Can a global mean sea-level rise reduce the Last Interglacial model–data mismatch in East Asia?

The Last Interglacial (LIG), with its many reconstructions and simulations, provides an ideal analog for investigating our future warmer climate. However, there has been a persistent mismatch between simulated and reconstructed LIG climates in East Asia, with simulations generally indicating a colder and drier climate than reconstructions. In this study, utilizing the Norwegian Earth System Model (NorESM1-F), we investigated whether incorporating the global mean sea-level rise in LIG simulation experiments can reduce the model–data mismatch. Our new experiments reveal a discernible, yet insufficient, warming and wetting effect in East Asia resulting from the sea-level rise. Therefore, the model–data mismatch remains unresolved. Based on these results, we explore alternative factors that may contribute to this mismatch, offering insights for future studies.

Keyword(s)

Last Interglacial, Sea-level rise, Model-data mismatch

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Qian Zhiqi, Xu Tianao, Zhang Zhongshi, Huang Chunju (2023). Can a global mean sea-level rise reduce the Last Interglacial model–data mismatch in East Asia?. Atmospheric And Oceanic Science Letters. 16 (5). 100406 (8p.). https://doi.org/10.1016/j.aosl.2023.100406, https://archimer.ifremer.fr/doc/00849/96090/

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