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DUAN Wansuo
Institute of Atmospheric Physics, Chinese Academy of Sciences LASG
TEL：010-82995302
FAX：010-82995172
Email:duanws@lasg.iap.ac.cn

Link

* 中国科学院大气物理研究所
 * 大气科学和地球流体力学数值模拟国家重点实验室

Vitae

Dr. Wansuo Duan is a Professor from Institute of Atmospheric Physics, Chinese Academy of Sciences. He achieved the National top-100 Excellent PhD Dissertation Award and the National Science Fund for Distinguished Young Scholars. He has acted as the editor of the SCI journal "Nonlinear Processes in Geophysics", "Advance in Atmospheric Sciences", the editor of the journal "AIMS Geosciences", and the standing member of the journal "Chinese Journal of Atmospheric Sciences". He has also become the member of International Commitees of Dynamical Meteorology (ICDM), World Climate Reserach Programme (WCRP)-Chinese National Commitee (CNC), and International Association of Meteorology and Atmospheric Sciences (IAMAS)-Chinese National Commitee (CNC). His research fields include: Air-sea interaction, Predictability of high-impact weather & climate (e.g. tropical cyclones, El Nino, and Indian Ocean Dipole etc.) and oceanic mesoscale eddies, Target observation, Data assimilation, Ensemble forecasting, and so on.

