Solid Earth Sciences (S)
Session Sub-category Technology & Techniques(TT)
Session ID S-TT50
Title New Frontiers in Earth Science Pioneered by Dense GNSS Observation Networks
Short Title Dense GNSS Networks: New Earth Insights
Main Convener Name Yusaku Ohta
Affiliation Research Center for Prediction of Earthquakes and Volcanic Eruptions, Graduate School of Science, Tohoku University
Co-Convener 1 Name Takuya NISHIMURA
Affiliation Disaster Prevention Research Institute, Kyoto University
Co-Convener 2 Name Mikiko Fujita
Affiliation Japan Agency for Marine-Earth Science and Technology
Co-Convener 3 Name Yuichi Otsuka
Affiliation Institute for Space-Earth Environmental Research, Nagoya University
Co-Convener 4 Name Yohei Kinoshita
Affiliation University of Tsukuba
Session Language
E
Scope
The Global Navigation Satellite System (GNSS) is an observation tool with high temporal resolution that enables monitoring of crustal deformation caused by earthquakes and volcanic activity, the dynamics of water vapor in the troposphere, and spatiotemporal variations in the ionosphere induced by solar activity and other surface phenomena.
In Japan, the Geospatial Information Authority of Japan (GSI) has operated GEONET since 1996, now comprising more than 1,300 GNSS observation stations spaced about 20-30 km apart, which has contributed significantly to advancing our understanding of a wide range of Earth science phenomena.
In recent years, rapid technological developments such as automated driving and drones have emerged. GNSS forms the foundation of the navigation technology that supports these applications. In addition to conventional metric positioning, centimeter-level real-time positioning using carrier-phase measurements is becoming widely available. Mobile network operators have begun deploying their own GNSS observation networks across Japan as reference sites, and their applications to Earth science have recently begun.
In this session, we discuss the usability and challenges of dense GNSS observation networks and explore a broad range of Earth science topics that can be addressed using dense GNSS observation data. While motivated by Japan's experience, we explicitly welcome submissions from outside Japan, including international case studies, comparative analyses, and cross-regional perspectives.
Presentation Format Oral and Poster presentation
Time Presentation No Title Presenter
Oral Presentation May 29 AM1
9:00 - 9:15 STT50-01 CSESS: Enabling Geoscience with SoftBank’s Ultra-Dense GNSS Reference Network Yusaku Ohta
9:15 - 9:30 STT50-02 Water vapor distributions around heavy rainfalls estimated by the tomography method Hiromu Seko
9:30 - 9:45 STT50-03 Assessing the impact of dense GNSS network data for atmospheric delay correction in InSAR and its time series Yohei Kinoshita
9:45 - 10:00 STT50-04 Traveling Ionospheric Disturbances Observed During the 2024 Typhoon Shanshan: Effects of Atmospheric Waves and Electro-dynamical Forces Junxian Fu
10:00 - 10:15 STT50-05 A Study of Daytime Medium-Scale Traveling Ionospheric Disturbances Using 3-D Tomography Based on Dense Global Navigation Satellite System Observation Networks Shion Ishida
10:15 - 10:30 STT50-06 Impact of Ionospheric Disturbances on GNSS Positioning in Japan Using Dense GNSS Receiver Networks Kyosei Nakamura
Oral Presentation May 29 AM2
10:45 - 11:00 STT50-07 GNSS-TEC observations of near- and far-field ionospheric disturbances associated with the 2025 Jul. 29 Mw8.8 Kamchatka earthquake Kosuke Heki
11:00 - 11:15 STT50-08 Advances in Ionospheric Seismology using the Japanese GNSS network Maletckii Boris
11:15 - 11:30 STT50-09 Kinematic GNSS Accuracy in an Integrated Public–Private Ultra-Dense Network: GEONET and SoftBank Reference Stations Yoshiaki Ito
11:30 - 11:45 STT50-10 GNSS-based modeling of pressure source evolution during the 2024 Mt. Iwate unrest event Ava Shetina
11:45 - 12:00 STT50-11 Transient crustal movement synchronized with the 2026 seismic swarm in Northern Hokkaido, Japan Mako Ohzono
12:00 - 12:15 STT50-12 Detailed distribution of interseismic deformation revealed by dense integrated GNSS networks in the Keihanshin area Takuya NISHIMURA
Presentation No Title Presenter
Poster Presentation May 29 PM3
STT50-P01 A weighting strategy considering inter-satellite separation for regional VTEC ionosphere models in PPP performance Feng-Yu Chu
STT50-P02 High spatio-temporal resolution analysis of Sporadic E layers across multiple events using an ultra-dense GNSS receiver network — Comparative study of frontal and patchy morphologies — Shunta Tano
STT50-P03 Case Studies of Midnight Medium-Scale Traveling Ionospheric Disturbances in Japan using Dense GNSS Observation Networks Weizheng Fu
STT50-P04 Characteristics of spatially long-wavelength noise based on the ultra-dense GNSS observation Yutaro Okada
STT50-P05 Estimation of the Driving Source of the 2020 Earthquake Swarm Activity in the Hida Mountains Based on Dense GNSS Crustal Deformation Data Daisuke Kawakami
STT50-P06 Ultra-Dense Public–Private GNSS Networks Reveal Japan’s Crust in Fine Detail Yusaku Ohta
STT50-P07 Vertical Crustal Deformation in Japan, Estimated from an Integrated Public–Private GNSS Network Miku Ohtate
STT50-P08 Atmospheric Stability Estimation: Localized Thunderstorm in Tokyo, July 20, 2024 Mikiko Fujita