Assessing the time-dependent probability of earthquakes and anticipating their cascading effects—including earthquake-generated tsunami waves and volcanic unrest—remain major challenges in Earth sciences. Recent advances in ground-based and spaceborne observations, laboratory experiments, numerical modelling, statistical analysis, computational methods and data-driven approaches offer unprecedented opportunities to investigate preparatory processes and evolving hazards by integrating heterogeneous observations across the different domains of the Earth system.
The session aims to foster interdisciplinary discussion on earthquake-related processes and to assess critically how multiparametric observations, physical knowledge and advanced data-analysis methods can improve our understanding, forecasting and time-dependent assessment of seismic and volcanic hazards and their impacts.
Particularly welcome are studies addressing:
- Ground-based and satellite observations of electric, magnetic, electromagnetic anomalies potentially associated with impending seismic and volcanic activity;
- Multi-parametric seismological, geodetic, geological, geochemical, hydrological, atmospheric and ionospheric observations;
- Lithosphere Atmosphere Ionosphere Coupling (LAIC) and related measurements;
- Transient deformation, fluid-related processes, seismicity patterns, earthquake-generated tsunami waves and other coupled phenomena;
- Possible relationships between seismic processes, Earth tides, lunar forcing, solar–Earth interactions and Space Weather;
- Theoretical models, numerical simulations and long-term data-analyses;
- Artificial intelligence, machine learning and deep-learning methods for anomaly detection, data integration, forecasting and uncertainty assessment.
Contributions presenting results from new instruments, innovative observational infrastructures and current or forthcoming satellite missions investigating atmospheric, ionospheric and electromagnetic disturbances potentially related to seismic and volcanic activity are especially encouraged.
Further contributions may focus on real-time monitoring, multimission and multiplatform data integration, open-data services and interoperable platforms supporting the development of integrated Earthquake Observing Systems.
NH4
Short-Term Earthquake Forecasting (StEF) and Time-Dependent Assessment of Seismic Hazard (t-DASH) through Earth Observations and Data-Driven Approaches
Co-organized by EMRP1/ESSI/GD/GI4/SM9/ST, co-sponsored by
JpGU and EMSEV
Convener:
Valerio Tramutoli
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Co-conveners:
Roberto ColonnaECSECS,
Nicola Genzano,
Katsumi Hattori,
Zeren Zhima