基本信息
张荣华  男  博导  中国科学院海洋研究所
电子邮件: rzhang@qdio.ac.cn
通信地址: 山东省青岛市市南区南海路7号
邮政编码: 266071

研究领域

热带海气耦合模式、热带海洋-大气相互作用、厄尔尼诺-南方涛动(ENSO 数值模拟和预测、年代际海洋气候变率、海洋反馈过程参数化及其对气候模拟影响等研究领域。长期以来,其研究工作以海洋数值模式发展和模拟为重点,致力于海洋与地球其它分系统(特别是大气、海洋生物和化学)等耦合模式的发展和改进;建立了各种类型的海洋大气耦合模式;并用所发展的模式进行 年际/年代际气候异常(如厄尔尼诺南方涛动)数值模拟和相关物理过程诊断分析等跨学科研究;近年来,创造性地将海洋卫星遥感资料用于气候反馈过程参数化研究,有效地改进了海气耦合模式和地球系统模式,取得了国际领先的科研成果。


招生信息

   
招生专业
070701-物理海洋学
招生方向
海洋环流与气候环境变化
气候动力学

教育背景

1986-09--1989-10   中国科学院大气物理研究所   博士
1983-09--1986-07   中国科学院大气物理研究所   硕士
1979-09--1983-07   浙江大学(原杭州大学)   学士
学历

研究生

学位
博士

工作经历

   
工作简历
2013-12~现在, 中国科学院海洋研究所, 二级研究员
2010-10~现在, 美国马里兰大学, 资深科学家和兼任教授
2003-07~2010-11,美国马里兰大学, 副研究员
1999-07~2003-07,美国哥伦比亚大学, 副研究员
1995-09~1999-07,美国罗德岛大学, 助理研究科学家
1992-02~1994-06,中国科学院大气物理研究所, 副研究员
1990-02~1992-01,日本气象厅气象研究所, 博士后
社会兼职
2016-11-01-今,中国海洋湖沼学会海洋与气候分会, 副理事长
2016-11-01-今,海洋学报, 主编助理
2016-07-01-今,青岛海洋科学与技术国家实验室海洋动力过程与气候功能实验室, 副主任
2016-01-01-今,国家实验室区域海洋动力学与数值模拟实验室学术委员会, 委员
2015-01-01-今,中国科学院大学, 首席教授
2014-04-01-今,中国科学院环流与波动重点实验室学术委员会, 副主任
2014-01-01-今,Chinese Journal of Oceanology and Limnology (CJOL), 助理主编
2010-01-01-今,Atmospheric and Oceanic Science Letters (AOSL), 编委

教授课程

海洋与气候变化

专利与奖励

   
奖励信息
(1) 气象科学技术进步成果奖, 一等奖, 国家级, 2018
(2) 中国科学院优秀导师奖, 特等奖, 院级, 2017
(3) “最佳科学家论文”奖, 研究所(学校), 2010
(4) 中国科学院自然科学奖, 一等奖, 院级, 1998
(5) 赵九章优秀中青年科学工作奖, 特等奖, 研究所(学校), 1994

