Solid Earth Sciences (S)
Session Sub-category Seismology (SS)
Session ID S-SS06
Title Earthquake prediction and forecast
Short Title Earthquake prediction and forecast
Main Convener Name Kei Katsumata
Affiliation Institute of Seismology and Volcanology, Hokkaido University
Co-Convener 1 Name Masao Nakatani
Affiliation Earthquake Research Institute of the University of Tokyo
Session Language 
J
Scope 
This session provides the opportunity for presenting researches on prediction or forecasting of earthquake occurrences in wide sense, including times, places, sizes, or source mechanisms. Also, this session welcomes scientific discussions on possible causal relations to some other observation data, forecasting simulations based on theoretical models, developments and applications on statistical evaluation method for the verification of retrospective experiments, etc.
Presentation Format Oral and Poster presentation
Presentation No Title Presenter
Poster Presentation May 29 PM3
SSS06-P01 Testing the Potential of Deep Learning in Earthquake Forecasting Johannes Faber
SSS06-P02 An Enhanced Earthquake Early Warming System based on Deep Learning and Multi-station Data Wen-Wei Lin
SSS06-P03 A new method to predict big earthquakes based on Shindo-data, Meteorological Agency: Correction of aftershocks and swarms, contour of equal rate of occurrence on map of Japan Takuya Kawanishi
SSS06-P04 Study on stress characteristics in the vicinity of Lushan M5.8 earthquake in 2022 Yawei Ma
SSS06-P05 Challenge for detection of earthquake precursor in Taiwan revealed by GNSS analysis Min-Chien Tsai
SSS06-P06 Seasonal precipitation and winter dominance of earthquake activity along the northeastern coast of the Arabian Gulf Muhammad Usman
SSS06-P07 Static stress changes associated with major earthquakes in the Chubu-Kinki regions over the past 130 years and their influence on nearby active faults Naoki Shukutani
SSS06-P08 The Ionospheric Plasma Perturbations detected by the China Seismo-Electromagnetic Satellite before a Sequence of Strong Earthquakes in 2018 Dapeng Liu
SSS06-P09 Re-examination of TEC anomalies in the ionosphere before large earthquakes Kai Koyama