基本信息
王斌 男 博导 大气物理研究所
电子邮件：wab@lasg.iap.ac.cn
通信地址：北京朝阳区华严里40号
邮政编码：100029

研究领域

招生信息
招生专业070601-气象学
070620-地球流体力学

招生方向 大气数值模拟、资料同化
大气数值模拟、资料同化、计算地球流体力学


教育背景 1987-09--1992-06 中国科学院大气物理研究所 研究生、博士
1979-09--1983-07 湘潭大学数理系 大学本科、学士

学历 -- 研究生

学位 -- 博士


工作经历Statistical forecaster 7/1983 - 8/1987
Meteorological Observatory of Hunan Province
Changsha 410007, Hunan Province
China
Post Doctor: 7/1992-6/1994
Computing Center, Chinese Academy of Sciences
Beijing 10029
China
Associate Professor, 7/1994-11/1996
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029
China
Professor, 12/1996-present
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029
China
Deputy Director, 12/1996-12/2000
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029
China
Director, 1/2001-10/2010
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029
China
Professor, 7/2009-present
Center for Earth System Science, Tsinghua University
Rm 601, Weiqing Building, Tsinghua University, Beijing 100080
China
Visiting Scientist, 6/1997-3/1998
MMM, Natioanl Center for Atmopsheric Rearch (NCAR)
P.O.Box 3000
Boulder, Colorado 80307-3000
USA
Visiting Scientist, 11/1998-5/1999
Department of Meteorology
Florida State University
Tallahassee, Florida, 32306-3034,
USA
工作简历 In recent 10 years, Bin Wang’s research interests mainly include development of atmospheric general circulation model (AGCM), data assimilation and adaptive observation.
Bin Wang constructed an explicit finite difference scheme with exact conservations of effective energy and mass for solving the primitive equation set of hydrostatic equilibrium atmosphere and designed a unique dynamical core for the Grid-point Atmospheric Model of IAP LASG (GAMIL). The scheme incorporates an implicit scheme with quadratic conservation for the terms of zonal gravity-wave propagation and an explicit scheme with quadratic conservation for the other terms of the equations. The use of the implicit scheme for zonal gravity-wave equations makes the dynamical core well stable, without any filtering or smoothing at the polar regions. The skillful combination of the implicit and explicit schemes with exact quadratic conservation makes the total mass and effective energy exactly conserved by the new dynamical core. In order to reduce the cost of solution to the implicit scheme, he recently proposed a fast algorithm through transforming the vector difference scheme into the scalar one using the major eigen-modes of zonal gravity-waves. This work enables the dynamical core to have high resolution. In addition, Bin Wang was also involved in the research work on improvement of GAMIL physical parameterization schemes and applications of GAMIL to the studies on the Esatern Asian climate, improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest, development of ocean data assimilation system of LICOM for climate prediction by FGOALS, the simulation study of tropospheric ozone over Europe with MOZART22, the evaluation of the atmospheric transport in GAMIL using radon measurements: sensitivity to cumulus convection parameterization, and development of LASG/IAP aerosol model (LIAM).
On the study of data assimilation, some new approaches to variational data assimilation were proposed, including the `three-dimensional variational data assimilation of mapped observation (3DVM)' based on the new concept of mapped observation and the new idea of backward 4DVar, the dimension-reduced projection 4DVar (DRP-4DVar) that uses ensemble method to implement the minimization of 4DVar. Like the standard 4DVar, 3DVM produces an optimal initial condition (IC) that is consistent with the prediction model due to the inclusion of model constraints and best fits the observations in the assimilation window through the model solution trajectory. Different from the 4DVar, the IC derived from 3DVM is located at the end of the assimilation window rather than at the beginning conventionally. This change greatly reduces the computing cost for the new approach, which is almost the same as that of the three-dimensional variational data assimilation (3DVar). Especially, such a change is able to improve assimilation accuracy because it does not need the tangential linear and adjoint approximations to calculate the gradient of cost function. DRP-4DVar minimizes the cost function of 4DVar in the low-dimension sample space, which is easy to implement and much more timesaving than the iterative-based 4DVar procedure using the adjoint technique. This approach shares some common features with EnKF, but it is significantly different from EnKF. First, EnKF is a sequential assimilation approach in which the data and the forecast model are used sequentially in time to produce the analysis fields, while DRP-4Dvar is a non-sequential method, just like the classical 4DVar which simultaneously combines the background and all the observations during the assimilation window in an optimal way. Second, the reduced spaces are different. EnKF is performed on the observational space, while DRP-4DVar is implemented on the sample space and thus is timesaving. Third, DRP-4DVar uses a different technique to diminish the underestimation of background error covariance. Currently, some DRP-4DVar systems have been established based on several regional prediction models such as AREM, GRAPES, MM5 and WRF. These systems have been applied in case studies and operational tests.
Bin Wang also proposed an ensemble-based approach to obtain conditional nonlinear optimal perturbation (CNOP). Comparisons among CNOPs of a simple theoretical model generated by the ensemble-based, adjoint-based, and simplex-search methods, respectively, not only show potential equivalence of the first two approaches in application according to their very similar spatial structures and time evolutions of the CNOPs, but also reveal the limited performance of the third measure, an existing adjoint-free algorithm, due to its inconsistent spatial distribution and weak net growth ratio of norm square of CNOP comparing with the results of the first two methods. The ensemble-based CNOP has been applied to studies on adaptive observations of typhoon and heavy rainfall.
Many work on numerical methods were done in the early time (before 1997).

