基本信息
彭世球男博导中国科学院南海海洋研究所
电子邮件： speng@scsio.ac.cn
通信地址： 广州新港西路164号
邮政编码： 510301

研究领域海气相互作用、海洋数值模拟与资料同化、中小尺度动力过程及物理参数化


招生信息
招生专业070701-物理海洋学
070601-气象学

招生方向海洋动力过程与海气相互作用，海洋大气数值模拟与资料同化
中小尺度动力过程及物理参数化
区域与全球气候变率及机理


教育背景1998-08--2004-07Florida State University博士
1991-09--1994-05中国气象科学研究院硕士
1987-09--1991-06中国海洋大学学士

学历-- 博士


学位 -- 博士


工作经历
工作简历2009-09~现在,中国科学院南海海洋研究所,研究员
2008-01~2009-09,North Carolina State University,Research Assistant Professor
2004-08~2007-12,North Carolina State University,博士后副研究员
1994-06~1998-07,中国气象科学研究院,助理研究员

社会兼职2015-01-01-今,《热带海洋学报》编委,
2014-01-01-今,《应用海洋学报》编委,
2013-01-01-今,Journal of Physical Oceanography审稿人,
2012-01-01-今,《海洋预报》编委,
2011-01-01-今,Journal of Geophysical Research审稿人,
2010-01-01-今,Monthly Weather Review审稿人,


教授课程海洋与气候变化
海洋环流与气候


专利与奖励
奖励信息（1） 2016年海洋科学技术奖, 二等奖, 省级, 2016
（2） 海洋工程科学技术奖, 二等奖, 国家级, 2012

专利成果

科研活动
科研项目（ 1 ） 黑潮入侵南海的可预报性及适应性观测研究, 主持,国家级,2014-01--2017-12
（ 2 ） 中国再分析资料中卫星微波和红外遥感资料的质量控制和同化, 参与,国家级,2014-01--2016-12
（ 3 ） 主流系区域海洋模式完善和发展, 主持,国家级,2013-07--2017-12
（ 4 ） 南海及周边地区海洋上层变率对全球气候的反馈作用, 参与,国家级,2014-01--2018-12
（ 5 ） 珠三角地区极端天气与海洋灾害预报预警系统研发, 主持,省级,2016-01--2018-12
（ 6 ） 广东省海洋灾害预警预报系统研发, 主持,省级,2015-10--2018-09
（ 7 ） 南海和吕宋海峡的潮致混合参数化及其对南海深层环流的影响机理研究, 主持,国家级,2017-01--2020-12
（ 8 ） 河北省精细化格点海洋天气预报预警业务系统, 主持,省级,2018-08--2021-08

参与会议（1）Tidal Mixing Estimation in the Andaman Sea Based on the Internal Tide Energetics2018-06-03
（2）“全球变暖背景下‘海上丝路’海洋环境演变”防灾减灾科普专题讲座2018-02-08
（3）Tidal Mixing in the Andaman Sea: An Estimate Based on the Internal Tide Energetics印度洋-太平洋动力学及其在季风变化中的作用会议2017-09-19
（4）报告：The Decadal Variation of the Salinity in the Indonesian Seas and its Link to the Change of Tidal Mixing Strength2017-08-05
（5）Tidal Mixing in the Andaman Sea : An Estimate Based on the Internal Tide Energetics第九届中泰海洋科技合作研讨会2017-05-30
（6）Ocean's Interior Reconstruction from Satellite-Derived Sea Surface Date2016-08-01
（7）A Reanalysis Dataset of the South China Sea2016-08-01
（8）The application of CNOP in the target observations for a winter storm in the middle-lower branches of Yangtze RiverPeng, Shiqiu2012-04-23
（9）A regional air-sea coupled model for the South China Sea and its improvement in the simulation of the intensity of typhoons中国科学院大气物理研究所的学术年会彭世球2011-12-28
（10）Application of 4D-VAR in Storm Surge Simulation by Correcting the Errors in the Initial Conditions and Wind Stress Peng, Shiqiu2010-06-04


