of Peking University.

Funding

This work is supported by the National Natural Science Foundation of China under grant 41888101.

Author information

Authors and Affiliations

Authors

Contributions

HY contributed to the study conception, design and writing. ZS contributed to data collection, analysis and writing-original draft. LJ provided constructive discussions and writing-review. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Yongyun Hu.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, S., Hu, Y. & Liu, J. Inter-model spreads of the climatological mean Hadley circulation in AMIP/CMIP6 simulations. Clim Dyn 61, 4411–4427 (2023). https://doi.org/10.1007/s00382-023-06813-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00382-023-06813-8

Keywords

Navigation