Centuries of Monthly and 3-Hourly Global Ocean Wave Data for Past, Present, and Future Climate Research
摘要
Ocean surface waves are essential to navigation safety, coastal activities, and climate systems. Numerical simulations are still the primary methods used in wave climate research, especially in future climate change scenarios. Recently, First Institute of Oceanography-Earth System Model version 2.0 (FIO-ESM v2.0), a global climate model coupled with an ocean wave model, was carried out the Coupled Model Intercomparison Project phase 6 (CMIP6) experiments. Here, we present the global monthly-mean and 3-hourly instantaneous wave parameter dataset from the FIO-ESM v2.0 CMIP6 experiments, including 700-year piControl, 165-year historical, three 86-year future scenarios (ssp125, ssp245, and ssp585, respectively), and two 150-year climate sensitive experiments (1pctCO2 and abrupt-4xCO2) simulations. Historical results show that the model can capture the basic wave climate features under climate change. These unique centuries of global wave data are from a fully coupled system and can provide the community with a vital long-term data source for scientific and engineering applications, such as wave climate research, wave-related process studies and parameterizations, as well as coastal and near-shore industry designs. Measurement(s) spectrum peak wave period • zero-crossing wave period • wave • height • direction Technology Type(s) computational modeling technique Factor Type(s) time-variant • geographic location Sample Characteristic - Environment climate system • ocean Sample Characteristic - Location Earth (planet) Measurement(s) spectrum peak wave period • zero-crossing wave period • wave • height • direction Technology Type(s) computational modeling technique Factor Type(s) time-variant • geographic location Sample Characteristic - Environment climate system • ocean Sample Characteristic - Location Earth (planet) Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12479582
类型
出版物
Scientific Data
Authors
研究员
博导，物理海洋学博士，研究员，目前担任学术期刊Ocean Modelling执行编辑、Scientific Data编委、中国海洋学会海气相互作用专业委员会秘书长、CLIVAR 海洋模式发展组OMDP委员等。一直从事地球系统模式发展与应用等方面的研究，率先将海浪的非破碎垂向混合作用和对海气通量作用引入到气候模式中，揭示了小尺度海浪过程在大尺度气候系统中的重要作用及机制；开展了海洋数值模式基于国产处理器的高效并行算法、地球系统模式的负载均衡算法以及AI4ClimateModeling等研究，有效提升了模式计算效率；发展了两代耦合海浪的地球系统模式FIO-ESM，通过完善模式所包含的小尺度过程，有效减缓模拟偏差，提高模拟和预测能力；构建了短期气候预测系统FIO-CPS，在国家海洋环境预报中心、国家气候中心等多个国家级和地方业务中心应用。先后主持NSFC青年、面上、重点、优青、杰青以及重点研发计划项目等多个项目；先后入选自然资源部第一海洋研究所“束星北”青年学者、自然资源部高层次科技创新人才领军人才和第二人才梯队等。
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特聘研究员
研究员，自然资源部高层次科技创新人才工程“青年科技人才”、自然资源部第一海洋研究所束星北青年学者，是山东省自然科学基金杰出青年基金获得者。主要从事极地海洋学和极地气候变领域的研究工作，围绕北极气候变化，在气候变化机理研究、气候模式评估与改进和气候预测预估等方面取得了系列创新成果, 主要包括：研究揭示了北冰洋大西洋化进程中海-（冰）-气热通量在冰区与非冰区的相反变化规律，发现了“北冰洋放大”现象，阐明了北冰洋的快速变暖机制；系统评估了气候模式对北极海冰和北冰洋的模拟能力，量化了气候模式在北冰洋快速气候变化模拟中的共性偏差，改进提升了自主气候模式在北极的模拟能力；研发了北极海冰短期气候预测系统，构建了北冰洋动力降尺度数据集，成功应用于我国北极科考和北极航道商业航运的保障与规划。在《Nature Communications》、《Science Advances》、《Geophysical Research Letters》、和《Journal of Geophysical Research: Oceans》等期刊发表研究论文90余篇。
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