Snow Suppresses Seismic Signals From Steamboat Geyser
| Autor: | Mara H. Reed, Michael Manga |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Geophysical Research Letters, Vol 50, Iss 12, Pp n/a-n/a (2023) |
| Druh dokumentu: | article |
| ISSN: | 1944-8007 0094-8276 |
| DOI: | 10.1029/2023GL103904 |
| Popis: | Abstract Geyser and volcano monitoring suffer from temporal, geographic, and instrumental biases. We present a recording bias identified through multiyear monitoring of Steamboat Geyser in Yellowstone National Park, USA. Eruptions of Steamboat are the tallest of any geyser in the world and they produce broadband signals at two nearby stations in the Yellowstone National Park Seismograph Network. In winter, we observe lower eruption signal amplitudes at these seismometers. Instead of a source effect, we find that environmental conditions affect the recorded signals. Lower amplitudes for 23–45 Hz frequencies are correlated with greater snow depths at the station 340 m away from Steamboat, and we calculate an energy attenuation coefficient of 0.21 ± 0.01 dB per cm of snow. More long‐term monitoring is needed at geysers to track changes over time and identify recording biases that may be missed during short, sporadic studies. |
| Databáze: | Directory of Open Access Journals |
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