出版信息

   
发表论文
[1] 高川, 周路, 张荣华. A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Niña Condition. Geophysical Research Letters[J]. 2023, [2] 石其东, 张荣华. Impact of the Deep Chlorophyll Maximum in the Equatorial Pacific as Revealed in a Coupled Ocean GCM-Ecosystem Model. Journal of Geophysical Research: Oceans[J]. 2023, [3] Lu Zhou, RongHua Zhang. A self-attention–based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions. SCIENCE ADVANCES[J]. 2023, 9(10): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995078/.
[4] Shuoni Ye, RongHua Zhang, Hongna Wang. The role played by tropical cyclones-induced freshwater flux forcing in the upper-ocean responses: A case for Typhoon Yutu (2018). OCEAN MODELLING[J]. 2023, http://dx.doi.org/10.1016/j.ocemod.2023.102211.
[5] Lu Zhou, Chuan Gao, RongHua Zhang. A spatiotemporal 3D convolutional neural network model for ENSO predictions: A test case for the 2020/21 La Niña conditions. ATMOSPHERICANDOCEANICSCIENCELETTERS[J]. 2023, http://dx.doi.org/10.1016/j.aosl.2023.100330.
[6] 张秋实, 张荣华. Subsurface Thermohaline Biases in the Southern Tropical Pacific and the Roles of Wind Stress and Precipitation. Journal of Climate[J]. 2023, [7] Zhu, Yuchao, Zhang, RongHua, Li, Delei. An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations. CLIMATE DYNAMICS[J]. 2022, 58(3-4): 999-1014, http://dx.doi.org/10.1007/s00382-021-05946-y.
[8] Zhu, Yuchao, Zhang, RongHua, Moum, James N, Wang, Fan, Li, Xiaofeng, Li, Delei. Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations. NATIONAL SCIENCE REVIEW[J]. 2022, 9(8): 160-167, [9] Yu Yang, SHU-HUA CHEN, Yu-heng Tseng, Gregory R. Foltz, 张荣华, gao huiwang. Impacts of Model Resolution and Ocean Coupling on Mean and Eddy Momentum Transfer During the Rapid Intensification of Super Typhoon Muifa (2011). Quarterly Journal of the Royal Meteorological Society[J]. 2022, [10] QIUSHI ZHANG, YUCHAO ZHU, 张荣华. Subsurface Warm Biases in the Tropical Atlantic and Their Attributions to the Role of Wind Forcing and Ocean Vertical Mixing. Journal of Climate[J]. 2022, 2291-2303, [11] Hu, Junya, Wang, Hongna, Gao, Chuan, Zhou, Lu, Zhang, RongHua. Interdecadal wind stress variability over the tropical Pacific causes ENSO diversity in an intermediate coupled model. CLIMATE DYNAMICS. 2022, http://dx.doi.org/10.1007/s00382-022-06414-x.
[12] Lu Chen, 张荣华, Chuan Gao. Effects of Temperature and Salinity on Surface Currents in the Equatorial Pacific. Journal of Geophysical Research (1896-1977)[J]. 2022, [13] Zhu, Yuchao, Zhang RongHua, James N Moum, Wang, Fan, Li Xiaofeng, Li Delei. Physics-informed Deep Learning Parameterization of Ocean Vertical Mixing Improves Climate Simulation. National Science Review[J]. 2022, 9(8): nwac044-, [14] Zhou Lu, 张荣华. A hybrid neural network model for ENSO prediction in combination with principal oscillation pattern analyses. Advances of Atmospheric Sciences[J]. 2022, 39(6): 889-902, [15] Guanghui ZHOU, Rong-Hua ZHANG. Structure and evolution of decadal spiciness variability in the North Pacific during 2004-2020, revealed from Argo observations. Advances in Atmospheric Sciences[J]. 2022, 953-966, [16] gao chuan, 陈茂楠, Zhou Lu, FENG Licheng, 张荣华. The 2020–2021 prolonged La Niña evolution in the tropical Pacific. Science China Earth Sciences[J]. 2022, 65(12): 2248-2266, [17] Guan, Cong, Tian, Feng, McPhaden, Michael J., Wang, Fan, 胡石建, Zhang, Rong-Hua. Zonal Structure of Tropical Pacific Surface Salinity Anomalies Affects ENSO Intensity and Asymmetry. Geophysical Research Letters[J]. 2022, 49(1): e2021GL096197-, [18] Gao, Wei, Wang, ZhenYan, Zhang, RongHua, Huang, HaiJun. Variability of the Mindanao Dome upwelling system during ENSO event from 2010 to 2015. DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS[J]. 2022, 189: http://dx.doi.org/10.1016/j.dsr.2022.103875.
[19] 高川, 陈茂楠, 周路, 冯立成, 张荣华. 2020~2021年热带太平洋持续性双拉尼娜事件的演变. 中国科学:地球科学[J]. 2022, 52(12): 2353-2372, [20] 张荣华, Guanghui ZHOU, hai zhi, Chuan Gao, hongna wang, FENG Licheng. Salinity interdecadal variability in the western equatorial Pacific and its effects during 1942-2018. Climate Dynamics[J]. 2022, [21] Zhang, RongHua, Gao, Chuan, Feng, Licheng. Recent ENSO evolution and its real-time prediction challenges. NATIONAL SCIENCE REVIEW[J]. 2022, 9(4): 2-5, http://dx.doi.org/10.1093/nsr/nwac052.
[22] Cui, Chaoran, Zhang, RongHua, Wei, Yanzhou, Wang, Hongna. Mesoscale wind stress-SST coupling induced feedback to the ocean in the western coast of South America. JOURNAL OF OCEANOLOGY AND LIMNOLOGY[J]. 2021, 39(3): 785-799, http://dx.doi.org/10.1007/s00343-020-0182-7.
[23] Zhu, Yuchao, Zhang, RongHua, Li, Delei, Chen, Dake. The Thermocline Biases in the Tropical North Pacific and Their Attributions. JOURNAL OF CLIMATE[J]. 2021, 34(5): 1635-1648, https://www.webofscience.com/wos/woscc/full-record/WOS:000615495000005.
[24] Hai ZHI, Pengfei LIN, Zhujun FANG, Hailong LIU, RongHua ZHANG, Wenrong BAI. Sea surface salinity-derived indexes for distinguishing two types of El Niño events in the tropical Pacific. 中国科学:地球科学英文版[J]. 2021, 64(8): 1267-1284, [25] Tian, Feng, Zhang, RongHua, Wang, Xiujun. Indian Ocean warming as a potential trigger for super phytoplankton blooms in the eastern equatorial Pacific from El Nino to La Nina transitions. ENVIRONMENTAL RESEARCH LETTERS[J]. 2021, 16(5): http://dx.doi.org/10.1088/1748-9326/abf76f.