社会兼职1)Member, the Commission for Atmospheric Sciences (CAS), World Meteorological Organization (WMO), 2006.2-2009.12
2) Member, the Working Group of Coupled Modeling (WGCM), World Climate Research Programme (WCRP), 2009.1-present
3) Member, the Data Assimilation and Observation Strategy Working Group (DAOS WG), The Observing System Research and Predictability Experiment (THORPEX), World Weather Research Programme (WWRP), 2010.7-present
4) Member, the Expert Committee of NSFC Major Research Plan on Network-based Environment for Scientific Activities, 2003-2010
5) Member, the Informatization Expert Committee, Chinese Academy of Sciences, 2006-2010
6) Member, “Expert Committee of Global Change Research Program of Major National Scientific Research Plan”, China Ministry of Science and Technology, 2010-present
7) Executive member of the council, China Energy Society, 2010-present

教授课程 计算地球流体力学

专利与奖励
奖励信息1) Winner, “Young Scientist Prize of Chinese Academy of Sciences”, 1995
2) Winner, “National Science Fund for Outstanding Young Scholar”, 1998
3) First-level Specialist, National Talents Engineering of Ministry of Personnel of China, 1999
4) “Special Allowance of Government” of China Ministry of Personnel, 2001
5) The case study “Atmospheric Research” written by Bin Wang won “21st Century Achievement Award” of Computerworld Honour in 2003
6) “Prize of Excellent Paper” in the Journals of China Association for Science and Technology, 2003
7) “Excellent Member of the National Major Project for Basic Research (973) ”, China Ministry of Science and Technology, 2004
8) “First-rate Award of Research work Application, Meteorlogical Prize of Science and Technology”, China Administration of Meteorology, 2005

