The High Order Conservative Method for the Parameters Estimation in a PM2.5 Transport Adjoint Model

被引：2

作者：

Li, Ning ^{[1
,2
,3
]}

Liu, Yongzhi ^{[2
,3
]}

Lv, Xianqing ^{[2
,3
]}

Zhang, Jicai ^{[4
]}

Fu, Kai ^{[5
]}

机构：

[1] Dalian Jiaotong Univ, Sch Sci, Dalian 116028, Peoples R China

[2] Ocean Univ China, CIMST, Phys Oceanog Lab, Qingdao 266003, Peoples R China

[3] Qingdao Natl Lab Marine Sci & Technol, Qingdao 266003, Peoples R China

[4] Zhejiang Univ, Ocean Coll, Inst Phys Oceanog, Zhoushan 316000, Peoples R China

[5] Ocean Univ China, Sch Math Sci, Qingdao 266100, Peoples R China

来源：

ADVANCES IN METEOROLOGY | 2017年 / 2017卷

基金：

中国国家自然科学基金;

关键词：

PIECEWISE PARABOLIC METHOD; OPEN BOUNDARY-CONDITIONS; PRECURSOR EMISSIONS; INVERSE; IDENTIFICATION; SENSITIVITY;

D O I：

10.1155/2017/4626585

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

We propose to apply Piecewise Parabolic Method(PPM), a high order and conservative interpolation, for the parameters estimation in a PM2.5 transport adjoint model. Numerical experiments are taken to show the accuracy of PPM in space and its ability to increase the well-posedness of the inverse problem. Based on the obtained results, the PPM provides better interpolation quality by employing much fewer independent points. Meanwhile, this method is still well-behaved in the case of insufficient observations. In twin experiments, two prescribed parameters, including the initial condition (IC) and the source and sink (SS), are successfully estimated by the PPM with lower interpolation errors than the Cressman interpolation. In practical experiments, simulation results show good agreement with the observations of the period when the 21th APEC summit took place.

引用

页数：13

共 31 条

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