2022
DOI: 10.1007/s00382-021-06112-0
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Decoding the dynamics of poleward shifting climate zones using aqua-planet model simulations

Abstract: Growing evidence indicates that the atmospheric and oceanic circulation experiences a systematic poleward shift in a warming climate. However, the complexity of the climate system, including the coupling between the ocean and the atmosphere, natural climate variability and land-sea distribution, tends to obfuscate the causal mechanism underlying the circulation shift. Here, using an idealised coupled aqua-planet model, we explore the mechanism of the shifting circulation, by isolating the contributing factors … Show more

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Cited by 15 publications
(14 citation statements)
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References 71 publications
(111 reference statements)
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“…2g, h ) and reinvigorated heat transport to the high latitudes 5 , 63 . Ekman transport converged surface warm waters to the subtropics 75 , lowering the ΔSST between the WPWP and the East China Sea (Fig. 2f ).…”
Section: Resultsmentioning
confidence: 98%
“…2g, h ) and reinvigorated heat transport to the high latitudes 5 , 63 . Ekman transport converged surface warm waters to the subtropics 75 , lowering the ΔSST between the WPWP and the East China Sea (Fig. 2f ).…”
Section: Resultsmentioning
confidence: 98%
“…The ocean-sea ice component of AWIESM1 is the first release of the Finite Element Sea Ice-Ocean Model (FESOM1.4), while AWIESM2 employs an upgraded version (FESOM2) that builds upon FESOM1.4 but with a dynamical core based on the finite volume formulation. Both model versions have been validated (Sidorenko et al 2015;Rackow et al 2018;Sidorenko et al 2019) and widely used in understanding the climate changes in the past (Yang et al 2022b;Lohmann et al 2020;Kageyama et al 2021b;Brierley et al 2020;Otto-Bliesner et al 2021;Renoult et al 2020), present and future (Yang et al 2020b(Yang et al , 2022aShi and Lohmann 2017). More details of the AWIESM1 and AWIESM2 components are described in the following sub-sections.…”
Section: A Model Descriptionmentioning
confidence: 99%
“…Thus, the outputs of GCMs have become an indispensable source of information to many sectors and research fields, most prominently for studying climate system dynamics (e.g. Dai and Deng, 2022;Yang et al, 2022), evolution of past climates (e.g. Otto-Bliesner et al, 2017) and climate change projections (e.g.…”
Section: Introductionmentioning
confidence: 99%