合作情况
项目协作单位

指导学生已指导学生
赖志娟博士研究生070701-物理海洋学
刘贝硕士研究生070701-物理海洋学
曾学智博士研究生070701-物理海洋学
王品强硕士研究生070701-物理海洋学
刘磊博士研究生070701-物理海洋学
朱宇航硕士研究生070701-物理海洋学
王晓玮博士研究生070701-物理海洋学
刘谊硕士研究生070701-物理海洋学
现指导学生
朱宇航博士研究生070701-物理海洋学
廖嘉文硕士研究生070701-物理海洋学
张华硕士研究生070701-物理海洋学

发表的主要论文(*通信作者)

1. Shiqiu Peng*, Xuezhi Zeng, and Zhijin Li, 2016: A Three-Dimensional Variational Data Assimilation System for the South China Sea: Preliminary Results from Observing System Simulation Experiments. Ocean Dynamic, 66(5), 737-750.
2. Xiaowei Wang, Shiqiu Peng*, Zhiyu Liu, Rui Xin Huang, Yu-Kun Qian and Yineng Li, 2016: Tidal Mixing in the South China Sea: An Internal-Tide-Energetics-Based Estimate. Journal of Physical Oceanography, 46(1), 107-124.
3. Yu-Kun Qian, C X Liang, Shiqiu Peng*, S. Chen, and S. Wang, 2016: A Horizontal Index for the Influence of Upper-level Environmental Flow on Tropical Cyclone’s Intensity. Weather and Forecasting, 31, 237-253.
4. Qian, Y.-K., C.-X. Liang, Z. Yuan, S. Peng, J. Wu, and S. Wang, 2016: Upper-tropospheric environment–tropical cyclone interactions over the western North Pacific: A statistical study. Adv. Atmos. Sci., 33, 614-631.
5. Shiqiu Peng* and Yineng Li, 2015: A parabolic model of drag coefficient for storm surge simulation in the South China Sea. Scientific Reports. DOI: 10.1038/srep15496.
6. Shiqiu Peng*,Yu-kun Qian, Rick Lumpkin, Yan Du, Dongxiao Wang and Ping Li， 2015：Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part I: Pseudo-Eulerian Statistics. Journal of Physical Oceanography， 45（2）：441-458.
7. Shiqiu Peng*,Yu-kun Qian, Rick Lumpkin, Ping Li, Dongxiao Wang and Yan Du， 2015：Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics. Journal of Physical Oceanography，45（2）：459-477.
8. Shiqiu Peng*, Yineng Li, Xiangquan Gu, Shumin Chen, Dongxiao Wang, Hui Wang, Shuwen Zhang, Weihua Lv, Chunzai Wang, Bei Liu, Duanling Liu, Zhijuan Lai, Wenfeng Lai, Shengan WANG, Yerong Feng, Junfeng Zhang, 2015: A real-time regional forecasting system in the South China Sea and its performance in the track forecasts of tropical cyclones during 2011-2013. Weather and Forecast, 30,471-485.
9. S. Chen, S., Y.-K. Qian, and Shiqiu Peng*，2015：Effects of various combinations of boundary layer schemes and microphysics schemes on the track forecasts of tropical cyclones over the South China Sea. Natural Hazards, 78,61-74.
10. Xuezhi Zeng , Shiqiu Peng*, Zhijin Li , Yiquan Qi , Rongyu Chen,2014, A reanalysis dataset of the South China Sea. Scientific Data：40052, DOI: 10.1038/sdata.2014.52.
11. Shiqiu Peng*, Xiangde Xu, Yu-Kun Qian, Zhijuan Lai, Sai Hao,Shumin Chen, Hongxiong Xu, Dongxiao Wang, Johnny C. L. Chan, Hao Zhou, & Duanling Liu，2014: On the mechanisms of the recurvature of super typhoon Megi. Scientific Reports. DOI :10.1038/srep04451.
12. Yu-Kun Qian and Shiqiu Peng*, Chang-Xia Liang and Rick Lumpkin, 2014, On the Estimation of Lagrangian Diffusivity, 2014: Influence of Nonstationary Mean Flow. Journal of Physical Oceanography , 44（10）：2796-2811.
13. Yineng Li, Shiqiu Peng*, Jia Wang, and Jing Yan, 2014, Impacts of non-breaking wave-stirring-induced mixing on the upper ocean thermal structure and typhoon intensity in the South China Sea. Journal of Geophysical Research, 119（8）：5052-5070.
