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Bin Wang

Bin Wang
Mailing Address:
State Key Laboratory of Numerical Modelling for Atmospheric Sciences &Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029, China

Education and Professional Experience:
Ph. D. & 9/1987-2/1992
M. S. The State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)
Institute of Atmospheric Physics (IAP)
Chinese Academy of Sciences (CAS)
P.O.Box 9804, Beijing 100029

B. S. 9/1979-7/1983
University of Xiangtan
Xiangtan 411105, Hunan Province


Statistical forecaster 7/1983 - 8/1987
Meteorological Observatory of Hunan Province
Changsha 410007, Hunan Province

Post Doctor: 7/1992-6/1994
Computing Center, Chinese Academy of Sciences
Beijing 10029

Associate Professor 7/1994-11/1996
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029

Professor 12/1996-present
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029

Deputy Director 12/1996-12/2000
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029

Director 1/2001-present
LASG, Institute of Atmospheric Physics
Chinese Academy of Sciences
P.O.Box 9804, Beijing 100029

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

"Young Scientist Prize" of Chinese Academy of Sciences, 1995
"Outstanding Talent" of the First-level Talent Project of China, 1999
"Special Allowance of Government" of China ministry of personnel, 2001
The case study ? Atmospheric Research ? Bin Wang wrote won "21st Century Achievement Award " of Computerworld Honour in 2003
"Prize of Excellent Paper in the Journals" of China Association for Science and Technology, 2003
"Excellent member of the National Major Project for Basic Research (973) " of China ministry of science and technology, 2004
"First-rate Award of Research work Application, Meteorlogical Prize of Science and Technology" of China Administration of Meteorology, 2005
Member of the Commission for Atmospheric Sciences, World Meteorological Organization (WMO), 2006.2-2009.12
Expert Committee of NSFC Major Research Plan on Network-based Environment for Scientific Activities, Member , 2003-2008
CAS Informatization Expert Committee, Member, 2006-2010

In recent 10 years, my research work are mainly focused on development of atmospheric general circulation model (AGCM) and organizing of coupled climate system model (CCSM) development, new approaches of data assimilation and their applications.

The research work on AGCM include the design of dynamical core of the Grid-point Atmospheric Model of IAP LASG (GAMIL), the improvement of its physical parameterization schemes and its applications to the studies on the Esatern Asian climate. The dynamical core of the GAMIL was designed using a new semi-implicit finite difference scheme with exact physical conservations to solve the primitive equations of baroclinic atmosphere with hydrostatic equilibrium. The scheme incorporates an implicit conservation scheme for the terms of surface gravity-wave propagation along the zonal parallels and an explicit conservation scheme for the other terms of the equations. The use of the implicit conservation scheme for zonal surface gravity-wave equations makes the dynamical core well stable, without any filtering or smoothing at the polar regions. The deduction of standard atmospheric stratification greatly reduces the negative influence of high and steep mountains on model performance. The skillful combination of the implicit and explicit conservation schemes makes the total mass and effective energy exactly conserved by the new dynamical core.

Since 2000, I have been contributing to the organizing and development of the new generation of the LASG climate system model, the Flexible Global Ocean-Atmosphere-Land System (FGOALS) Model. This is a fully-coupled, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states. It consists of a coupler and 4 main component models. It uses the CPL5 from NCAR as the coupler. It has two options of atmospheric component model: one is the grid-point atmospheric model IAP LASG (GAMIL) and the other is the spectral atmospheric model of IAP LASG (SAMIL). Both GAMIL and SAMIL are two state-of-the-art AGCMs developped by the LASG model group. The ocean component of the FGOALS is the LASG/IAP climate ocean model (LICOM), which is a state-of-the-art ocean general circulation model (OGCM) developed in LASG since 1980s. The components of land surface model and sea ice model are respectively the CLM2 and the CSIM4, which are introduced from NCAR. The FGOALS is one of the 24 IPCC AR4 models. It has been used for many applications, including ocean-atmosphere-land interactions in the areas of the Asia, Indian Ocean and Pacific, studies on regional climate (e.g. Asian monsoon, Pacific subtropic high and land-amtosphere system in Tibetan Plateau etc.) and global climate, paleoclimate simulation, and so on. This model provided the important bases and framework for the development of the on-going earth system model of LASG.

