ZHANG Shaoqing
Release date: 2019-05-12

Prof. ZHANG Shaoqing


Mailing Address: 238 Songling RD, Qingdao, 266100, China

Phone/Fax: 86-532-55782853

E-mail: szhang@ouc.edu.cn


  • 1987.07-2000.04

Major in Meteorology, Florida State University, USA, PhD

  • 1996.09- 1998.06

Major in Meteorology, Florida State University, USA, MSc

  • 1988.09- 1991.06

  • 1981.09- 1985.06

Major in Weather Dynamics, Nanjing Institute of Meteorology, China, MSc

Major in Weather Dynamics, Nanjing University, China, BSc.

Professional Employment:

  • 2016.12-present

  • 2008-2016

  • 2002-2008

  • 2000-2002

  • 1996-1999

  • 1995-1996

  • 1985-1995

Senior  Professor, Leader of Regional Climate Prediction Initiative, Key  Laboratory of Physical Oceanography (POL), Ministry of Education, Ocean  University of China; Qingdao  National Laboratory for Marine Science and Technology (QNLM) – Regional  coupled model and data assimilation; Regional weather and climate  predictions; High-resolution regional coupled model and initialization  for seamless numerical weather-climate studies; Extended-range  prediction mechanism study and system development

Meteorologist & Oceanographer, GFDL/OAR/NOAA/DOC

Research Scientist I, II, UCAR/GFDL, Princeton University

Visiting Scientist, AOS/Princeton University

Research Assistant, Department of Meteorology, Florida State University

Visiting Scientist, EMC/NCEP

Branch Chair, Engineer, National Meteorological Center of China –

Atmospheric model and numerical weather prediction

Research Interests:

  • Physical OceanographyAtmosphere-Ocean Coupled Modeling and Data Assimilation, Earth System Modeling and Prediction

  • Climatology and Climate SystemsClimate  Analysis and Prediction, Reconstruction of Historical Typhoon  Distribution and Variability, Extended-Range and Seamless  Weather-Climate Studies


  • Leading  the development of the world's first coupled mode data assimilation  system, representing NOAA to participate the IPCC-AR5, as the only  system that could seamlessly produce seasonal-interannual to  interdecadal predictions

  • Leading  the studies on the theory and algorithm of coupled model parameter  estimation to alleviate the influence of systematic errors of climate  models on climate estimation and prediction

  • Leading the studies on the impact of typhoon’s initialization on climate analysis and prediction


  1. HU  Huiqin, HUANG Fei*, ZHANG Shaoqing, RUAN Chengqing, GAO Shanhong, and  LI Pengyuan. Case Study of Fog Predictability for an Event with  Cold-Front Synoptic Pattern.Journal of Ocean University of China: 20191811in press

  2. Yu, X., S. Zhang*,  J. Li, L. Lu, Z. Liu, M. Li, H. Yu, G. Han, X. Lin, L. Wu, P. Chang,  2018: A Multi-Timescale EnOI-like High-Efficiency Approximate Filter for  Coupled Model Data Assimilation. Journal of Advances in Modeling Earth Systems, early publication online.DOI: 10.1029/2018MS001504

  3. Shao-Qing ZHANG,  Yang LIU*, Xiao-Hui MA, Hong-Na WANG, Xue-Feng ZHANG, Xiao-Lin YU, Lv  LU. The ‘Two oceans and one sea’ extended range numerical prediction  system with an ultra-high resolution atmosphere-ocean-land regional  coupled model. Atmospheric and Oceanic Science Letters: 20181674-2834

  4. Shaoqing Zhang*,  Y. Xie, F. Counllion, X. Ma, P. Yu and Z. Jin. Regional Coupled Model  and Data Assimilation. Advances in Meteorology: 2018, 1-2.

  5. Huaming Yu*, Jiangyu Li, Kejian Wu, Zhifeng Wang, Haiqing Yu, Shaoqing Zhang, Yijun  Houf, Ryan M. Kelly. A global high-resolution ocean wave model improved  by assimilating the satellite altimeter significant wave height.International Journal of Applied Earth Observation and Geoinformation: 2018 (70)43–50.

  6. Jong-YeonPark*, Charles A Stock, Xiaosong Yang, John P Dunne, Anthony Rosati, Jasmin G John, andShaoqing Zhang. Modeling Global Ocean Biogeochemistry with Physical Data Assimilation: A Pragmatic Solution to the Equatorial Instability. Journal of Advances in Modeling Earth Systems: 2018, 10(3).

  7. Shan Li, Shaoqing Zhang*,  Zhengyu Liu, Lv Lu, Jiang Zhu, Xuefeng Zhang, Xinrong Wu, Ming Zhao,  Gabriel A. Vecchi, Rong‐Hua Zhang, Xiaopei Lin. Estimating Convection  Parameters in the GFDL CM2.1 Model Using Ensemble Data Assimilation. Journal of Advances in Modeling Earth Systems: 2018410,445-448.

  8. Chang, Y. S*, Zhang, S.,  Rosati, A., Vecchi, G. A., Yang, X. An OSSE Study for Deep Argo Array  using the GFDL Ensemble Coupled Data Assimilation System. Ocean Science Journal: 201820141,445-448.

