What is it about?
We use seismic data acquired in the underground laboratory at Canfranc (Central Pyrenees) during 6 years to monitor flow variations in the Aragon River resulting from snow melting. We identify days with active snow melt from the inspection of the amplitude and frequency content of the seismic signals, that reproduce the daily cycle of the snow melting process. We use statistical methods to class the different snow melt episodes accordingly to their intensity to finally compare the results obtained for each season.
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Why is it important?
The results of this work make possible to document the time extent and characteristics of the six analyzed melting seasons in the central Pyrenees using an objective methodology. This data provide additional constrains to study the effect of climate changes in mountain environments.
Read the Original
This page is a summary of: Hierarchical classification of snowmelt episodes in the Pyrenees using seismic data, PLoS ONE, October 2019, PLOS, DOI: 10.1371/journal.pone.0223644.
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