- 基本信息
- 个人简介
- 近期主要论著
- 近期科研项目
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姓 名: 罗京佳
国 籍: 澳大利亚
性 别: 男
职 称: 教授(国家特聘专家)
最高学历: 博士(物理海洋学)
所属系部: 数值预报系,气候与应用前沿研究院(ICAR)院长,智慧气象研究院院长
研究方向: 气候动力学以及气候模式开发、预测及其应用、海洋动力学
办公地点: 亚培楼303室
邮 箱: jjluo@nuist.edu.cn;jingjia_luo@hotmail.com
主要研究领域: 热带海气相互作用、气候变化机制、全球气候模式研发、气候预测及应用、人工智能
罗京佳,教授,博士生导师,未来技术学院学术院长,气候与应用前沿研究院和智慧气象前沿研究院院长,国家特聘教授,江苏省“双创人才”和“双创团队”领军,科技部重点研发计划首席科学家,入选气候变化领域全球最具影响力1000位科学家,入选斯坦福大学2022年度全球前2%顶尖科学家榜单。2001年毕业于日本东京大学,获得物理海洋学博士学位,先后在日本海洋研究开发机构和澳大利亚气象局任职工作,2018年全职回国工作,现兼任国际CLIVAR太平洋区域委员会委员、中科院地球环境研究所国家重点实验室学术委员等。长期从事热带气候年际-年代际变化、全球气候模式研发、气候预测理论和方法及应用、气候变化机制等研究。共发表学术论文200余篇,包括Nature及其子刊、Science、PNAS等国际顶级期刊,文章总引用数超过18000次,其中有30余篇文章的引用超过100次。荣获多项国内外奖励,包括日本海洋开发机构“研究功绩奖”和日本政府教育、科技、文化、体育部“青年科学家奖”(日本大气和海洋学科唯一获此殊荣的外籍学者)。据不完全统计,其研究成果被电视和报纸报道共100余次,包括中国、日本、印度、英国和澳大利亚的新闻报道。主持和参与了我国、日本和澳大利亚多个科研项目,曾多次担任美国、英国和荷兰国家级研究项目评审专家,是Nature,
Science, PNAS等30多个国际知名杂志审稿者,有着广泛的国际合作关系和影响力,与日本、澳大利亚、法国、德国、意大利、韩国、美国等众多著名科研机构保持长期的国际合作关系,例如,ICAR与日本海洋研究开发机构应用实验室(APL/JMASTEC)在气候和预测研究方面已签订长期合作协议,与Toshio
Yamagata院士团队紧密合作,每年派遣两位博士和一位年轻教师至日本海洋研究开发机构应用实验室进修学习。
个人主页:
https://so.cljtscd.com/citations?hl=zh-CN&user=WT6Zn94AAAAJ
受邀参加中央电视台《开讲啦》节目:
讲述极端天气频发的原因,揭开极端天气的奥秘。
播放网址:开讲啦 | 极端天气的奥秘 (yangshipin.cn)
相关新闻报导:特大暴雨!超长梅雨!极端天气时有发生!未来气候如何?专家解答→ (nuist.edu.cn)
主要研究成果:
1)从海气和中低纬相互作用角度首次发现南太平洋对厄尔尼诺年代际变化的重要影响,提出了ENSO准10年振荡的新机制。此成果获日本全球变化前沿研究中心2004年杰出研究奖。此成果突破了北太平洋影响ENSO年代际变化的传统观点,在国际上影响广泛,曾被CLIVAR和UNESCO所属IOC OOPC等国际研究组织多次引用,对于增进南太平洋的观测起了很大推进作用,得到CLIVAR西南太平洋大型国际观测项目的认可和重视,并作为其关键科学依据之一。
2)发展了有良好国际声誉的全球耦合海气环流模式(SINTEX-F模式),提出了考虑海表流场动量对提高气候模拟性能的作用。此成果被国际主要的气候模式开发中心所采纳,包括德国Max-Planck气象研究所、意大利CMCC、英国、美国、澳大利亚、日本等国家的研究机构和中国科学院大气所等,有力推动了CMIP5模式的发展和模拟性能的提高,文章被IPCC AR5报告第9章引用。此外,指出了CMIP5气候模式中的普遍误差对模拟太平洋和全球气候变化的影响,还进一步发展了一个更高精度的可模拟强热带气旋的全球气候模式,用于热带气旋的形成机理和可预测性研究。
3)研制了独特的准多模式集合预测方案,利用全球海气耦合模式首次将厄尔尼诺及其全球气候异常的预测提前到2年,而当时气候模式大多只能提供6个月左右的预报,受到世界气候研究项目季节预测小组的重视。对于进一步理解ENSO的物理机制及其可预测性和提高全球气候业务预测水平具有重要意义。该成果2010年获日本海洋研究开发机构“研究开发功绩奖”和2011年获日本政府教育、科技、文化、体育部“青年科学家奖”。
4)全球首次提前一年成功实时预报出2006年印度洋偶极子事件,并连续成功预报了2006、2007、2008年印度洋偶极子事件,引起了国际社会的广泛关注和报道。SINTEX-F模式逐月实时气候预报已成为许多国家业务预报中心(包括国家气候中心等)、研究机构、澳大利亚政府和农场主们的决策依据之一,并参加了韩国APEC Climate Center和美国IRI的多模式集合气候预测试验,同时还被放在美国哥伦比亚大学IRI数据库里作为其国际培训材料。
5)揭示了厄尔尼诺和印度洋偶极子之间的内在反馈机制及其预测意义,推动解决长期困扰国际学术界关于这两个气候模态是否相互独立的争论,同时发现印度洋偶极子对当年和次年的厄尔尼诺发生发展都有较大影响。
6)首次提出大洋间相互作用对全球变暖背景下热带太平洋气候变化以及全球增暖速率的影响。该方面成果在国际上的影响较大,文章被IPCC AR5报告第12章引用。
7)利用人工智能机器深度学习方法在厄尔尼诺-南方涛动(ENSO)预测研究领域取得重要进展。罗京佳教授与韩国科学家合作,利用人工智能机器深度学习方法将ENSO指数预测时效提前到一年半,并达到80%左右的预测准确率。而且可以预测海表温度异常的不同空间分布,对不同厄尔尼诺类型(东太平洋型、中太平洋型、混合型)预测也有较高的正确率,弥补了目前动力预测系统的不足。
8)已成功研制南信大气候预测系统(NUIST-CFS1.0),于2019年1月开始提供逐月滚动更新的未来2年的气候预测产品,定期参加国家气候中心、国家海洋环境预报中心、华东和东北区域气候预测会商,并给北京、华中和华南等区域气候中心提供实时预测信息。基于此季节-年际预测产品,将进一步深化与国内外科研机构的合作,与南信大自动化学院和海洋学院、清华大学、同济大学等单位合作利用机器深度学习和数据流归因分析等方法开展气候预测和机理研究,进行动力模式降尺度研究和人工智能模式偏差订正模型研发。
教育经历:
(1) 1997-10至2001-03, 日本东京大学, 地球行星科学系, 博士, 导师:Toshio Yamagata
(2) 1993-09至1996-06, 南京气象学院, 气象系, 硕士, 导师:何金海
工作经历:
(1) 2024-05至今, 南京信息工程大学, 未来技术学院, 教授, (学术)院长,气候与应用前沿研究院院长,智慧气象前沿研究院院长
(2)2018-07至2024-04, 南京信息工程大学, 大气科学学院, 教授, 气候与应用前沿研究院院长
(3) 2011-10至2018-07, 澳大利亚气象局, 天气-气候研究中心, 资深研究员
(4) 2008-04至2011-10, 日本海洋科技开发机构, 全球变化前沿研究中心, 主任研究员
(5) 2004-04至2008-03, 日本海洋科技开发机构, 全球变化前沿研究中心, 研究员
(6) 2001-04至2004-03, 日本海洋科技开发机构, 博士后, 导师:Toshio Yamagata
(7) 1996-09至1997-10, 南京气象学院, 气象系, 讲师
学术兼职:
国际CLIVAR太平洋区域委员会 委员,
国家气象人工智能技术委员会 委员,
中国海洋学会人工智能海洋学专业委员会 秘书长,
中科院地球环境研究所国家重点实验室 学术委员,
American Geophysical Union 会员,
the Oceanographic Society of Japan 会员,
气象学报(Journal of Meteorological Research)编委,
Advances in Atmospheric Sciences (AAS) 编辑,
Open Oceanography Journal 编委,
International Journal of Atmospheric Science 编委
Earth Science 编委,
Frontiers in Atmospheric Science 副主编,
Austin Journal of Earth Science 编委,
Science Publishing Group 编委,
Journal of Marine Science and Engineering 编委,
Victorian Life Sciences Computation Initiative 审委委员,
CAWCR and WfO Ocean Modelling Working Group 审委委员,
The Australian National Computational Merit Allocation Scheme (NCMAS) Committee 委员,
State Key Laboratory of Loess and Quaternary Geology, Chinese Academy of Science 第五、六届学术委员会海外成员,
Unified Model Maritime Continent Progress Evaluation Group 主席。
荣誉获奖:
2022年 入选斯坦福大学2022年度全球前2%顶尖科学家榜单
2021年5月 入选气候变化领域全球最具影响力1000名科学家(列第607位)
2019年 江苏省双创人才
2018年 国家重大人才计划
2011年4月 日本政府教育、科技、文化、体育部 青年科学家奖
2010年4月 日本海洋研究开发机构 研究开发功绩奖
2004年3月 日本海洋研究开发机构 全球变化前沿研究中心 杰出研究奖
1997年10月-2001年3月 日本文部省国费奖学金
1997年2月 中国科学院大气物理所“学笃风正”奖
2024年文章列表:
Shaolei Tang*, Zhiyuan Zhang, Jing-jia Luo*, 2024: Interdecadal change in the relationship between the South China late rainy season rainfall and equatorial Pacific SSTs. Environmental Research Letters, https://doi.org/10.1088/1748-9326/ad69a7(online)
Jiye Wu, Jing-Jia Luo, Takeshi Doi, Toshio Yamagata, Swadhin K Behera,2024: Revisiting the role of atmospheric initial signals in predicting ENSO. Journal of Climate, https://doi.org/10.1175/JCLI-D-23-0702.1(online)
Fenghua Ling, Zeyu Lu, Jing-Jia Luo*, Lei Bai*, Swadhin K Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, Toshio Yamagata, 2024: Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction. npj Climate and Atmospheric Science, 7 (1), 131.
