汪名怀,安徽安庆桐城人,新威尼斯人教授,博士生导师。本科和硕士分别毕业新威尼斯人和北京大学,2009年在美国密西根大学获得大气科学博士学位,2009-2014年就职于美国能源部太平洋西北国家实验室,先后接受博士后训练及担任二级和三级科学家,2014年全职回到新威尼斯人,2014年入选江苏省特聘教授。主要研究方向是气溶胶,云和气候相互作用,有着多年气候模式发展和应用经历,在美工作期间是美国能源部下一代气候模式E3SM开发团队的核心成员,近年主持参与多项国家级科研项目,包括主持国家自然科学基金重点项目和杰出青年基金项目。汪名怀教授在气溶胶、云的模拟及气溶胶-云相互作用领域取得了有国际影响力的成果,迄今已发表SCI 论文70多篇,SCI 总引用2000多次,高影响指数H-index 30。汪名怀目前担任大气与地球系统科学(教育部)国际合作联合实验室主任,国际气溶胶--降雨-气候(ACPC)工作组共同主席, SCI期刊Advance in Atmospheric Sciences编辑和Journal of Geophysical Research-Atmosphere副编辑。


教育经历 

  2009.08  美国密西根大学大气海洋空间系 博士   

  2002.07  北京大学大气科学系 硕士

  1999.07  新威尼斯人大气科学系 学士

  

工作及兼职经历  

2019-现在 Advance in Atmospheric Sciences 编辑

2016.-现在 Journal of Geophysical Research - Atmosphere 副编辑

2018-现在 大气与地球系统科学(教育部)国际合作联合实验室  主任

2014-现在 新威尼斯人 教授

2015-2018 新威尼斯人大气物理系 系主任

2013-2014 美国太平洋西北国家实验室 三级科学家

2011-2013  美国太平洋西北国家实验室 二级科学家

2009-2011  美国太平洋西北国家实验室 博士后  

     

在研项目  

2020-2024 国家自然科学基金杰出青年基金项目, “气溶胶、云与气候相互作用”, 主持

2018-2021 国家自然科学基金重点项目,“气溶胶与天气气候相互作用对我国冬季强霾污染的影响”,主持

2017-2022 国家科技部重点研发计划课题“边界层湍流、低云及浅对流参数化方案研发”,主持

2016-2019 国家科技部重点研发计划“我国东部沿海大气复合污染天空地一体化监测技术”,参与

2016-2018 国家青年人才计划,主持 

2016-2019 国家自然科学基金面上项目“基于观测约束的气溶胶间接气候效应研究”, 主持 

2015-2017 江苏省特聘教授经费,主持 

2015-2017 新威尼斯人引进人才自主启动课题项目,主持

 


Minghuai Wang 

School of Atmospheric Sciences, Nanjing University

163 Xianlin Road, Nanjing, Jiangsu, China, 210023   

Email: Minghuai.Wang@nju.edu.cn; Tel: 01186-25-89681165

Researcher ID: http://www.researcherid.com/rid/E-5390-2011 

Google Scholar: http://scholar.google.com/citations?user=dqLVuOEAAAAJ&hl=en   


EDUCATION   

University of Michigan,  Ann Arbor   Ph.D. 2009   

Peking University  M.S.    2002 

Nanjing University  B.S.    1999


APPOINTMENTS  

2019-present EditorAdvance in Atmospheric Sciences

2016-present Associate Editor, Journal of Geophysical Research-Atmospheres 

2018-present Director, Joint International Research Laboratory of Atmopsheric and Earth System Sciences 

2014-present  Professor , School of Atmospheric Sciences, Nanjing University, Nanjing, China

2015-2018  Head, Department of Atmospheric Physics, Nanjing University, Nanjing, China 

2011-2014  Scientist , Pacific Northwest National Laboratory, Richland, U.S.

2009-2011  Post-doctoral Associate , Pacific Northwest National Laboratory, Richland, U.S.


