汪曙光

  电子邮箱: wangsg at nju.edu.cn

教授,博导生导师。主要研究方向为热带低频振荡MJO、BSISO,台风,大气对流,次季节尺度预测和预报,云分辨数值模拟,中尺度动力学等。曾经获奖包括:美国气象学会Editor's Award (Journal of Atmospheric Sciences), 美国地球物理联合学会Excellence for Refereeing (JGR-Atmospheres)。
教育背景及学位
 2003年8月-2008年8月TEXAS A&M UNIVERSITY,理学博士
 2000年9月-2003年6月南京大学,理学硕士
 1996年9月-2000年6月南京大学,学士
学术服务和兼职

   Journal of Atmospheric Sciences 副编辑 (Associate Editor),2016-
   Monthly Weather Review 副编辑 (Associate Editor),2010-2013, 2022-
   科研基金评审 NOAA/MAPP, National Science Foundation (美国), The UAE Research Program for Rain Enhancement Science (阿聯酋), Indian Institute of Tropical Meteorology (印度), Leibniz Association (德国)
   专业期刊评审 Nature, Journal of Climate, Monthly Weather Review, Journal of Atmospheric Sciences, Journal of Geophysical Research, Journal of Advances in Modeling Earth Systems, Climate Dynamics, Acta Meteorologica Sinica, Quarterly Journal of the Royal Meteorological Society, Atmospheric Chemistry and Physics, Advances in Atmospheric Sciences, Atmospheric Science Letters, Climate, SCIENCE CHINA Earth Sciences

季节内振荡实时监测和预报

科研项目 

2019-2022,国家自然科学基金, MJO在海洋性大陆上传播的模拟和预测(41875066),62万,主持
2020-2022,国家高层次青年人才计划, 主持
2016-2019,美国自然科学基金,The Madden Julian Oscillation and the Maritime Continent,PI
2016-2019,美国NOAA-MAPP基金,Madden Julian Oscillation - the Maritime Continent barrier and seamless verification, PI
2013-2016,美国自然科学基金,Dynamics and Predictability of Tropical Weather and Climate from Convective to Intraseasonal Scales, Co-PI


 代表性论文(*:student author)  

Zhou, Y.*, S. Wang, J. Fang (2023). Diurnal cycle and dipolar pattern of precipitation over Borneo during the MJO: Linear theory and nonlinear sensitivity experiments. Journal of Geophysical Research: Atmospheres, 128, e2022JD037616. https://doi.org/10.1029/2022JD037616

Tang, J., Lu, Y., Wang, S., Guo, Z., Lu, Y., Fang, J. (2023). Projection of hourly extreme precipitation using the WRF model over eastern China. Journal of Geophysical Research: Atmospheres, 128, e2022JD036448. https://doi.org/10.1029/2022JD036448

Zhou, Y.*, S. Wang, J. Fang, D. Yang (2023). The Maritime Continent barrier effect on the MJO teleconnections during the boreal winter seasons in the Northern Hemisphere. Journal of Climate. 36(1), 171-192

Wang, S., Tan, Z-M, Wu, Z.H., Fang, J. (2022). Moisture modes of tropical intraseasonal oscillations - high order and anti-symmetric solutions. JGR-Atmospheres. 127, e2021JD036413. https://doi.org/10.1029/2021JD036413

Hu, Q., Z. Han, S. Wang (2022). Cloud Radiative Effects on MJO Development in DYNAMO. Journal of Climate. 35(21), 3369-3384.                     

Wang, S., A.H. Sobel. (2022): A filtered model for the tropical intraseasonal moisture mode. Geophysical Research Letters. 49, e2022GL098320.DOI: https://doi.org/10.1029/2022GL098320

Zhou, Y.*, S. Wang, J. Fang (2022). Diurnal cycle and dipolar pattern of precipitation over Borneo during an MJO event: Lee convergence and offshore-propagation. Journal of the Atmospheric Sciences. 79(8), 2145-2168.DOI: https://doi.org/10.1175/JAS-D-21-0258.1.