Yi Zhang, Jiye Wu, Yongjun Zheng, Jing‐Jia Luo*, 2024: Impacts of Atmospheric Internal Variations on the Variability of Sea Surface Temperature Based on the Hydra‐SINTEX Model. Journal of Geophysical Research: Atmospheres 129 (9), e2023JD040325.
R Wang, J He, J-J Luo*, L Chen, 2024: Atlantic warming enhances the influence of Atlantic Niño on ENSO. Geophysical Research Letters, 51(8),e2023GL108013.
T Tang, L Qi, T Tozuka, JJ Luo, F Ling, L Luo, JH He, 2024: Emergent constraint on the projected central equatorial Pacific warming and northwestern Pacific monsoon trough change. Environmental Research Letters, 19(5), 054003.
X Xie, J Wu, J-J Luo, J Xu, H Yan, 2024: Modulation of Quasi-Biennial Oscillation on Wintertime Variability of Intraseasonal 2‐m Temperature Over Northern Eurasia and Its Potential Impact on Subseasonal Prediction in China. Geophysical Research Letters, 51(2), e2023GL106448.
T Tang, J He, H Sun, J-J Luo*, 2024: Impact of ocean data assimilation on the seasonal forecast of the 2014/15 marine heatwave in the Northeast Pacific Ocean. Atmospheric and Oceanic Science Letters, 100498, https://doi.org/10.1016/j.aosl.2024.100498
F Ling, L Ouyang, Larbi B R, J-J Luo*, T Han, X Zhong, L Bai, 2024: Is Artificial Intelligence Providing the Second Revolution for Weather Forecasting?. arXiv preprint arXiv:2401.16669.
T Gebremariam Asfaw and J-J Luo*, 2024: Downscaling seasonal precipitation forecasts over East Africa with deep convolutional neural networks. Advances in Atmospheric Sciences, 41(3), 449-464, https://doi.org/10.1007/10.1007/s00376-023-3029-2
Jing Ma, Haiming Xu, Changming Dong, Jing-Jia Luo, 2024: The Forecast Skills and Predictability Sources of Marine Heatwaves in the NUIST-CFS1. 0 Hindcasts. Advances in Atmospheric Sciences, 41 (8), 1589-1600.
Shu Fu, Wenyu Huang, Jingjia Luo, Dongqing Liu, Danyi Sun, Haohuan Fu, Yong Luo, Bin Wang, 2024: Deep learning improves GFS sea surface wind field forecast accuracy in the Northwest Pacific Ocean. Journal of Geophysical Research: Atmospheres 129 (13), e2024JD041188.
Aoqi Zhou, Chaoxia Yuan, Jing‐Jia Luo, Toshio Yamagata, 2024: Warming tropical Indian Ocean wets the Tibetan plateau. Geophysical Research Letters, 51 (13), e2024GL108989.
Pumeng Lyu, Tao Tang, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai, 2024: ResoNet: Robust and explainable ENSO forecasts with hybrid convolution and transformer networks. Advances in Atmospheric Sciences 41 (7), 1289-1298.
Zijie Guo, Pumeng Lyu, Fenghua Ling, Jing-Jia Luo, Niklas Boers, Wanli Ouyang, Lei Bai, 2024: ORCA: A Global Ocean Emulator for Multi-year to Decadal Predictions[J]. arXiv preprint arXiv:2405.15412.
Shuai-Lei Yao, Renguang Wu, Jing-Jia Luo, Wen Zhou, 2024: Competing impacts of tropical Pacific and Atlantic on Southern Ocean inter-decadal variability. npj Climate and Atmospheric Science 7 (1), 104.
Shixin Wang, Meng Gao, Xiang Xiao, Xiaodong Jiang, Jingjia Luo, 2024: Wasted efforts of elite Marathon runners under a warming climate primarily due to atmospheric oxygen reduction. npj Climate and Atmospheric Science 7 (1), 97.
Shixin Wang, Tiexi Chen, Jing-Jia Luo, Meng Gao, Hongchao Zuo, Fenghua Ling, Jianlin Hu, Chaoxia Yuan, Yuanjian Yang, Lina Wang, Huaming Huang, Naiang Wang, Yaojun Li, Toshio Yamagata, 2024: Warming climate is helping human beings run faster, jump higher and throw farther through less dense air. npj Climate and Atmospheric Science 7 (1), 94.
Shixin Wang, Tiexi Chen, Youyong Xie, Jing-Jia Luo, 2024: Different impacts of the variations of western and eastern portions of the East Asian westerly jet stream on southern China rainfalls in Meiyu season. Atmospheric Research 300, 107229.
H Lan, J Ma, H Xu, J Luo, 2024: Interdecadal Variations of ENSO Impacts over the Indo–Northwest Pacific Region and the Related Mechanisms. Journal of Meteorological Research 38 (2), 235-248.
D Jin, L Huo, Z Yan, JJ Luo, Z Wang, 2024: Enhanced influence of tropical Atlantic Sea surface temperature anomalies on east Asian summer monsoon since the late 1970s. Climate Dynamics, 1-13.
Ning Jiang, Congwen Zhu, Zeng-Zhen Hu, Michael J McPhaden, Deliang Chen, Boqi Liu, Shuangmei Ma, Yuhan Yan, Tianjun Zhou, Weihong Qian, Jingjia Luo, Xiuqun Yang, Fei Liu, Yuejian Zhu, 2024: Enhanced risk of record-breaking regional temperatures during the 2023–24 El Niño.Scientific Reports 14 (1), 2521.
R Zhang, C Wang, B Wang, Z Guan, L Wu, J Luo, 2024: Decadal prediction of location of tropical cyclone maximum intensity over the western North Pacific. Geophysical Research Letters 51 (4), e2023GL106746.
S Liu, C Yuan, S Behera, JJ Luo, T Yamagata, 2024: Indian Ocean Dipole changes during the Last Interglacial modulated by the mean oceanic climatology. Geophysical Research Letters 51 (1), e2023GL106153.
2023年文章列表:
J Wu, Y Li, J-J Luo*, Y Zhang, T Doi, T Yamagata, 2023: Prediction and predictability of boreal winter MJO using a multi-member subseasonal to seasonal forecast system of NUIST (NUIST CFS 1.1). Climate Dynamics, https://doi.org/10.1007/s00382-023-07047-4
J Wei, B Wang, J-J Luo*, C Li, C Yuan, 2023: Synoptic characteristics of heatwave events in Australia during austral summer of 1950/1951–2019/2020. International Journal of Climatology, 43(12), 5662-5680.
Shelly Jo Igpuara Ignacio-Reardon and Jing-jia Luo*, 2023: Evaluation of the Performance of CMIP6 Climate Models in Simulating Rainfall over the Philippines. Atmosphere, 14(9), 1459. https://doi.org/10.3390/atmos14091459
Jiaying He, Takeshi Doi, Swadhin Behera, Jing-Jia Luo*, Toshio Yamagata, 2023: Predictability of Extremely Pluvial Winters Over theYangtze-Huai River Basin in China. Journal of Geophysical Research-Atmosphere, 128, e2023JD039039. https://doi.org/10.1029/2023JD039039
Sinong Li, Huiping Yan, Jing-jia luo*, 2023: Seasonal Forecasts of Precipitation during the First Rainy Season in South China Based on NUIST-CFS1.0. Advances in Atmospheric Sciences, 40(10), 1895-1910. https://doi.org/10.1007/S00376-023-2318-0
Ke Peng, Jing-Jia Luo*, Yan Liu, 2023: Prediction of Seasonal Tropical Cyclone Activity in the NUIST-CFS1. 0 Forecast System. Advances in Atmospheric Sciences, 40(7), 1309-1325, . https://doi.org/10.1007/s00376-023-2213-8
S Yang, F Ling, Y Li, and J-J Luo, 2023: Improving seasonal prediction of summer precipitation in the middle-lower reaches of Yangtze River using a TUnet deep learning approach. Artificial Intelligence for the Earth Systems, 2 (2), 220078. https://doi.org/10.1175/AIES-D-22-0078.1.
Lin Ouyang, Fenghua Ling, Yue Li, Lei Bai, Jing-Jia Luo*, 2023: Wave forecast in the Atlantic Ocean using a double-stage ConvLSTM network. Atmospheric and Oceanic Science Letters, 100347. https://doi.org/10.1016/j.aosl.2023.100347
Ming Sun, Lin Chen, Tim Li, Jing‐Jia Luo, 2023: CNN‐Based ENSO Forecasts With a Focus on SSTA Zonal Pattern and Physical Interpretation[J]. Geophysical Research Letters, 50(20): e2023GL105175.
