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古季风多时间尺度演化的模拟研究综述

Review of Simulation Studies on the Multi-Timescale Evolution of Paleomonsoon

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【作者】 刘健; 孙炜毅; 宁亮; 严蜜; 马雅楠; 郝光耀; 答采薇; 张晓;

【Author】 LIU Jian;SUN Weiyi;NING Liang;YAN Mi;MA Yanan;HAO Guangyao;DA Caiwei;ZHANG Xiao;State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory for Virtual Geographic Environment of Ministry of Education/Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application;School of Geography, Nanjing Normal University;State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters;School of Atmospheric Sciences, Nanjing University of Information Science and Technology;

【通讯作者】 孙炜毅;

【机构】 南京师范大学气候系统预测与变化应对全国重点实验室/虚拟地理环境教育部重点实验室/江苏省地理信息资源开发与利用协同创新中心; 南京师范大学地理科学学院; 南京信息工程大学气候系统预测与变化应对全国重点实验室/气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心; 南京信息工程大学大气科学学院;

【摘要】 季风系统演变规律及其驱动机制是重要的前沿科学问题。地质历史时期为解析季风多尺度变率的关键控制因子提供了重要参考时段。前人主要基于古气候重建资料,围绕古季风多尺度变化进行了回顾和整理。近年来,随着地球系统模式的发展与应用,在古季风多尺度变化的时空特征和成因机制方面取得了重要进展,但对此还缺乏系统梳理和总结。为此,本文聚焦近几年基于古气候数值模拟的研究成果,针对晚第四纪以来轨道—千年—百年—年代际时间尺度全球季风变化的热点问题和最新进展进行系统梳理,尤其是针对中国的10万年周期问题、千—百年尺度季风气候突变问题和季风年代际变化与机制问题。在此基础上,本文提出了未来亟需加强的研究工作,包括针对跨时间尺度相互作用过程、季风系统突变的临界点问题及地球系统模拟、古气候同化和机器学习方法的发展与应用等方面。这对于深入理解全球季风多尺度变化规律、提高未来季风变化的预估能力具有理论和现实意义。

【Abstract】 The evolution patterns and driving mechanisms of monsoon systems are extensively studied. Geological records provide key insights into the dominant factors controlling multiscale monsoon variability. Previous studies have primarily reviewed paleomonsoon variations based on paleoclimate reconstructions. In recent years, the spatiotemporal characteristics and underlying mechanisms of multiscale paleomonsoon changes have been elucidated in detail owing to advances in Earth system modeling. However, systematic modeling studies on paleomonsoon multitimescale variability are lacking. Therefore, recent paleoclimate modeling studies are reviewed herein, and their key findings and advances in global monsoon variability across orbital, millennial, centennial, and decadal timescales since the late Quaternary are reported. Furthermore, future research priorities, including investigations into cross-timescale interactions, tipping points in monsoon systems, and the development and application of Earth system models, paleoclimate data assimilation, and machine learning methods, are highlighted. These efforts will facilitate a better understanding of global monsoon multiscale variability and improve the projections of future monsoon changes.

【基金】 国家自然科学基金项目42130604;国家重点研发计划项目2023YFF0804704;江苏省高校优势学科建设项目164320H116~~
  • 【文献出处】 大气科学 ,Chinese Journal of Atmospheric Sciences , 编辑部邮箱 ,2025年06期
  • 【分类号】P532
  • 【下载频次】12
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