JOURNAL PUBLICATIONS (* indicates as a corresponding author;  ISI Web of Science citations > 2700 times with h-index 30) 

63. Rosenfeld, D.(*), Zhu Y., Wang M.(*), Zheng Y., Goren T., Yu S.(*), Aerosol-driven droplet concentrations dominate coverage and water of oceanic low level clouds, Science, 363, 6427, doi:10.1126/science.aav05662019.

62. Zhang, Z., Song, H., Ma, P.-L., Larson, V. E., Wang, M., Dong, X., and Wang, J.: Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models, Atmos. Chem. Phys., 19, 1077-1096, https://doi.org/10.5194/acp-19-1077-2019, 2019.

61. Zhang, H., Wang, M.(*), Guo, Z., Zhou, C., Zhou, T., Qian, Y., et al.: Low-cloud feedback in CAM5-CLUBB: Physical mechanisms and parameter sensitivity analysis. Journal of Advances in Modeling Earth Systems, 10, 2844–2864, https://doi.org/10.1029/2018MS001423, 2018.

60. Li, S., Wang, T. J., Huang X., Pu. X., L. MM, Chen, PL, Yang, XQ, Wang, MH, Impact of East Asian Summer Monsoon on Surface Ozone Pattern in China, Journal of Geophysical Research – Atmospheres, 123, 2, 1401-1411, doi: 10.1002/2017JD027190

59. Song, H., Z. Zhang, P. Ma, S. Ghan, and M. Wang: The importance of considering sub-grid cloud variability when using satellite observations to evaluate the cloud and precipitation simulations in climate models, Geoscientific Model Development, 2018, in press. 

58. Lin, G., S. Ghan, M. Wang, P. Ma, R. Easter, M. Ovchinnikov, D. Chand, J. Fan, K. Zhang, H. Wang, and Y. Qian: A multi-scale modeling framework (MMF) model with aerosols explicitly resolved at cloud scale, Journal of Advances in Modeling Earth Systems, doi: 10.1029/2018MS001287, 2018. 

57. Zhang, R., H. Wang, Q. Fu, A. Pendergrass, M. Wang, Y. Yang, P. Ma, and P. Rasch: Local radiative feedbacks over the Arctic based on observed short-term climate variations, Geophysical Research Letters, doi: 10.1029/2018GL077852, 2018. 

56. Bai, H., Gong, C., Wang, M. (*), Zhang, Z., and L'Ecuyer, T.: Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmos. Chem. Phys., 18, 1763-1783, https://doi.org/10.5194/acp-18-1763-2018, 2018.

55. Song, H., Z. Zhang, P. Ma, S.J. Ghan, and M. Wang2018An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB. J. Climate, 312299–2320, https://doi.org/10.1175/JCLI-D-17-0277.1, 2018.

54. Zhang, K., Fu, R., Shaikh, M. J., Ghan, S., Wang, M., Leung, L. R., … Marengo, J. (2017). Influence of superparameterization and a higher-order turbulence closure on rainfall bias over Amazonia in Community Atmosphere Model version 5. J. Geophys. Res. Atmos, 122. 9879–9902, doi: 10.1002/2017JD026576.

53. Takahashi, H.M. LebsockK. SuzukiG. Stephens, M. WangAn Investigation of Microphysics and Sub-grid Scale Variability in Warm Rain Clouds using The A-Train Observations and A Multi-Scale Modeling FrameworkJ. Geophys. Res. Atmos.122, doi:10.1002/2016JD026404, 2017. 

52. Jiang, Y.X.-Q. YangX. LiuD. YangX. SunM. WangA. DingT. Wang, and C. FuAnthropogenic aerosol effects on East Asian winter monsoon: The role of black carbon-induced Tibetan Plateau warmingJ. Geophys. Res. Atmos.12258835902, doi:10.1002/2016JD026237, 2017. 