Chen, K., T. Han, J. Gong, L. Bai, F. Ling, J.-J. Luo, X. Chen, L. Ma, T. Zhang, R. Su, Y. Ci, B. Li, X. Yang and W. Ouyang. Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead. 2023, arXiv preprint arXiv: 2304.02948. https://arxiv.org/abs/2304.02948
Huidi Yang, Jian Rao*, Haohan Chen, Qian Lu, Jingjia Luo, 2023: Lagged Linkage between the Kara–Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models. Remote Sensing, 15 (8), 2111. https://doi.org/10.3390/rs15082111
Shanshan Liu, Chaoxia Yuan, Jing-jia Luo, Xiaofan Ma, Xuecheng Zhou, Toshio Yamagata, 2023: Weakening of the Indian Ocean Dipole in the mid-Holocene due to the mean oceanic climatology change. Journal of Climate, https://doi.org/10.1175/JCLI-D-22-0878.1
Chao Wang*, Meiling Fu, Bin Wang*, Liguang Wu, Jing‐Jia Luo, 2023: Pacific Decadal Oscillation modulates the relationship between Pacific Meridional Mode and tropical cyclone genesis in the western North Pacific. Geophysical Research Letters, 50 (5), e2022GL101710. https://doi.org/10.1029/2022GL101710
Yue Chen, Xiaomeng Huang*, Jing-Jia Luo, Yanluan Lin, Jonathon S Wright, Youyu Lu, Xingrong Chen, Hua Jiang, Pengfei Lin, 2023: Prediction of ENSO using multivariable deep learning. Atmospheric and Oceanic Science Letters, 100350. https://doi.org/10.1016/j.aosl.2023.100350
Jiuwei Zhao, Mi-Kyung Sung*, Jae-Heung Park, Jing-Jia Luo, Jong-Seong Kug*, 2023: Part II model support on a new mechanism for North Pacific Oscillation influence on ENSO. npj Climate and Atmospheric Science, 6(1), 16. https://doi.org/10.1038/s41612-023-00337-y
Jiuwei Zhao, Mi-Kyung Sung*, Jae-Heung Park, Jing-Jia Luo, Jong-Seong Kug*, 2023: Part I observational study on a new mechanism for North Pacific Oscillation influencing the tropics. npj Climate and Atmospheric Science, 6(1), 15. https://doi.org/10.1038/s41612-023-00336-z
Lin Chen, Yuqing Li, Zi-An Ge, Bo Lu, Lu Wang, Xiaojun Wei, Ming Sun, Ziyue Wang, Tim Li, Jing-Jia Luo, 2023: Causes of the Extreme Drought in Late Summer–Autumn 2019 in Eastern China and Its Future Risk. Journal of Climate, 36 (4), 1085-1104. https://doi.org/10.1175/JCLI-D-22-0305.1
Mingjie Wang, Chaoxia Yuan, Jingchan Liu, Yihua Wei, Jiye Wu, Jingjia Luo, 2023: Underestimated relationship between westerly wind bursts and ENSO in CMIP6 models. Atmospheric and Oceanic Science Letters, 100336, https://doi.org/10.1016/j.aosl.2023.100336
Jiaxin Ye, Chaoxia Yuan, Mengzhou Yang, Xinyu Lu, Jing-Jia Luo, Toshio Yamagata, 2023: Delayed Impacts of ENSO on the Frequency of Summer Extreme Hot Days in the Asian Monsoon Region. Part I: Observation, Historical Simulation and Future Projection in CMIP6 Models. Journal of Climate, 36(9), 3095–3112, https://doi.org/10.1175/JCLI-D-21-0667.1
Xinyu Lu, Chaoxia Yuan, Jing-Jia Luo, Toshio Yamagata, 2023: Delayed Impacts of ENSO on the Frequency of Summer Extreme Hot Day in the Asian Monsoon Region. Part II: Implication for Seasonal Prediction. Journal of Climate, 36(9), 3113–3127, https://doi.org/10.1175/JCLI-D-21-0668.1
Jian Rao, Chaim I Garfinkel, Tongwen Wu, Jing‐Jia Luo, Yixiong Lu, Min Chu, Qian Lu, 2023: Combined modes of the northern stratosphere, tropical oceans, and East Asian spring rainfall: A novel method to improve seasonal forecasts of precipitatio. Geophysical Research Letters, 50 (1), e2022GL101360. https://doi.org/10.1029/2022GL101360
2022年文章列表:
Fenghua Ling, Yue Li, Jing-Jia Luo*, Xiaohui Zhong, Zhibin Wang, 2022: Two deep learning-based bias-correction pathways improve summer precipitation prediction over China. Environmental Research Letters, 17 (12), 124025. https://doi.org/10.1088/1748-9326/aca68a
Ling, F., J.-J. Luo*(共同一作), Y. Li, T. Tang, L. Bai, W. Ouyang and Toshio Yamagata, 2022: Multi-task machine learning improves multiseasonal prediction of the Indian Ocean Dipole. Nature Communications, 13, 7681. https://doi.org/10.1038/s41467-022-35412-0
Xu, J., J.-J. Luo*, and C. Yuan, 2022: Tropical Indian Ocean warming contributes to Arctic warming. Geophysical Research Letters, 49(23), e2022GL101339. https://doi.org/10.1029/2022GL101339
He, J., J.-J. Luo*, T. Doi, S. Liu, S. Tang and X. Wang, 2022: Understanding extremely pluvial winters over Yangtze–Huia river basin in China: their complexity and tropical oceans influences. Climate Dynamics, 61, 687-707. https://doi.org/10.1007/s00382-022-06614-5
Chang, L., Y. Morioka, S. Behera, J.-J. Luo*, H. Xu, and B. Zhou, 2022: What Mainly Drives the Interannual Climate Variability Over the Barents-Kara Seas in Boreal Early Autumn? Journal of Geophysical Research-Atmosphere. 127(21), e2021JD036216. https://doi.org/10.1029/2021JD036216
Wei, J., Renlong Hang, Jing-Jia Luo*, 2022: Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks. Frontiers in Marine Science, 9, 860403. https://doi.org/10.3389/fmars.2022.860403
Hu, Y., X. Wang, J-J Luo*, D. Wang, H. Yan, C. Yuan, and X. Lin, 2022: Forecasts of MJO during DYNAMO in a Coupled Tropical Channel Model: Impact of Planetary Boundary Layer Schemes. Atmosphere, 13 (5), 666. https://doi.org/10.3390/atmos13050666
Hu, Y., X. Wang, J-J Luo*, D. Wang, H. Yan, C. Yuan, and X. Lin, 2022: Forecasts of MJO during DYNAMO in a coupled tropical channel model, Part I: Impact of parameterization schemes. International Journal of Climatology, 42(13), 6771-6792. https://doi.org/10.1002/joc.7610
Ying, W, H Yan, J-J Luo*, 2022: Seasonal Predictions of Summer Precipitation in the Middle-lower Reaches of the Yangtze River with Global and Regional Models Based on NUIST-CFS1.0. Advance in Atmospheric Sciences, 39(9), 1561-1578. https://doi.org/ 10.1007/s00376-022-1389-7
Tang, S, J-J Luo*, L Chen, Y Yu, 2022: Distinct Evolution of the SST Anomalies in the Far Eastern Pacific between the 1997/98 and 2015/16 Extreme El Niños. Advances in Atmospheric Sciences, 39, 927-942. https://doi.org/10.1007/s00376-021-1263-z
Li, Y., J Wu, J-J Luo*, Y-M Yang, 2022: Evaluating the Eastward Propagation of the MJO in CMIP5 and CMIP6 Models Based on a Variety of Diagnostics. Journal of Climate, 35 (6), 1719-1743. https://doi.org/10.1175/JCLI-D-21-0378.1
Wahiduzzaman, MD, KK Cheung, J-J Luo*, PK Bhaskaran, 2022: A spatial model for predicting North Indian Ocean tropical cyclone intensity: Role of sea surface temperature and tropical cyclone heat potential. Weather and Climate Extremes, 36, 100431, https://doi.org/10.1016/j.wace.2022.100431
孙惠杭, 王意国,罗京佳*,2022: 海洋资料同化对季节、年际预测技巧的影响试验[J]. 热带海洋学报. 41(3): 75-90. https://doi.org/10.11978/2021112
杨淑贤, 零丰华, 应武杉, 杨松, 罗京佳*, 2022: 人工智能技术气候预测应用简介[J]. 大气科学学报. 45(5), 641-659, https://doi.org/10.13878/j.cnki.dqkxxb.20210623003
Asfaw, TG, J-J Luo*, 2022: Seasonal Prediction of Summer Precipitation over East Africa Using NUIST-CFS1. 0. Advances in Atmospheric Sciences, 39(3), 355-372. https://doi.org/10.1007/s00376-021-1180-1
Wahiduzzaman, MD, K Cheung, J-J Luo*, et al., 2022: Impact assessment of Indian Ocean Dipole on the North Indian Ocean tropical cyclone prediction using a Statistical model. Climate Dynamics, 58,1275-1292. https://doi.org/10.1007/s00382-021-05960-0
欧立健,余锦华,钟校尧,张旭煜,王璐,罗京佳,2022:海表温度的增暖趋势和自然变率对长江中下游夏季极端降水强度的影响. 大气科学,46(6): 1595-1606. https://doi.org/10.3878/j.issn.1006-9895.2202.21221
SK Behera, A Cherchi, JJ Luo, A Kumar, 2022: The state of the art in climate predictions. Frontiers in Climate, 4, 1074938. https://doi.org/10.3389/fclim.2022.1074938
Ming Feng, Fabio Boschetti, Fenghua Ling, Xuebin Zhang, Jason Hartog, Mahmood Akhtar, Li Shi, Brint Gardner, Jing-Jia Luo, Alistair Hobday, 2022: Predictability of sea surface temperature anomalies at the eastern pole of the Indian Ocean Dipole—using a convolutional neural network model. Frontiers in Climate, 4, https://doi.org/10.3389/fclim.2022.92506
Danyi Sun, Wenyu Huang, Yong Luo, Jingjia Luo, Jonathon S Wright, Haohuan Fu, Bin Wang, 2022: A deep learning‐based bias correction method for predicting ocean surface waves in the Northwest Pacific Ocean. Geophysical Research Letters, 49, e2022GL100916. https://doi.org/10.1029/2022GL100916
J. Hu, X. Gao, R. Ren, J.-J. Luo, J. Deng, and H. Xu, 2022: On the relationship between the stratospheric quasi-biennial oscillation and summer precipitation in northern China. Geophysical Research Letters, 49(9), e2021GL097687. https://doi.org/10.1029/2021GL097687
Rao, J., Tongwen Wu, Chaim I Garfinkel, Jingjia Luo, Yixiong Lu, Min Chu, Jinggao Hu, 2022: Impact of the initial stratospheric polar vortex state on East Asian spring rainfall prediction in seasonal forecast models. Climate Dynamics, https://doi.org/10.1007/s00382-022-06551-3
Chen, L, Y. Li, Z.A. Ge, B. Lu, L. Wang, X. Wei, M. Sun, Z. Wang, T. Li, J.-J. Luo, 2022: Causes of the extreme drought in late summer-autumn 2019 over Eastern China and its future risk. Journal of Climate, 36(4), 1085-1104. https://doi.org/10.1175/JCLI-D-22-0305.1
Xue, J. , J.-J. Luo, W. Zhang, and T. Yamagata, 2022: ENSO-IOD inter-basin connection is controlled by the Atlantic Multidecadal Oscillation. Geophysical Research Letters, 49, e2022GL101571. https://doi.org/10.1029/2022GL101571
Xue, J., H Yang, J-J Luo, C Yuan, B Wang, T Yamagata, 2022: Ningaloo Niño/Niña in CMIP6 Models: Characteristics, Mechanisms, and Climate Impacts. Geophysical Research Letters, 49 (19), e2022GL099781. https://doi.org/10.1029/2022GL099781
Feng, Puyu , Bin Wang, Ian Macadam, Andréa S Taschetto, Nerilie J Abram, Jing-Jia Luo, Andrew D King, Yong Chen, Yi Li, De Li Liu, Qiang Yu, Kelin Hu, 2022: Increasing dominance of Indian Ocean variability impacts Australian wheat yields. Nature Food, 3 (10), 862-870. https://doi.org/10.1038/s43016-022-00613-9
Wang, C., B. Wang, L. Wu, J.-J. Luo, 2022: A see-saw variability in tropical cyclone genesis between the western North Pacific and the North Atlantic shaped by Atlantic multidecadal variability. Journal of Climate, 35(8), 2479-2489. https://doi.org/10.1175/JCLI-D-21-0529.1
M Zhang, D Jin*, X Wang, L Chen, J-J Luo, Z Wang, 2022: Seasonal transition of precedent Indian Ocean basin mode and subsequent Indian Ocean Dipole without El Niño–Southern Oscillation impact. International Journal of Climatology, 42(16), 9023-9031. https://doi.org/10.1002/joc.7793
Ruiqiang Ding, Yu‐Heng Tseng, Emanuele Di Lorenzo, Liang Shi, Jianping Li, Jin-Yi Yu, Chunzai Wang, Cheng Sun, Jing-Jia Luo, KyungJa Ha, Zeng-Zhen Hu & Feifei Li, 2022: Multi-year El Niño events tied to the North Pacific Oscillation. Nature communications,13 (1), 3871. https://doi.org/10.1038/s41467-022-31516-9
J Ma, H Xu, J-J Luo, S Chen, 2022: Impact of Tropical Atlantic SST Anomaly on ENSO in the NUIST‐CFS1.0 Hindcasts. International Journal of Climatology, 42(12), 6055-6071. https://doi.org/10.1002/joc.7577.
