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A New Strategy for Solving a Class of Constrained Nonlinear Optimization Problems Related to Weather and Climate Predictability  
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【英文篇名】 A New Strategy for Solving a Class of Constrained Nonlinear Optimization Problems Related to Weather and Climate Predictability
【下载频次】 ★☆
【作者】 段晚锁; 骆海英;
【英文作者】 DUAN Wansuo*1 and LUO Haiying2 1State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics; Institute of Atmospheric Physics; Chinese Academy of Sciences; Beijing 100029 2Training Center; China Meteorological Administration; Beijing 100081;
【作者单位】 State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics; Institute of Atmospheric Physics; Chinese Academy of Sciences; Training Center; China Meteorological Administration;
【文献出处】 Advances in Atmospheric Sciences , 大气科学进展(英文版), 编辑部邮箱 2010年 04期  
期刊荣誉:ASPT来源刊  中国期刊方阵  CJFD收录刊
【英文关键词】 constrained nonlinear optimization problems; predictability; algorithms;
【摘要】 There are three common types of predictability problems in weather and climate, which each involve different constrained nonlinear optimization problems: the lower bound of maximum predictable time, the upper bound of maximum prediction error, and the lower bound of maximum allowable initial error and parameter error. Highly effcient algorithms have been developed to solve the second optimization problem. And this optimization problem can be used in realistic models for weather and climate to study the uppe...
【英文摘要】 There are three common types of predictability problems in weather and climate, which each involve different constrained nonlinear optimization problems: the lower bound of maximum predictable time, the upper bound of maximum prediction error, and the lower bound of maximum allowable initial error and parameter error. Highly effcient algorithms have been developed to solve the second optimization problem. And this optimization problem can be used in realistic models for weather and climate to study the uppe...
【基金】 sponsored by the Key Knowledge Innovation Program of the Chinese Academy of Sciences (Grant. No. KZCX2-YW-QN203); the National Basic Research Program of China(2007CB411800),the GYHY200906009 of China Meteorological Administration
【更新日期】 2010-08-06
【分类号】 P456
【正文快照】 1. Introduction Optimization methods have been a useful tool in estimating the predictability of weather and climate (Lorenz, 1965; Fan and Chou, 1999; Smith et al., 1999; Mu, 2000; Mu et al., 2003). To quantifying the predictability, Lorenz (1965) applie

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天文学、地球科学
  大气科学(气象学)
   天气预报
    预报方法
  
 
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