Multidisciplinary and Interdisciplinary (M) | ||
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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 |
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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. |
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Presentation Format | Oral and Poster presentation |
Time | Presentation No | Title | Presenter |
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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 |
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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 |