M Wahiduzzaman*, J-J Luo, 2022: Modeling of tropical cyclone activity over the North Indian Ocean using generalised additive model and machine learning techniques: Role of Boreal summer intraseasonal oscillation. Natural Hazards, 111 (2), 1801-1811. https://doi.org/10.1007/s11069-021-05116-7
L Zhang, J Zhao, JS Kug, X Geng, H Xu, J-J Luo, JH Park, R Zhan, 2022: Pacific Warming Pattern Diversity Modulated by Indo-Pacific Sea Surface Temperature Gradient. Geophysical Research Letter, 48 (23), e2021GL095516. https://doi.org/10.1029/2021GL095516
L Zhu, W Kang, W Li*, J-J Luo, Y Zhu, 2022: The optimal bias correction for daily extreme precipitation indices over the Yangtze-Huaihe River Basin, insight from BCC-CSM1.1-m. Atmospheric Research, 271, 106101. https://doi.org/10.1016/j.atmosres.2022.106101
W Li, Z Jiang, LZX Li, J-J Luo, P Zhai, 2022: Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models. Journal of Meteorological Research, 36 (1), 37-48. https://doi.org/10.1007/s13351-022-1112-8
MD Wahiduzzaman, MA Ali, K Cheung, J-J Luo, T Shaolei, PK Bhaskaran, et al., 2022: Impacts of aerosols and climate modes on tropical cyclone frequency over the North Indian Ocean: a statistical link approach. Journal of Climate, 35(8), 2549-2564. https://doi.org/10.1175/JCLI-D-21-0228.s1.
L Huo, J Wang, D Jin, J-J Luo, H Shen, X Zhang, J Min, Y Xiao, 2022: Increased summer electric power demand in Beijing driven by preceding spring tropical North Atlantic warming. Atmospheric and Oceanic Science Letters, 15 (1), 100146. https://doi.org/10.1016/j.aosl.2021.100146
H Wang, Y Dai, S Yang, T Li, J-J Luo, B Sun, M Duan, J Ma, Z Yin, Y Huang, 2022: Predicting climate anomalies: A real challenge. Atmospheric and Oceanic Science Letters, 15 (1), 100115. https://doi.org/10.1016/j.aosl.2021.100115
Bin Wang, Allan C Spessa, Puyu Feng, Xin Hou, Chao Yue, Jing-Jia Luo, Philippe Ciais, Cathy Waters, Annette Cowie, Rachael H Nolan, Tadas Nikonovas, Huidong Jin, Henry Walshaw, Jinghua Wei, Xiaowei Guo, De Li Liu, Qiang Yu, 2022: Extreme fire weather is the major driver of severe bushfires in southeast Australia. Science Bulletin, 67(6), 655-664. https://doi.org/10.1016/j.scib.2021.10.001
Wahiduzzaman, M., Cheung, K., Tang, S., & Luo, J. -J., 2022a: Influence of El Niño-Southern Oscillation on the long-term record of floods over Bangladesh. Theoretical and Applied Climatology, 147 (1), 173-184. https://doi.org/10.1007/s00704-021-03814-7
Wahiduzzaman, M., Ali, M., Luo, J. -J., Wang, Y., Uddin, M., Shahid, S., ... & Haque, M., 2022b: Effects of convective available potential energy, temperature and humidity on the variability of thunderstorm frequency over Bangladesh. Theoretical and Applied Climatology, 147 (1), 325-346. https://doi.org/10.1007/s00704-021-03833-4
2021年文章列表:
Tang, T, J.-J. Luo*(共同一作), K. Peng, L. Qi, and S. Tang, 2021: Over-projected pacific warming and extreme El niño frequency due to CMIP5 common biases. National Science Review, 8 (10), nwab056. https://doi.org/10.1093/nsr/nwab056
Tang, S, J-J Luo*, J He, J Wu, Y Zhou, and W Ying, 2021: Toward understanding the extreme floods over Yangtze River Valley in June-July 2020: Role of Tropical Oceans. Advances in Atmospheric Sciences, 38 (12), 2023-2039. https://doi.org/10.1007/s00376-021-1036-8
Xue, J., T. Doi, J.-J.* Luo , C. Yuan, and T. Yamagata , 2021: Predictability of the Chile Niño/Niña. Geophysical Research Letters, 48, e2021GL095309. https://doi.org/10.1029/2021GL095309
Wu, J, Y Li, J-J Luo*, X Jiang, 2021: Assessing the Role of Air–Sea Coupling in Predicting Madden–Julian Oscillation with an Atmosphere–Ocean Coupled Model. Journal of Climate, 34(24), 9647-9663. https://doi.org/10.1175/JCLI-D-20-0989.1
Chang, L, J.-J. Luo*, J Xue, H Xu, N Dunstone, 2021: Prediction of Arctic Temperature and Sea Ice Using a High-Resolution Coupled Model. Journal of Climate, 34 (8), 2905-2922. https://doi.org/10.1175/JCLI-D-20-0227.1
Liu, J, J-J Luo*, H Xu*, J Ma, J Deng, L Zhang, D Bi, and X Chen, 2021: Robust regional differences in marine heatwaves between transient and stabilization responses at 1.5°C global warming. Weather and Climate Extremes, 32, 100316. https://doi.org/10.1016/j.wace.2021.100316
Wei, J, Z Wang, M Gu, J-J Luo*, and Y Wang, 2021: An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models. Acta Oceanologica Sinica, 40 (1), 85-102. https://doi.org/10.1007/s13131-021-1705-6
Wahiduzzaman*, M, A Yeasmin, J-J Luo*, DA Quadir, A Van Amstel, K Cheung and Yuan C, 2021: Markov Chain Monte Carlo simulation and regression approach guided by El Niño–Southern Oscillation to model the tropical cyclone occurrence over the Bay of Bengal. Climate Dynamics, 56, 2693-2713. https://doi.org/10.1007/s00382-020-05610-x
Wahiduzzaman, M, and J-J Luo*, 2021: A statistical analysis on the contribution of El Niño–Southern Oscillation to the rainfall and temperature over Bangladesh. Meteorology and Atmospheric Physics, 133 (1), 55-68. https://doi.org/10.1007/s00703-020-00733-6
Scott Power, Matthieu Lengaigne, Antonietta Capotondi, Myriam Khodri, Jérôme Vialard, Beyrem Jebri, Eric Guilyardi, Shayne McGregor, Jong-Seong Kug, Matthew Newman, Michael J McPhaden, Gerald Meehl, Doug Smith, Julia Cole, Julien Emile-Geay, Daniel Vimont, Andrew T Wittenberg, Mat Collins, Geon-Il Kim, Wenju Cai, Yuko Okumura, Christine Chung, Kim M Cobb, François Delage, Yann Y Planton, Aaron Levine, Feng Zhu, Janet Sprintall, Emanuele Di Lorenzo, Xuebin Zhang, Jing-Jia Luo, Xiaopei Lin, Magdalena Balmaseda, Guojian Wang, Benjamin J Henley, 2021: Decadal climate variability in the tropical Pacific: Characteristics, causes, predictability, and prospects. Science, 374(6563): eaay9165. https://doi.org/10.1126/science.aay916
Howard J Diamond, Carl J Schreck III, Emily J Becker, Gerald D Bell, Eric S Blake, Stephanie Bond, Francis G Bringas, Suzana J Camargo, Lin Chen, Caio AS Coelho, Ricardo Domingues, Stanley B Goldenberg, Gustavo Goni, Nicolas Fauchereau, Michael S Halpert, Qiong He, Philip J Klotzbach, John A Knaff, Michelle L'Heureux, Chris W Landsea, I-I Lin, Andrew M Lorrey, Jing-Jia Luo, Kyle MacRitchie, Andrew D Magee, Ben Noll, Richard J Pasch, Alexandre B Pezza, Matthew Rosencrans, Michael K Tippet, Blair C Trewin, Ryan E Truchelut, Bin Wang, Hui Wang, Kimberly M Wood, John-Mark Woolley, Steven H Young, 2021: The Tropics[in “State of the Climate in 2020”]. Bulletin of the American Meteorological Society, 102(8): S199-S261. https://doi. org/10.1175/BAMS-D-21-0080.1
Wang, Ran, Lin Chen*, Tim Li, and Jing-Jia Luo, 2021: Atlantic Niño/Niña Prediction Skills in NMME Models. Atmosphere, 12(7), 803. https://doi.org/10.3390/atmos12070803
Li, W., Pan, R., Jiang, Z., Chen, Y., Li, L., Luo, J. -J., Zhai, P., Shen, Y. C., Yu, J., 2021: Future changes in the frequency of extreme droughts over China based on two large ensemble simulations. Journal of Climate, 14(34): 6023-6035. https://doi.org/10.1175/JCLI-D-20-0656.1
Zhou, Y, Yan H*, and J.-J. Luo, 2021: Impacts of Amazon Fire Aerosols on the Subseasonal Circulations of the Mid-High Latitudes. Frontiers in Earth Science, DOI: 10.3389/feart.2020.609554
SX Wang, HC Zuo, F Sun, LY Wu, Y Yin, J-J Luo, 2021: Dynamics of East Asian Spring Rainband and Spring–Autumn Contrast: Environmental Forcings of Large-Scale Circulation. Journal of Climate, 34 (9), 3523-3541. https://doi.org/10.1175/JCLI-D-20-0501.1
S Wang, Y Hou, S Zhou, H Zuo, F Sun, J-J Luo, 2021: Effect of circulation variation associated with East Asian jet on spring rainfall over North China and Yangtze-Huaihe River Valley. Atmospheric Research, 258, 105611. https://doi.org/10.1016/j.atmosres.2021.105611
X Lu, C Yuan, M Yang, T Doi, M Wahiduzzaman, J-J Luo, 2021: Prediction of Summer Extreme Hot Days in China Using the SINTEX-F2. International Journal of Climatology, https://doi.org/10.1002/joc.7110
H Yan, Z Zhu, B Wang, K Zhang, J-J Luo, Y Qian, Y Jiang, 2021: Tropical African wildfire aerosols trigger teleconnections over mid-to-high latitudes of Northern Hemisphere in January. Environmental Research Letters, 16(3), 034025. DOI: 10.1088/1748-9326/abe433
SK Behera, T Doi, JJ Luo, 2021: Air–sea interaction in tropical Pacific: The dynamics of El Niño/Southern Oscillation. Tropical and Extratropical Air-Sea Interactions, 61-92.
