3:30 PM - 3:45 PM
[SSS07-01] Improving medium-term earthquake forecasts by compensating the EEPAS model for the time-lag
★Invited Papers
David Rhoades1, Christophersen Annemarie1, *Matt Gerstenberger1 (1.GNS Science)
[E] Oral
S (Solid Earth Sciences ) » S-SS Seismology
Mon. May 27, 2019 3:30 PM - 5:00 PM A10 (TOKYO BAY MAKUHARI HALL)
convener:Jiancang Zhuang(Institute of Statistical Mathematics), Danijel Schorlemmer(GFZ German Research Centre for Geosciences), Matt Gerstenberger(GNS Science), Hiroshi Tsuruoka(Earthquake Research Institute, Tokyo Univ.), Chairperson:Matthew Gerstenberger(GNS Science, New Zealand), Danijel Schorlemmer(GFZ-Potsdam, Germany)
Probabilistic models have been developed for describing, analyzing, and forecasting seismicity
since more than 100 years and, with the advent of large-scale digital networks, in high
resolution during the last 30 years. These models include recurrence and stress-release models
for long-term earthquake hazard assessment, and short-term models describing earthquake
clustering, e.g. the ETAS model. Some models have become standard tools in seismic hazard
assessment. However, the overall probabilities remain on the low end and the uncertainties of
the forecasts are not well described. Rigorous data-based development and testing of models
will help further improving forecasting power and accuracy of these models. Similarly, new
hypotheses shall be evaluated rigorously using some existing model as the null hypothesis
model or in dedicated tests addressing the hypothesis directly. In this context, the Collaboratory
for the Study of Earthquake Predictability and its Japan branch provides the necessary testing
capabilities for rigorous and unbiased evaluation of models and hypotheses. This session
focuses on research that increases information on seismicity, being with respect to a reference
model or as an independent hypothesis. We solicit contributions of model developments and
hypothesis formulation based on the increased understanding of the physical process of
earthquakes, such as the preparation and rupture processes of the earthquake source and the
interaction between earthquakes and tectonic environments. We also welcome development
and implementation of improved statistical methods for testing and validating physical
hypotheses based on observed data. In particular, we welcome contributions about model- or
hypothesis-test experiments that could be implemented in the Japan testing center.
3:30 PM - 3:45 PM
David Rhoades1, Christophersen Annemarie1, *Matt Gerstenberger1 (1.GNS Science)
3:45 PM - 4:00 PM
*Peng Han1, Jiancang Zhuang2, Yosihiko Ogata2, Katsumi Hattori3 (1.Southern University of Science and Technology, Shenzhen, China, 2.The Institute of Statistical Mathematics, Tokyo, Japan , 3.Chiba University, Chiba, Japan)
4:00 PM - 4:15 PM
*YICUN GUO1, Jiancang Zhuang1, Yosihiko Ogata1 (1.The Institute of Statistical Mathematics, Tokyo, Japan)
4:15 PM - 4:30 PM
*Naoshi Hirata1, Hiroshi Tsuruoka1, Danijel Schorlemmer3, Jiancang Zhuang2 (1.Earthquake Research Institute, the University of Tokyo, 2.Institute of Statistical Mathematics, 3.GFZ German Research Centre for Geosciences)
4:30 PM - 4:45 PM
*Kuo-Fong Ma1,2,3, Mingshen Yen1, Yiwun Liao1, Henyi Su2 (1.Earthquake - Disaster & Risk Evaluation and Managment (E-DREaM) Center, National Central University, Taiwan, ROC, 2.Department of Earth Sciences, National Central University, Taiwan, ROC, 3.Institute of Earth Sciences, Academia Sinica, Taiwan, ROC)
4:45 PM - 5:00 PM
*Yosihiko Ogata1,2, Koichi Katsura, Hiroshi Tsuruoka2, Naoshi Hirata2 (1.Research Organization of Information and Systems, The Institute of Statistical Mathematics, 2.Earthquake Research Institute, The University of Tokyo)
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