14. Lei Liu, Shiqiu Peng*, Jinbo Wang and Rui Xin Huang, 2014: Retrieving density and velocity fields of the Ocean's Interior from Surface Data. Journal of Geophysical Research, 119（12）：8512-8529.
15. Yineng Li, Shiqiu Peng* and Duanling Liu, 2014: Adaptive Observation in the South China Sea using CNOP approach based on a 3-D ocean circulation model and its adjoint model. Journal of Geophysical Research, 119(12): 8973-8986.
16. Xuezhi Zeng, Igor M. Belkin, Shiqiu Peng*, and Yineng Li, 2014: East Hainan upwelling fronts detected by remote sensing and modelled in summer. International Journal of Remote Sensing. DOI :10.1080/**.2014.916443
17. Zhijuan Lai, Sai Hao, Shiqiu Peng*, Bei Liu, Xiangqian Gu and Yu-Kun Qian, 2014: On improving Tropical Cyclone Track Forecasts Using a Scale-Selective Data Assimilation Approach: A Case study. Natural Hazards. DOI :10.1007/s11069-014-1155-y
18. Yineng Li, Shiqiu Peng*, Jing Yan, Lian Xie, 2013, On improving storm surge forecasting using an adjoint optimal technique. Ocean Modelling. 72, 185-197.
19. Peng S.*, Y. Li, & L. Xie, 2013, Adjusting the wind stress drag coefficient in storm surge forecasting using an adjoint technique, Journal of Atmospheric and Oceanic Technology. 30,590-608.
20. Qian Y., Shiiqu Peng*, and Y. Li, 2013, Eulerian and Lagrangian statistics in the South China Sea as deduced from surface drifters. J. Phys. Oceanogr. 43(4), 726-743.
21. Xu Xiangde, Shiqiu Peng*, Yang Xiangjing, Xu Hongxiong, Daniel Q Tong, Wang Dongxiao, Guo Yudi, Johnny C L Chan, Chen Lianshou, Yu Wei, Li Yineng, Lai Zhijuan, Zhang Shengjun, 2013. Does warmer China land attract more super typhoons? Scientific Reports 3 : 1522 | DOI: 10.1038/srep01522
22. Lichuan Wu, Yuanqiao Wen, Shiqiu Peng*, Jinfeng Zhang and Changshi Xiao, 2013, Optimizing the routing of ship's tropical cyclone avoidance based on the numerical forecasts. Natural Hazards.VOLUME 67.| DOI: 10.1007/s11069-013-0729-4.
23. Li, Y.N., S.Q. Peng*, Yang, W., Wang, D.X., 2012, Numerical simulation of the structure and variation of upwelling off the east coast of Hainan Island using QuikSCAT winds. Chinese Journal of Oceanology and Limnology 30, 1068-1081.
24. Li Yineng, S. Q. Peng*, Zeng Xuezhi, 2012. Observations and Simulations of the Circulation and Mixing around the Andaman-Nicobar Submarine Ridge. Atmospheric and Oceanic Science Letters 5(4):319-323.
25. Peng S.*, Liu D., Sun Z., and Li Y., 2012, Recent advances in regional air-sea coupled models. Sci China Earth Sci, 55, 1391–1405, doi:10.1007/ s11430-012- 4386-3
26. Yang, L., Wang, D.X.*, Peng, S.Q., 2012, Comparison between MM5 simulations and satellite measurements during Typhoon Chanchu (2006) in the South China Sea. Acta Oceanol Sin 31, 33-44.
27. Zeng Xuezhi, Li Yineng, Shiqiu Peng*, 2012. Analysis of Equatorial Currents Observed by Eastern Indian Ocean Cruises in 2010 and 2011. Atmospheric and Oceanic Science Letters 5(4):280-283.
