Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: new insights into data–model integration

Publication date

2024-06-05

Authors

Sun, Yong
Wu, Haibin
Ding, Lin
Chen, Lixin
Stepanek, Christian
Zhao, Yan
Tan, Ning
Su, Baohuang
Yuan, Xiayu
Zhang, Wenchao

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Supervisors

Document Type

Article

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Abstract

The mid-Piacenzian warm period (MPWP, ~3.264–3.025 Ma) has gained widespread interest due to its partial analogy with future climate. However, quantitative data–model comparison of East Asian Summer Monsoon (EASM) precipitation during the MPWP is relatively rare, especially due to problems in decoding the imprint of physical processes to climate signals in the records. In this study, pollen-based precipitation records are reconstructed and compared to the multi-model ensemble mean of the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2). We find spatially consistent precipitation increase in most simulations but a spatially divergent change in MPWP records. We reconcile proxy data and simulation by decomposing physical processes that control precipitation. Our results 1) reveal thermodynamic control of an overall enhancement of EASM precipitation and 2) highlight a distinct control of thermodynamic and dynamical processes on increases of tropical and subtropical EASM precipitation, reflecting the two pathways of water vapor supply that enhance EASM precipitation, respectively.

Keywords

Global and Planetary Change, Environmental Chemistry, Atmospheric Science, SDG 13 - Climate Action

Citation

Sun, Y, Wu, H, Ding, L, Chen, L, Stepanek, C, Zhao, Y, Tan, N, Su, B, Yuan, X, Zhang, W, Liu, B, Hunter, S, Haywood, A, Abe-Ouchi, A, Otto-Bliesner, B, Contoux, C, Lunt, D J, Dolan, A, Chandan, D, Lohmann, G, Dowsett, H, Tindall, J, Baatsen, M, Peltier, W R, Li, Q, Feng, R, Salzmann, U, Chan, W L, Zhang, Z, Williams, C J R & Ramstein, G 2024, 'Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian : new insights into data–model integration', npj Climate and Atmospheric Science, vol. 7, no. 1, 120. https://doi.org/10.1038/s41612-024-00668-4