Ionosphere Tomographic Model Based on Neural Network with Balance Cost and Dynamic Correction Using Multi-Constraints

Autor: Haoyu Zhu, Jieqing Yu, Yuchen Dai, Yanyu Zhu, Yingqi Huang

Publikováno v: Atmosphere, Vol 13, Iss 3, p 426 (2022)

A Neural network (NN) is a promising tool for the tomographic inversion of the ionosphere. However, existing research has adopted an unbalanced cost function for training purposes and a preset image for constraint purposes, resulting in the output im

Externí odkaz: https://doaj.org/article/e68e15057fed487f9f99251b8d69cb62

Linear Vary-Chap Topside Electron Density Model with Topside Sounder and Radio-Occultation Data

Autor: Paulo de Oliveira Camargo, Fabricio dos Santos Prol, Marcio T. A. H. Muella, David R. Themens, Manuel Hernández-Pajares

Publikováno v: Surveys in Geophysics. 40:277-293

The Linear Vary-Chap function has received increased attention in describing the topside ionosphere due to its good performance for predicting and extrapolating radio-occultation (RO) electron density ionospheric profiles. The systematic increase in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bda9bd4382fe57b5b805b48dad33745
https://doi.org/10.1007/s10712-019-09521-3

Numerical Simulations to Assess ART and MART Performance for Ionospheric Tomography of Chapman Profiles

Autor: Paulo de Oliveira Camargo, Fabricio dos Santos Prol, Marcio T. A. H. Muella

Publikováno v: Anais da Academia Brasileira de Ciências v.89 n.3 2017
Anais da Academia Brasileira de Ciências
Academia Brasileira de Ciências (ABC)
instacron:ABC
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Anais da Academia Brasileira de Ciências, Volume: 89, Issue: 3, Pages: 1531-1542, Published: 31 JUL 2017
Anais da Academia Brasileira de Ciências, Iss 0

Made available in DSpace on 2018-12-11T17:15:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2017-07-01. Added 1 bitstream(s) on 2019-10-09T18:31:15Z : No. of bitstreams: 1 S0001-37652017000401531.pdf: 1360407 bytes, checksum: d2fb3dce054e34d72d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4903c7ce391dbee2b4beb5f8095c834a
https://doi.org/10.1590/0001-3765201720170116

Dayside electron temperature and density profiles at Mars: First results from the MAVEN Langmuir probe and waves instrument

Autor: L. Andersson, T. McEnulty, Anders Eriksson, Bruce M. Jakosky, Gregory T. Delory, Christopher M. Fowler, Robert E. Ergun, David Andrews, Michiko Morooka

Publikováno v: Geophysical Research Letters. 42:8846-8853

We present Mars' electron temperature (Te) and density (ne) altitude profiles derived from the MAVEN (Mars Atmosphere and Volatile EvolutioN) mission deep dip orbits in April 2015, as measured by the Langmuir probe instrument. These orbits had periap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91e63d00fc454100b861f138ae5a6c01
https://doi.org/10.1002/2015gl065280

Geometrical Modeling of the Ionosphere and the Troposphere with LEO Orbit

Autor: Drazen Svehla

Publikováno v: Geometrical Theory of Satellite Orbits and Gravity Field ISBN: 9783319768724

In this section, we first briefly describe the mathematical and physical background of the first and second order ionosphere effects on LEO GPS measurements and then give a geometrical interpretation of the second order ionosphere effect for one-way

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a2ef2577ac4f209db28a73596fd5d00
https://doi.org/10.1007/978-3-319-76873-1_9