2020年文章列表:
Wahiduzzaman, M, A Yeasmin*, J-J Luo*, M A Ali, and Z Qiu, 2020a: Statistical approach to observe the atmospheric density variations using swarm satellite data. Atmosphere, 11(9), 897. https://doi.org/10.3390/atmos11090897
Wahiduzzaman*, M, ARM Islam, J-J Luo*, S Shahid, M Uddin, SM Shimul, and MA Sattar, 2020b: Trends and Variabilities of Thunderstorm Days over Bangladesh on the ENSO and IOD Timescales. Atmosphere, 11 (11), 1176. https://doi.org/10.3390/atmos11111176
Wahiduzzaman, M., A. Yeasmin, J.-J. Luo*, 2020: Seasonal movement prediction of tropical cyclone over the North Indian Ocean by using atmospheric climate variables in statistical models. Atmospheric Research, 245, 105089, https://doi.org/10.1016/j.atmosres.2020.105089
Wahiduzzaman, M, E. C. J. Oliver, S. J. Wotherspoon, and J-J Luo*, 2020: Seasonal forecasting of tropical cyclones in the North Indian Ocean region: The role of El Niño-Southern Oscillation. Climate Dynamics, 54, 1571-1589, https://doi.org/10.1007/s00382-019-05075-7
贺嘉樱,伍继业,罗京佳*,2020: 南京信息工程大学气候预测系统1.0版简介,大气科学学报,43 (1),128-143. https://doi.org/10.13878/j.cnki.dqkxxb.20191110007
Li, Y., A. Sen Gupta, A. S. Taschetto, N. C. Jourdain, A. Di Luca, J. M. Done, and J.-J. Luo*, 2020: Assessing the role of the ocean-atmosphere coupling frequency in the western Maritime Continent rainfall. Climate Dynamics, 54, 4935-4952. https://doi.org/10.1007/s00382-020-05266-7
Xue, J., J.-J. Luo*, C. Yuan, and T. Yamagata, 2020: Discovery of Chile Niño/Niña. Geophysical Research Letters, 47, 5: e2019GL086468. https://doi.org/10.1029/2019GL086468
Akter, N., Md Wahiduzzaman*, A. Yeasmin, K. Saiful Islam, and J.-J. Luo*, 2020: Spatial modelling of bacterial diversity over the selected regions in Bangladesh by next-generation sequencing: Role of water temperature. Applied Sciences, 10, 2537. https://doi.org/10.3390/app10072537
Chen, L., J. -J Luo, and A. D. Magee, 2020: Indian Ocean dipole [in “State of the Climate in 2019"]. Bulletin of the American Meteorological Society, 101 (8), S229–S232, https://doi.org/10.1175/BAMS-D-20-0077.1
Wen, Na; Li, Laurent; Luo, Jing-Jia; 2020: Direct impacts of different types of El Nino in developing summer on East Asian precipitation. Climate Dynamics, 55, 1087-1104. https://doi.org/10.1007/s00382-020-05315-1
Feng, P., B. Wang, J.-J. Luo, D. L. Liu, C. Waters, F. Ji, H. Ruan, D. Xiao, L. Shi, and Q. Yu, 2020: Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2020.138162
Ren, H.-L., F. Zheng, J.-J. Luo, R. Wang, M. Liu, W. Zhang, T. Zhou, and G. Zhou, 2020: A review of research on tropical air–sea interaction, ENSO dynamics and prediction in China. Journal of Meteorological Research, 34(1), 43-62, doi: 10.1007/s13351-020-9155-1
H Yan, Z Zhu, K Zhang, J-J Luo, Y Qian, Y Jiang, 2020: Tropical African wildfire aerosols Trigger Teleconnections in the mid-high latitude of Northern Hemisphere in Boreal Winter. Earth and Space Science Open Archive, https://doi.org/10.1002/essoar.10503151.1
Debra Hudson, Oscar Alves, Harry H Hendon, Eun-Pa Lim, Guoqiang Liu, Jing-Jia Luo, Craig MacLachlan, Andrew G Marshall, Li Shi, Guomin Wang, Robin Wedd, Griffith Young, Mei Zhao, Xiaobing Zhou, 2020: Corrigendum to: ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth Systems Science, 70 (1), 393-393. https://doi.org/10.1071/ES17009_CO
何金海,徐海明,王黎娟,祁莉,朱志伟,马静,罗京佳,2020: 南京信息工程大学季风研究若干重要进展回顾———明德格物一甲子,科教融合六十载.大气科学学报,43( 5) : 768-784.
2019年文章列表:
Hu, L., J.-J. Luo*, G. Huang*, and M. C. Wheeler, 2019: Synoptic features responsible for Heat waves in Central-Africa, a region with strong multi-decadal trend. Journal of Climate, 32 (22), 7951-7970. https://doi.org/10.1175/JCLI-D-18-0807.1
Zhang, C., J.-J. Luo*, and S. Li, 2019: Impacts of tropical Indian and Atlantic Ocean warming on the occurrence of the 2017/18 La Niña. Geophysical Research Letters, https://doi.org/10.1029/2019GL082280
Ham, Y.-G., J.-H. Kim, and J.-J. Luo, 2019: Deep Learning for multi-year ENSO forecasts. Nature, 573, 568–572, https://doi.org/10.1038/s41586-019-1559-7
Cai, W., L. Wu, M. Lengaigne, T. Li, S. McGregor, J.-S. Kug, J.-Y. Yu, M. F. Stuecker, A. Santoso, X. Li, Y.-G. Ham, Y. Chikamoto, B. Ng, M. J. McPhaden, Y. Du, D. Dommenget, F. Jia, J. B. Kajtar, N. Keenlyside, X. Lin, J.-J. Luo, M. Martín-Rey, Y. Ruprich-Robert, G. Wang, S.-P. Xie, Y. Yang, S. M. Kang, J.-Y. Choi, B. Gan, G.-Il Kim, C.-E. Kim, S. Kim, J.-H. Kim, P. Chang, 2019: Pan-tropical climate interactions. Science, 363, eaav4236. DOI: 10.1126/science.aav4236
Liu, J., H. Xu, J.-J. Luo, and J. Deng, 2019: Distinctive evolutions of Eurasian warming and extreme events before and after global warming would stabilize at 1.5℃. Earth's Future. 7. DOI: 10.1029/2018EF001093.
Santoso, A., H. Hendon, A. Watkins, S. Power, D. Dommenget, M. England, L. Frankcombe, N. Holbrook, R. Holmes, P. Hope, E.-P. Lim, J.-J. Luo, S. McGregor, S. Neske, H. Nguyen, A. Pepler, H. Rashid, A. S. Gupta, A. S. Taschetto, G. Wang, E. Abellán, A. Sullivan, M. Huguenin, F. Gamble, and F. Delage, 2019: Dynamics and predictability of the El Niño-Southern Oscillation: An Australian perspective on progress and challenges. Bulletin of the American Meteorological Society, https://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-18-0057.1.
Yuan, C., J. Liu, J.-J. Luo, and Z. Guan, 2019: Influences of tropical Indian and Pacific oceans on the interannual variations of precipitation in the early and late rainy seasons in South China. Journal of Climate, 32 (12), 3681-3694, doi:10.1175/JCLI-D-18-0588.1
Chen, L., and J.-J. Luo, 2019: [Tropics] Indian Ocean Dipole [in “State of the climate in 2018”]. Bulletin of the American Meteorological Society, 100, s138-s140. https://doi.org/10.1175/2019BAMSStateoftheClimate.1
2018年文章列表:
Timmerman, A., S.-I. An, J.-S. Kug, F.-F. Jin, W. Cai, A. Capotondi, K. Cobb, M. Lengaigne, M. J. McPhaden, M. F., Stuecker, K. Stein , A. T. Wittenberg, K.-S. Yun, T. Bayr, H.-C. Chen, Y. Chikamoto, B. Dewitte, D. Dommenget, P. Grothe, E. Guilyardi, Y.-G. Ham, M. Hayashi, S. Ineson, D. Kang, S. Kim, W. Kim, J.-Y. Lee, T. Li, J.-J. Luo, S. McGregor , Y. Planton, S. Power, H. Rashid, H.-L. Ren, A. Santoso, K. Takahashi, A. Todd, G. Wang, G. Wang, R. Xie, W.-H. Yang, S.-W. Yeh, J. Yoon, E. Zeller, X. Zhang, 2018: El Niño-Southern Oscillation Complexity. Nature, 559, 535-545.
Luo, J.-J., 2018: [Tropics] Indian Ocean Dipole [in “State of the climate in 2017”]. Bull. Am. Meteor. Soc., 99 (8), S132-S135.