Wang, S., Martin, Z. K., Sobel, A. H., Tippett, M. K., Dias, J., Kiladis, G. N., Ren, H-L, Wu, J. (2022). A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures. JGR-Atmospheres, 127,e2021JD035961. DOI:https://doi.org/10.1029/2021JD035961.

Guo, Z., Tang, J., Tang, J., Wang, S., Yang, Y., Luo, W., Fang, J. (2022). Object-based evaluation of precipitation systems in convection-permitting regional climate simulation over eastern China. Journal of Geophysical Research: Atmospheres, 126, e2021JD035645. https://doi.org/10.1029/2021JD035645

Wang, S., A.H. Sobel. 2022: A unified moisture mode theory for the Madden Julian Oscillation and the Boreal Summer Intraseasonal Oscillation. J. Climate. 35(4), 1267-1291. https://doi.org/10.1175/JCLI-D-21-0361.1

Wang, S., J. Fang, X. Tang, Z-M Tan . 2022: A survey of statistical relationship between tropical cyclone genesis and convectively coupled equatorial Rossby waves. Adv. Atmos. Sci., 39, 747–762 https://doi.org/10.1007/s00376-021-1089-8

Zhou, Y.*, Fang, J., S. Wang, 2021: Impact of islands on the MJO propagation across the maritime continent: a numerical modeling study of an MJO event. Clim Dyn. 57, 2921–2935. DOI:https://doi.org/10.1007/s00382-021-05849-y

Wang, S., 2020: A precipitation-based index for tropical intraseasonal oscillations. J. Climate, 33(3), 805-823. https://doi.org/10.1175/JCLI-D-19-0019.1.

Meng, Z., F. Zhang, D. Luo, Z. Tan, J. Fang, J. Sun, X. Shen, Y. Zhang, S. Wang, W. Han, K. Zhao, L. Zhu, Y. Hu, H. Xue, Y. Ma, L. Zhang, J. Nie, R. Zhou, S. Li, H. Liu, Y. Zhu, 2019: Review of Chinese atmospheric science research over the past 70 years: Synoptic meteorology. Science China Earth Sciences. https://doi.org/10.1007/s11430-019-9534-6.

Martin, Z.*, Wang, S., Nie, J., & Sobel, A. (2019). The Impact of the QBO on MJO Convection in Cloud-Resolving Simulations, Journal of the Atmospheric Sciences, 76(3), 669-688.

Wang, S., Tippett, M. K., Sobel, A. H., Martin, Z., & Vitart, F. (2019). Impact of the QBO on prediction and predictability of the MJO convection. Journal of Geophysical Research: Atmospheres, 124, 11766– 11782. https://doi.org/10.1029/2019JD030575

Wang, S., A. H. Sobel, M. K. Tippett, F. Vitart. 2019:  Prediction and predictability of tropical   intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier.  Climate Dynamics. 52, 6015-6031. doi.org/10.1007/s00382-018-4492-9

Anber, U.*, Wang, S., Gentine, P., & Jensen, M. P. (2019). Probing the Response of Tropical Deep Convection to Aerosol Perturbations Using Idealized Cloud-Resolving Simulations with Parameterized Large-Scale Dynamics, Journal of the Atmospheric Sciences, 76(9), 2885-2897.

Wang, S., D. Ma, A. H. Sobel, M. K. Tippett, 2018:  Propagation characteristics of BSISO indices.  Geophysical Research Letters, 45, 9934– 9943. https://doi.org/10.1029/2018GL078321

Wang, S., A. H. Sobel, 2017: Factors controlling rain on small tropical islands: diurnal cycle, large-scale wind speed, and topography.  Journal of the Atmospheric Sciences. 74(11),3515-3532. doi:10.1175/JAS-D-16-0344.1.

Nie, J., A. H. Sobel, D. A. Shaevitz, S. Wang, 2018. Dynamic amplification of extreme precipitation sensitivity. Proceedings of the National Academy of Sciences. doi: 10.1073/pnas.1800357115.