Other related studies on model development include the 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, and the evaluation of the atmospheric transport in GAMIL using radon measurements: sensitivity to cumulus convection parameterization, which are not introduced here in detail.

On the study of data assimilation, a new approach to data assimilation, noted as `three-dimensional variational data assimilation of mapped observation (3DVM)', was proposed, based on the new concept of mapped observation and the new idea of backward 4DVar. Like the available 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. Therefore, in numerical test, the new approach produces better IC than 4DVar does for 72-h simulation of TY9914 (Dan), by assimilating the three-dimensional fields of temperature and wind retrieved from the Advanced Microwave Sounding Unit-A (AMSU-A) observations. Meanwhile, it takes only 1/7 of the computing cost that the 4DVar requires for the same initialization with the same retrieved data.
Many work on numerical methods were done in the earily time (before 1997).


Bin Wang and Zhongzhen Ji, 2006, Studies and applications of new numerical methods in atmospheric sciences, Science Press, ISBN 7-03-017172-1, pp208 (in Chinese)

Bin Wang, 2006, Some considerations on development of earth system model in China, Frontier and Prospect of Atmospheric Sciences at the beginning of the 21st Century, Meteorological Press , ISBN 7-5029-4193-2, 76-81 (in Chinese)

Bin Wang, 2006, Advances in LASG climate system model, 2006 Annual Report of Research on Climate Change , China Meteorological Administration and National Center of Climate, 84-88 (in Chinese)

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

Bin Wang, 2004, Numerical modeling of climate change, Proceedings of Climate Change and Ecological Environment Conference, Ed. Bangzhu Chen and Dahe Qin et al. (pp531), Meteorological Press , ISBN 7-5029-3724-2, 64-67 (in Chinese)

Bin Wang, Xiaolei Zou and Jiang Zhu, 2000, Data Assimilation and Its Applications, Proc. Natl. Acad. Sci. USA, Vol. 97, Issue 21, 11143-11144

Bin Wang and Ying Zhao, 2006, A New Approach to Data Assimilation, Acta Meteorologica Sinica, 20(3): 275-282

Bin Wang, 2000, Prospect of GPS/MET data assimilation, Prospect of Atmospheric Sciences at the beginning of the 21st Century, Meteorological Press , ISBN 7-5029-3046-9, 237-240 (in Chinese)

Bin Wang, Zhongzhen Ji, 2003, Construction and numerical tests of the multi-conservation difference scheme, Chinese Science Bulletin, Vol 48, No.10, 1016-1020 (in English); Vol 48, No. 7, 743-746 (in Chinese)

Bin WANG, Zhongzhen JI and Qingcun Zeng, 1998, Some new numerical methods in Geophysical Fluid Dynamics, Proceedings of Third China-Japan Seminar on Numerical Mathematics, Ed. by Zhong-Ci Shi and Masatake Mori, Science Press Beijing New York, P159-169

Bin Wang and Zhongzhen Ji, 1997, An Economical Consistent Dissipation Operator and Its Applications to the Improvement of AGCM, Advances in Atmospheric Sciences, 14(1): 53-58

Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1997, Symplectic Operator Method and Test, Progress in Natural Science, 7(3): 345-353

Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1996, A class of new explicit Runge-Kutta scheme, Progress in Natural Science, 6(2): 195-205

Bin Wang, Qingcun Zeng and Zhongzhen Ji, 1995, Square Conservation System and Hamiltonian System, Science in China, Series A, 38(10): 1211-1219

Bin Wang, 1995, Proof to Precision of Explicit Scheme with Exact Quadratic Conservations, Chinese Science Bulletin, 40(11): 1010-1012 ( in Chinese )