  9. Chang LIU, Shaoqing ZHANG*, Shan LI, Zhengyu LIU. Impact of the Time Scale of Model Sensitivity Response on Coupled Model Parameter Estimation. Advances in Atmospheric Sciences: 2017,34(11),1346-1357.

  10. H. Hu, Q*. Zhang, J. Sun, C. Ruan, F. Huang, S. Zhang. Impact of high-frequency observations on fog forecasting: a case study of OSSE. Tellus A:2017,69(1),1-16.

  11. H. Fu, J. Yang*, W. Li, X. Wu, G. Han, Y. Xie, S. Zhang,  X. Zhang, Y. Cao and X. Zhang. A Potential Density Gradient Dependent  Analysis Scheme for Ocean Multi-Scale Data Assimilation. Advances in Meteorology:2017,2017,1-13.

  12. Y. Zhao, X. Deng, S. Zhang*, C. Liu. Impact of an observational time window on coupled data assimilation: simulation with a simple climate model. Nonlinear Processes in Geophysics/EGU Journal: 2017,24(4),1-20.

  13. Xiaolin Yu, Shaoqing Zhang*, Xiaopei  Lin, and Mingkui Li. Insights on the role of accurate sate estimation  in coupled model parameter estimation by a conceptual climate model  study. Nonlinear Processes in Geophysics: 2017,24(2),125-139.

  14. F. Lu*, Z. Liu*, S. Zhang,  R. Jocob. Assessing extratropical impact on the tropical bias in  coupled climate model with regional coupled data assimilation. Geophysical Research Letters/AGU Journal: 2017,44(7),3384-3392.

  15. Feiyu Lu*, Zhengyu Liu*, Yun Liu, Shaoqing Zhang,  Robert Jacob. Understanding the control of extratropical atmospheric  variability on ENSO using a coupled data assimilation approach. Climate Dynamics: 2017,489-10,3139-3160.

  16. Jun Cheng*, Zhengyu Liu*, Shaoqing Zhang,  Wei Liu, Lina Dong, Peng Liu, Hongli Li. Reduced interdecadal  variability of Atlantic Meridional Overturning Circulation under global  warming. Proceedings of the National Academy of Sciences of USA: 2016,113(12),3175-3178.

  17. Jun Cheng*, Zhengyu Liu*, Shaoqing Zhang,  Wei Liu, Lina Dong, Peng Liu, Hongli Li. Reply to Parker: Robust  response of AMOC interdecadal variability to future intense warming. Proceedings of the National Academy of Science of the United States of America: 2016,113(20), E2762-E2763.

  18. H Fu, X Wu, W Li*, Y Xie, G Han, S Zhang.  Reconstruction of typhoon structure using 3-dimensional doppler radar  radial velocity data with the multi-grid analysis: a case study in an  idealized simulation context. Advances in Meteorology: 2016,2016(3),1-10.

  19. WU Xinrong*, S Zhang,  Z Liu. Implementation of a One-Dimensional Enthalpy Sea-Ice Model in a  Simple Pycnocline Prediction Model for Sea-Ice Data Assimilation  Studies. Advances in Atmospheric Sciences:2016,33(2),193-207.

  20. Huaran Liu*, Feiyu Liu, Zhengyu Liu, Yun Liu, Shaoqing Zhang. Assimilating Atmosphere Reanalysis in Coupled Data Assimilation. Journal of Meteorological Research: 2016,30(4),572-582.

  21. YS Chang*, S Zhang. XBT Effects on the Global Ocean State Estimates Using a Coupled Data Assimilation System. Terrestrial Atmospheric & Oceanic Sciences:2016,27(6),1019-1031.

  22. Shan Li*, Shaoqing Zhang,  Zhengyu Liu, Xiaosong Yang, Anthony Rosati, Jean-Christophe Golaz, and  Ming Zhao. The Role of Large-Scale Feedbacks in Cumulus Convection  Parameter Estimation Journal of Climate:2016,29(11),4099-4119.


 2017, Taishan Scholar, China

 2014, Gold Medal Award for Distinguished Achievement in The Federal Service, Untied States Department of Commerce, USA

 2008, NOAA OAR Outstanding Scientific Paper Award, National Oceanic and Atmospheric Administration, USA

 1995, Third Prize of the 6th Youth Paper Symposium, National Meteorological Centre, China

 1994, First Prize of the 5th Youth Paper Symposium, National Meteorological Centre, China

 1994, First Prize of Development and Progress of Meteorological Science and Technology, National Meteorological Administration, China

 1994, Award for Excellent Academic Thesis, Beijing meteorological society, China

Research GRANTS 


Project Type



Fund (million Yuan)

The  “Two oceans and one sea” extended range numerical prediction system  with an ultra-high resolution atmosphere-ocean-land regional coupled  model

National key research and development projects


ZHANG Shaoqing

15.74 mil

A study of the high efficiency approximate algorithm of ensemble Kalman filter

Normal NSFC project


ZHANG Shaoqing


A study of coupled model and data assimilation on key physical processes at sea-air interface

NSFC-Key project


ZHANG Shaoqing