Continuously active sources of seismic noise are generated by numerous dynamic processes within the near-surface part of the Earth or by external forcing at the atmosphere-solid earth interface. Identification, location and monitoring of such sources with seismic arrays can significantly contribute to the understanding of underlying complex processes both of natural and anthropogenic origin.

These sources are often hard to identify in raw seismic records due to their low energy level, missing clear onsets and extended or multiple locations. Advanced beamforming and/or migration techniques that make use of the spatial coherency of the recorded wave field across a sensor array are needed to enhance the spatial resolution and discriminate interfering sources. Moreover, the analysis of different time windows or continuous monitoring allows the direct observation of spatio-temporal changes of the driving forces.

In this session, we invite contributions from all communities that address the passive seismic investigation of processes within various environmental settings, such as sub-surface fluid flow, tremors, sub-volcanic phenomena, glacier movements, storms, landslides, cities etc.
We welcome both contributions of recent observations and of methodological developments which improve the identification and isolation of signals from array data, image multiple ‘active’ areas, and monitor temporal changes of source activity. The presentation of approaches utilizing multiple tools such as wave field modeling and machine learning, are very much appreciated.