[26] Yu, Jun, Wang, Xiujun, Murtugudde, Raghu, Tian, Feng, Zhang, RongHua. Interannual-to-Decadal Variations of Particulate Organic Carbon and the Contribution of Phytoplankton in the Tropical Pacific During 1981-2016: A Model Study. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2021, 126(1): http://dx.doi.org/10.1029/2020JC016515.
[27] Tian, Feng, Zhang, RongHua, Wang, Xiujun. Coupling ocean-atmosphere intensity determines ocean chlorophyll-induced SST change in the tropical Pacific. CLIMATE DYNAMICS[J]. 2021, 56(11-12): 3775-3795, http://dx.doi.org/10.1007/s00382-021-05666-3.
[28] 汤芷葭, 张荣华, Hongna Wang, Shaoqing Zhang, Hong Wang. Mesoscale Surface Wind-SST Coupling in a High-Resolution CESM Over the KE and ARC Region. Journal of Advances in Modeling Earth Systems (JAMES)[J]. 2021, [29] Tian, Feng, Zhang, RongHua, Wang, Xiujun, Zhi, Hai. Rectified Effects of Interannual Chlorophyll Variability on the Tropical Pacific Climate Revealed by a Hybrid Coupled Physics-Biology Model. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2021, 126(6): http://dx.doi.org/10.1029/2021JC017263.
[30] Zhu, Yuchao, Zhang, RongHua, Li, Delei. An ocean modeling study to quantify wind forcing and oceanic mixing effects on the tropical North Pacific subsurface warm bias in CMIP and OMIP simulations. CLIMATE DYNAMICS[J]. 2021, 16-, [31] 智海, 林鹏飞, 方祝骏, 刘海龙, 张荣华, 白文蓉. 区分热带太平洋两类厄尔尼诺事件的海表面盐度指数. 中国科学:地球科学[J]. 2021, 51(8): 1240-1257, https://www.sciengine.com/doi/10.1360/N072020-0384.
[32] Zhi, Hai, Zhang, RongHua, Lin, Pengfei, Yu, Peng, Zhou, Guanghui, Shi, Shiwei. Interannual Salinity Variability Associated With the Central Pacific and Eastern Pacific El Ninos in the Tropical Pacific. JOURNALOFGEOPHYSICALRESEARCHOCEANS[J]. 2020, 125(10): https://www.webofscience.com/wos/woscc/full-record/WOS:000612077200055.
[33] Feng, Licheng, Zhang, RongHua, Yu, Bo, Han, Xue. Roles of Wind Stress and Subsurface Cold Water in the Second-Year Cooling of the 2017/18 La Nina Event. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2020, 37(8): 847-860, http://lib.cqvip.com/Qikan/Article/Detail?id=7102348441.
[34] Zhu, Yuchao, Zhang, RongHua, Sun, Jichang. North Pacific Upper-Ocean Cold Temperature Biases in CMIP6 Simulations and the Role of Regional Vertical Mixing. JOURNAL OF CLIMATE[J]. 2020, 33(17): 7523-7538, https://www.webofscience.com/wos/woscc/full-record/WOS:000615097000016.
[35] Cui Chaoran, Zhang RongHua, Wang Hongna, Wei Yanzhou. Representing surface wind stress response to mesoscale SST perturbations in western coast of South America using Tikhonov regularization method. JOURNAL OF OCEANOLOGY AND LIMNOLOGY[J]. 2020, 38(3): 679-694, http://lib.cqvip.com/Qikan/Article/Detail?id=7101692461.
[36] Gao, Chuan, Zhang, RongHua, Karnauskas, Kristopher B, Zhang, Lei, Tian, Feng. Separating freshwater flux effects on ENSO in a hybrid coupled model of the tropical Pacific. CLIMATE DYNAMICS[J]. 2020, 54(11-12): 4605-4626, http://dx.doi.org/10.1007/s00382-020-05245-y.
[37] Zheng, Gang, Li, Xiaofeng, Zhang, RongHua, Liu, Bin. Purely satellite data-driven deep learning forecast of complicated tropical instability waves. SCIENCE ADVANCES[J]. 2020, 6(29): http://dx.doi.org/10.1126/sciadv.aba1482.
[38] Zhang RongHua, Yu Yongqiang, Song Zhenya, Ren HongLi, Tang Youmin, Qiao Fangli, Wu Tongwen, Gao Chuan, Hu Junye, Tian Feng, Zhu Yuchao, Chen Lin, Liu Hailong, Lin Pengfei, Wu Fanghua, Wang Lin. A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China. JOURNAL OF OCEANOLOGY AND LIMNOLOGYnull. 2020, 38(4): 930-961, http://lib.cqvip.com/Qikan/Article/Detail?id=7102292157.
[39] Tian, Feng, Zhang, RongHua, Wang, Xiujun. Effects on Ocean Biology Induced by El Nino-Accompanied Positive Freshwater Flux Anomalies in the Tropical Pacific. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2020, 125(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000530025100029.
[40] Lin Pengfei, Zhang Ronghua, Chai Fei, Liu Hailong, Zhi Hai. Salinity effects on the 2014 warm "Blob" in the Northeast Pacific. ACTA OCEANOLOGICA SINICA[J]. 2019, 38(9): 24-34, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6560600&detailType=1.
[41] Hai ZHI, RongHua ZHANG, Pengfei LIN, Peng YU, RongHua ZHANG. Interannual Salinity Variability in the Tropical Pacific in CMIP5 Simulations. 大气科学进展:英文版[J]. 2019, 36(4): 378-396, http://lib.cqvip.com/Qikan/Article/Detail?id=7001228729.
[42] Zhi, Hai, Zhang, RongHua, Lin, Pengfei, Shi, Shiwei. Effects of Salinity Variability on Recent El Nino Events. ATMOSPHERE[J]. 2019, 10(8): http://dx.doi.org/10.3390/atmos10080475.
[43] Wei, Yanzhou, Wang, Hongna, Zhang, RongHua. Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension. PROGRESS IN OCEANOGRAPHY[J]. 2019, 172: 108-123, http://ir.qdio.ac.cn/handle/337002/155340.
[44] Gao Jiaxiang, Zhang RongHua, Wang Hongna. Mesoscale SST perturbation-induced impacts on climatological precipitation in the Kuroshio-Oyashio extension region, as revealed by the WRF simulations. JOURNAL OF OCEANOLOGY AND LIMNOLOGY[J]. 2019, 37(2): 385-397, http://lib.cqvip.com/Qikan/Article/Detail?id=7001541464.