Bin Wang and Zhongzhen Ji, 1995, A Class of Explicit Forward Time-Difference Square Conservative Schemes, Acta Mechanica Sinica, 11(1): 8-14

Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1995, A Preliminary Study on the Theory of Splitting Algorithm, Chinese J. Num. Math. & Appl. 17(3): 12-25

Bin Wang and Zhongzhen Ji, 1995, Splitting Method of the Linear Stage and the Nonlinear Stage, Progress in Natural Science,5(5): 558-564 (in English); 1994, 4(4): 417-422

Bin Wang and Zhongzhen Ji, 1994, Harmonious Dissipative Operators and the Completely Square-conservative Difference Scheme in an Explicit Way, Science in China, Ser. B, 37(4): 462-471

Bin Wang and Zhongzhen Ji, 1994, An Explicit Complete Square Conservative Scheme with Adjustable Time Intervals, Acta Meteorologica Sinica, 8(4): 403-409

Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1994, A New Split-Region Method, Acta Mechanica Sinica, 26(5): 530-535

Bin Wang and Zhongzhen JI, 1994, A New Explicit Scheme keeping Square Conservation Properties Exactly by means of Adjustable Time Intervals, Proceedings of Conference on Scientific and Engineering Computing for Young Chinese Scientists, National Defense Industry Press, Beijing, 377-382

Bin Wang, Zhongzhen Ji and Rongfeng Li, 1994, Application of the Explicit Square Conservative Schemes to Numerical Simulations of Offshore Sea Currents, Tropic Oceanology, 13(3): 1-7 (in Chinese)

Bin Wang, Zhongzhen Ji and Qingcun Zeng, 1993, A time-saving Explicit Scheme for Numerical Integrations, Chinese Science Bulletin, 38(3): 230-234

Bin Wang and Zhongzhen Ji, 1993, An Improved Splitting Method, Advances in Atmospheric Sciences, 10(4): 447-452

Bin Wang and Yongjiu Dai, 1993, An Improved Implicit Iteration Method, Collection of the First China Postdoctoral Academic Congress, National Defense Industry Press, Beijing, 1207-1210

Bin Wang and Zhongzhen Ji, 1990, The construction and preliminary test of the explicit complete square conservative difference schemes, Chinese Science Bulletin,35(20):1724-1728

Bin Wang, 1988, Constructing Square Conservative Difference Scheme by means of undetermined coefficient, Journal of the graduate School, Academia Sinica, 5(2): 84-91(in Chinese)

Lijuan Li, Bin Wang (corresponding author), 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

Juan Liu, Bin Wang (corresponding author), 2007, A New Global Four-Dimensional Variational Ocean Data Assimilation System and its Application, Adv. Atmos. Sci. (revised)

Lijuan Li, Bin Wang and Tianjun Zhou, 2007, Contributions of natural and anthropogenic forcings to the summer cooling over eastern China: An AGCM study, Geophy. Res. Lett, Vol. 34, L18807, doi:10.1029/2007GL030541

Xudong Liang, Bin Wang and Johnny CL Chan, 2007, Tropic cyclone track forecasting with model-Constrained 3DVar,Part I: Description, Q. J. R. Meteorol. Soc., 133(622): 147–153

Xudong Liang, Bin Wang and Johnny CL Chan, 2007, Tropic cyclone track forecasting with model-Constrained 3DVar,Part Ⅱ: Improved cyclone track forecasting using AMSU-A, QuikSCAT and cloud-drift wind data, Q. J. R. Meteorol. Soc., 133(622): 155–165

Lijuan Li, Bin Wang and Tianjun Zhou, 2007, Impacts of external forcing agents on the 20th century global warming, Chinese Science Bulletin, 52(15): 1820-1825 (in Chinese; English version in press)

