Japan Geoscience Union Meeting 2022

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[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS10] Interdisciplinary studies on pre-earthquake processes

Sun. May 22, 2022 1:45 PM - 3:15 PM 101 (International Conference Hall, Makuhari Messe)

convener:Katsumi Hattori(Department of Earth Sciences, Graduate School of Science, Chiba University), convener:Jann-Yenq LIU(Department of Space Science and Engineering, National Central University, Taiwan), Dimitar Ouzounov(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA), convener:Qinghua Huang(Peking University), Chairperson:Katsumi Hattori(Department of Earth Sciences, Graduate School of Science, Chiba University), Dimitar Ouzounov(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA)

1:45 PM - 2:00 PM

[MIS10-01] Identification of pre-earthquake atmospheric and ionospheric anomalies and their regional features

*Dimitar Ouzounov1, Sergey A Pulinets2, Jann-Yenq Tiger Liu3, Katsumi Hattori4, Menas Kafatos1, Patrick Taylor5 (1.Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA, 2.Space Research Institute, Russian Academy of Science, 3.National Central University, 4.Graduate School of Science, Chiba University, 5.GSFC, NASA)

Keywords:pre-earthquake atmospheric anomaly, pre-earthquake a ionospheric anomaly, Molchan Error Diagram

Space and ground observations have shown that there are pre-earthquake atmospheric thermal and ionospheric signals related to major (M>6) over the region of high seismicity (Japan, Taiwan). We still need to understand the spatiotemporal characteristics of pre-earthquake phenomena and their spatial distribution. In this study, we explore the Thermal Radiation Anomalies (TRA), Global Ionospheric Map /Total electron Contents (GIM/TEC), and Seismo-Ionospheric Anomalies (SIA) over Kamchatka (Russia), Japan, Taiwan, and Greece; seismic regions in the retrospective mode for the period of 2008-2020 for major seismicity (M>6). We use Molchan Error Diagram (MED) as a statistical evaluation tool based on different physical statistics. We found some spatial-temporal and regional dependency of TRA and SIA statistics (in days) for each region and some common features for all. In cases where a transition was made from a single satellite measurement to multi-parameter measurements, it was possible to ensure reliability by reducing the level of false alarms and enriching the physical completeness of the observed phenomenon.
MED shows that TRA and GIM/TEC SIA statistics over Kamchatka, Japan, Taiwan, and Greece for M>6 from 2008 to 2020 are better than the random guessing. This suggests that physically based pre-earthquake TRA and SIA over the tested regions are common and can provide additional short-term information for the earthquake processes.