51. E. Gryspeerdt, J. Quaas, S. Ferrachat, A. Gettelman, S. Ghan, U. Lohmann, H. Morrison, D. Neubauer, D. Patridge, P. Stier, T. Takemura, H. Wang, M. Wang, K. Zhang, Constraining the instantaneous aerosol influence on cloud albedo, Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.1617765114, 2017.

50. C. Zhou, J. E. Penner, G. Lin, X. Liu, and M. Wang, What controls the low ice number concentration in the upper troposphere? Atmos. Chem. Phys., 16, 12411-12424, doi:10.5194/acp-16-12411-2016, 2016. 

49. Elliott, E. J., S. Yu , G. Kooperman , H. Morrison , M. Wang and M. S. Pritchard, 2016. Sensitivity of summer ensembles of superparameterized US mesoscale convective systems to cloud resolving model microphysics and grid configuration, Journal of Advances in Modeling Earth Systems, 08, doi:10.1002/2015MS000567, 2016. 

48. X. Huang, A. Ding, L. Liu, Q. Liu, K. Ding, X. Niu, W. Nie, Z. Xu, X. Chi, M. Wang, J. Sun, W. Guo, and C. Fu: Effects of aerosol-radiation interactions on precipitation during biomass-burning season in East China, Atmos. Chem. Phys., 16, 10063-10082, 10.5194/acp-16-10063-2016, 2016.

47. Huang, X., Zhou, L., Ding, A., Qi, X., Nie, W., Wang, M., Chi, X., Pet?j?, T., Kerminen, V.-M., Roldin, P., Rusanen, A., Kulmala, M., and Boy, M.: Comprehensive modelling study on observed new particle formation at the SORPES station in Nanjing, China, Atmos. Chem. Phys., 16, 2477-2492, doi:10.5194/acp-16-2477-2016, 2016

46. Ding, A. J., X. Huang, W. Nie, J. N. Sun, V.-M. Kerminen, T. Pet?j?, H. Su, Y. F. Cheng, X.-Q. Yang, M. H. Wang, et al., Enhanced haze pollution by black carbon in megacities in China, Geophys. Res. Lett., 43, 2873–2879, doi:10.1002/2016GL067745, 2016. 

45. S. Ghan, M. Wang, S. Zhang, et al., Constraining Anthropogenic Aerosol Effects on Cloud Radiative Forcing Using Present-day Spatiotemporal VariabilityProceedings of the National Academy of Sciences, doi: 10.1073/pnas.1514036113, 2016.

44. Zhang S., Wang, M. (*), Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer, D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H., Lee, Y., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu, C.: On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models, Atmos. Chem. Phys., 16, 2765-2783, doi:10.5194/acp-16-2765-2016, 2016.

43. Thayer-Calder, K., Gettelman, A., Craig, C., Goldhaber, S., Bogenschutz, P. A., Chen, C.-C., Morrison, H., Höft, J., Raut, E., Griffin, B. M., Weber, J. K., Larson, V. E., Wyant, M. C., Wang, M., Guo, Z., and Ghan, S. J.: A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model, Geosci. Model Dev., 8, 3801-3821, doi:10.5194/gmd-8-3801-2015, 2015.

42. H. Yan, Y. Qian, C. Zhao, H. Wang, M. Wang, B. Yang, X. Liu, and Q. Fu, A new approach to modeling aerosol effects on East Asian climate: parametric uncertainties associated with emissions, cloud microphysics and their interactions, Journal of Geophysical Research120, 8905-8924, doi:10.1002/2015JD023442, 2015.

41. Suzuki, K., A. Bodas-Salcedo, M. Wang,, J. Golaz, T. Yokohata, and G. Stephens: Evaluation of the warm rain microphysical processes in global models using the CloudSat/A-Train multi-sensor satellite observations, Journal of Atmospheric Science72, 3996-4014, doi:10.1175/JAS-D-14-0265.1, 2015.

