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NH4.7/AS4.37/EMRP4.21/SM3.5

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 , Giovanni Martinelli , Dimitar Ouzounov , Gerasimos Papadopoulos 
Orals
 / Wed, 20 Apr, 13:30–19:00  / Room L3
Posters
 / Attendance Wed, 20 Apr, 10:30–12:00  / Hall D
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. To this aim 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 the GEOSS-EQuOS initiative.
Not minor scope of this session is to make bridges among scientific communities, not only limited to seismology and natural hazards scientists but also including, for instance, 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.
Public information: 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 (time-Dependent Assessment of Seismic Hazard) 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 (Short-term Earthquakes Forecast) perspectives.