Hudson, D., Alves, O., Hendon, H.H., Lim, E., Liu, G., Luo, J.-J., MacLachlan, C., Marshall, A.G., Shi, L., Wang, G., Wedd, R., Young, G., Zhao, M., Zhou X. 2018: ACCESS-S1: The new Bureau of Meteorology multi-week to seasonal prediction system. Journal of Southern Hemisphere Earth Systems Science, 67:3 132-159 doi: 10.22499/3.6703.001.
Li, C., J.-J. Luo*, S.-L. Li, O. Alves, H. Hendon, and C. MacLachlan, 2018: Multi-model prediction skill of the Somali and Maritime Continent cross-equatorial flows. J. Climate, 31 (6), 2445-2464.
Luo, J.-J., G. Wang, and D. Dommenget, 2018: May common model biases reduce CMIP5’s ability to simulate the recent Pacific La Niña-like cooling? Climate Dynamics, 50, 1335-1351, DOI: 10.1007/s00382-017-3688-8, https://link.springer.com/article/10.1007/s00382-017-3688-8.
2017年文章列表:
Yao, S.-L., J.-J. Luo*, G. Huang, and P. Wang, 2017: Distinct global warming rates tied to multiple ocean surface temperature changes. Nature Climate change, 7, 486–491, doi:10.1038/nclimate3304.
Zhu, F., C. Lan, Y. Zhang, J.-J. Luo, D. P. Lettenmaier, Y. Lin, and Z. Liu, 2017: Spatiotemporal variation of annual shallow soil temperature on the Tibetan Plateau during 1983–2013. Climate Dynamics, https://doi.org/10.1007/s00382-017-4008-z.
Luo, J.-J., 2017: [Tropics] Indian Ocean Dipole [in “State of the climate in 2016”]. Bull. Am. Meteor. Soc., 98 (8), S126-S128.
Luo, J.-J., G. Liu, H. Hendon, O. Alves, and T. Yamagata, 2017: Inter-basin sources for two-year predictability of the multi-year La Niña event in 2010-2012. Scientific Reports, 7 (1), 2276, doi:10.1038/s41598-017-01479-9.
Li, C., J.-J. Luo*, and S.-L. Li, 2017: Impacts of different types of ENSO on the interannual seesaw between the Somali and the Maritime Continent cross-equatorial flows. J. Climate, DOI: http://dx.doi.org/10.1175/JCLI-D-16-0521.1.
2016年文章列表:
Luo, J.-J., 2016: [Tropics] Indian Ocean Dipole [in “State of the climate in 2015”]. Bull. Am. Meteor. Soc., 97, s124-s126
Sullivan, A., J.-J. Luo*, A. C. Hirst, D. Bi, W. Cai, and J. He, 2016: Robust contribution of decadal anomalies to the frequency of central-Pacific El Niño. Scientific Reports 6, 38540, doi:10.1038/srep38540.
Haarsma, R., M. Roberts, P. L. Vidale, C. Senior, A. Bellucci, S. Corti, N. Fuckar, V. Guemas, J. von Hardenberg, W. Hazeleger, C. Kodama, T. Koenigk, R. Leung, J. Lu, J.-J. Luo, J. Mao, M. Mizielinsky, R. Mizuta, P. Nobre, M. Satoh, E. Scoccimarro, T. Semmler, J. Small, and J.-S. von Storch, 2016: High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6. submitted to Special Issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental Design and Organization, Geoscientific Model Development, 9, 4185–4208, 2016, doi:10.5194/gmd-9-4185-2016.
Yao, S., J.-J. Luo, and G. Huang, 2016: Internal variability-generated uncertainty in East Asian climate projections estimated with 40 CCSM3 ensembles. PLOS ONE, 11, e0149968, DOI: 10.1371/journal.pone.0149968.
Luo, J.-J., J.-Y. Lee, C. Yuan, W. Sasaki, S. Masson, S. Behera, Y. Masumoto, and T. Yamagata, 2016: Current status of intraseasonal-seasonal-to-interannual prediction of the Indo-Pacific climate. Chapter 3 in Indo-Pacific Climate Variability and Predictability (eds. Yamagata, T. and S. Behera), World Scientific Series on Asia-Pacific Weather and Climate, Vol 7, the World Scientific Publisher, pp 63-107, http://www.worldscientific.com/worldscibooks/10.1142/9664.
Iizumi, T., H. Sakuma, M. Yokozawa, H. Sakuma, J.-J. Luo, A. J. Challinor, G. Sakurai, and T. Yamagata, 2016: Characterizing the reliability of global crop prediction based on seasonal climate forecasts. Chapter 10 in Indo-Pacific Climate Variability and Predictability (eds. Yamagata, T. and S. Behera), World Scientific Series on Asia-Pacific Weather and Climate, Vol 7, the World Scientific Publisher, pp 281-304, doi: 10.1142/9789814696623_0010.
Hidayat, R., K. Ando, Y. Masumoto, and J.-J. Luo, 2016: Interannual Variability of Rainfall over Indonesia: Impacts of ENSO and IOD and Their Predictability. IOP Conference Series: Earth and Environmental Science, 31 (1), doi:10.1088/1755-1315/31/1/012043.
2015年文章列表:
Hendon, H. H., M. Zhao, A. Marshall, E.-P. Lim, J-J. Luo, O. Alves, and C. MacLachlan, 2015: Comparison of GLOSEA5 and POAMA2.4 Hindcasts 1996-2009. Bureau Research Report No. 011, Dec 2015.
Zhou, X., J.-J. Luo, O. Alves and H. Hendon, 2015: Comparison of GloSea5 and POAMA2.4 Hindcasts 1996-2009: Ocean Focus. Bureau Research Report No. 010, Dec 2015.
Luo, J.-J., 2015: [Tropics] Indian Ocean Dipole [in “State of the climate in 2014”]. Bull. Am. Meteor. Soc., 96, s124-s126.
Chikamoto, Y., A. Timmermann, J.-J. Luo, T. Mochizuki, M. Kimoto, M. Watanabe, M. Ishii; S.-P. Xie, and F.-F. Jin, 2015: Skillful multi-year predictions of tropical trans-basin climate variability. Nature Communications, 6, doi: 10.1038/ncomms7869, published online.
Rotstayn, L., C. Mark, and Luo J.-J., 2015: Effects of declining aerosols on projections of zonally averaged tropical precipitation. Environ. Res. Lett., 10 (4), doi:10.1088/1748-9326/10/4/044018.
Chowdary, J. S., A. B. Bandgar, C. Gnanaseelan, and J.-J. Luo, 2015: Role of tropical Indian Ocean air-sea interactions in modulating Indian summer monsoon in a coupled model. Atmospheric Science Letters, 16 (2), 170-176, DOI: 10.1002/asl2.561.
2014年文章列表:
Iizumi, T., J.-J. Luo, A. J. Challinor, G. Sakurai, M. Yokozawa, H. Sakuma, M. E. Brown, and T. Yamagata, 2014: Impacts of ENSO on the global yields of major crops. Nature Communications, 5, DOI:10.1038/ncomms4712, published online.
Chakravorty, S., C. Gnanaseelan, J. S. Chowdary, and J.-J. Luo, 2014: Relative role of El Niño and IOD forcing on the southern tropical Indian Ocean Rossby waves. JGR-Oceans, 119 (8), 5105-5122, DOI:10.1002/2013JC009713.
Rotstayn, L., E. Plymin, M. Collier, O. Boucher, J.-L. Dufresne, J.-J. Luo, K. von Salzen, S. Jeffrey, M.-Al. Foujols, Y. Ming, L. Horowitz, 2014: Declining aerosols in CMIP5 projections: effects on atmospheric temperature structure and midlatitude jets. J. Climate, 27, 6960–6977, doi: http://dx.doi.org/10.1175/JCLI-D-14-00258.1.
Luo, J.-J., 2014: [Tropics] Indian Ocean Dipole [in “State of the climate in 2013”]. Bull. Am. Meteor. Soc., 95, S109-S111.
Malherbe, J., W. A. Landman, C. Oliver, H. Sakuma, and J.-J. Luo, 2014: Seasonal forecasts of the SINTEX-F coupled model applied to maize yield and streamflow estimates over north-eastern South Africa. Meteorological Applications, 21, 733-742, DOI: 10.1002/met.1402.
Nair, A., U. C. Mohanty, A. W. Robertson, T.C. Panda, J.-J. Luo, and T. Yamagata, 2014: An analytical study of hindcasts from general circulation models for Indian summer monsoon rainfall. Meteorological Applications, 21, 695-707, DOI: 10.1002/met.1395.
Chowdary, J. S., J.-Y. Lee, Y. Kosaka, J.-J. Luo, C. Gnanaseelan, 2014: Seasonal anomalies prediction in the summer 2010 over the tropical Indian Ocean and South Asia. J. Meteor. Soc. Jpn., 92, 1-16, DOI:10.2151/jmsj.2014-101.
Yuan, C., T. Tozuka, J.-J. Luo, and T. Yamagata, 2014: Predictability of the subtropical dipole modes in a coupled ocean-atmosphere model. Climate Dynamics, 42, 1291-1308, DOI 10.1007/s00382-013-1704-1.
Izumo, T. M. Lengaigne, J. Vialard, J.-J. Luo, T. Yamagata, and G. Madec, 2014: Influence of Indian Ocean Dipole and Pacific recharge on following year’s El Nino: interdecadal robustness. Climate Dynamics, 42, 291-310, DOI 10.1007/s00382-012-1628-1.
Jia, X.-L., L.-J. Chen, and J.-J. Luo, 2014: Climate prediction experiment for tropical cyclone genesis frequency using the large-scale circulation forecast by a coupled global circulation model. J. Tropical Meteorology, 20 (2), 103-111.
2013年文章列表:
Rotstayn L. D., M. A. Collier, A. Chrastansky, S. J. Jeffrey, and J.-J. Luo, 2013: Projected effects of declining aerosols in RCP4.5: Unmasking global warming? Atmos. Chem. Phys., 13, 10883–10905, doi:10.5194/acp-13-10883-2013.
Iizumi, T., H. Sakuma, M. Yokozawa, J.-J. Luo, A. J. Challinor, M. E. Brown, G. Sakurai, and T. Yamagata, 2013: Prediction of seasonal climate-induced variations in global food production. Nature Climate Change, 3, 904-908, DOI: 10.1038/NCLIMATE1945, featured.
