Multidisciplinary and Interdisciplinary (M) | ||
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Session Sub-category | Technology & Techniques(TT) | |
Session ID | M-TT37 | |
Title | New Developments in Earth Science Explored 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 | Mikiko Fujita |
Affiliation | Japan Agency for Marine-Earth Science and Technology | |
Co-Convener 2 | Name | Yuichi Otsuka |
Affiliation | Institute for Space-Earth Environmental Research, Nagoya University | |
Co-Convener 3 | Name | Takuya NISHIMURA |
Affiliation | Disaster Prevention Research Institute, Kyoto University | |
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 26 PM1 | |||
13:45 - 14:00 | MTT37-01 | Operation and current achievement of a “Consortium to utilize the SoftBank original reference sites for Earth and Space Science” | Yusaku Ohta |
14:00 - 14:15 | MTT37-02 | Heavy rains inflate the Fuji Volcano: Hydro-geodetic application of GNSS | Kosuke Heki |
14:15 - 14:30 | MTT37-03 | Modeling the Crustal Deformation Field in Kyushu with post-seismic deformation of the 2016 Kumamoto earthquake using dense GNSS observation data | Yushi Nagayama |
14:30 - 14:45 | MTT37-04 | Estimation of a coseismic slip distribution model considering self-similarity of the 2024 Noto Peninsula earthquake using very dense geodetic observation | Taisuke Yamada |
14:45 - 15:00 | MTT37-05 | Dense GNSS Observation around the Western Nagaoka Plain Fault Zone: Postseismic Deformation after the 2024 Noto Peninsula Earthquake | Takeshi Sagiya |
15:00 - 15:15 | MTT37-06 | Utilizing Dense Tropospheric Delay Products from GNSS in InSAR Noise Correction | Yo Fukushima |
Oral Presentation May 26 PM2 | |||
15:30 - 15:45 | MTT37-07 | Characteristics of traveling ionospheric disturbances after the 2024 Noto Peninsula earthquake detected with two dense GNSS observation networks in Japan | Atsuki Shinbori |
15:45 - 16:00 | MTT37-08 | Impact of Ionospheric Disturbances on Global Navigation Satellite System Positioning During a Geomagnetic Storm in May 2024 | Kyosei Nakamura |
16:00 - 16:15 | MTT37-09 | Study of Conditions for Occurrence of Plasma Bubbles Reaching Mid-Latitudes Based on GNSS observations at the American Longitudinal Sector | Yuichi Otsuka |
16:15 - 16:30 | MTT37-10 | High-Resolution 3-D GNSS Tomography of Medium-Scale Traveling Ionospheric Disturbances Driven by Atmospheric Gravity Waves Over Japan | Weizheng Fu |
16:30 - 16:45 | MTT37-11 | Optimization of a GNSS multipath noise reduction method based on MHM methods | Yoshiaki Ito |
Presentation No | Title | Presenter |
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Poster Presentation May 26 PM3 | ||
MTT37-P01 | Proposal for a Correction Method for Displacement Steps Caused by Maintenance in SoftBank Original reference Sites Time Series | Miku Ohtate |
MTT37-P02 | Preliminary analysis of common-mode errors at GNSS stations operated by SoftBank | Yutaro Okada |
MTT37-P03 | Postseismic deformation of the 2024 M7.6 Noto Peninsula earthquake observed by dense GNSS networks | Takuya NISHIMURA |
MTT37-P04 | Reevaluating crustal deformation around Hakone volcano based on dense GNSS data | Soichiro Tashiro |
MTT37-P05 | An analysis of the quasi-stationary rainband developed in the Midwest Kochi on 4-5 July 2022 | Fumie Murata |
MTT37-P06 | Development of dense GNSS atmospheric delay database around Japan | Mikiko Fujita |
MTT37-P07 | A study on local-scale variations in tropospheric delay using observational data sets with dense GNSS stations | Takayuki Yoshihara |
MTT37-P08 | Performance of Sporadic E layer imaging by the ultra-dense GNSS network as compared with the real-time product with GEONE | Susumu Saito |
MTT37-P09 | Visualization of shape and motion of Sporadic E using data from ultra-dense GNSS receiver network | Shunta Tano |
MTT37-P10 | Temporal Variation in 1-second TEC Data Derived from Ultra-Dense GNSS Observation Network | Hiroyuki Nakata |