Tropical Cyclone Biases in CMIP6 Simulations: Climatology and Seasonal Cycle
编号:484 访问权限:仅限参会人 更新:2024-10-12 11:06:04 浏览:181次 口头报告

报告开始:2025年01月17日 10:50(Asia/Shanghai)

报告时间:15min

所在会场:[S35] Session 35-Eddy Variability in the Ocean and Atmosphere: Dynamics, Parameterization and Prediction [S35-1] Eddy Variability in the Ocean and Atmosphere: Dynamics, Parameterization and Prediction

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摘要

Current coupled climate models contain large biases in simulating tropical cyclogenesis, reducing the confidence

in tropical cyclone (TC) projection. In this study, we investigated the influence of sea surface temperature (SST) biases

on TC genesis in the Coupled Model Intercomparison Project phase 6 simulations from 1979 to 2014. Positive TC genesis

biases were found over the tropical central North Pacific (CNP) in most of climate models, including the high-resolution models.

Compared to coupled models, TC genesis density (TCGD) simulations over CNP in uncoupled models forced by observational

SST improved obviously. A warm SST bias over the tropical CNP in the coupled models is the main cause of TC genesis

biases. The SST bias–induced diabatic heating leads to an anomalous Gill-type atmospheric circulation response, which contributes

to a series of favorable environmental conditions for TC formation over the CNP. Numerical experiments were also

performed with HiRAM to demonstrate the influence of SST biases on the TCGD simulation, further confirming our conclusion.

The current results highlight the importance of improving TC simulation in state-of-the-art climate models by reducing

SST simulation bias.

关键词
Tropical cyclone, CMIP6, Bias
报告人
Yi-Peng Guo
Associate Professor Nanjing University

稿件作者
Yi-Peng Guo Nanjing University
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重要日期
  • 会议日期

    01月13日

    2025

    01月17日

    2025

  • 09月27日 2024

    初稿截稿日期

  • 01月17日 2025

    注册截止日期

主办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
承办单位
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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