Ambient seismic noise, once regarded as a nuisance, is now a core part of the seismological toolkit. It is a key element of a revolution in passive seismic imagery using noise sources and have been used to generate seismic images in a variety of settings. Despite these advances there are many unknowns regarding e.g. the microseism sources themselves: their detailed locations, their spatial and temporal distribution, the partitioning of the seismic wavefield at the source location. These variables likely affect the stability of seismic ‘noise correlation’ images and play an important role, especially in time-lapse imagery. There is also growing interest in using passive seismic imagery for time-lapse studies, due the continuously available noise sources. The effects of dynamic processes in the Earth's crust on the propagation velocity of seismic waves have been observed in numerous investigations including earthquake triggering and relaxation, volcano and landslide dynamics as well as production from hydrocarbon reservoirs and geothermal fields.

In this session, we will cover all aspects of seismic interferometry and ambient noise based seismology. We invite contributions concerning multi-scale applications using seismic noise or interferometry, such as imaging structure and monitoring subsurface changes. This extends to evaluations of the accuracy of noise-based measurements for use in tomography or time-dependent imaging. Of interest are also theoretical advances, such as those exploring the role of source distribution or scattering, as well as methodological improvements and alternative processing techniques aimed at improving the quality of the correlations. Finally, we welcome abstracts investigating the sources of ambient seismic noise (microseisms, hum, microbaroms, etc) and their generation processes. As cooperation among scientists across Europe on the topic of noise studies is now supported through the COST-action "TIDES" (TIme DEpendent Seismology), we encourage contributions from participating institutions.