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

IF 2.3 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric and Oceanic Science Letters Pub Date : 2023-09-01 DOI:10.1016/j.aosl.2023.100406
Zhiqi Qian , Tianao Xu , Zhongshi Zhang , Chunju Huang
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Abstract

The Last Interglacial (LIG), with its many reconstructions and simulations, provides an ideal analog for investigating the 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), the authors investigated whether incorporating the global mean sea-level rise in LIG simulation experiments can reduce the model–data mismatch. The 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, the authors explore alternative factors that may contribute to this mismatch, offering insights for future studies.

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全球平均海平面上升能否减少东亚末次间冰期模式数据的不匹配?
末次间冰期(LIG)的许多重建和模拟,为研究未来变暖的气候提供了理想的模拟。然而,东亚地区的模拟和重建LIG气候之间存在持续的不匹配,模拟气候通常比重建气候更冷、更干燥。本研究利用挪威地球系统模式(NorESM1-F),研究了在LIG模拟实验中纳入全球平均海平面上升是否可以减少模式数据的不匹配。新的实验揭示了海平面上升对东亚造成的明显但不充分的增温和湿润效应。因此,模型-数据不匹配仍然没有解决。基于这些结果,作者探索了可能导致这种不匹配的其他因素,为未来的研究提供了见解。
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来源期刊
Atmospheric and Oceanic Science Letters
Atmospheric and Oceanic Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.20
自引率
8.70%
发文量
925
审稿时长
12 weeks
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