Papers

Improving forecasts of El Niño diversity: a nonlinear forcing singular vector approach. Tao Linjiang, Duan Wansuo, and Stephane Vannitsem, Climate Dynamics, 2020. doi: 10.1007/s00382-020-05292-5[PDF]
Sensitivity on tendency perturbations of tropical cyclone short-range intensity forecasts generated by WRF. Qin Xiaohao, Duan Wansuo, Xu Hui, Advances in Atmospheric Sciences, 2020. 37, 291-306.[PDF]
On the use of near-neutral backward Lyapunov vectors to get reliable ensemble forecasts in coupled ocean-atmosphere systems.Stéphane Vannitsem, Wansuo Duan, Climate Dynamics. 2020. doi: 10.1007/s00382-020-05313-3[PDF]
Errors in current velocity in the low-latitude north Pacific: results from the regional ocean modeling system. Wen Xixi, Duan Wansuo, Advances in Atmospheric Sciences. 2019, 36, 397-416.[PDF]
Exploring sensitive area in the tropical Indian Ocean for El Nino predictions: implication for targeted observation. Zhou Qian, Duan Wansuo, Hu Junya. Journal of Oceanology and Limnology. 2019. doi: 10.1007/s00343-019-9062-4[PDF]
Using a nonlinear forcing singular vector approach to reduce model error effects in ENSO forecasting. Tao L. J., and W. S., Duan, Weather and Forecasting. 2019. 1321-1342. DOI: 10.1175/WAF-D-19-0050.1.[PDF]
Influences of initial perturbation amplitudes and ensemble sizes on the ensemble forecasts made by CNOPs. Wang Ye, Duan Wansuo. Chinese Journal of Atmospheric Sciences. 2019, 43(4), 919-933. [PDF]
Season-dependent predictability barrier for two types of El Niño-Southern Oscillation events revealed by an approach to data analysis for predictability. Hou Meiyi, Duan Wansuo, Zhi Xiefei. Climate Dynamics. 2019. doi: 10.1007/s00382-019-04888-w[PDF]
Ensemble Forecast Methods for Numerical Weather Forecast and Climate Prediction: Thinking and Prospect. Duan Wansuo, Wang Ye, Huo Zhenhua, Zhou Feifan. Climatic and Environmental Research. 2019. 24(3), 396-406.[PDF]
Indian Ocean Dipole-related predictability barriers induced by initial errors in the tropical Indian Ocean in a CGCM, Feng Rong, Duan Wansuo, Advances in Atmospheric Sciences. 2019. 36, 658-668. doi: 10.1007/s00376-019-8224-9[PDF]
Season-dependent predictability and error growth dynamics for La Niña predictions. Hu Junya, Duan Wansuo, Zhou Qian, Climate Dynamics. 2019, doi: 10.1007/s00382-019-04631-5.[PDF]
The Initial Condition Errors Occurring in the Indian Ocean Temperature That Cause “Spring Predictability Barrier” for El Niño in the Pacific Ocean. Qian Zhou, Mu Mu, Wansuo Duan. JGR-Ocean, 2019 doi: 10.1029/2018JC014403.[PDF]
Ensemble Forecasts of Tropical Cyclone Track with orthogonal Conditional Nonlinear Optimal Perturbations. Huo Zhenhua, Duan Wansuo, and Feifan Zhou, Advances in Atmospheric Sciences, 2019. 36(2), 231-247[PDF]
The role of initial signals in the tropical Pacific Ocean in predictions of negative Indian Ocean Dipole events. Feng Rong and Duan Wansuo, SCIENCE CHINA Earth Sciences, 2018. 61. doi:10.1007/s11430-018-9296-2.[PDF]
Progress in ENSO prediction and predictability study. Tang Youmin, Zhang Ronghua, Liu Ting, Duan Wansuo, et al. National Science Review, 2018, 5(6), 840-857. doi:10.1093/nsr/nwy105[PDF]
A study on target observation of a heavy air pollution in Beijing. Liu Na, Duan Wansuo, Wang Zifa, et al. Climatic and Environmental Research (in Chinese), 2018, 23, 619-632. doi:10.3878/j.issn.1006-9585.2018.18025.[PDF]
The application of the orthogonal conditional nonlinear optimal perturbations method to typhoon track ensemble forecasts. Huo Zhenhua and Duan Wansuo, SCIENCE CHINA Earth Sciences. 2018.10.1007/s11430-018-9248-9.[PDF]
Possible sources of forecast errors generated by the global/regional assimilation and prediction system for landfalling tropical cyclones. Part II: model uncertainty. Zhou Feifan, Duan Wansuo, Zhang He, Munehiko Yamaguchi, Adv. Atmos. Sci., 2018. 35, 1277-1290[PDF]
Investigating the initial errors that cause predictability barriers for IOD events using CMIP5 model outputs. Feng Rong and Duan Wansuo, Advances in Atmospheric Sciences, 2018. 35(10), 1305-1320[PDF]
Asymmetry of the predictability limit of the warm ENSO phase. Zhaolu Hou, Jianping Li, Ruiqiang Ding, Christina Karamperidou, Wansuo Duan, Ting Liu, and Jie Feng, 2018. Geophysical Research Letters. 45. 10.1029/2018GL077880[PDF]
The application of particle filter assimilation to the target observation of El Nino Southern Oscillation. Duan Wansuo, Feng Fan, Hou Meiyi, Chinese Journal of Atmospheric Sciences, 2018. 42(3), .677-695[PDF]
The alternative interaction of the monsoon and ENSO: the effects of annual cycle and spring predictability barrier. Yang Song, Deng Kaiqiang, Duan Wansuo. Chinese Journal of Atmospheric Sciences, 2018. 42(3), 570-589[PDF]
"Summer Predictability Barrier" of Indian Ocean Dipole Events and Corresponding Error Growth Dynamics, Liu Da, Duan Wansuo, Feng Rong, Tang Youmin, JGR-Ocean, 2018. 123, doi: 10.1029/2017JC013739.[PDF]
Predictability of El Niño-Southern Oscillation Events. Wansuo Duan, Mu Mu, Oxford Research Encyclopedia of Climate Science, 2018. doi:10.1093/acrefore/9780190228620.013.80[PDF]
Impact of SST anomaly events over the Kuroshio-Oyashio Extension on the "summer prediction barrier". Wu Yujie, Duan Wansuo. Advances in Atmospheric Sciences, 2018. 35, 397-409[PDF]
Towards optimal observational array for dealing with challenges of El Niño-Southern Oscillation predictions due to diversities of El Niño. Duan W.S., Li X. Q., Tian B. Climate Dynamics, 2018. doi:10.1007/s00382-018-4082-x[PDF]
The predictability of atmospheric and oceanic motions: Retrospect and prospects. Mu Mu, Wansuo Duan, Youmin Tang, Science China: Earth Sciencess, 2017. 60, 2001-2012. doi:10.1007/s11430-016-9101-x.[PDF]
The application of nonlinear local Lyapynov vectors to the Zebiak-Cane model and their performance in ensemble prediction. Zhaolu Hou, Jianping Li, Ruiqiang Ding, Jie Feng, Wansuo Duan. Clim Dyn. 2017. Doi: 10.1007/s00382-017-3920-6.[PDF]
Seasonal dependence of the North Pacific and North Atlantic SST predictability and forecast skill. Rong Xinyao, Liu Zhengyu, Liu Yun, Duan Wansuo, Advances in Earch Science, 2017, 32, 382-395.[PDF]
On the "spring predictability barrier" for strong El Nino events as derived from an intermediate coupled model ensemble prediction system. Qi Qianqian, Duan Wansuo, Zheng Fei, and Tang Youmin. SCIENCE CHINA Earth Sciences, 2017, doi: 10.1007/s11430-017-9087-2.[PDF]

Questions, comments, suggestions? E-Mail me, please!
duanws@lasg.iap.ac.cn