[45] Tao, LingJiang, Gao, Chuan, Zhang, RongHua. Model parameter-related optimal perturbations and their contributions to El Nino prediction errors. CLIMATE DYNAMICS[J]. 2019, 52(3-4): 1425-1441, http://ir.qdio.ac.cn/handle/337002/155319.
[46] Hu, Junya, Zhang, RongHua, Gao, Chuan. A Hybrid Coupled Ocean-Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 36(6): 643-657, http://lib.cqvip.com/Qikan/Article/Detail?id=7001676118.
[47] Bin MU, Juhui REN, Shijin YUAN, RongHua ZHANG, Lei CHEN, Chuan GAO. The Optimal Precursors for ENSO Events Depicted Using the Gradientdefinition- based Method in an Intermediate Coupled Model. 大气科学进展:英文版[J]. 2019, 36(12): 1381-1392, http://lib.cqvip.com/Qikan/Article/Detail?id=7003144655.
[48] Zhang, RongHua, Tian, Feng, Busalacchi, Antonio J, Wang, Xiujun. Freshwater Flux and Ocean Chlorophyll Produce Nonlinear Feedbacks in the Tropical Pacific. JOURNAL OF CLIMATE[J]. 2019, 32(7): 2037-2055, http://ir.qdio.ac.cn/handle/337002/154914.
[49] Zhang, RongHua, Tian, Feng, Zhi, Hai, Kang, Xianbiao. Observed structural relationships between ocean chlorophyll variability and its heating effects on the ENSO. CLIMATE DYNAMICS[J]. 2019, 53(9-10): 5165-5186, [50] Zhu, Yuchao, Zhang, RongHua. A Modified Vertical Mixing Parameterization for Its Improved Ocean and Coupled Simulations in the Tropical Pacific. JOURNAL OF PHYSICAL OCEANOGRAPHY[J]. 2019, 49(1): 21-37, [51] Tian, Feng, Zhang, RongHua, Wang, Xiujun. Factors affecting interdecadal variability of air-sea-CO2 fluxes in the tropical Pacific, revealed by an ocean physical-biogeochemical model. CLIMATE DYNAMICS[J]. 2019, 53(7-8): 3985-4004, http://ir.qdio.ac.cn/handle/337002/163322, http://www.irgrid.ac.cn/handle/1471x/6861314, http://ir.qdio.ac.cn/handle/337002/163323, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000489753900016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.
[52] Pei Yuhua, Zhang Ronghua, Chen Dake. Roles of different physical processes in upper ocean responses to Typhoon Rammasun (2008)-induced wind forcing. SCIENCE CHINA. EARTH SCIENCES[J]. 2019, 62(4): 684-692, https://www.sciengine.com/doi/10.1007/s11430-018-9313-8.
[53] Yuhua PEI, RongHua ZHANG, Dake CHEN. Roles of different physical processes in upper ocean responses to Typhoon Rammasun(2008)-induced wind forcing. 中国科学:地球科学英文版[J]. 2019, 62(4): 684-692, http://lib.cqvip.com/Qikan/Article/Detail?id=7001721025.
[54] Zhi, Hai, Zhang, RongHua, Lin, Pengfei, Yu, Peng. Interannual Salinity Variability in the Tropical Pacific in CMIP5 Simulations. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 36(4): 378-396, http://lib.cqvip.com/Qikan/Article/Detail?id=7001228729.
[55] Junya HU, RongHua ZHANG, Chuan GAO. A Hybrid Coupled Ocean–Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses. 大气科学进展:英文版[J]. 2019, 36(6): 643-657, http://lib.cqvip.com/Qikan/Article/Detail?id=7001676118.
[56] Tian, Feng, Zhang, RongHua, Wang, Xiujun. A Positive Feedback Onto ENSO Due to Tropical Instability Wave (TIW)-Induced Chlorophyoll Effects in the Pacific. GEOPHYSICAL RESEARCH LETTERS[J]. 2019, 46(2): 889-897, http://ir.qdio.ac.cn/handle/337002/155598.
[57] Mu, Bin, Ren, Juhui, Yuan, Shijin, Zhang, RongHua, Chen, Lei, Gao, Chuan. The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2019, 36(12): 1381-1392, http://lib.cqvip.com/Qikan/Article/Detail?id=7003144655.
[58] Yu, Jun, Wang, Xiujun, Fan, Hang, Zhang, RongHua. Impacts of Physical and Biological Processes on Spatial and Temporal Variability of Particulate Organic Carbon in the North Pacific Ocean during 2003-2017. SCIENTIFIC REPORTS[J]. 2019, 9(1): http://dx.doi.org/10.1038/s41598-019-53025-4.
[59] GAO Jiaxiang, ZHANG RongHua, WANG Hongna. Mesoscale SST perturbation-induced impacts on climatological precipitation in the Kuroshio-Oyashio extension region, as revealed by the WRF simulations. 海洋湖沼学报(英文)[J]. 2019, 37(2): 385-397, http://lib.cqvip.com/Qikan/Article/Detail?id=7001541464.
[60] Tang, Youmin, Zhang, RongHua, Liu, Ting, Duan, Wansuo, Yang, Dejian, Zheng, Fei, Ren, Hongli, Lian, Tao, Gao, Chuan, Chen, Dake, Mu, Mu. Progress in ENSO prediction and predictability study. NATIONAL SCIENCE REVIEW[J]. 2018, 5(6): 826-839, http://lib.cqvip.com/Qikan/Article/Detail?id=78658382504849564854484954.
[61] Zhang, RongHua, Tian, Feng, Wang, Xiujun. Ocean Chlorophyll-Induced Heating Feedbacks on ENSO in a Coupled Ocean Physics-Biology Model Forced by Prescribed Wind Anomalies. JOURNAL OF CLIMATE[J]. 2018, 31(5): 1811-1832, https://www.webofscience.com/wos/woscc/full-record/WOS:000427438100008.
[62] Zhang, RongHua, Tian, Feng, Wang, Xiujun. A New Hybrid Coupled Model of Atmosphere, Ocean Physics, and Ocean Biogeochemistry to Represent Biogeophysical Feedback Effects in the Tropical Pacific. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS[J]. 2018, 10(8): 1901-1923, http://ir.qibebt.ac.cn/handle/337004/11727.
[63] Tao, LingJiang, Gao, Chuan, Zhang, RongHua. ENSO Predictions in an Intermediate Coupled Model Influenced by Removing Initial Condition Errors in Sensitive Areas: A Target Observation Perspective. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2018, 35(7): 853-867, http://lib.cqvip.com/Qikan/Article/Detail?id=675139508.