28. Yeqiang Shu, Dongxiao Wang, Jiang Zhu，Shiqiu Peng*, The 4-D structure of upwelling and Pearl River plume in the northern South China Sea during summer 2008 revealed by a data assimilation model, Ocean Modelling, 36, pp. 228-241, 2011, DOI information: 10.1016/j.ocemod.2011.01.002.
29. Lian Xie, Bin Liu, and Shiqiu Peng, 2010: Application of scale-selective data assimilation to tropical cyclone track simulation. J. Geophys. Res., 115, D17105, doi:10.1029/2009JD013471.
30. Peng, S.*, and Zou X. (2010), Impact on quantitative precipitation forecasts of 4D-Var rainfall data assimilation with a modified digital filter in favor of mesoscale gravity waves: A case study, J. Geophys. Res., 115, D23111, doi:10.1029/2010JD013993.
31. Peng, S., Xie L.*, Liu B., and F. Semazzi, 2010), Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction, Monthly Weather Review, 138(4), 1307-1318.
32. Xie, L., Liu B.*, and S. Peng, 2010, Application of scale-selective data assimilation to tropical cyclone track simulation. J. Geophys. Res., 115, D17105, doi:10.1029/2009JD013471.
33. Peng, S., Xu X.*, Shi X., Wang X., Zhu Y., and Pu J, (2009), The early-warning effects of assimilation of the observations over the large-scale slope of the “world roof” on its downstream weather, Chin. Sci. Bull., 54(4), 706-710.
34. Peng, S.-Q.,L. Xie and Len J. Pietrafesa, 2007: Correcting the Errors in the Initial Conditions and Wind Stress in Storm Surge Simulation Using an Adjoint Optimal Technique. Ocean modeling, Vol. 18, Issues 3-4, 175-193.
35. Peng, S.-Q., and L. Xie, 2006: Effect of Determining Initial Conditions by Four-Dimensional Variational Data Assimilation on Storm Surge Forecasting. Ocean modelling, Vol. 14, Issues 1-2, 1-18.
36. Peng, S.- Q., and X. Zou, 2004: Assimilation of Ground-Based GPS Zenith Total Delay and Rain Gauge Precipitation Observations Using 4D-Var and Their Impact on Short-Range QPF. J. Met. Soc. Japan, 82, 491-506.
37. Peng, S.- Q. , and X. Zou, 2002: Assimilation of NCEP Multi-Sensor Hourly Rainfall Data Using 4D-Var Approach: A Case Stud of the Squall Line on 5 April 1999. J. Met. Atm. Phy., Vol. 81, No. 3-4, 237-255.
38. Peng, S.- Q. , and X. Zou, 2001: Assimilation of Multi-Sensor Rainfall Observation for Improved Quantitative Precipitation Forecasts. 9th AMS Conference on Mesoscale Processes, July 30- August 2, 2001, Ft. Lauderdale, Florida.
39. Xu, Xiangde, Li Zhou, and S.- Q. Peng, 1997: The Numerical Experiment on Itself-Feedback in Land-Atmosphere Process and Drought Forecasting Model over North China, The Progress of Study on Agricultural Drought in North China, Chinese Meteorological Press.
40. Xu, Xiangde, S.- Q. Peng, and Q.- J. Miao, 1997: The Three-dimensional Structure of the Soil Moisture over North China, The Progress of Study on Agricultural Drought in North China, Chinese Meteorological Press.
41. Peng, S.- Q., and Jijia Zhang, 1996: The Relationships between the Teleconnection Patterns of Northern Hemisphere and the Precipitation in China, A Collection of Research Thesis on Long-rang Forecast, Chinese Meteorological Press.
42. Zhang, Jijia, and S.- Q. Peng, 1993: The Numerical Experiment on the Teleconnection Patterns of Northern Hemisphere, Journal Applied Meteorology.
?

