Invited Talks:

(1)Wansuo Duan, HuiXu, A study on ENSO asymmetry by conditional nonlinear optimal perturbation, Asia Oceanic Geosciences Society16－20 June,  Busan,Korea, 2008.
(2)Wansuo Duan, MuMu, Conditional nonlinear optimal perturbation and its applications to thestudies of ENSO predictability. 1st PRIMA conference, Sydney,Australia, July 6-10, 2009.
(3)Wansuo Duan, XinchaoLiu, Mu Mu, Characteristic of initial errors that cause a significant springpredictability barrier for El Nino events. AOGS 2009, Singapore, August 10-15, 2009.
(4)Wansuo Duan, Revealing a new feature of ENSO events, EGU2010, May 2-7,  Vienna, Austria, 2010.
(5)Wansuo  Duan, MuMu, Conditional nonlinear optimal perturbation and its applications. CIMPAUNESCO THEMATIC SCHOOL, DATAASSIMILATION FOR GEOPHYSICAL FLUIDS, WUHAN (China), May 3 – May 14 , 2010.

(6)Wansuo Duan , The nonlinear optimization method and its application in the study of weather and climate predictability, NSNMF,  Beijing. Aug, 2011
(7)Wansuo Duan, Wei Chao, The "spring predictabilitybarrier" for ENSO predictions and its possible mechanism: results from afully coupled model，EGU 2012 General Assembly，Vienna，Austria. April 22-27 2012.

(8)Wansuo Duan, Yu Yanshan, Does model parameter error cause asignificant spring predictability barrier for El Nino events in the Zebiak-Canemodel?，AOGS-AGU 2012 General Assembly，Singapore. August 13-17 2012.
(9)Wansuo Duan, Wu Yujie, Season-dependent predictability of PDO-related SST anomalies and its error growth dynamics . the academic annual conference of the second institute of oceanography, SOA, Hangzhou, Jan 7-9, 2014.

(10)Wansuo Duan, Nonlinear forcing singular vector and related predictability，2015 International Workshop on Control problem with PDE constraints and interface problems. Nanjing Normal University, Xianlin Campus from June 10 to June 12, 2015.

(11)Wansuo Duan, Tian Ben, Constrasting initial errors that cause a significant "spring predictability barrier" for ENSO. IGU2015, Moscow, Aug. 17-21, 2015.

(12)Wansuo Duan, Application of sensitive area for target observation associated with El Nino Southern Oscillation predictions to multimodel ensemble forecast of the tropical Pacific sea surface temperature. Chengdu, Sep, 14-15,2015.

(13)Wansuo Duan, The nonlinear forcing singular vector method and its application in the study of ENSO predictability.  The academic annual conference of IAP, Beijing, Sep, 24,2015.

(14)Wansuo Duan, Feng Rong, Mu Mu, Target observation of high-impact ocean-atmospheric environmental events. National conference on the climate system research, Nanjing, Nov, 25-27,2015

(15)Wansuo Duan, Tian Ben, Chen Lei, Li Xuquan, Comparison of initial errors most likely to cause a significant spring predictability barrier for two types of El Nino events. workshop on the western Pacific Ocean circulation and ENSO and long-term climate dynamics, Qingdao, 12.7-8, 2015.

(16) Wansuo Duan, A new method to generate initial disturbance  for ensemble forecast and its application in the typhoon forecast research. Academic annual conference of Chinese Academy of Meteorological Sciences. Beijing, 1. 7-8, 2016.

(17) Wansuo Duan, Ben Tian, Xuquan Li, Lei Chen, Sensitive areas for targeting observations associated with predictions of two types of El Nino events. COAA. Beijing, China. 07.27-30,  2016.

(18) Wansuo Duan, Peng Zhao, The most disturbing tendency error of the Zebiak-Cane model associated with ENSO predictions. AOGS2016,  Beijing, China. 08.01-05, 2016.

(19) Wansuo Duan, Target observations for two types of El Nino events and their role in reducing prediction uncertainties. The 2016 academic annual conference of Chinese Meteorological Society, Xi'an, China. 11.02-04,2016.

(20) Wansuo Duan, Ben Tian, Xuquan Li, Target observation for improving initialization of two types of El Nino predictions. PAMS 2017, Jeju Island, South Korea, 4.11-13. 2017.

(21) Wansuo Duan, An approach to generating mutually independent initial perturbations for ensemble forecasts: orthogonal conditional nonlinear optimal perturbations. International Conference on Random Dynamical Systems, Wuhan, China. 6. 24-27, 2017.

(22) Wansuo Duan,  Ben Tian, Target observations for improving initializations for two types of El Nino events predictions. AOGS 2017, Singapore, 8.6-11, 2017.

(23) Wansuo Duan, A new targeted observation method based on particle filter and its application in two types of El Nino predictions.The 2017 academic annual conference of Chinese Meteorological Society, Zhengzhou, China. 9.26-30, 2017.

(24) Wansuo Duan, Target observations for improving initializations for two types of El Nino events predictions. BIRS workshop: Nonlinear and Stochastic Problems in Atmospheric and Oceanic Prediction. Banff, Canada, 11.19-24, 2017.

(25) Wansuo Duan，Tao Lingjiang, An ENSO forecast system based on an intermediate model and optimal forcing vector assimilation. AOGS2018. Hawaii, 6.2-8, 2018.

(26) Wansuo Duan, Hou Meiyi, An approach to data analysis for predictability: application to two flavors of El Niño. AOGS2019, July 27-August 3, 2019, Singapore.

(27) Wansuo Duan, Zhou Qian, Mu Mu, The Initial Errors Occurring in the Indian Ocean Temperature that Cause “Spring Predictability Barrier” for El Niño in the Pacific Ocean.AOGS2019, July 27-August 3, 2019, Singapore.

(28) Wansuo Duan, A data assimilation approach for dealing with combined effect of kinds of model errors and its application.  13th National Symposium on Assimilation and Numerical Simulation of Marine Data, Hunan, China.12. 3-4, 2020. 

(29) Wansuo Duan, Nonlinear Optimization Method and Its Application in Numerical Weather and Climate forecast，4th CSSC2020，Qingdao, China， 9. 19-20, 2020, On-line.

(30) Wansuo Duan, Junjie Ma, Stephan Vannitsem, A novel ensemble forecasting method for dealing with combined effect of the initial error and the model error and its potential deep learning implementation. AOGS2022, August 01-05, 2022, Singapore.

(31) Wansuo Duan, Zheng Yinchong, Tao Lingjiang Using a novel data approach to address the challenge posed by the spring predictability barrier and El Nino diversity for ENSO forecasting. The 4th World Science and Technology development forum: Climate changes and Environmental Sustainable Development. November 26, 2022, Chengdu, China.

(32)  Wansuo Duan, Zheng Yinchong, Tao Lingjiang，Using a novel NFSV-DA approach to deal with the challenge posed by the El Nino diversity and spring predictability barrier for ENSO forecasting. IYBSSD--International Forum for Climate and Environmental Changes and Sustainable Development, November 22-26, 2022, Beijing, China.

(33) Wansuo Duan, Ma Junjie, Zhang Han and Zhang Yichi. An ensemble forecasting method for dealing with combined effects of the initial and model errors and a potential deep learning implementation: applications to realistic typhoon forecast. The third conference on complex network and Earth Science. November 26-27, 2022, Zhuhai, China.

(34) Wansuo Duan, A novel ensemble forecasting method for dealing with combined effect of initial and model errors and its potential implementation using machine learning. NSNMF20, March 31-April 2, 2023, Nanjing, China.