摘要
本文从资料处理和应用等方面,对粒度数据的同化方法进行初步探讨,建立了粒度数据同化分类标准。从目前研究情况来看,可对不同分析精度粒度数据、不同空间分布范围数据和不同分析方法的数据进行数据同化。不同精度粒度数据同化方法的对比分析结果表明Spline插值效果较为理想。为了避免出现龙格现象,减小误差,将Spline插值和线性插值结合进行插值效果会更好。
Form the view of the data procesing and application, the grain-size data assimilation method was initially discussed. The classified systems of the grain-size data assimilation were discussed and built. In the view of current researching condition, the data can be assimilated which is of different precision, different spatial area or different analyzing method. By contrast of different assimilation method for different precision data, the results indicate that the Spline interpolation is better then others. In avoiding of Runge phenomena and reducing the error, the result is the best when the Spline interpolation and linear interpolation are combined.
出处
《海洋湖沼通报》
CSCD
北大核心
2007年第4期74-79,共6页
Transactions of Oceanology and Limnology
基金
国家海洋信息中心青年基金(18066201D)资助
关键词
数据同化
粒度
Spline插值
线性插值
data assimilation
grain-size
Spline interpolation
linear interpolation