[64] Zhu, Yuchao, Zhang, RongHua. Scaling wind stirring effects in an oceanic bulk mixed layer model with application to an OGCM of the tropical Pacific. CLIMATE DYNAMICS[J]. 2018, 51(5-6): 1927-1946, https://www.webofscience.com/wos/woscc/full-record/WOS:000442433200019.
[65] Wei Yanzhou, Zhang Ronghua, Wang Hongna, Kang Xianbiao. Effect of mesoscale wind stress-SST coupling on the Kuroshio extension jet. JOURNAL OF OCEANOLOGY AND LIMNOLOGY[J]. 2018, 36(3): 612-619, http://lib.cqvip.com/Qikan/Article/Detail?id=675895576.
[66] Zhang, RongHua, Tao, LingJiang, Gao, Chuan. An improved simulation of the 2015 El Nio event by optimally correcting the initial conditions and model parameters in an intermediate coupled model. CLIMATE DYNAMICS[J]. 2018, 51(1-2): 269-282, https://www.webofscience.com/wos/woscc/full-record/WOS:000435522000016.
[67] Gao, Chuan, Zhang, RongHua, Wu, Xinrong, Sun, Jichang. Idealized Experiments for Optimizing Model Parameters Using a 4D-Variational Method in an Intermediate Coupled Model of ENSO. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2018, 35(4): 410-422, https://www.webofscience.com/wos/woscc/full-record/WOS:000425327700005.
[68] Tian, Feng, Zhang, RongHua, Wang, Xiujun. A Coupled Ocean Physics-Biology Modeling Study on Tropical Instability Wave-Induced Chlorophyll Impacts in the Pacific. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2018, 123(8): 5160-5179, http://ir.qibebt.ac.cn/handle/337004/11617.
[69] Li, Shan, Zhang, Shaoqing, Liu, Zhengyu, Lu, Lv, Zhu, Jiang, Zhang, Xuefeng, Wu, Xinrong, Zhao, Ming, Vecchi, Gabriel A, Zhang, RongHua, Lin, Xiaopei. Estimating Convection Parameters in the GFDL CM2.1 Model Using Ensemble Data Assimilation. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS[J]. 2018, 10(4): 989-1010, http://www.irgrid.ac.cn/handle/1471x/1782356.
[70] Zhu, Yuchao, Zhang, RongHua. An Argo-Derived Background Diffusivity Parameterization for Improved Ocean Simulations in the Tropical Pacific. GEOPHYSICAL RESEARCH LETTERS[J]. 2018, 45(3): 1509-1517, [71] Jianing Wang, Youyu Lu, Fan Wang, RongHua Zhang. Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Niño Prediction. SCIENTIFIC REPORTS[J]. 2017, 7(1): 1-9, https://doaj.org/article/8ad738531352491baca1afeeacf74b9c.
[72] 高川, 王宏娜, 陶灵江, 张荣华. IOCAS ICM及其ENSO实时预测试验和改进. 海洋与湖沼[J]. 2017, 48(6): 1289-1301, http://lib.cqvip.com/Qikan/Article/Detail?id=674175244.
[73] Zhang Ronghua, Gao Chuan. Processes involved in the second-year warming of the 2015 El Nino event as derived from an intermediate ocean model. SCIENCE CHINA. EARTH SCIENCES[J]. 2017, 60(9): 1601-1613, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6092965&detailType=1.
[74] 张荣华, 高川. 关于2015年厄尔尼诺事件的二次变暖过程: 一个基于中等复杂程度海洋模式的诊断分析. 中国科学. 地球科学[J]. 2017, 47(9): 1027-1039, [75] Kang, Xianbiao, Zhang, RongHua, Gao, Chuan, Zhu, Jieshun. An improved ENSO simulation by representing chlorophyll-induced climate feedback in the NCAR Community Earth System Model. SCIENTIFIC REPORTS[J]. 2017, 7(1): http://ir.qdio.ac.cn/handle/337002/154325.
[76] Wei, Yanzhou, Zhang, RongHua, Wang, Hongna. Mesoscale wind stress-SST coupling in the Kuroshio extension and its effect on the ocean. JOURNAL OF OCEANOGRAPHY[J]. 2017, 73(6): 785-798, http://ir.qdio.ac.cn/handle/337002/143035.
[77] Kang, Xianbiao, Zhang, RongHua, Wang, Guansuo. Effects of different freshwater flux representations in an ocean general circulation model of the tropical Pacific. SCIENCE BULLETIN[J]. 2017, 62(5): 345-351, http://dx.doi.org/10.1016/j.scib.2017.02.002.
[78] Hu ZengZhen, Kumar Arun, Huang Bohua, Zhu Jieshun, Zhang RongHua, Jin FeiFei. Asymmetric evolution of El Niño and La Niña: the recharge/discharge processes and role of the off-equatorial sea surface height anomaly. CLIMATE DYNAMICS[J]. 2017, [79] Wang, Jianing, Lu, Youyu, Wang, Fan, Zhang, RongHua. Surface Current in "Hotspot" Serves as a New and Effective Precursor for El Nino Prediction. SCIENTIFIC REPORTS[J]. 2017, 7: https://www.webofscience.com/wos/woscc/full-record/WOS:000396869100014.
[80] Tao, LingJiang, Zhang, RongHua, Gao, Chuan. Initial error-induced optimal perturbations in ENSO predictions, as derived from an intermediate coupled model. ADVANCESINATMOSPHERICSCIENCES[J]. 2017, 34(6): 791-803, http://lib.cqvip.com/Qikan/Article/Detail?id=672047204.
[81] Gao, Chuan, Zhang, RongHua. The roles of atmospheric wind and entrained water temperature (T-e) in the second-year cooling of the 2010-12 La Nina event. CLIMATE DYNAMICS[J]. 2017, 48(1-2): 597-617, https://www.webofscience.com/wos/woscc/full-record/WOS:000392307300034.
[82] Zhang, RongHua, Gao, Chuan. Role of subsurface entrainment temperature (Te) in the onset of El Nio events, as represented in an intermediate coupled model. CLIMATE DYNAMICS[J]. 2016, 46(5-6): 1417-1435, https://www.webofscience.com/wos/woscc/full-record/WOS:000371069900005.
[83] Zhi, Hai, Zhang, RongHua, Zheng, Fei, Lin, Pengfei, Wang, Lanning, Yu, Peng. Assessment of Interannual Sea Surface Salinity Variability and Its Effects on the Barrier Layer in the Equatorial Pacific Using BNU-ESM. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2016, 33(3): 339-351, http://dx.doi.org/10.1007/s00376-015-5163-y.
