Prof. ZHANG Shaoqing
Mailing Address: 238 Songling RD, Qingdao, 266100, China
Major in Meteorology, Florida State University, USA, PhD
Major in Meteorology, Florida State University, USA, MSc
Major in Weather Dynamics, Nanjing Institute of Meteorology, China, MSc
Major in Weather Dynamics, Nanjing University, China, BSc.
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
Physical Oceanography：Atmosphere-Ocean Coupled Modeling and Data Assimilation, Earth System Modeling and Prediction
Climatology and Climate Systems：Climate 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
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: 2019，18：11（in press）
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
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: 2018，1674-2834
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.
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.
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).
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: 2018，4（10）,445-448.
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: 2018，2014（1）,445-448.
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.
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.
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.
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.
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.
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.
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: 2017,48（9-10）,3139-3160.
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.
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.
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.
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.
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.
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.
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
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
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
A study of the high efficiency approximate algorithm of ensemble Kalman filter
Normal NSFC project
A study of coupled model and data assimilation on key physical processes at sea-air interface