40. Ma, P., P. Rasch, M. Wang, H. Wang, S. Ghan, R. Easter, W. Gustafson, X. Liu, Y. Zhang, H. Ma: How Does Increasing Horizontal Resolution in a Global Climate Model Improve the Simulation of Aerosol-Cloud Interactions?, Geophysical Research Letters42, 5058-5065, doi:10.1002/2015GL0641832015. 

39. Guo, Z., M. Wang*, Y. Qian, V. Larson, S. Ghan, P. Bogenschutz, A. Gettelman: Parametric behaviors of CLUBB in simulation of low clouds in the Community Atmosphere Model CAM5, Journal of Advances in Modeling Earth Systems, 7, 1005-1025, doi:10.1002/2014MS0004052015.

38. Wong, M., M. Ovchinnikov, M. Wang, Evaluation of subgrid-scale hydrometeor transport schemes using a high-resolution cloud-resolving model, Journal of Atmospheric Sciences, 72, 3715-3731, doi:10.1175/JAS-D-15-0060.1,2015.

37. Guo, Z., T. Zhou, M. Wang, Y. Qian: Impact of cloud radiative heating on east Asian summer monsoon circulation, Environmental Research Letters, 10, 7, 074014, doi: 10.1088/1748-9326/10/7/074014, 2015.

36.  Qian Y., H. Yan, C. Zhao, Z. Hou, H. Wang, M. Wang, and P. Rasch: Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model Cam5, Journal of Advances in Modeling Earth Systems7, 382-411, doi:10.1002/2014MS0003542015.

35.  Wang, M., V. Larson, S. Ghan, M. Ovchinnikov, D. Schanen, H. Xiao, X. Liu, Z. Guo, and P. Rasch: A multiscale modeling framework model (superparameterized CAM5) with a higher-order turbulence closure: Model description and low-cloud simulations, Journal of Advances in Modeling Earth Systems7, 484-509, doi:10.1002/2014MS0003752015.

34.  Storer, R., B. M. Griffin, J. Hoft, E. Raut, V. E. Larson, M. Wang, and P. J. Rasch: Parameterizing deep convection using the assumed probability density function method, Geosci. Model Dev.8, 1-19, doi:10.5194/gmd-8-1-2015, 2015.

33. Zhang, C., M. Wang, H. Morrison, R. Somerville, K. Zhang, X. Liu, and J. Li:  Investigating Ice Nucleation in cirrus clouds with an aerosol-enabled multi-scale modeling framework, Journal of Advances in Modeling Earth Systems, 6, doi: 10.1002/2014MS000343, 2014.

32.  Wang, M., X. Liu, K. Zhang, and J. Comstock: Aerosol indirect effects on cirrus through ice nucleation in CAM5 with a statistical cirrus cloud scheme, in press, Journal of Advances in Modeling Earth Systems, 6, doi:10.1002/2014MS0003392014.

31.  Guo, Z, M. Wang*, Y. Qian, V. Larson, P. Bogenschutz, G. Lin, S. Ghan, M. Ovchinnikov, C. Zhao, and T. Zhou: A sensitivity analysis of cloud properties to CLUBB parameters in the Single Column Community Atmosphere Model (SCAM5), Journal of Advances in Modeling Earth Systems, 6, doi:10.1002/2014MS0003152014.

30. Wang Y., M. Wang, R. Zhang, S. Ghan, Y. Lin, J. Hu, B. Pan, M. Levy, J. Jiang, and M. Molina: Assessing the effects of anthropogenic aerosols on Pacific storm track using a multi-scale global climate model, Proceedings of the National Academy of Sciences, 111, doi: 10.1073/pnas.1403364111, 2014.

29. Randall D., M. Branson, M. Wang, SJ Ghan, C Craig, A Gettelman, and J Edwards: A Community Atmosphere Model with superparameterized clouds, Eos94(25), 221-228, 2013.