[84] 郑飞, 朱江, 张荣华, 彭京备. 2015年超级厄尔尼诺事件的成功预报. 中国科学院院刊[J]. 2016, 31(2): 251-257, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5640279&detailType=1.
[85] Gao, Chuan, Wu, Xinrong, Zhang, RongHua. Testing a four-dimensional variational data assimilation method using an improved intermediate coupled model for ENSO analysis and prediction. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2016, 33(7): 875-888, http://lib.cqvip.com/Qikan/Article/Detail?id=668858438.
[86] 张荣华王凡. 海洋多尺度和多圈层过程及其相互作用研究——一个应用于厄尔尼诺模拟的成功范例. 中国科学院院刊[J]. 2016, 31(12): 1308-1315, http://www.chinaxiv.org/abs/201612.00213.
[87] Rong-Hua Zhang, Chuan Gao. The IOCAS intermediate coupled model (IOCAS ICM) and its real-time predictions of the 2015–2016 El Niño event. SCIENCE BULLETIN. 2016, 61(13): 1061-1070, http://dx.doi.org/10.1007/s11434-016-1064-4.
[88] Zhang, RongHua. A modulating effect of Tropical Instability Wave (TIW)-induced surface wind feedback in a hybrid coupled model of the tropical Pacific. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2016, 121(10): 7326-7353, https://www.webofscience.com/wos/woscc/full-record/WOS:000388602200007.
[89] Zhang RongHua. A hybrid coupled model for the pacific ocean-atmosphere system. Part I: Description and basic performance. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2015, 32(3): 301-318, https://www.webofscience.com/wos/woscc/full-record/WOS:000347285700003.
[90] Pei YuHua, Zhang RongHua, Chen DaKe. Upper ocean response to tropical cyclone wind forcing: A case study of typhoon Rammasun (2008). SCIENCE CHINA-EARTH SCIENCES[J]. 2015, 58(9): 1623-1632, [91] Li, Zhongxian, Zhou, Tianjun, Chen, Haishan, Ni, Donghong, Zhang, RongHua. Modelling the effect of soil moisture variability on summer precipitation variability over East Asia. INTERNATIONAL JOURNAL OF CLIMATOLOGY[J]. 2015, 35(6): 879-887, https://www.webofscience.com/wos/woscc/full-record/WOS:000353987800006.
[92] ZHI Hai, ZHANG Rong-Hua, LIN Pengfei, WANG Lanning. Simulation of Salinity Variability and the Related Freshwater Flux Forcing in the Tropical Pacific: An Evaluation Using the Beijing Normal University Earth System Model (BNU-ESM). 大气科学进展:英文版[J]. 2015, 32(11): 1551-1564, http://lib.cqvip.com/Qikan/Article/Detail?id=665874478.
[93] ZHI Hai, ZHANG Rong-Hua, LIN Pengfei, WANG Lanning. Quantitative Analysis of the Feedback Induced by the Freshwater Flux in the Tropical Pacific Using CMIP5. 大气科学进展:英文版[J]. 2015, 32(10): 1341-1353, http://lib.cqvip.com/Qikan/Article/Detail?id=665874436.
[94] WEI Yanzhou, PEI Yuhua, ZHANG Rong-Hua. Seasonal variability of the Kuroshio Current at the PN Section in the East China Sea based on in-situ observation from 1987 to 2010. 海洋学报:英文版[J]. 2015, 34(5): 12-21, http://lib.cqvip.com/Qikan/Article/Detail?id=665044415.
[95] Zhang, RongHua, Gao, Chuan, Kang, Xianbiao, Zhi, Hai, Wang, Zhanggui, Feng, Licheng. ENSO Modulations due to Interannual Variability of Freshwater Forcing and Ocean Biology-induced Heating in the Tropical Pacific. SCIENTIFIC REPORTS[J]. 2015, 5: https://www.webofscience.com/wos/woscc/full-record/WOS:000367056600001.
[96] Zhang, RongHua. An ocean-biology-induced negative feedback on ENSO as derived from a hybrid coupled model of the tropical Pacific. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS[J]. 2015, 120(12): 8052-8076, https://www.webofscience.com/wos/woscc/full-record/WOS:000369153200019.
[97] ZHANG Rong-Hua. A Hybrid Coupled Model for the Pacific Ocean-Atmosphere System.Part Ⅰ: Description and Basic Performance. 大气科学进展:英文版[J]. 2015, 32(3): 301-318, http://lib.cqvip.com/Qikan/Article/Detail?id=663679888.
[98] Zheng, Fei, Zhang, RongHua. Interannually varying salinity effects on ENSO in the tropical pacific: a diagnostic analysis from Argo. OCEAN DYNAMICS[J]. 2015, 65(5): 691-705, https://www.webofscience.com/wos/woscc/full-record/WOS:000352902600005.
[99] PEI Yuhua, ZHANG Rong-Hua, ZHANG Xiangming, JIANG Lianghong, WEI Yanzhou. Variability of sea surface height in the South China Sea and its relationship to Pacific oscillations. 海洋学报:英文版[J]. 2015, 34(12): 80-92, http://lib.cqvip.com/Qikan/Article/Detail?id=667219536.
[100] Feng Licheng, Zhang Ronghua, Wang Zhanggui, Chen Xingrong. Processes Leading to Second-Year Cooling of the 2010-12 La Ni(n)a Event,Diagnosed Using GODAS. 大气科学进展:英文版[J]. 2015, 32(3): 424-438, http://lib.cqvip.com/Qikan/Article/Detail?id=663679897.
[101] Zhang, RongHua. Structure and effect of ocean biology-induced heating (OBH) in the tropical Pacific, diagnosed from a hybrid coupled model simulation. CLIMATE DYNAMICS[J]. 2015, 44(3-4): 695-715, https://www.webofscience.com/wos/woscc/full-record/WOS:000349406100006.
[102] Wei Yanzhou, Pei Yuhua, Zhang RongHua. Seasonal variability of the Kuroshio Current at the PN Section in the East China Sea based on in-situ observation from 1987 to 2010. ACTA OCEANOLOGICA SINICA[J]. 2015, 34(5): 12-21, http://lib.cqvip.com/Qikan/Article/Detail?id=665044415.
[103] Kang Xianbiao, Huang Ronghui, Wang Zhanggui, Zhang RongHua. Sensitivity of ENSO Variability to Pacific Freshwater Flux Adjustment in the Community Earth System Model. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2014, 31(5): 1009-1021, http://lib.cqvip.com/Qikan/Article/Detail?id=661908216.
