Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology
Cryoseismology is a powerful toolset for progressing the understanding of the structure and dynamics of glaciers and ice sheets. It can enable the detection of hidden processes such as brittle fracture, basal sliding, transient hydrological processes, and calving. Addressing the challenge of detecti...
Main Authors: | , , , |
---|---|
Format: | Text |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://doi.org/10.5194/egusphere-2023-1340 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1340/ |
id |
ftcopernicus:oai:publications.copernicus.org:egusphere112436 |
---|---|
record_format |
openpolar |
spelling |
ftcopernicus:oai:publications.copernicus.org:egusphere112436 2024-06-23T07:47:36+00:00 Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology Latto, Rebecca B. Turner, Ross J. Reading, Anya M. Winberry, J. Paul 2024-04-30 application/pdf https://doi.org/10.5194/egusphere-2023-1340 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1340/ eng eng doi:10.5194/egusphere-2023-1340 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1340/ eISSN: Text 2024 ftcopernicus https://doi.org/10.5194/egusphere-2023-1340 2024-06-13T01:23:50Z Cryoseismology is a powerful toolset for progressing the understanding of the structure and dynamics of glaciers and ice sheets. It can enable the detection of hidden processes such as brittle fracture, basal sliding, transient hydrological processes, and calving. Addressing the challenge of detecting signals from many different processes, we present a novel approach for the semi-automated detection of events and event-like noise, which is well-suited for use as Part 1 of a workflow where unsupervised machine learning will be used as Part 2 ( Latto et al. , 2024 ) to facilitate the main reconnaissance of diverse detected event types. Implemented in the open-source and widely used ObsPy Python package, the multi-STA/LTA algorithm constructs a hybrid characteristic function from a set of short-term average (sta)–long-term average (lta) pairs (refer to Sect. 2 in the main text for an explanation of how uppercase and lowercase STA/sta and LTA/lta abbreviations are differentiated). We apply the algorithm to data from a seismic array deployed on the Whillans Ice Stream (WIS) in West Antarctica (austral summer 2010–2011) to form a “catch-all” catalogue of events and event-like noise. The new algorithm compares favorably with standard approaches, yielding a diversity of seismic events, including all previously identified stick-slip events ( Pratt et al. , 2014 ) , teleseisms, and other noise-type signals. In terms of a catalogue overview, we investigate a partial association of seismicity with the tidal cycle and a slight association with ice temperature changes of the Antarctic summer. The new algorithm and workflow will assist in the comparison of different glacier environments using seismology, the identification of process change over time, and the targeting of possible subsequent high-resolution studies. Text Antarc* Antarctic Antarctica West Antarctica Whillans Ice Stream Copernicus Publications: E-Journals Antarctic Austral Pratt ENVELOPE(176.683,176.683,-85.400,-85.400) The Antarctic West Antarctica Whillans ENVELOPE(-64.250,-64.250,-84.450,-84.450) Whillans Ice Stream ENVELOPE(-145.000,-145.000,-83.667,-83.667) |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
Cryoseismology is a powerful toolset for progressing the understanding of the structure and dynamics of glaciers and ice sheets. It can enable the detection of hidden processes such as brittle fracture, basal sliding, transient hydrological processes, and calving. Addressing the challenge of detecting signals from many different processes, we present a novel approach for the semi-automated detection of events and event-like noise, which is well-suited for use as Part 1 of a workflow where unsupervised machine learning will be used as Part 2 ( Latto et al. , 2024 ) to facilitate the main reconnaissance of diverse detected event types. Implemented in the open-source and widely used ObsPy Python package, the multi-STA/LTA algorithm constructs a hybrid characteristic function from a set of short-term average (sta)–long-term average (lta) pairs (refer to Sect. 2 in the main text for an explanation of how uppercase and lowercase STA/sta and LTA/lta abbreviations are differentiated). We apply the algorithm to data from a seismic array deployed on the Whillans Ice Stream (WIS) in West Antarctica (austral summer 2010–2011) to form a “catch-all” catalogue of events and event-like noise. The new algorithm compares favorably with standard approaches, yielding a diversity of seismic events, including all previously identified stick-slip events ( Pratt et al. , 2014 ) , teleseisms, and other noise-type signals. In terms of a catalogue overview, we investigate a partial association of seismicity with the tidal cycle and a slight association with ice temperature changes of the Antarctic summer. The new algorithm and workflow will assist in the comparison of different glacier environments using seismology, the identification of process change over time, and the targeting of possible subsequent high-resolution studies. |
format |
Text |
author |
Latto, Rebecca B. Turner, Ross J. Reading, Anya M. Winberry, J. Paul |
spellingShingle |
Latto, Rebecca B. Turner, Ross J. Reading, Anya M. Winberry, J. Paul Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
author_facet |
Latto, Rebecca B. Turner, Ross J. Reading, Anya M. Winberry, J. Paul |
author_sort |
Latto, Rebecca B. |
title |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
title_short |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
title_full |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
title_fullStr |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
title_full_unstemmed |
Towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – Part A: Event detection for cryoseismology |
title_sort |
towards the systematic reconnaissance of seismic signals from glaciers and ice sheets – part a: event detection for cryoseismology |
publishDate |
2024 |
url |
https://doi.org/10.5194/egusphere-2023-1340 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1340/ |
long_lat |
ENVELOPE(176.683,176.683,-85.400,-85.400) ENVELOPE(-64.250,-64.250,-84.450,-84.450) ENVELOPE(-145.000,-145.000,-83.667,-83.667) |
geographic |
Antarctic Austral Pratt The Antarctic West Antarctica Whillans Whillans Ice Stream |
geographic_facet |
Antarctic Austral Pratt The Antarctic West Antarctica Whillans Whillans Ice Stream |
genre |
Antarc* Antarctic Antarctica West Antarctica Whillans Ice Stream |
genre_facet |
Antarc* Antarctic Antarctica West Antarctica Whillans Ice Stream |
op_source |
eISSN: |
op_relation |
doi:10.5194/egusphere-2023-1340 https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1340/ |
op_doi |
https://doi.org/10.5194/egusphere-2023-1340 |
_version_ |
1802651736164270080 |