出版信息
发表论文First-author papers
[1] B. Wang and X.-W. Tan, 2010, Conditional Nonlinear Optimal Perturbations: Adjoint-Free Calculation Method and Preliminary Test, Monthly Weather Review, 138: 1043-1049, DOI: 10.1175/2009MWR3022.1. (国外SCI)
[2] B. Wang, J.-J. Liu, S.-D. Wang et al, 2010, An Economical Approach to Four-dimensional Variational Data Assimilation, Advances in Atmospheric Sciences, 27(4), 715-727, doi: 10.1007/s00376-009-9122-3. (SCI)
[3] Bin Wang, Xin Xie, and Lijuan Li, 2009, A Review on Some Aspects of Climate Simulation Evaluation, Advances in Atmospheric Sciences, 26(4): 736–747 (SCI)
[4] Bin Wang, Tianjun Zhou, Yongqiang Yu et al, 2009, A Review on Earth System Model Development, Acta Meteorologica Sinica, 23(1): 1-17 (SCIE)
[5] Bin Wang and Xiaowei Tan, 2009, A fast algorithm to obtain CNOP and its preliminary tests in a target observation experiment of typhoon, Acta Meteorologica Sinica, 23(4): 385-400 (SCIE)
[6] 王斌，2009：一种典型的高性能计算:地球系统模拟，物理，38（8）：569-574
[7] Bin Wang, 2008, An Explicit Multi-conservation Finite-difference Scheme for Shallow-water-wave Equation, Journal of Computational Mathematics, 26 (3): 404–409 (SCIE)
[8] Bin Wang and Ying Zhao, 2006, A New Approach to Data Assimilation, Acta Meteorologic Sinica, 20(3): 275-282
[9] Bin Wang, Hui Wan, Zhongzhen Ji, Xin Zhang, Rucong Yu, Yongqiang Yu, Hongtao Liu, 2004, Design of a new dynamical core for global atmospheric models based on some efficient numerical methods, Science in China, Series A, 47(Supp): 4-21 (SCI)
[10] Bin Wang, Zhongzhen Ji, 2003, Construction and numerical tests of the multi-conservation difference scheme, Chinese Science Bulletin, Vol 48, No.10, 1016-1020 (SCI)
[11] Bin Wang, Xiaolei Zou and Jiang Zhu, 2000, Data Assimilation and Its Applications, Proc. Natl. Acad. Sci. USA, Vol. 97, Issue 21, 11143-11144（国外SCI）
[12] Wang Bin and Ji Zhongzhen, 1997, An Economical Consistent Dissipation Operator and Its Applications to the Improvement of AGCM, Advances in Atmospheric Sciences, 14(1): 53-58（CSCD）
[13] Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1997, Symplectic Operator Method and Test, Progress in Natural Science, 7(3): 345-353 (SCIE)
[14] Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1996, A class of new explicit Runge-Kutta scheme, Progress in Natural Science, 6(2): 195-205 (SCIE)
[15] Wang Bin, Zeng Qingcun and Ji Zhongzhen, 1995, Square Conservation System and Hamiltonian System, Science in China, Series A, 38(10): 1211-1219 (SCI)
[16] Wang Bin and Ji Zhongzhen, 1995, A Class of Explicit Forward Time-Difference Square Conservative Schemes, Acta Mechanica Sinica, 11(1): 8-14 (SCIE, EI)
[17] Wang Bin, Ji Zhongzhen and Zeng Qingcun, 1995, A Preliminary Study on the Theory of Splitting Algorithm, Chinese J. Num. Math. & Appl., 17(3): 12-25
[18] 王斌，1995，关于显式平方守恒格式精度的证明，科学通报，40(11)：1010-1012
[19] Wang Bin and Ji Zhongzhen, 1995, Splitting Method of the Linear Stage and the Nonlinear Stage, Progress in Natural Science, 5(5): 558-564
[20] 王斌、季仲贞、肖庆农，2001，大气动力学方程的Hamilton算法，计算物理，18(4): 289-297 (CSCD)
[21] 王斌，季仲贞，曾庆存，1994，一种新的区域分离法，力学学报，26(5)：530-535 (CSCD)
[22] 王斌，季仲贞，李荣凤，1994，显式完全平方守恒差分格式在近岸海流数值模拟中的应用，热带海洋学报，13(3)：1-7 (CSCD)
[23] Wang Bin and Ji Zhongzhen,1994, Harmonious Dissipative Operators and the Completely Square-conservative Difference Scheme in an Explicit Way, Science in China, Ser. B, 37(4): 462-471 (SCI)
[24] Wang Bin and Ji Zhongzhen,1994, An Explicit Complete Square Conservative Difference Scheme with Adjustable Time Step Intervals, Acta Meteorologica Sinica, 8(4): 403-409
[25] Wang Bin and Ji Zhongzhen, 1993, An Improved Splitting Method, Advances in Atmospheric Sciences, 10(4): 447-452 (CSCD)
[26] Wang Bin, Ji Zhongzhen and Zeng Qingcun,1993, A time-saving Explicit Scheme for Numerical Integrations, Chinese Science Bulletin, 38(3): 230-234 (SCI)
[27] Wang Bin and Ji Zhongzhen, 1990, The construction and preliminary test of the explicit complete square conservative difference schemes, Chinese Science Bulletin, 35(20):1724-1728 (SCI)
[28] 王斌，1988，用待定系数法构造平方守恒型差分格式，中国科学院研究生院学报，5(2)：84-91 (CSCD)
Corresponding-author papers
[29] J.-J. Liu, B. Wang*, and Q.-N. Xiao, 2010, An evaluation study of DRP-4DVar approach with Lorenz-96 model. Tellus A (in press) (国外SCI)
[30] J.-J. Liu and B. Wang*, 2010, The structure of background-error covariances in a four-dimensional variational data assimilation system: single-point experiment. Adv. Atmos. Sci., 27(6): 357-361, Doi: 10.1007/s00376-010-9067-6. (SCI)
[31] Zhao, J., B. Wang*, and J. J. Liu, 2010: Impact of analysis-time tuning on the performance of the DRP-4DVar approach. Adv. Atmos. Sci., doi:10.1007/s00376-010-9191-3. (SCI)
[32] J.-J. Liu, B. Wang* and S.-D. Wang, 2010, The structure of background-error covariances in a four-dimensional variational data assimilation system: single-point experiment. Adv. Atmos. Sci., Doi: 10.1007/s00376-010-9067-6. (SCI)
[33] L.-J. Li and B. Wang*, 2010, Influences of two convective schemes on the radiative energy budget in GAMIL1.0. Acta Meteor. Sinica, 24(3): 318-327 (SCIE)
[34] Lijuan Li, Bin Wang*, Yuqing Wang and Hui Wan, 2007, Improvements in Climate Simulation with Modifications to the Tiedtke Convective Parameterization in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), Adv. Atmos. Sci., 24(2): 323-335 (SCIE)
[35] Juan Liu, Bin Wang*, 2007, A New Global Four-Dimensional Variational Ocean Data Assimilation System and its Application, Adv. Atmos. Sci., 25(4): 680-691 (SCIE)