28. Wang H, RC Easter, Jr, PJ Rasch, M. Wang, X Liu, SJ Ghan, Y Qian, JH Yoon, PL Ma, and V Vinoj: Sensitivity of remote aerosol distributions to representation of cloud-aerosol interactions in a global climate model, Geoscientific Model Development6(3), 765-782, doi:10.5194/gmd-6-765-2013, 2013.

27. Zhang, K., X. Liu, M. Wang, J. M. Comstock, D. L. Mitchell, S. Mishra, and G. G. Mace, Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign, Atmospheric Chemistry and Physics13(9), 4963-4982, 2013.

26. Ghan, S. J., S. J. Smith, M. Wang, K. Zhang, K. Pringle, K. Carslaw, J. Pierce, S. Bauer, and P. Adams: A simple model of global aerosol indirect effects, Journal of Geophysical Research-Atmospheres118(12), 6688-6707, 2013.

25. Jiang, Y., X. Liu, X. Yang, and M. Wang: Effects of anthropogenic aerosols on East Asian summer monsoon with Community Atmospheric Model Version 5, Atmospheric Environment, 70, 51-63, 2013.

24. Yang B., Y Qian, G. Lin, R. Leung, P. Rasch, G. Zhang, S. McFarlane, C. Zhao, Y. Zhang, H. Wang, M. Wang, and X. Liu: Uncertainty quantification and parameter tuning in CAM5 Zhang-McFarlane convective scheme and physical impact of improved convection on the global circulation and climate, J. Geophys. Res., 118(2), 395-415, 2013.

23. Shi, X., B. Wang, X. Liu, and M. Wang: Two-moment bulk stratiform cloud microphysics in the Grid-point Atmospheric Model of IAP LASG (GAMIL), Advances in Atmospheric Sciences, 30(3), 868-883, 2013.

22. Kooperman G., M. Pritchard, S. Ghan, M. Wang, R. Somerville, and L. Russell: Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5, J. Geophys. Res.117, D23204, doi:10.1029/2012JD0185882012.

21. Yang, Q., Gustafson Jr., W. I., Fast, J. D., Wang, H., Easter, R. C., Wang, M., Ghan, S. J., Berg, L. K., Leung, L. R., and Morrison, H.: Impact of natural and anthropogenic aerosols on stratocumulus and precipitation in the Southeast Pacific: a regional modelling study using WRF-Chem, Atmos. Chem. Phys., 12, 8777-8796, 2012. 

20. Chand D., R. Wood, S. Ghan, M. Wang, M. Ovchinnikov, P. Rasch, S. Miller, B. SchichtelT. Moore: Aerosol optical depth enhancement in partly cloudy conditions, J. Geophys. Res., 117, D17207, doi:10.1029/2012JD017894, 2012. 

19. Wang, M., S. Ghan, X. Liu, T. L'Ecuyer, K. Zhang, H. Morrison, M. Ovchinnikov, R. Easter, R. Marchand, D. Chand, Y. Qian and J. Penner, 2012, Constraining cloud lifetime effects of aerosols using A-Train Satellite observations, Geophys. Res. Lett., 39, L15709, doi:10.1029/2012GL052204, 2012

18. Larson V., D. P. Schanen, M. Wang, M. Ovchinnikov, and S. Ghan: PDF parameterization of boundary layer clouds in models with horizontal grids from 2 to 16 km, Mon. Wea. Rev., 140, 285-306, 2012

17. Penner, J. E., C. Zhou, L. Xu, and M. Wang, Reply to Quaas et al.: Can satellites be used to estimate indirect climate forcing by aerosols? Proceedings of the National Academy of Sciences, 10.1073/pnas.1116135108, 2011

16. Penner, J. E., L. Xu, and M. Wang, Satellite methods underestimate indirect climate forcing by aerosols, Proceedings of the National Academy of Sciences, 10.1073/pnas.10185261082011