Robertson, A., S. Camargo, A. Sobel, F. Vitart and S. Wang. 2018: Summary of Workshop on Sub-Seasonal to Seasonal Predictability of Extreme Weather and Climate. NPJ Climate and Atmospheric Science, 1. 8. https://doi.org/10.1038/s41612-017-0009-1

Li. X, M. Janiga, S. Wang, W. Tao, A. Rowe, W. Xu, C. Liu, T. Matsui and C. Zhang, 2018: Evolution of Precipitation Structure During November DYNAMO MJO Event: Cloud-Resolving Model Inter-comparison and Cross-Validation using Radar Observations. Journal of Geophysical Research-Atmosphere. 123, 3530– 3555. https://doi.org/10.1002/2017JD027775

Wang, S., A. Anichowski, M. Tippett, A. Sobel, 2017:  Seasonal noise vs. subseasonal signal: forecasts of California precipitation during the unusual winters of 2015-16 and 2016-17.  Geophys. Res. Lett., 44, doi:10.1002/2017GL075052.

Zhang, F., S. Taraphdar and S. Wang, 2017: The role of global circumnavigating mode in the MJO initiation and propagation. Journal of Geophysical Research. 122, doi:10.1002/2016JD025665.

Anber, U.*, S. Wang and A. H. Sobel, 2017: Coupling with Ocean Mixed Layer leads to Intraseasonal variability in tropical deep convection - evidence from Cloud-resolving Simulations. Journal of Advances in Modeling Earth Systems. 9, 616–626, doi:10.1002/2016MS000803.

Ling, J, C. Zhang, S. Wang and C. Li. 2017: A new interpretation of the ability of global models to simulate the MJO. Geophysical Research Letter. 44, doi:10.1002/2017GL073891

Daleu, C. L., R. Plant , S. Woolnough , S. Sessions , M. Herman , A. Sobel , S. Wang, D. Kim , A. Cheng , G. Bellon , P. Peyrillé , P. Siebesma , F Ferry , B. van Ulft, (2016): Intercomparison of methods of coupling between convection and large-scale circulation: 2. Comparison over nonuniform surface conditions, J. Adv. Model. Earth Syst., 8, 387–405, doi:10.1002/2015MS000570.

Wang, S., A. H. Sobel, J. Nie, 2016: Modeling the MJO in a cloud-resolving model with parameterized large-scale dynamics: vertical structure, radiation, and horizontal advection of dry air. Journal of Advances in Modeling Earth Systems. 8, doi:10.1002/2015MS000529.

Anber, U.*, S. Wang, A. H. Sobel, 2016: Response of Atmospheric Convection to Vertical Wind Shear: Cloud Resolving Simulations with Parameterized Large-Scale Circulation. Part II: Effect of Interactive Radiation. Journal of the Atmospheric Sciences. 73, 199–209, doi: 10.1175/JAS-D-15-0151.1.  

Wang, S., A. H. Sobel, A. M. Fridlind, Z. Feng, J. M. Comstock, P. Minnis, M. L. Nordeen, (2015): Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array. Journal of Advances in Modeling Earth Systems. 7, no. 3, 1472-1498, doi:10.1002/2015MS000461.

Daleu, C. L., S. Woolnough , R. Plant , S. Sessions , M. Herman , A. Sobel , S. Wang, D. Kim , A. Cheng , G. Bellon , P. Peyrillé , P. Siebesma , F Ferry , B. van Ulft, (2015): Intercomparison of methods of coupling between convection and large-scale circulation. Part I: Comparison over uniform surface conditions. Journal of Advances in Modeling Earth Systems. 7, doi:10.1002/2015MS000468.

Anber, U.*, S. Wang, A. H. Sobel, 2015: Effect of Surface Fluxes versus Radiative Heating on Tropical Deep Convection. Journal of the Atmospheric Sciences. 72, 3378–3388.  

Anber, U.*, P. Gentine, S. Wang, and A. H. Sobel, 2015: Fog and rain in the Amazon. Proceedings of the National Academy of Sciences. 11473–11477, doi: 10.1073/pnas.1505077112

Wang, S, A. H. Sobel, F. Zhang, Y. Sun, L. Zhou (2015). Regional simulation of the October and November MJO events observed during the CINDY/DYNAMO field campaign at gray zone resolution. Journal of Climate. 28, 2097–2119.

