Multidisciplinary and Interdisciplinary (M)
Session Sub-category Technology & Techniques(TT)
Session ID M-TT37
Title New Frontier of Earth Science pioneered by Dense GNSS Observation Networks
Short Title Dense GNSS networks and Earth Science
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 Yuichi Otsuka
Affiliation Institute for Space-Earth Environmental Research, Nagoya University
Co-Convener 3 Name Mikiko Fujita
Affiliation Japan Agency for Marine-Earth Science and Technology
Session Language
J
Scope
The Global Navigation Satellite System (GNSS) is an observation sensor with high temporal resolution that can monitor crustal deformation caused by earthquakes and volcanic phenomena, the dynamics of water vapor in the troposphere, and spatio-temporal variations in the ionosphere caused by solar activity and other surface phenomena on the Earth. In Japan, GSI has been operating GEONET for more than 25 years since 1996, consisting of more than 1,300 GNSS observation points with 20-30 km spacing, and has greatly contributed to understanding various earth science phenomena. On the other hand, recent years have seen remarkable technological developments such as automated driving and drones. GNSS is the foundation of the navigation technology that underlies these technologies, and in addition to conventional metric positioning, centimeter-accurate, real-time position information acquisition using carrier phase is becoming universally available. Cell phone carriers have started to deploy their own GNSS observation networks throughout Japan as a reference site, and their applications to earth science have also been started. In this session, we discuss the usability and issues of the dense GNSS observation network and discuss a wide range of topics related to earth science based on the dense GNSS observation data.
Presentation Format Oral and Poster presentation
Time Presentation No Title Presenter
Oral Presentation May 29 PM1
13:45 - 14:00 MTT37-01 Deformation of the 2020-2024 Noto Peninsula earthquake sequence revealed by combined analysis of multiple GNSS observation networks in central Japan Takuya NISHIMURA
14:00 - 14:15 MTT37-02 Crustal Deformation around the Western Nagaoka Plain Fault Zone based on Densified GNSS Observation Network Takeshi Sagiya
14:15 - 14:30 MTT37-03 Tsunami Formation Theory and GNSS-Aided Tsunami Early Detection System Tony Song
14:30 - 14:45 MTT37-04 Transient crustal deformation around Hakone volcano and its new activity image inferred from dense GNSS observations Ryosuke Doke
14:45 - 15:00 MTT37-05 Introduction to Quality Management Methods for Dense GNSS Observation Networks Shohei Ikeda
Oral Presentation May 29 PM2
15:30 - 15:45 MTT37-06 GNSS precipitable water vapor distribution and vertical structure revealed by very dense GNSS observation network Mikiko Fujita
15:45 - 16:00 MTT37-07 InSAR tropospheric correction using dense GNSS tropospheric products Yo Fukushima
16:00 - 16:15 MTT37-08 3-D structure of the ionospheric disturbance associated with the intense magnetic storms in 2023 by GNSS tomography with a dense GNSS network data Susumu Saito
16:15 - 16:30 MTT37-09 Ionospheric seismology with a dense GNSS network: Multiple source signatures in coseismic ionospheric disturbances by the 2024 Noto earthquake Kosuke Heki
16:30 - 16:45 MTT37-10 Traveling Ionospheric Disturbances Following the 2024 Noto Peninsula Earthquake: Total Electron Content Observations by Ultra-Dense GNSS Receiver Networks Yuichi Otsuka
Presentation No Title Presenter
Poster Presentation May 29 PM3
MTT37-P01 Establishment of a “Consortium to utilize the SoftBank original reference sites for Earth and Space Science” and its operation Yusaku Ohta
MTT37-P02 Estimation of slip distribution of the 2024 Noto Peninsula earthquake based on dense GNSS observation network Taisuke Yamada
MTT37-P03 Analysis of quasi-stationary rainband occurred in west Kochi prefecture on June 2, 2023 Fumie Murata
MTT37-P04 Detection of Volcanic Crustal Deformation by Dense GNSS Observations in Northern Kyushu Takahiro Ohkura
MTT37-P05 Transient crustal deformation around the Kussharo Caldera, eastern Hokkaido, captured by dense GNSS observation Network Mako Ohzono
MTT37-P06 Crustal deformation around Izu collision zone, Japan, inferred from highly resolved geodetic data Ryosuke Doke
MTT37-P07 Noise characteristics in GNSS time series based on robust spectral analysis: (1) Description of robust spectral estimation Keisuke Yano
MTT37-P08 Noise characteristics in GNSS time series based on robust spectral analysis: (2) application to GEONET F5 solution Masayuki Kano
MTT37-P09 Characteristics of ionospheric disturbances after the 2024 Noto earthquake measured with two dense GNSS observation networks in Japan Atsuki Shinbori
MTT37-P10 Ionospheric Disturbances associated with the 2024 Noto Peninsula Earthquake observed with HF Doppler sounding and TEC Hiroyuki Nakata