段晚锁
中国科学院大气物理研究所LASG
电话：010-82995302
传真：010-82995172
Email:duanws@lasg.iap.ac.cn
中国科学院大气物理研究所LASG
电话：010-82995302
传真：010-82995172
Email:duanws@lasg.iap.ac.cn
论文列表
2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998
- An approach to generating mutually independent initial perturbations for ensemble forecasts: orthogonal conditional nonlinear optimal perturbations. Wansuo Duan, Zhenhua Huo, J. Atmos. Sci., 2016, 73, 997-1014. doi: http://dx.doi.org/10.1175/JAS-D-15-0138.1[PDF]
- Comparison of constant and time-variant optimal forcing approaches in El Niño simulations by using the Zebiak-Cane model. Tian Ben, Wansuo Duan, Adv. Atmos. Sci., 2016. 33(6), 685-694, doi:10.1007/s00376-015-5174-8.[PDF]
- Estimating observing locations for advancing beyond the winter predictability barrier of Indian Ocean dipole event predictions, Rong Feng, Wansuo Duan, and Mu Mu, Climate Dynamics, 2016, 48, 1173-1185. doi:10.1007/s00382-016-3134-3.[PDF]
- Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction, Junya Hu, Wansuo Duan, Journal of Geophysical Research - Oceans,2016, 121, doi:10.1002/2015JC011386.[PDF]
- A Time-scale Decomposed Threshold Regression Downscaling Approach to Forecasting South China Early Summer Rainfall,Linye Song, Wansuo Duan, Yun Li, and Jiangyu Mao, Advances in Atmospheric Sciences, 2016, 33, 1071-1084. doi:10.1007/s00376-016-5251-7.[PDF]
- Seasonal predictability of sea surface temperature anomalies over the Kuroshio-Oyashio Extension: low in summer and high in winter, Wu Yujie, Duan Wansuo, Rong Xinyao, Journal of Geophysical Research-Oceans, 2016, 121, doi:10.1002/2016JC011887.[PDF]
- Numerical Analysis of the Mixed 4th-Order Runge-Kutta Scheme of Conditional Nonlinear Optimal Perturbation Approach for the El Nino-Southern Oscillation Model,Xin Zhao, Jian Li, Wansuo Duan, and Dongqian Xue, Adv. Appl. Math. Mech., 2016, 8(6), 1023-1035. [PDF]
- IOD-related optimal initial errors and optimal precursors for IOD predictions from reanalysis data. Feng Rong, and Duan Wansuo. SCIENCE CHINA Earth Sciences. 2016, 60, 156-172, doi:10.1007/s11430-016-0103-9.[PDF]
- The role of nonlinear forcing singular vector tendency error in causing the "spring predictability barrier" for ENSO. Duan Wansuo, Zhao Peng, Hu Junya, Xu Hui,Journal of Meteorological Research, 2016. 30(6), 853-866, doi: 10.1007/s13351-016-6011-4.[PDF]