Shuguang Wang
Professor
wangsg at nju.edu.cn
Research interests
Tropical meteorology, intraseasonal oscillations, convection, tropical cyclones, atmospheric dynamics, numerical weather prediction
Education
| 2003－2008 | Ph.D. | Texas A&M University |
| 2000－2003 | Ms.C. | Nanjing University |
| 1996－2000 | Bs.C. | Nanjing University |
Services
Journal of Atmospheric Sciences Associate Editor，2016－
Monthly Weather Review Associate Editor，2010－2013, 2022-
Grant review: US National Science Foundation, NOAA/MAPP program, UAE Research Program for Rain Enhancement Science, Indian Institute of Tropical Meteorology, Leibniz Association
Review for scientific journals: 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, SCIENCE CHINA Earth Sciences etc.
Awards
2018 AMS Editor's Awards for Journal of the Atmospheric Sciences
2019 AGU Excellence in Referencing for Journal of Geophysical Research - Atmospheres
Research products
Real-time monitoring and forecast of the MJO and the BSISO
Selected Publications
| 1. | 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 |
| 2. | 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 |
| 3. | 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. |
| 4. | 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. |
| 5. | Hu, Q., Z. Han, S. Wang (2022). Cloud Radiative Effects on MJO Development in DYNAMO. Journal of Climate. 35(21), 3369-3384. |
| 6. | 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. |
| 7. | 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. |
| 8. | 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. |
| 9. | 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 |
| 10. | 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 |
| 11. | Wang, S., J. Fang, X. Tang, Z-M Tan . 2021: A survey of statistical relationship between tropical cyclone genesis and convectively coupled equatorial Rossby waves. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-021-1089-8 |
| 12. | 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. https://doi.org/10.1007/s00382-021-05849-y |
| 13. | 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. |
| 14. | 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. |
| 15. | 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 |
| 16. | 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 |
| 17. | Anber, U. M., 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. |
| 18. | 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 |
| 19. | 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. |
| 20. | 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. |
| 21. | 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 |
| 22. | 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 |
| 23. | 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. |
| 24. | 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. |
| 25. | 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. |
| 26. | 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 |
| 27. | 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. |
| 28. | 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. |
| 29. | 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. |
| 30. | 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. |
| 31. | 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. |
| 32. | 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. |
| 33. | 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 |
| 34. | 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. |
| 35. | 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. |
| 36. | 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. |
| 37. | 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. |
| 38. | 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) |
| 39. | 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 |
| 40. | 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. |
| 41. | 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. |
| 42. | 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 |
| 43. | 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 |
| 44. | 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 |
| 45. | 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 |
| 46. | 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. |
| 47. | 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. |
| 48. | 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. |
| 49. | Wang, S. and F. Zhang, 2007: Sensitivity of mesoscale gravity waves to the baroclinicity of jet-front systems. Monthly Weather Review, 135, 670–688. |
| 50. | 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. |