DUAN Wansuo
Institute of Atmospheric Physics, Chinese Academy of Sciences LASG
TEL：010-82995302
FAX：010-82995172
Email:duanws@lasg.iap.ac.cn
Institute of Atmospheric Physics, Chinese Academy of Sciences LASG
TEL：010-82995302
FAX：010-82995172
Email:duanws@lasg.iap.ac.cn
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", and "Journal of Marine Science and Engneering", 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
- Seasonally Alternate Roles of the North Pacific Oscillation and the South Pacific Oscillation in Tropical Pacific Zonal Wind and ENSO.Zhong W. X., W.J. Cai, A. Sullivan,W.S. Duan, S. Yang.J. Climate, 2021, submitted[PDF]
- The optimally-growing initial error of sea surface height anomaly forecasts and its implication for target observations of mesoscale eddies. Jiang L., W. S. Duan, and H.L. Liu, J. Physical Oceanography. 2021. Submitted[PDF]
- A precursory signal of the Central Pacific El Niño event: Eastern Pacific cooling mode.Tao L.J., and W.S. Duan, J. Climate. 2021, Submitted[PDF]
- Model errors of an intermediate model and their effects on realistic predictions of El Niño diversity.Tao L.J., and W.S. Duan, JGR-Atmosphere, 2021. Submitted[PDF]
- Using Conditional Nonlinear Optimal Perturbation to Generate Initial Perturbations in ENSO Ensemble Forecasts. Zhou Q., L. Chen, and W.S. Duan, etc. Weather and Forecasting.2021, 36, 2101-2111.[PDF]
- On the target observation of sea surface temperature for tropical cyclone intensity simulation， Yao Jiawei, Duan Wansuo, Chinese Journal of Atmospheric Sciences, 2021, Accepted[PDF]
- The Initial Errors in the Tropical Indian Ocean that Can Induce a Significant “Spring Predictability Barrier” for La Niña Events and Their Implication for Targeted Observations. Zhou Qian, Wansuo Duan, Xu Wang, Xiang Li, Ziqing Zu, Advances in Atmospheric Sciences, 2021. Accepted[PDF]
- How does El Nino affect predictability barrier of its accompanied positive Indian Ocean Dipole event? Liu D., W.S. Duan, and R. Feng. J. Marine Sciences and Engineering. 2021. 9, 1169. https://doi.org/10.3390/ jmse9111169.[PDF]
- The most sensitive initial error modes modulating intensities of CP- and EP- El Niño events. Qi Qianqian, Duan Wansuo, and Xu Hui, Dynamics of Atmospheres and Oceans, 2021, https://doi.org/10.1016/j.dynatmoce.2021.101257[PDF]
- Interdecadal change in the relationship between boreal winter North Pacific Oscillation and Eastern Australian rainfall in the following autumn. Linye Song, Shangfeng Chen, Wen Chen, Wansuo Duan, and Yun Li, Climate Dynamics. 2021. https://doi.org/10.1007/s00382-021-05864-z[PDF]
- On the sensitive areas for targeted observations in ENSO forecasting, Jingjing Zhang , Shujuan Hu, Wansuo Duan, AOSL, 2021. 14 (5), https://doi.org/10.1016/j.aosl.2021.100054[PDF]
- Which Features of the SST Forcing Error Most Likely Disturb the Simulated Intensity of Tropical Cyclones? Yao Jiawei, Duan Wansuo, Qin Xiaohao, Advances in Atmospheric Sciences, 2021, https://doi.org/10.1007/s00376-020-0073-z[PDF]
- Typhoon intensity forecasting based on LSTM using the rolling forecast method, Shijin Yuan, Cheng Wang, Bin Mu, Feifan Zhou, and Wansuo Duan. 2021. Algorithms, 14, 83. https://doi.org/10.3390/a14030083.[PDF]
- Optimally growing initial errors of El Nino events in the CESM, Xu Hui, Chen Lei, Duan Wansuo. 2021, Climate Dynamics. https://doi.org/10.1007/s00382-021-05668-1[PDF]
- Forecast uncertainty of rapid intensification of typhoon Dujuan (201521) induced by uncertainty in the boundary layer. Qin Xiaohao and Duan Wansuo. Atmosphere, 2020. 11,1263, doi: 10.3390/atmos11111263.[PDF]
- Model forecast error correction based on the Local Dynamical Analog method: an example application to the ENSO forecast by an Intermediate Coupled Model.Zhaolu Hou, Bin Zuo, Shaoqing Zhang, Fei Huang, Ruiqiang Ding, Wansuo Duan,Jianping Li.Geophysical Research Letters. 2020. 47,DOI: 10.1029/2020GL088986[PDF]
- Predictable patterns of wintertime surface air temperature in Northern Hemisphere and their predictability sources in SEAS5, Fan Hongdou, Lin Wang, Yang Zhang, Youmin Tang, Wansuo Duan, and Lei Wang, Journal of Climate, 2020. 33, 10743-10754. doi: 10.1175/JCLI-D-20-0542.1[PDF]
- Improving forecasts of El Niño diversity: a nonlinear forcing singular vector approach. Tao Linjiang, Duan Wansuo, and Stephane Vannitsem, Climate Dynamics, 2020. 55: 739-754. 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]
Questions, comments, suggestions? E-Mail me, please!
duanws@lasg.iap.ac.cn
duanws@lasg.iap.ac.cn