A PIM-Aided Kalman filter for GPS tomography of the ionospheric electron content

被引：7

作者：

Ruffini, G ^{[1
]}

Cucurull, L ^{[1
]}

Flores, A ^{[1
]}

Rius, A ^{[1
]}

机构：

[1] CSIC, Inst Estudis Espacials Catalunya, Res Unit, ES-08034 Barcelona, Spain

来源：

PHYSICS AND CHEMISTRY OF THE EARTH PART C-SOLAR-TERRESTIAL AND PLANETARY SCIENCE | 1999年 / 24卷 / 04期

关键词：

D O I：

10.1016/S1464-1917(99)00013-6

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We develop the formalism to perform PIM I-based stochastic tomography of the ionospheric electron content with a Kalman filter, in which the inversion problem associated with four-dimensional ionospheric stochastic tomography is regularized. For consistency, GPS data is used to select dynamically the best PIM parameters, in a 3DVAR fashion. We demonstrate the ingestion of(IGS and GPS/MET) GPS data into a parameterized ionospheric model, in order to select the set of parameters that minimize a suitable cost functional. The resulting PIM-fitted model is compared to direct 3D voxel tomography. We demonstrate the value of this method analyzing IGS and GPS/MET GPS data, and present our results in terms of a 4D model of the ionospheric electronic density. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：365 / 369

页数：5

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