15. Wang, M., Ghan, S., Ovchinnikov, M., Liu, X., Easter, R., Kassianov, E., Qian, Y., and Morrison, H.: Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF, Atmos. Chem. Phys., 11, 5431-5455, doi:10.5194/acp-11-5431-2011, 2011

14. Wang, M., S. Ghan, R. Easter, M. Ovtchinnikov, X. Liu, E. Kassianov, Y. Qian, W. Gustafson, V. Larson, D. Schanen, M. Khairoutdinov, and H. Morrison: The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation, Geosci. Model Dev., 4, 137-168, doi:10.5194/gmd-4-137-2011, 2011. 

13. Shi, X., B. Wang, X. Liu, M. Wang, L. Li and L. Dong: Aerosol indirect effects on warm clouds in the Grid-Point Atmospheric Model of IAP LASG (GAMIL), Atmospheric and Oceanic Science Letters, 3(4), 237-241, 2010

12. Wang, M. and J. E. Penner, Cirrus clouds in a global climate model with a statistical cirrus cloud scheme, Atmos. Chem. Phys., 10, 5449-5474, doi:10.5194/acp-10-5449-2010, 2010

11. Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, et al., Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data, Atmos. Chem. Phys., 9, 8697-8717, 2009

10. Graversen, R. G. and M. Wang, Polar amplification in a coupled climate model with locked albedo, Climate Dynamics, 33, 629-643, doi: 10.1007/s00382-009-0535-6, 2009. 

9. Wang, M., J. E. Penner, and X. Liu, The coupled IMPACT aerosol and NCAR CAM3 model: evaluation of predicted aerosol number and size distribution, J. Geophys. Res., 114, doi: d063020.1029/2008jd010459, 2009

8. Penner, J. E., Y. Chen, M. Wang, and X. Liu, Possible influence of anthropogenic aerosols on cirrus clouds and anthropogenic forcing, Atmos. Chem. Phys., 9, 879-896, 2009

7. Liu, X., J. E. Penner and M. Wang, Influence of anthropogenic sulfate and black carbon on upper tropospheric clouds in the NCAR CAM3 model coupled to the IMPACT global aerosol model, J. Geophys. Res., 114, doi: d0320410.1029/2008jd010492, 2009

6. Wang, M., and J. E. Penner, Aerosol indirect forcing in a global model with particle nucleation, Atmos. Chem. Phys., 9, 239-260, 2009

5. Lee, S. S., J. E. Penner, and M. Wang, Comparison of a global-climate model simulation to a cloud-system resolving model simulation for long-term thin stratocumulus clouds, Atmos. Chem. Phys., 9, 6497-6520, 2009

4. Liu, X., J.E. Penner, S. Ghan, and M. Wang, Inclusion of ice microphysics in the NCAR community atmospheric model 3 (CAM3), Journal of Climate, 20, 4526-4547, 2007

3. Rotstayn, Leon D., W. Cai, D. R. Martin, F. D. Graham, Y. Feng, G. Paul, M. Herzog; A. Ito, J. E. Penner, R. L. Michael, and M. WangHave Australian rainfall and cloudiness increased due to the remote effects of Asian anthropogenic aerosols?J. Geophys. Res., 112, doi: d0920210.1029/2006JD007712, 2007. 

2. Liu, X., J. E. Penner, B. Das, D. Bergman, J. M. Rodriguez, S. Strathan, M. Wang, and Y. Feng, Uncertainties in global aerosol simulations: Assessment using three meteorological data sets, J. Geophy. Res., 112, doi: d1121210.1029/2006JD008216, 2007.

1. Wang, M., and B. Tan: Characteristics of baroclinic wave packets in GCM data, Acta Scientiarum Natrualium Universitatis Pekinensis, 39, 1, 2003 (in Chinese). 


 


  • 新威尼斯人仙林校区大气科学楼
    江苏省南京市栖霞区仙林大道163号
    210023