Faculty and Staff
ZHANG Ronghua
Title: Professor
Research Field: Physical oceanography and climate dynamics
Department: Key Laboratory of Ocean Circulation and Waves
Tel/Fax: 0532-82895976

1990-1992: Meteorological Research Institute/Japan Meteorology Agency (Japan) , Postdoc Scientist;
1992-1994: Institute of Atmospheric Physics, Chinese Academy of Sciences (China), Associate Scientist;
1994 -1995: The National Oceanographic Data Center/NOAA (USA), Visiting Scientist;
1995-1999: University of Rhode Island (USA) , Postdoc and Assistant Scientist;
1999 -2003: Columbia University (USA) , Associate Scientist;
2003-2013: University of Maryland (USA), Associate and Senior Scientist, and Affiliate Professor;
2014-present: Institute of Oceanology/Chinese Academy of Sciences (IOCAS, China), Professor.


B. S. in Meteorology from Zhejiang University, 1983;
M. S. in Atmospheric dynamics from Institute of Atmospheric Physics,
Chinese Academy of Sciences, 1986;
Ph. D. in Climate Dynamics from Institute of Atmospheric Physics,
Chinese Academy of Sciences, 1989.


Professional Memberships
Editor: Atmospheric and Oceanic Science Letters (AOSL), 2010-present;
Assistant Editor in Chief:Journal of Oceanology and Limnology, 2014-present;
Assistant Editor in Chief:Acta Oceanologica Sinica, 2017-present;
Editor: Global Meteorology, 2011-2012;
NASA Sea Surface Temperature (SST) Science Team ; 2009-2013;
NASA Altimetry science team , 2009-2013;
NASA Ocean Salinity science team , 2010-2013;
Board member of Chinese-American Atmosphere and Ocean Association (COAA), 2008-2010;
AGU Board Committees/Teller committee , 2010-2012;
Member of AGU, 1994-present.


Research Interests
Research interests include ocean modeling, tropical ocean-atmosphere coupling, data assimilation, interanuual and decadal ocean variability, the interactions between the tropics and subtropics in the ocean, and ocean-related feedback parameterizations. A suite of coupled tropical ocean-atmosphere models developed for El Nino-Southern Oscillation (ENSO) in the tropical Pacific; novel approaches to use satellite data for climate modeling; an intermediate coupled ocean-atmosphere model (known as IOCAS ICM) which has been used for routine ENSO prediction; and a hybrid coupled model (HCM) of atmosphere and ocean physics and biogeochemistry to represent biogeophysical feedback effects in the tropical Pacific.


Honors and Awards
Excellence in graduate mentoring, Chinese Academy of Sciences, 2017;
Best Research Scientist Paper Award, Earth System Science Interdisciplinary Center (ESSIC) , University of Maryland, USA, 2010.