[104] Zhang, RongHua, Li, Zhongxian, Zhu, Jieshun, Kang, Xianbiao, Min, Jinzhong. Impact of tropical instability waves-induced SST forcing on the atmosphere in the tropical Pacific, evaluated using CAM5.1. ATMOSPHERIC SCIENCE LETTERS[J]. 2014, 15(3): 186-194, https://www.webofscience.com/wos/woscc/full-record/WOS:000340247300005.
[105] Gao, Zongting, Hu, ZengZhen, Zhu, Jieshun, Yang, Song, Zhang, RongHua, Xiao, Ziniu, Jha, Bhaskar. Variability of Summer Rainfall in Northeast China and Its Connection with Spring Rainfall Variability in the Huang-Huai Region and Indian Ocean SST. JOURNAL OF CLIMATE[J]. 2014, 27(18): 7086-7101, https://www.webofscience.com/wos/woscc/full-record/WOS:000341981800014.
[106] Zhang, RongHua. Effects of tropical instability wave (TIW)-induced surface wind feedback in the tropical Pacific Ocean. CLIMATE DYNAMICS[J]. 2014, 42(1-2): 467-485, https://www.webofscience.com/wos/woscc/full-record/WOS:000329238300028.
[107] Zhu, Jieshun, Huang, Bohua, Zhang, RongHua, Hu, ZengZhen, Kumar, Arun, Balmaseda, Magdalena A, Marx, Lawrence, Kinter, James L, III. Salinity anomaly as a trigger for ENSO events. SCIENTIFIC REPORTS[J]. 2014, 4: https://www.webofscience.com/wos/woscc/full-record/WOS:000343983600012.
[108] Zheng Fei, Zhang RongHua, Zhu Jiang. Effects of interannual salinity variability on the barrier layer in the western-central equatorial Pacific: A diagnostic analysis from Argo. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2014, 31(3): 532-542, http://lib.cqvip.com/Qikan/Article/Detail?id=49301873.
[109] 张荣华. Impact of Tropical Instability Waves (TIWs)-induced SST Forcing on the Atmosphere in the Tropical Pacific: A Clean Evaluation Using CAM5.1. Atmos. Sci. Lett. 2014, [110] Zhang RongHua, Wang Zhanggui. Model evidence for interdecadal pathway changes in the subtropics and tropics of the South Pacific Ocean. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2013, 30(1): 1-9, http://lib.cqvip.com/Qikan/Article/Detail?id=44274167.
[111] Zhang, RongHua, Zheng, Fei, Zhu, Jiang, Wang, Zhanggui. A successful real-time forecast of the 2010-11 La Nina event. SCIENTIFIC REPORTS[J]. 2013, 3: https://www.webofscience.com/wos/woscc/full-record/WOS:000314091000001.
[112] 张荣华. Remote Effects of Tropical Cyclone (TC) Wind Forcing over the Western Pacific on the Eastern Equatorial Ocean. Adv. Atmos. Sci. 2013, [113] 张荣华. Using satellite data to represent tropical instability waves (TIWs)-induced wind feedbacks in the Pacific Ocean. Remote Sensing. 2013, [114] Zhang RongHua, Zheng Fei, Zhu Jieshun, Pei Yuhua, Zheng Quanan, Wang Zhanggui. Modulation of El Nino-Southern Oscillation by freshwater flux and salinity variability in the tropical Pacific. ADVANCES IN ATMOSPHERIC SCIENCES[J]. 2012, 29(4): 647-660, https://www.webofscience.com/wos/woscc/full-record/WOS:000305518200001.
[115] Zhang, RongHua, Chen, Dake, Wang, Guihua. Using Satellite Ocean Color Data to Derive an Empirical Model for the Penetration Depth of Solar Radiation (H-p) in the Tropical Pacific Ocean. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY[J]. 2011, 28(7): 944-965, https://www.webofscience.com/wos/woscc/full-record/WOS:000293619700008.
[116] Zhang, RongHua, Wang, Guihua, Chen, Dake, Busalacchi, A J, Hackert, E C. Interannual Biases Induced by Freshwater Flux and Coupled Feedback in the Tropical Pacific. MONTHLY WEATHER REVIEW[J]. 2010, 138(5): 1715-1737, https://www.webofscience.com/wos/woscc/full-record/WOS:000279500900013.
[117] Zhang, RongHua, Busalacchi, Antonio J. An Empirical Model for Surface Wind Stress Response to SST Forcing Induced by Tropical Instability Waves (TIWs) in the Eastern Equatorial Pacific. MONTHLY WEATHER REVIEW[J]. 2009, 137(6): 2021-2046, https://www.webofscience.com/wos/woscc/full-record/WOS:000267850700019.
[118] Zhang, RongHua, Busalacchi, Antonio J. Freshwater Flux (FWF)-Induced Oceanic Feedback in a Hybrid Coupled Model of the Tropical Pacific. JOURNAL OF CLIMATE[J]. 2009, 22(4): 853-879, https://www.webofscience.com/wos/woscc/full-record/WOS:000264242800001.
[119] 张荣华. Ocean Biology-Induced Climate Feedback Effects on Interannual Variability in the Tropical Pacific: A Missing Process in the NCEP CFS. NCEP, Camp Springs, Maryland. 2009, [120] Zhang RongHua, Busalacchi Antonio J., Wang Xiujun, BallabreraPoy Joaquim, Murtugudde Raghu G., Hackert Eric C., Chen Dake. Role of ocean biology-induced climate feedback in the modulation of El Niño-Southern Oscillation. GEOPHYSICAL RESEARCH LETTERS. 2009, [121] Wei Gao, ZhenYan Wang, RongHua Zhang, HaiJun Huang. Variability of the Mindanao Dome upwelling system during ENSO event from 2010 to 2015. DEEP-SEA RESEARCH PART I. http://dx.doi.org/10.1016/j.dsr.2022.103875.
[122] Gao C, Zhang RH. The roles of atmospheric wind and entrained water temperature (Te) in the second-year cooling of the 2010–12 La Niña event. http://119.78.100.177:8080/handle/2HF3EXSE/53410.
[123] Zhang RH, Tao LJ, Gao C. An improved simulation of the 2015 El Niño event by optimally correcting the initial conditions and model parameters in an intermediate coupled model. http://119.78.100.177/globalchange/handle/2HF3EXSE/109235.
发表著作
(1) 海洋学导论, 电子工业出版社, 2017-10, 第 1 作者

