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Short-term Earthquakes Forecast (StEF) and multi-parametric time-Dependent Assessment of Seismic Hazard (t-DASH) (co-organized)
Convener: Valerio Tramutoli  | Co-Conveners: Pier Francesco Biagi , Katsumi Hattori , Jann-Yenq Liu , Vladimir Kossobokov , Gerasimos Papadopoulos , Dimitar Ouzounov , Giovanni Martinelli 
 / Tue, 25 Apr, 10:30–12:00
 / Attendance Tue, 25 Apr, 17:30–19:00

Although the problem of earthquake prediction seems not solved so far, real-time integration of multi-parametric observations has already demonstrated a high potential in the development of operational t-DASH systems suitable for supporting decision makers with continuously updated seismic hazard scenarios. However, a very preliminary step in this direction is the identification of those parameters (seismological, chemical, physical, biological, etc.) whose space-time dynamics and/or anomalous variability can be, to some extent, associated with the complex process of preparation for major earthquakes.
This session wants then to encourage studies devoted to demonstrate the added value of the introduction of specific observations and/or data analysis methods within the t-DASH and StEF perspectives. Therefore studies based on long-term data analyses, including different conditions of seismic activity, are particularly encouraged. Similarly welcome will be the presentation of infrastructures devoted to maintain and further develop our present observational capabilities of earthquake related phenomena also contributing in this way to build a global multi-parametric Earthquakes Observing System to complement the existing GEOSS-EPOS initiative.
To this aim this session is not addressed just to seismology and natural hazards scientists but also to geologist, atmospheric sciences and electromagnetism researchers, whose collaboration is particular important for fully understand mechanisms of earthquake preparation and their possible relation with other measurable quantities. For this reason all contributions devoted to the description of genetic models of earthquake’s precursory phenomena are equally welcome. Selected papers will be proposed for publication in a dedicated Special Issue of an international (ISI) scientific journal.