Building a regional tomographic model for the inospheric changes over Korea based on GPS measurements

Jihyun Ha, Kwan Dong Park, Yun Soo Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a GPS-based regional ionosphere tomography model, which estimates Total Electron Content (TEC) in several layers over Korea. The GPS data from all available Korea GPS stations were used. The two-dimensional ionosphere model was grid-based, and the three-dimensional ionosphere model used a tomography technique. The pseudorange data were phase-leveled by a linear combination of pseudoranges and carrier phases. The solar-geomagnetic coordinate system, which is less variable to the ionosphere movement due to the Sun and geomagnetic field than an Earth-fixed frame, was used. During a quiet day of solar activity, the regional ionosphere map indicated 30-45 Total Electron Content Unit (TECU) at the peak of the diurnal variation. In comparison with the Global Ionosphere Map of the Center for Orbit Determination (CODE) in Europe, RMS differences of two-dimensional grid-based model were at the level of 3-5 TECU.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages4685-4688
Number of pages4
DOIs
StatePublished - 2005
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 25 Jul 200529 Jul 2005

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume7

Conference

Conference2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
Country/TerritoryKorea, Republic of
CitySeoul
Period25/07/0529/07/05

Keywords

  • Component
  • GPS
  • Ionosphere
  • TEC
  • Tomography

Fingerprint

Dive into the research topics of 'Building a regional tomographic model for the inospheric changes over Korea based on GPS measurements'. Together they form a unique fingerprint.

Cite this