科研活动

   
科研项目
( 1 ) 全球变暖下的海洋响应及其对东亚气候和近海储碳的影响, 参与, 国家级, 2013-10--2016-08
( 2 ) 海洋次表层上卷温度场优化方法及其在提高ENSO实时预测中的应用, 主持, 国家级, 2015-01--2018-12
( 3 ) 黑潮及延伸体海域气候变化的可测性及未来气候预估, 主持, 国家级, 2015-01--2019-12
( 4 ) ENSO模拟和实时预测模式研制, 主持, 部委级, 2013-11--2018-06
( 5 ) 山东省自主创新重大关键技术项目-“透明海洋”科技创新工程, 参与, 省级, 2014-11--2017-11
( 6 ) ENSO多变性及其与太平洋年代际变率等的关系, 主持, 国家级, 2017-01--2021-12
( 7 ) 海洋和地球系统模式发展和应用, 主持, 省级, 2014-10--2017-10
( 8 ) 第十一批“****”创新长期项目, 主持, 国家级, 2016-01--2018-12
( 9 ) 青岛海洋科学与技术国家实验室“鳌山人才”卓越科学家计划, 主持, 省级, 2015-11--2018-11
( 10 ) 西太平洋海洋环流动力过程, 参与, 国家级, 2015-01--2020-12
( 11 ) “全球变化与海气相互作用”专项国际合作项目, 参与, 研究所(学校), 2016-01--2020-07
( 12 ) 海洋与气候系统数值模拟平台建设关键技术, 参与, 省级, 2017-01--2017-12
( 13 ) 全球海洋时空过程模拟及预报模型, 参与, 部委级, 2018-01--2022-12
参与会议
(1)Ocean biology-induced heating feedback on ENSO   大气科学学科发展战略研讨会暨天气、气候与大气环境高峰论坛   2018-10-13
(2)ENSO modulations by freshwater flux forcing and ocean biology-induced heating    2018-07-30
(3)Compensated modulating effects on ENSO due to freshwater flux forcing and ocean chlorophyll-induced heating in the tropical Pacific bio-climate system   2018-07-10
(4)Nonlinear Modulations of ENSO Due to Freshwater Flux and Salinity Effect in a Hybrid Coupled Atmosphere and Ocean Physics-Biology Model   2018-06-03
(5)An improved ENSO simulation by representing chlorophyll-induced climate feedback in the NCAR Community Earth System Model   2018-05-08
(6) An improved ENSO simulation by representing chlorophyll-induced climate feedback in the NCAR Community Earth System Model   2018-04-19
(7) Ocean Chlorophyll-induced Heating Feedbacks on ENSO in a Coupled Ocean Physics-Biology Model Forced by Prescribed Wind Anomalies   2018-02-11
(8)基于简化海气耦合模式的厄尔尼诺和南方涛动(ENSO)可预报性研究及其实时预报   第二届海洋科学高性能计算峰会   2017-10-16
(9)海洋动力环境与气候安全   “海洋资源与海洋经济的可持续发展”省级高级研修班   2017-09-26
(10)海洋生态引发加热效应对 ENSO 的调制影响   AOSL创刊十周年庆暨学术研讨会   2017-08-24
(11)An improved 2015 El Niño hindcast using the CNOP approach to optimize initial conditions and model parameters in a coupled model   2017-06-04
(12)An improved 2015 El Niño hindcast using the CNOP approach to optimize initial conditions and model parameters in a coupled model   2017-06-04
(13)海洋中热带外海区与热带相互作用   2017-04-20
(14)An Improved Representation of Wind Stirring Effect on the Ocean Mixed Layer and Its Application to Tropical Pacific Ocean Modeling   2016-12-12
(15)关于 2014-15年厄尔尼诺事件的二次变暖过程:一个基于中等复杂程度海洋模式的诊断分析   2016年中国海洋湖沼学会学术交流会   2016-11-07
(16)An Application of a 4-Dimensional Variational Data Assimilation Method to ENSO Analysisand Prediction in an Intermediate Coupled Model   2016-07-31
(17)An improved representation of wind stirring effect on the ocean mixed layer and its application to tropical Pacific ocean modeling   2016-07-27
(18)An Ocean Biology-induced Negative Feedback on ENSO in the Tropical Pacific Climate System   2016-02-21
(19)ENSO Modulations by Interannual Variability of Freshwater Forcing and Ocean Biology-induced Heating feedbacks in the Tropical Pacific   2015 AGU fall meeting   2015-12-14

指导学生

已指导学生

魏艳州  博士研究生  070701-物理海洋学  

陶灵江  硕士研究生  085229-环境工程  

高川  博士研究生  070701-物理海洋学  

高嘉祥  硕士研究生  070701-物理海洋学  

朱聿超  博士研究生  070701-物理海洋学  

现指导学生

崔超然  博士研究生  070701-物理海洋学  

田丰  博士研究生  070701-物理海洋学  

周光辉  博士研究生  070701-物理海洋学  

张雯哲  博士研究生  070701-物理海洋学  

陈露  博士研究生  070701-物理海洋学  

汤芷葭  硕士研究生  070701-物理海洋学