发表著作[36] 王斌，季仲贞，2006，大气科学中的数值新方法及其应用，科学出版社，pp208（专著）

科研活动<div itemscope itemtype="https://schema.org/Person"><a itemprop="sameAs" content="https://orcid.org/0000-0002-3133-7197" href="https://orcid.org/0000-0002-3133-7197" target="orcid.widget" rel="me noopener noreferrer" ><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID iD icon">https://orcid.org/0000-0002-3133-7197</a></div>

科研项目PI, Design of High-efficiency Parallel Computing Algorithms and Parallel Coupler for Earth System Model, National High Technology Research and Development Program of China (863 Program), Grant No. 2010AA012300, 35,000,000 Yuan RMB, 2010-2012
PI, Adaptive data assimilation and its influence on predictions of high-impact weather, China Meteorological Administration R&D Special Fund for Public Welfare (meteorology), Grant no. GYHY, 1,280,000 Yuan RMB, 2010-2011
Co-PI, The climate variability and predictability in the Eastern Asia and Western Pacific area, NSFC Innovation Group Project, Grant No. **, 4,500,000 Yuan RMB, 2009-2011

合作情况
项目协作单位

指导学生已指导学生
刘茜霞博士研究生070601-气象学
凌铁军博士研究生070601-气象学
李立娟博士研究生070601-气象学
程强博士研究生070601-气象学
毛嘉富博士研究生070601-气象学
刘娟博士研究生070601-气象学
梁旭东博士研究生070601-气象学
杨军丽博士研究生070601-气象学
程锐博士研究生070601-气象学
赵明硕士研究生070601-气象学
谭晓伟博士研究生070601-气象学
刘成思博士研究生070620-地球流体力学
李俊博士研究生070620-地球流体力学
王曙东博士研究生070620-地球流体力学
刘娟娟博士研究生070601-气象学
张海玲硕士研究生070601-气象学
赵海贝硕士研究生070620-地球流体力学
王栋梁博士研究生070620-地球流体力学
成巍博士研究生070620-地球流体力学
史湘军博士研究生070620-地球流体力学
公敬博士研究生070620-地球流体力学
谢歆硕士研究生070601-气象学
赵娟博士研究生070620-地球流体力学
杨玉华博士研究生070601-气象学
刘咪咪博士研究生070620-地球流体力学
廖捷博士研究生070601-气象学
李艺苑博士研究生070620-地球流体力学
卢冰博士研究生070620-地球流体力学
董理博士研究生070620-地球流体力学
何明洋硕士研究生070601-气象学
胡宁博士研究生070601-气象学
现指导学生
普业博士研究生070620-地球流体力学
张发波博士研究生070620-地球流体力学
程煜峰博士研究生070620-地球流体力学
王勇博士研究生070601-气象学
申思博士研究生070601-气象学
孙文奇博士研究生070601-气象学
殷旭东博士研究生070601-气象学
马玉芬博士研究生070601-气象学
陈功博士研究生070601-气象学
谢丰博士研究生070601-气象学
李锦熙博士研究生0706Z1-地球流体力学