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
- 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]
- 近海台风立体协同观测科学试验, 雷小途, 张雪芬, 段晚锁, 李泓, 高志球, 钱传海, 赵兵科, 和汤 杰, 地球科学进展: 2019, 34 (7), 671-678.[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. 38, 1602–1615. doi: 10.1007/s00343-019-9062-4[PDF]
- Ensemble Forecasts of Tropical Cyclone Track with orthogonal Conditional Nonlinear Optimal Perturbations. Huo Zhenhua, Duan Wansuo, Feifan Zhou, Advances in Atmospheric Sciences, 2019. 36(2), 231-247.[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, and Wansuo Duan. JGR-Ocean, 2019 doi: 10.1029/2018JC014403[PDF]
- Season-dependent predictability and error growth dynamics for La Niña predictions. Hu Junya, Duan Wansuo, and Zhou Qian, Climate Dynamics. 2019, doi: 10.1007/s00382-019-04631-5[PDF]
- Indian Ocean Dipole-related predictability barriers induced by initial errors in the tropical Indian Ocean in a CGCM, Feng Rong, and Duan Wansuo, Advances in Atmospheric Sciences. 2019. 36, 658-668. doi: 10.1007/s00376-019-8224-9.[PDF]
- 数值天气预报、气候预测的集合预报方法：思考与展望。段晚锁，汪叶，霍振华，周菲凡。气候与环境研究， 2019。24（3），396-406。[PDF]
- Season-dependent predictability barrier for two types of El Niño revealed by an approach to data analysis for predictability. Hou Meiyi, Wansuo Duan, Xiefei Zhi. Climate Dynamics. 2019. 53, 5561–5581 doi: 10.1007/s00382-019-04888-w. [PDF]
- 初始扰动振幅和集合样本数对CNOPs集合预报的影响，汪叶, 段晚锁，大气科学，2019，43(4)，919-933。[PDF]
- Using a nonlinear forcing singular vector approach to reduce model error effects in ENSO forecasting. Tao Lingjiang, and Wansuo, Duan, Weather and Forecasting. 2019. 34, 1321-1342. DOI: 10.1175/WAF-D-19-0050.1[PDF]