出版信息
发表论文（1）Assessing the influence of assimilating radar-observed radial winds on the simulation of a tropical cyclone,Natural Hazards,2018,通讯作者
（2）On the Mechanism of the Generation and Interannual Variations of the Summer Upwellings West and Southwest off the Hainan Island,Journal of Geophysical Research: Oceans,2018,通讯作者
（3）东印度洋天气和风暴潮预报系统的初步评估,南京信息工程大学学报（自然科学版）,2018,通讯作者
（4）斯里兰卡近岸风暴潮模拟中风暴潮-潮汐相互 作用特征分析:一个个例研究,Characteristics of tide-surge interaction along Sri Lanka coast:a case study,南京信息工程大学学报（自然科学版）,2018,第3作者
（5）印度尼西亚海内潮生成及传播过程研究,On the generation and propagation of internal tides in the Indonesian Seas,热带海洋学报,2018,通讯作者
（6）Reconstruction of Ocean's Interior from Observed Sea Surface Information,Journal of Geophysical Research: Ocean,2017,通讯作者
（7）Impact of Tidal Mixing on Water Mass Transformation and Circulation in the South China Sea,Journal of Physical Oceanography,2017,通讯作者
（8）Features and Variability of the South China Sea Western Boundary Current from 1992 to 2011,Ocean Dynamics,2016,第5作者
（9）A Three-Dimensional Variational Data Assimilation System for the South China Sea: Preliminary Results from Observing System Simulation Experiments,Ocean Dynamic,2016,第1作者
（10）Application of Scale-Selective Data Assimilation Method in Ocean Modeling: Simulation of a Strong Warm Eddy in Xisha,Journal of Tropical Oceanography,2016,通讯作者
（11）Tidal Mixing in the South China Sea: An Estimate Based on Internal Tide Energetics,Journal of Physical Oceanography,2016,通讯作者
（12）Assimilation Experiments of High Frequency Ground Wave Radar Current in the Northern Coast of the South China Sea (in Chinese),J. Trop. Oceanogr,2016,通讯作者
（13）A Horizontal Index for the Influence of Upper-Level Environmental Flow on Tropical Cyclone Intensity,WEATHER AND FORECASTING,2016,通讯作者
（14）Dynamical Analysis of a Satellite-Observed Anticyclonic Eddy in the Northern Bering Sea,Journal of Geophysical Research: Ocean,2016,通讯作者
（15）Detecting the Structure of Marine Atmospheric Boundary Layer over the Northern South China Sea by Shipboard GPS Sondes,Atmospheric Science Letters,2016,第1作者
（16）Upper-Tropospheric Environment–Tropical Cyclone Interactions over the Western North Pacific: A Statistical Study,Advances In Atmospheric Sciences,2016,第4作者
（17）A parabolic model of drag coefficient for storm surge simulation in the South China Sea,Scientific Reports,2015,第1作者
（18）A real-time regional forecasting system in the South China Sea and its performance in the track forecasts of tropical cyclones during 2011-2013,Weather and Forecast,2015,第1作者
（19）Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part I: Pseudo-Eulerian Statistics,J. Phys. Oceanogr.,2015,第1作者
（20）Characteristics of the Near-Surface Currents in the Indian Ocean as Deduced from Satellite-Tracked Surface Drifters. Part II: Lagrangian Statistics,J. Phys. Oceanogr.,2015,第1作者
（21）Effects of various combinations of boundary layer schemes and microphysics schemes on the track forecasts of tropical cyclones over the South China Sea,Natural Hazards,2015,通讯作者
（22）A Horizontal Index for the Influence of Upper-level Environmental Flow on Tropical Cyclone’s Intensity,Weather and Forecasting,2015,通讯作者
（23）On the estimation of Lagrangian diffusivity: Influence of nonstationary mean flow,J. Phys. Oceanogr. ,2014,通讯作者
