Abstract. Time-lapse monitoring of the subsurface using ambient seismic noise is a
popular method in environmental seismology. We assess the reliability of the
horizontal-to-vertical spectral ratio (HVSR) method for monitoring seasonal
permafrost active layer variability in northwest Svalbard. We observe complex
HVSR variability between 1 and 50 Hz in the record of a temporary seismic
deployment covering frozen and thawed soil conditions between April and
August 2016. While strong variations are due to changing noise conditions,
mainly affected by wind speed and degrading coupling of instruments during
melt season, a seasonal trend is observed at some stations that has most
likely a subsurface structural cause. A HVSR peak emerges close to the
Nyquist frequency (50 Hz) in beginning of June which is then gradually
gliding down, reaching frequencies of about 15–25 Hz in the end of August.
This observation is consistent with HVSR forward modeling for a set of
structural models that simulate different stages of active layer thawing. Our
results reveal a number of potential pitfalls when interpreting HVSRs and
suggest a careful analysis of temporal variations since HVSR seasonality is
not necessarily related to changes in the subsurface. In addition, we
investigate if effects of changing noise sources on HVSRs can be avoided by
utilizing a directional, narrowband (4.5 Hz) repeating seismic tremor which
is observed at the permanent seismic broadband station in the study area.
A significant change of the radial component HVSR shape during summer months
is observed for all tremors. We show that a thawed active layer with very low
seismic velocities would affect Rayleigh wave ellipticities in the tremor
frequency band. We compile a list of recommendations for future experiments,
including comments on network layouts suitable for array beamforming and
waveform correlation methods that can provide essential information on noise
source variability.