Anber, U.*, Wang, S., and A. H. Sobel (2014), Response of Atmospheric Convection to Vertical Wind Shear: Cloud Resolving Simulations with Parameterized Large-Scale Circulation. Part I: Specified Radiative Cooling. Journal of the Atmospheric Sciences. 71, 2976–2993.

Sobel, A. H., S Wang, and D. Kim, 2014: Moist static energy budget of the MJO during DYNAMO. Journal of the Atmospheric Sciences. 71, 4276–4291.

Wang, S, S. Camargo, A. H. Sobel, and L. M. Polvani (2014). Impact of the tropopause temperature on the intensity of tropical cyclones – an idealized study using a mesoscale model. Journal of Atmospheric Sciences. 71, 4333–4348.

Wang, S., A. H. Sobel, and Z. Kuang (2013), Cloud-resolving simulation of TOGA-COARE using parameterized large-scale dynamics.  Journal of Geophysical Research, 118, doi:10.1002/jgrd.50510. (Editors’ Highlights)

Zhang, F., M. Zhang, J. Wei, and S. Wang, (2013),  Month-long Simulations of Gravity Waves over North America and North Atlantic in Comparison with Satellite Observations.  Acta Meteorologica Sinica. DOI:10.1007/s13351-013-0301-x

Booth, J. F., S. Wang and L. M. Polvani (2013), Midlatitude storms in a moister world: lessons from idealized baroclinic life cycle experiments. Climate Dynamics. DOI:10.1007/s00382-012-1472-3.

Wang, S., and A. H. Sobel (2012), Impact of imposed drying on deep convection in a cloud-resolving model, Journal of Geophysical Research, 117, D02112, doi:10.1029/2011JD016847.

Wang, S., E. P. Gerber and L. M. Polvani, 2012: Abrupt circulation responses to tropical upper tropospheric warming in a relatively simple stratosphere-resolving AGCM. Journal of Climate. 25, 4097-4115. doi:10.1175/JCLI-D-11-00166.1

Wang, S. and A. H. Sobel, 2011: Response of convection to relative SST: cloud resolving simulations in 2D and 3D. Journal of Geophysical Research. 116, D11119. DOI:10.1029/2010JD015347

Wang, S. and L. M. Polvani, 2011: Double tropopause formations in idealized baroclinic life cycles: the key role of an initial tropopause inversion layer. Journal of Geophysical Research, 116, D05108. DOI:10.1029/2010JD015118

Wang, S., F. Zhang, and C. C. Epifanio, 2009: Forced gravity wave responses near the jet exit region in a linear model. Quarterly Journal of the Royal Meteorological Society, 136, 1773-1787

Wang, S. and F. Zhang, 2010: Source of Gravity Waves within a Vortex-Dipole Jet Revealed by a Linear Model. Journal of the Atmospheric Sciences, 67, 1438-1455.  

Wang, S., F. Zhang, and C. Snyder, 2009: Generation and propagation of gravity waves from jets within vortex dipoles. Journal of the Atmospheric Sciences, 66, 1294–1314.  

Zhang, F., R. E. Morss, J. A. Sippel, T. K. Beckman, N. C. Clements, N. L. Hampshire, J. N. Harvey, J. M. Hernandez, Z. C. Morgan, R. M. Mosier, S. Wang, and S. D. Winkley, 2007: An in-person survey investigating public perceptions of and response to hurricane Rita forecasts along the Texas coast. Weather and Forecasting, 22, 1177-1190.  

Wang, S. and F. Zhang, 2007: Sensitivity of mesoscale gravity waves to the baroclinicity of jet-front systems. Monthly Weather Review, 135, 670–688.

Zhang, F., S. Wang, and R. Plougonven, 2004: Uncertainties in using the hodograph method to retrieve gravity wave characteristics from individual soundings. Geophysical Research Letters, 31, L11110.



  • 南京大学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