（24） ATOVS亮温资料同化在台风数值模拟中的应用,热带海洋学报,2014,通讯作者
（25）A reanalysis dataset of the South China Sea,Scientific Data,2014,通讯作者
（26）Adaptive Observation in the South China Sea using CNOP approach based on a 3-D ocean circulation model and its adjoint model,J. Geophys Res. ,2014,通讯作者
（27）Retrieving density and velocity fields of the Oceans Interior from Surface Data,J. Geophys Res.,2014,通讯作者
（28）On the mechanisms of the recurvature of super typhoon Megi,Scientific Reports ,2014,第1作者
（29）On improving Tropical Cyclone Track Forecasts Using a Scale-Selective Data Assimilation Approach: A Case study,Natural Hazards,2014,通讯作者
（30）East Hainan upwelling fronts detected by remote sensing and modelled in summer,International Journal of Remote Sensing,2014,通讯作者
（31）Impacts of non-breaking wave-induced mixing on the upper ocean thermal structure and typhoon intensity in the South China Sea,J. Geophys Res.,2014,通讯作者
（32）Eulerian and Lagrangian statistics in the South China Sea as deduced from surface drifters,J. Phys Oceanogr,2013,通讯作者
（33）Adjusting the wind stress drag coefficient in storm surge forecasting using an adjoint technique,J. Atmo. and Ocea. Tech.,2013,第1作者
（34）Does warmer China land attract more super typhoons, Scientific Reports ,2013,通讯作者
（35）On improving storm surge forecasting using an adjoint optimal technique, Ocean Modelling,2013,通讯作者
（36）不同微物理方案和边界层方案对超强台风“鲇鱼”路径和强度模拟的影响分析,热带气象学报,2013,通讯作者
（37）条件非线性最优扰动在长江中下游地区冬季暴雨中的应用研究,热带气象学报,2013,通讯作者
（38）Optimizing the routing of ship‘s tropical cyclone avoidance based on the numerical forecasts,Natural Hazards,2013,通讯作者
（39） Recent advances in regional air-sea coupled models,Science China,2012,第1作者
（40）Numerical simulation of the structure and variability of the upwelling off the eastern/northeastern Hainan Island using QuikSCAT wind forcing,Chinese Journal of Oceanology and Limnology,2012,通讯作者
（41）Analysis of Equatorial Currents Observed by Eastern Indian Ocean Cruises in 2010 and 2011,Atmospheric and Oceanic Science Letters,2012,通讯作者
（42）Observations and Simulations of the Circulation and Mixing around the Andaman-Nicobar Submarine Ridge,Atmospheric and Oceanic Science Letters,2012,通讯作者
（43）南海夏季风爆发与南海热含量异常特征的相关分析,热带海洋学报,2011,通讯作者
（44）四维变分资料同化在风暴潮模拟中的平流作用分析,热带海洋学报,2011,通讯作者
（45）The 4-D structure of upwelling and Pearl River plume in the northern South China Sea during summer 2008 revealed by a data assimilation model,Ocean Modelling,2011,通讯作者
（46）Impact on QPFs from 4D-Var Rainfall Data Assimilation with A Modified Digital Filter in Favor of Mesoscale Gravity Waves: A Case Study.,J. Geophys. Res.,2010,第1作者
（47）Application of scale-selective data assimilation to tropical cyclone track simulation.,J. Geophys. Res. ,2010,第3作者
（48）Application of Scale-Selective Data Assimilation to Regional Climate Modeling and Prediction.,Monthly Weather Review,2010,第1作者
（49）The early-warning effects of assimilation of the observations over the large-scale slope of the “world roof” on its downstream weather.,Chinese Science Bulletin,2009,第1作者
（50）Correcting the Errors in the Initial Conditions and Wind Stress in Storm Surge Simulation Using an Adjoint Optimal Technique.,Ocean Modelling ,2007,第1作者
（51）Effect of Determining Initial Conditions by Four-Dimensional Variational Data Assimilation on Storm Surge Forecasting.,Ocean Modelling ,2006,第1作者

发表著作