Junli Yang, Bin Wang, Yufu Guo, Hui Wan and Zhongzhen Ji, 2007, Comparison Between GAMIL, and CAM2 on Interannual Variability Simulation, Adv. Atmos. Sci., 24(1): 82-88

Jiafu Mao, Bin Wang, Yongjiu Dai, F. I. WOODWARD, P. J. HANSON, and M. R. LOMAS, 2007, Improvements of a Dynamic Global Vegetation Model and Simulations of Carbon and Water at an Upland-Oak Forest, Adv. Atmos. Sci., 24(2): 311-322

Lijuan Li, Yuqing Wang, Bin Wang and Tianjun Zhou, 2007, Alleviation of Energy Imbalance in the Grid-point Atmospheric Model of IAP LASG (GAMIL1.1.0), Adv. Atmos. Sci. (revised)

Qianxia Liu, Bin Wang, Meigen Zhang, 2006, A Simulation Study of Tropospheric Ozone over Europe with MOZART-2, Journal of the Graduate School of the Chinese Academy of Sciences, 23(2): 221-230 (in Chinese)

Jiafu Mao, Bin Wang and Yongjiu Dai, 2006, Perspective 011 Terrestrial Ecosystem Models and Their Coupling with Climate System Models, Climatic and Environmental Research, 11(6): 763-771 (in Chinese)

Ying Zhao, Bin Wang, Zhongzhen Ji, Xudong Liang, Guo Deng and Xin Zhang, 2005, Improved track forecasting of a typhoon reaching landfall from four-dimensional variational data assimilation of AMSU-A retrieved data, J. Geophy. Res., 110 (D14101): doi: 10.1029/ 2004JD005267

Xiaoyan Zhang, Bin Wang and Zhongzhen Ji, et al, 2003, Initializations and simulation of a Typhoon Using 4-Dimensional Variational Data Assimilation-Research on Typhoon Herb (1996), Advances in Atmospheric Sciences, Vol. 20, No.4, 612-622

Yunfeng Wang and Bin Wang, 2003, The Variational Assimilation Experiment of GPS Bending Angle, Advances in Atmospheric Sciences, Vol.20, No.3, 479-486

Xin Zhang, Bin Wang, Zhongzhen Ji and Wantao Lin, 2002, Three-dimensional variational data assimilation implemented in numerical modeling for Wuhan torrential rain in July 1998, Progress in Natural Science, 12(6): 445-448 (in English); 12(2):156-160 (in Chinese)

X. Zou, Bin Wang and Hui Liu et al, 2000, Use of GPS/MET Refraction Angles in 3D-Var Analysis, Q. J. R. Meteorol. Soc., 126 (570): 3013- 3040

Xiao, Q., X. Zou, and Bin Wang, 2000, Initialization and Simulation of a Landfalling Hurricane Using a Variational Bogus Data Assimilation Scheme, Mon. Wea. Rev., 128(7): 2252-2269

X. Zou, F. Vandenberghe, Bin Wang, et al., 1999, A Ray-tracing operator and Its Adjoint for the Use of GPS/MET Refraction Angle Measurements, J. Geophys. Res.-Atmospheres, 104(D18): 22301-22318

Zhongzhen Ji, Bin Wang, Zhuo Liu and Qingcun Zeng, 1994, Some Advances in Computational Geophysical Fluid Dynamics, Progress in Natural Science, 4(6): 688-697

Community service:

PI, Study on High-precision Algorithms of Complex Fluid Problem, the third group of the National Major Project for Basic Rearch (973) "Study on High-performance Scientific Computing", Grant No. 2005CB321703, 7,000,000 Yuan RMB, 2006-2010

PI, Study on characteristics of subseasonal-scale regional weather and climate in Yangtze and Huaihe Valleys in summer, NSFC, Grant No. 40475044, 300,000 Yuan RMB, 2005-2007

Co-PI, The climate variability and predictability in the Eastern Asia and Western Pacific area, NSFC Innovation Group Project, Grant No. 40221503, 8,400,000 Yuan RMB, 2003-2008