A case study of the consistency problem in the inverse estimation

被引：2
|
作者：
Wei Yanzhou [1 ,2 ,3 ]
Kang Xianbiao [2 ,4 ]
Pei Yuhua [1 ]
机构：
[1] State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Zhejiang, Peoples R China
[2] Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[4] Civil Aviat Flight Univ China, Coll Air Traff Management, Guanghan 618307, Peoples R China
来源：
ACTA OCEANOLOGICA SINICA | 2017年 / 36卷 / 09期
基金：
中国国家自然科学基金;
关键词：
regularization; consistency; inverse problems; box inverse model; L-curve method; EAST CHINA SEA; KUROSHIO CURRENT; CIRCULATION; VARIABILITY; ALGORITHM; MODELS; OCEAN;
D O I：
10.1007/s13131-017-1110-3
中图分类号：
P7 [海洋学];
学科分类号：
0707 ;
摘要：
Inverse technique is a widely used method in oceanography, but it has a problem that the retrieved solutions often violate model prior assumptions. To tune the model has consistent solutions, an iteration approach, which successively utilizes the posterior statistics for next round inverse estimation, is introduced and tested from a real case study. It is found that the consistency may become elusive as the determinants of solution and noise covariance matrices become zero in the iteration process. However, after several steps of such operation, the difference between posterior statistics and the model prior ones can be gradually reduced.
引用
收藏
页码：45 / 51
页数：7
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