Ratnam, J. V., S. K. Behera, S. B. Ratna, H. Rautenbach, C. Lennard, J.-J. Luo, Y. Masumoto, K. Takahashi, and T. Yamagata, 2013: Dynamical downscaling of austral summer climate forecasts over southern Africa using a simple regional coupled model. Journal of Climate, 26, 6015-6032, doi: http://dx.doi.org/10.1175/JCLI-D-12-00645.1.
Luo, J.-J., 2013: [Tropics] Indian Ocean Dipole [in “State of the climate in 2012”]. Bull. Am. Meteor. Soc., 94(8), S105-S108.
Liu, P., T. Li, B. Wang, M. Zhang, J.-J. Luo, Y. Masumoto, K. R. Sperber, X. Wang, and E. Roeckner, 2013: MJO change with A1B global warming estimated by the 40-km ECHAM5. Climate Dynamics, 41, 1009-1023, DOI 10.1007/s00382-012-1532-8.
Sasaki, W., K. J. Richards, and J.-J. Luo, 2013: Impact of vertical mixing induced by small vertical scale structures above and within the equatorial thermocline on the tropical Pacific in a CGCM. Climate Dynamics, 41, 443–453, DOI 10.1007/s00382-012-1593-8.
Nagura, M., W. Sasaki, T. Tozuka, J.-J. Luo, S. K. Behera, and T. Yamagata, 2013: Longitudinal biases in the Seychelles Dome simulated by 35 ocean-atmosphere coupled general circulation models. J. Geophys. Res. Oceans, 188, 1–16, doi:10.1029/2012JC008352.
2012年文章列表:
Sasaki, W., K. J. Richards, and J.-J. Luo, 2012: Role of vertical mixing originating from small vertical scale structures above and within the equatorial thermocline in an OGCM. Ocean modelling, 57-58, 29-42, doi:10.1016/j.ocemod.2012.09.002.
Shi, L., H. H. Hendon, O. Alves, J.-J. Luo, M. Balmaseda, and D. Anderson, 2012: How predictable is the Indian Ocean Dipole? Mon. Wea. Rev., 140, 3867-3884.
Luo, J.-J., W. Sasaki, and Y. Masumoto, 2012: Indian Ocean warming modulates Pacific climate change. PNAS,109, 18701-18706, www.pnas.org/cgi/doi/10.1073/pnas.1210239109.
Morioka, Y., T. Tozuka, S. Masson, P. Terray, J.-J. Luo, and T. Yamagata, 2012: Subtropical dipole modes simulated in a coupled general circulation model. J. Climate, 25(12), 4029-4047.
Sasaki, W., J.-J. Luo, and S. Masson, 2012: Tropical cyclone simulation in a high-resolution atmosphere-ocean coupled general circulation model, Chapter 9 in Cyclones: Formation, Triggers and Control, edited by K. Oouchi and H. Fudeyasu, Nova Science Publishers, Hauppauge, New York, pp. 197-220.
Masson, S., P. Terray, G. Madec, J.-J. Luo, T. Yamagata, and K. Takahashi, 2012: Impact of intra-daily SST variability on ENSO characteristics in a coupled model. Climate Dynamics, 39, 681-707, DOI 10.1007/s00382-011-1247-2.
Terray, P., K. Kakitha, S. Masson, G. Madec, A. K. Sahai, J.-J. Luo, and Toshio Yamagata, 2012: The role of the intra-daily SST variability in the Indian Monsoon variability and monsoon-ENSO-IOD relationships in a global coupled model. Climate Dynamics, 39, 729-754, DOI 10.1007/s00382-011-1240-9.
Jeong, H.-I., D. Y. Lee, K. Ashok, J.-B. Ahn, J.-Y. Lee, J.-J. Luo, J.-K. E. Schemm, H. Hendon, K. Braganza, and Y.-G. Ham, 2012: Assessment of the APCC coupled MME suite in predicting the distinctive climate impacts of two flavors of ENSO during boreal winter. Climate Dynamics, 39, 475–493, DOI 10.1007/s00382-012-1359-3.
Luo, J.-J., 2012: [Tropics] Indian Ocean Dipole [in “State of the climate in 2011”]. Bull. Am. Meteor. Soc., 93 (7), S121-S123.
Joseph, S., A. K. Sahai, B. N. Goswami, P. Terray, S. Masson, and J.-J. Luo, 2012: Possible role of warm SST bias in the simulation of boreal summer monsoon in SINTEX-F2 coupled model. Climate Dynamics, 38, 1561-1576, DOI 10.1007/s00382-011-1264-1.
Kulkarni, M. A., N. Acharya, S. C. Kar, U. C. Mohanty, M. K. Tippett, A. W. Robertson, J.-J. Luo, and T. Yamagata, 2012: Probabilistic prediction of Indian summer monsoon rainfall using global climate models. Theoretical and Applied Climatology, 107, 441-450.
Hsu, P.-C., T. Li, J.-J. Luo, H. Murakami, A. Kitoh, and M. Zhao, 2012: Increase of global monsoon area and precipitation under global warming: A robust signal? Geophys. Res. Lett., 39, L06701,doi:10.1029/2012GL051037.
2011年文章列表:
Lin, A., T. Li, X. Fu, J.-J. Luo, and Y. Masumoto, 2011: Effects of air-sea coupling on the boreal summer intraseasonal oscillations over the tropical Indian Ocean. Climate Dynamics, 37, 2303-2322, DOI 10.1007/s00382-010-0943-7.
Luo, J.-J., 2011: Ocean dynamics not required? Nature, 477, 544-546.
Ajayamohan, R. S., H. Annamalai, J.-J. Luo, J. Hafner, and T. Yamagata, 2011: Poleward propagation of boreal summer intraseasonal oscillations: role of internal processes. Climate Dynamics, 37, 851–867, DOI 10.1007/s00382-010-0839-6.
An, Z., S. Clemens, J. Shen, X. Qiang, Z. Jin, Y. Sun, W. Prell, J.-J. Luo, S. Wang, H. Xu, Y. Cai, W. Zhou, W. Liu, Z. Shi, L. Yan, X. Xiao, H. Chang, F. Wu, L. Ai, and F. Lu, 2011: Glacial-interglacial Indian summer monsoon dynamics. Science, 333, 719-723.
Luo, J.-J., 2011: Indian Ocean Dipole [in “State of the climate in 2010”]. Bull. Am. Meteor. Soc., 92, S138-S140.
Luo, J.-J., S. Behera, Y. Masumoto, and T. Yamagata, 2011: Impact of global ocean surface warming on seasonal-to-interannual climate prediction. J. Climate, 24, 1626-1646.
Feng, L., T. Zhou, B. Wu, T. Li, and J.-J. Luo, 2011: Projection of future precipitation change over China with a high-resolution global atmospheric model. Adv. Atmos. Sci., 28, 464-476.
Chowdary, J. S., S.-P. Xie, J.-J. Luo, J. Hafner, S. Behera,Y. Masumoto, and T. Yamagata, 2011: Predictability of Northwest Pacific climate during summer and the role of the Tropical Indian Ocean. Climate Dynamics, 36, 607-621.
2010年文章列表:
Li, T., M. Kwon, M. Zhao, J.-S. Kug, J.-J. Luo, and W. Yu, 2010: Global warming shifts Pacific tropical cyclone location. Geophys. Res. Lett., 37, L21804, doi:10.1029/2010GL045124.
Lee, J.-Y., B. Wang, I.-S. Kang, J. Shukla, A. Kumar, J.-S. Kug, J. K. E. Schemm, J.-J. Luo, T. Yamagata, X. Fu, O. Alves, B. Stern, T. Rosati, and C.-K. Park, 2010: How are seasonal prediction skills related to models’ performance on mean state and annual cycle? Climate Dynamics, 35, 267–283, DOI 10.1007/s00382-010-0857-4.
Luo, J.-J., 2010: Indian Ocean Dipole [in “State of the climate in 2009”]. Bull. Am. Meteor. Soc., 91, S103-S105.
Zhu, W., T. Li, X. Fu, and J.-J. Luo, 2010: Influence of the Maritime Continent on the boreal summer intraseasonal oscillation. J. Meteor. Soc. Jpn., 88 (3), 395-407.
Izumo, T., J. Vialard, M. Lengaigne, C. Boyer Montegut, S. K. Behera, J.-J. Luo, S. Cravatte, S. Masson, and T.Yamagata, 2010: Influence of the state of the Indian Ocean Dipole on the following year's El Niño. Nature Geoscience, 3, 168-172.
Luo, J.-J., R. Zhang, S. Behera, Y. Masumoto, F.-F. Jin, R. Lukas, and T. Yamagata, 2010: Interaction between El Niño and extreme Indian Ocean Dipole. J. Climate, 23(3), 726-742.
2009年文章列表:
Lin, A., T. Li, X. Fu, and J.-J. Luo, 2009: Impact of air-sea interactions over the Indian Ocean on the climatological state of tropical atmospheric circulation in boreal summer. Chinese J. Atmos. Sci., 33(6), 1123-1136 (in Chinese).
Rao, S. A., J.-J. Luo, S. K. Behera, and T. Yamagata, 2009: Generation and termination of Indian Ocean Dipole events in 2003, 2006 and 2007. Climate Dynamics, 33, 751-767.
Luo, J.-J., 2009: Indian Ocean Dipole [in “State of the climate in 2008”]. Bull. Am. Meteor. Soc., 90, S92-S94.
Kug, J.-S., K. P. Sooraj, F.-F. Jin, and J.-J. Luo, 2009: Impact of Indian Ocean Dipole on fast atmospheric variability over the Indian Ocean. Atmospheric Research, 94, 134-139, DOI: 10.1016/j.atmosres.2008.10.022.
Ajayamohan, R. S., S. A. Rao, J.-J. Luo, and T. Yamagata, 2009: Influence of Indian Ocean Dipole on boreal summer intraseasonal oscillations in a coupled general circulation model. JGR-Atmosphere, 114, D06119, doi:10.1029/2008JD011096.
Wang, B., et al., 2009: Advance and prospectus of seasonal prediction: assessment of the APCC/CliPAS 14-model ensemble retrospective seasonal prediction (1980-2004). Climate Dynamics, 33, 93–117, DOI:10.1007/s00382-008-0460-0.
2008年文章列表:
Luo, J.-J., and G. D. Bell, 2008: Indian Ocean Dipole [in “State of the climate in 2007”]. Bull. Am. Meteor. Soc., 89, S81-S83.