Selected Publications
1.Zhang, R.-H.,F. Tian, and H. Zhi and X. Kang, 2019: Observed structural relationships between ocean chlorophyll variability and its heating effects on the ENSO, Climate Dynamics, in press , DOI: 10.1007/s00382-019-04844-8.
2.Zhi, H., P. Lin, R.-H. Zhang, F. Chai and Hailong Liu, 2019: Salinity Effects on the 2014 Warm ‘Blob’ in the Northeast Pacific,Acta Oceanologic Sinica, in press.
3.Tian, F., R.-H. Zhang, and X. Wang, 2019: Factors affecting interdecadal variability of air-sea CO2 fluxes in the tropical Pacific, revealed by an ocean physical-biogeochemical model , Climate Dynamics, in press. DOI: 10.1007/s00382-019-04766-5
4.Wei, Y., H. Wang, and R.-H. Zhang, 2019: Mesoscale wind stress-SST coupled perturbations in the Kuroshio Extension. Progress in Oceanography. 172: 108-123.
5.Hu, Junya, Zhang, R.-H. and Chuan Gao, 2019: A Hybrid Coupled Ocean-atmosphere Model and its Simulation of ENSO and Atmospheric Responses, Adv. Atmos. Sci., 36: 643-657. doi: 10.1007/s00376-019-8197-8
6.Zhang, R.-H. , F. Tian, A. J. Busalacchi, and X. Wang, 2019: Freshwater flux and ocean chlorophyll produce nonlinear feedbacks in the tropical Pacific, J. Climate, 32(7), 2037–2055. DOI: 10.1175/JCLI-D-18-0430.1
7.Tian, F., R.-H. Zhang, and X. Wang, 2019: A positive feedback onto ENSO due to tropical instability wave (TIW)-induced chlorophyll effects in the Pacific, Geophys. Res. Lett., in press. DOI: 10.1029/2018GL081275
8.Zhu, Y. & R.-H. Zhang, 2019: A modified vertical mixing parameterization for its improved ocean and coupled simulations in the tropical Pacific, J. Phys. Oceanogr., in press. DOI: 10.1175/JPO-D-18-0100.1.
9.Zhi, H., R.-H. Zhang, P. Lin, and P. Yu, 2018: Interannual salinity variability in the tropical Pacific in CMIP5 simulations, Adv. Atmos. Sci., 36(4): 378-396. DOI: 10.1007/s00376-018-7309-1.
10.Pei, Y., R.-H. Zhang, and D. Chen. 2018: Quantifying the roles of different physical processes in upper ocean responses to typhoon-induced wind forcing, Science China: Earth Sciences, 62(4): 684-692.
11.Tang, Youmin Tang, Rong-Hua Zhang, Ting Liu, Wansuo Duan, Dejian Yan, Fei Zheng, Hongli Ren, Tao Lian, Chuan Gao, Dake Chen and Mu Mu, 2018: Progress in ENSO prediction and predictability study, National Science Review, 5(6):826-839. DOI: 10.1093/nsr/nwy105. 12.Tian, F., R.-H. Zhang, and X. Wang, 2018: A coupled ocean physics-biology modeling study for tropical instability wave-induced chlorophyll impacts in the Pacific, J. Geo. Res., 123,5160-5179. DOI:10.1029/2018JC013992
13.Gao, Jiaxiang, Rong-Hua Zhang, and Hongna Wang, 2018: Mesoscale SST Perturbation-induced Impacts on Climatological Precipitation in the Kuroshio-Oyashio Extension Region, as Revealed by the WRF Simulations, J. Oceanology and Limnology, in press.
14.Zhang, R.-H. , F. Tian and X. Wang, 2018: A new hybrid coupled model (HCM) of atmosphere and ocean physics and biology (AOPB) in the tropical Pacific. J. Adv. Model. Earth Syst., 10,1901-1923. DOI: 10.1029/2017MS001250
15.Li, Shan, Shaoqing Zhang, Zhengyu Liu, Lv Lu, Jiang Zhu, Xuefeng Zhang, Xinrong Wu, Ming Zhao, Gabriel. A. Vecchi, Rong-Hua Zhang, and Xiaopei Lin, 2018: Estimating Convection Parameters in the GFDL CM2.1 Model using Ensemble Data Assimilation, J. Adv. Model. Earth Syst., in press. DOI: 10.1002/2017MS001222.
16.Tao, L., C. Gao, and R.-H., Zhang, 2018: Model parameter-related optimal perturbations and their contributions to El Ni?o prediction errors, Climate Dynamics, in press. DOI: 10.1007/s00382-018-4202-7
17.Zhu, Y. & R.-H. Zhang, 2018: An Argo-derived background diffusivity parameterization for improved ocean simulations in the tropical Pacific, Geophys. Res. Lett., 45:1509-1517, DOI: 10.1002/2017GL076269.
18.Tao, L., R.-H., Zhang, and C. Gao, 2018: ENSO predictions in an ICM influenced by removing initial condition errors in the sensitive areas: A target observation perspective, Adv. Atmos. Sci., 35(7): 853-867.
19.Zhang, R.-H. , F. Tian and X. Wang, 2018: Ocean chlorophyll-induced heating feedbacks on ENSO in a coupled ocean physics-biology model forced by prescribed wind anomalies, J. Climate, 31:1811-1832, .
20.Gao, C., R.-H. Zhang, Xinrong Wu and Jichang Sun, 2018: Idealized experiments for optimizing model parameters using a 4D-Variational method in an intermediate coupled model of ENSO, Adv. Atmos. Sci., 35: 410-422, doi: 10.1007/s00376-017-7109-z.
21.Zhu, Y. & R.-H. Zhang, 2018: Scaling wind stirring effects in an oceanic bulk mixed layer model with application to an OGCM of the tropical Pacific, Climate Dynamics, 51,1927-1946. DOI: 10.1007/s10872-017-0432-2
22.Zhang, R.-H. , L. Tao and C. Gao, 2018: An improved simulation of the 2015 El Ni?o event by optimally correcting the initial conditions and model parameters in an intermediate coupled model, Climate Dynamics, in press. DOI:10.1007/s00382-017-3919-z.