Behera, S., J.-J. Luo, and T. Yamagata, 2008: The Unusual IOD Event of 2007. Geophys. Res. Lett., 35, L14S11, doi:10.1029/2008GL034122.
Luo, J.-J., S. Behera, Y. Masumoto, H. Sakuma, and T. Yamagata, 2008: Successful prediction of the consecutive IOD in 2006 and 2007. Geophys. Res. Lett., 35, L14S02, doi:10.1029/2007GL032793. (AGU journal highlight)
Hong, C.-C., T. Li, and J.-J. Luo, 2008: Asymmetry of the Indian Ocean Dipole. Part II: Model diagnosis. J. Climate, 21, 4849-4858.
Tozuka, T., J.-J. Luo, S. Masson, and T. Yamagata, 2008: Tropical Indian Ocean variability revealed by self-organizing maps. Climate Dynamics, 31, 333-343.
Jin, E. K., et al., 2008: Current status of ENSO prediction skill in coupled ocean-atmosphere models. Climate Dynamics, 31, 647-664.
Izumo, T., C. Montegut, J.-J. Luo, S. Behera, S. Masson, and T. Yamagata, 2008: The role of the western Arabian Sea upwelling in Indian monsoon rainfall variability. J. Climate, 21, 5603-5623.
Wang, B., J.-Y. Lee, I.-S. Kang, J. Shukla, J.-S. Kug, A. Kumar, J. Schemm, J-J. Luo, T. Yamagata, and C.-K. Park, 2008: How accurately do coupled climate models predict the Asian-Australia monsoon interannual variability? Climate Dynamics, 31, 605-619.
Navarra, A., S. Gualdi, S. Masina, S. Behera, J.-J. Luo, S. Masson, E. Guilyardi, P. Delecluse, and T. Yamagata, 2008: Atmospheric horizontal resolution affects tropical climate variability in coupled models. J. Climate, 21, 730-750.
Luo, J.-J., S. Masson, S. Behera, and T. Yamagata, 2008: Extended ENSO predictions using a fully coupled ocean-atmosphere model. J. Climate, 21, 84-93.
2007年文章列表:
Bengtsson, L., K. I. Hodges, M. Esch, N. Keenlyside, L. Kornblueh, J.-J. Luo, and T. Yamagata, 2007: How may tropical cyclones change in a warmer climate? Tellus, 59A, 539-561.
Tozuka, T., J.-J. Luo, S. Masson, and T. Yamagata, 2007: Seasonally stratified analysis of simulated ocean thermodynamics. J. Climate, 20, 4615-4627.
Luo, J.-J., S. Masson, S. Behera, and T. Yamagata, 2007: Experimental forecasts of Indian Ocean dipole using a coupled OAGCM. J. Climate, 20, 2178-2190.
Rao, S. A., S. Masson, J.-J. Luo, S. K. Behera, and T. Yamagata, 2007: Termination of Indian Ocean Dipole events in a coupled general circulation model. J. Climate, 20, 3018-3035.
Cherchi, A., S. Gualdi, S. Behera, J.-J. Luo, S. Masson, T. Yamagata, and A. Navarra, 2007: The influence of Tropical Indian Ocean SST on the Indian summer monsoon. J. Climate, 20, 3083-3105.
Qin, Z.-K., Z.-B. Sun, Z.-H. Lin, H. Chen, and J.-J. Luo, 2007: Evaluation on potential predictability of summer climate over East Asia by an air-sea coupled model. Climatic and Environmental Research, 12(3), 232-244 (in Chinese).
Tozuka, T., J.-J. Luo, S. Masson and T. Yamagata, 2007: Decadal modulations of the Indian Ocean dipole in the SINTEX-F1 coupled GCM. J. Climate, 20, 2881-2894.
2006年文章列表:
Behera, K. S., J.-J. Luo, S. Masson, S. A. Rao, H. Sakuma, and T. Yamagata, 2006: A CGCM study on the interaction between IOD and ENSO. J. Climate, 19, 1688-1705.
Kug, J.-S., T. Li, S.-I1 An, I.-S. Kang, J.-J. Luo, S. Masson, and T. Yamagata, 2006: Role of the ENSO-Indian Ocean coupling on ENSO variability in a coupled GCM. Geophys. Res. Lett., 33, L09710, doi: 10.1029/2005GL024916.
Jungclaus, J. H., M. Botzet, H. Haak, N. Keenlyside, J.-J. Luo, M. Latif, J. Marotzke, U. Mikolajewicz, and E. Roeckner, 2006: Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J. Climate, 19, 3952-3972.
2005年文章列表:
Behera, S., J.-J. Luo, S. Masson, P. Delecluse, S. Gualdi, A. Navarra, and T. Yamagata, 2005: Paramount impact of the Indian Ocean Dipole on the East African Short Rains: A CGCM study. J. Climate, 18, 4514-4530.
Luo, J.-J., S. Masson, S. Behera, S. Shingu, and T. Yamagata, 2005: Seasonal climate predictability in a coupled OAGCM using a different approach for ensemble forecasts. J. Climate, 18, 4474-4497.
Luo, J.-J., S. Masson, E. Roeckner, G. Madec, and T. Yamagata, 2005: Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics. J. Climate, 18, 2344-2360.
Masson, S., J.-J. Luo, G. Madec, J. Vialard, F. Durand, S. Gualdi, E. Guilyardi, S. Behera, P. Delecluse, A. Navarra, T. Yamagata, 2005: Impact of barrier layer on winter-spring variability of the southeastern Arabian Sea. Geophys. Res. Lett., 32, L07703, doi:10.1029/2004GL021980.
Tozuka, T., J.-J. Luo, S. Masson, S. Behera, and T. Yamagata, 2005: Annual ENSO simulated in a coupled ocean-atmosphere model. Dynamics of Atmospheres and Oceans, 39, 41-60.
2004年年及以前文章列表:
Yamagata, T., S. Behera, J.-J. Luo, S. Masson, M. Jury, and S. A. Rao, 2004: Coupled ocean-atmosphere variability in the tropical Indian Ocean. Earth's Climate: The Ocean-Atmosphere Interaction. Geophys. Monogr. 147, Amer. Geophys. Union, 189-212.
Luo, J.-J., S. Masson, S. Behera, S. Gualdi, A. Navarra, P. Delecluse, and T. Yamagata, 2003: South Pacific origin of the decadal ENSO-like variation as simulated by a coupled GCM. Geophys. Res. Lett., 30(24), 2250, doi:10.1029/2003GL018649.
Luo, J.-J., and T. Yamagata, 2003: A model study on the 1988/89 warming event in the northern North Pacific. J. Phys. Oceanogr., 33, 1815-1828.
Luo, J.-J., and T. Yamagata, 2002: Four decadal ocean-atmosphere modes in the North Pacific revealed by various analysis methods. J. Oceanogr., 58, 861-876.
Luo, J.-J., and T. Yamagata, 2001: Long-term El Niño-Southern Oscillation (ENSO)-like variation with special emphasis on the South Pacific. J. Geophys. Res., 106, C10, 22211-22227.
Luo, J.-J., and L. Jameson, 2002: A wavelet-based technique for identifying, labeling, and tracking of ocean eddies. J. Atmospheric and Oceanic Technology, 19, 381-390.
Luo, J.-J., and J. He, 1997: Asian summer monsoon establishment and South China Sea monsoon onset features with the causes explored. J. Nanjing Institute of Meteorology, 20, 293-300 (in Chinese).
Wen, M., J.-J. Luo, and J. He, 1997: Air-sea interaction in dry and wet years. J. Nanjing Institute of Meteorology, 20, 341-347 (in Chinese).
在研科研项目:
2021-2025年 国家自然科学基金基础科学中心项目,气候系统预测研究中心,项目骨干
2020-11至2025-04 科技部国家重点研发计划项目,大数据与深度学习方法创新地球系统模式发展及应用研究,项目负责人
2021-2025年 国家自然科学基金重点项目,ENSO和印度洋偶极子的季节-年际可预测性及多时空尺度信号的影响,主持
2019-2021年 江苏省双创个人项目,热带太平洋和印度洋气候季节-年际可预测性研究,主持
2018-2021年 Multi-year drought prediction (Northern Australian Climate Prediction),Project leader
已结题科研项目:
与北京市气候中心,上海市气候中心、武汉区域气候中心、广东省气候中心等气象业务单位的横向项目
2017-2018年 Multi-year ENSO prediction for Sydney Water basin,Project science leader
2014-2017年 Improved skill for regional climate in the ACCESS-based POAMA-3 model (澳大利亚 Grains Research & Development Corporation Project),Project investigator and sub-organizer
2014-2016年 Global aerosol, large-scale circulation and Australian climate change (澳大利亚ACCSP project),Investigator
2013-2016年 Decadal climate variability and predictability (澳大利亚ACCSP project),investigator
2013-2016年 A decadal to inter-decadal streamflow prediction system (Australian Research Council grant),Investigator
2013-2016年 Understanding the Mean Meridional Circulation (MMC) and its relevance to Victoria (澳大利亚Victoria Climate Initiative-Project),Investigator: multi-year climate prediction
2012-2014年 ACCESS Coupled climate model development (澳大利亚ACCSP project),Co-lead of ENSO simulation and its improvement
2011-2015年 973计划“热带太平洋海洋环流与暖池的结构特征、变异机理和气候效应”,海外受邀合作研究
2010-2014年 973计划“晚新生代以来我国季风-干旱环境耦合系统演变的动力学研究”,作为中国科学院地球环境所客座教授参与中国古气候研究,主要是参与气候变化基本机制方面的研究
2009-2014年 日本科学技术振兴机构(JST)地球规模课题和日本政府对发展中国家的国际援助项目(JICA ODA),核心参与人员,提供模式季节预报结果,研究南非地区的气候可预报性,参与发展降尺度模式和社会应用系统,参与培训南非有关机构的研究人员
2009-2011年 日本学术振兴会科学研究费补助金,项目主持人, 指导博士后研究员(日本人)进行高精度气候模式开发和台风模拟
团队成员Research Group
团队名称:气候与应用前沿研究院(ICAR)
团队介绍:详见ICAR主页:https://icar.nuist.edu.cn/
团队名称:气候预测与应用创新团队
团队介绍:团队致力于气候预测与应用研究,团队成员有:罗京佳(团队负责人)、袁潮霞(团队召集人)、温娜、张敬林、邓伟涛、闫会平、董丽娜、王祥、霍利微、薛佳庆、彭珂、吴琨、刘珊珊