Skip to content

beccalatto/multi_sta_lta

Repository files navigation

DOI

Multi-STA/LTA (Additional materials)

MultiSTALTA_UseGuide.pdf: How-to guide to download the multi-STA/LTA function and use in ObsPy

entrypoints.txt: Replacement text file for implementing multi-STA/LTA in Python

trigger.py: ObsPy script with all native trigger routines and including the multi-STA/LTA routine


Repository architecture, including folder and file names with descriptions, is listed below.

event_detection_for_cryoseismology/

detection catalogues/

ReferenceEventCatalogueWhillansMultiSTALTA.csv: Reference event catalogue for the Whillans Ice Stream from the multi-STA/LTA algorithm

TraceEventCatalogueWhillansMultiSTALTA.csv : Trace event catalogue for the Whillans Ice Stream from the multi-STA/LTA algorithm

ReferenceEventCatalogueWhillansRECmin.csv: Reference event catalogue for the Whillans Ice Stream from the recursive algorithm with RECmin parameters

TraceEventCatalogueWhillansRECmin.csv: Trace event catalogue for the Whillans Ice Stream from the recursive algorithm with RECmin parameters

ReferenceEventCatalogueWhillansRECmax.csv: Reference event catalogue for the Whillans Ice Stream from the recursive algorithm with RECmax parameters

TraceEventCatalogueWhillansRECmax.csv: Trace event catalogue for the Whillans Ice Stream from the recursive algorithm with RECmax parameters

labelled_catalogues/

ReferenceEventCatalogueWhillansMultiSTALTAConfidenceAssignments.csv: Reference event catalogue for the Whillans Ice Stream from the multi-STA/LTA algorithm with high and low confidence assignments

ReferenceEventCatalogueWhillansMultiSTALTAKnownSeismicity.csv: Reference event cat- alogue for the Whillans Ice Stream from the multi-STA/LTA algorithm with identified stick-slip and teleseisms events

ReferenceEventCatalogueWhillansMultiSTALTATidesTable.txt: The .txt file contains all of the reference catalogue columns as well as tidal height per event, tidal height derivative (increasing or decreasing), absolute tidal height behavior (more or less positive, more or less negative), and inflection type (minimum, maximum, or none). Tidal information results from the Circum-Antarctic Tidal Sim- ulation for the location downstream from the grounding line of the Whillans Ice Stream (coordinate: 84 °20’20.3994”S -166°0’0”W) (Padman et al., 2002; Howard, 2019)

parameter_evaluation/

EventDetectSectionS2.ipynb: Open access Python notebook used for the computational analysis and compilation of figures included in Section S2 of Event detection for cryoseismology. Notebook sections organized by...

□ S2.2a: Simulation of test waveforms for algorithm development
□ S2.2a.1: Representative event classes
□ S2.2a.2: Simulated seismic signal

□ S2.2b: Parameter search to optimize the application of the multi-STA/LTA
□ S2.2b.1: Defining the fine-grid of parameters
□ S2.2b.2: Assessing the success of event detection
□ S2.2b.3: Parameter search results
□ S2.2b.4: Parameter recommendations
□ S2.2b.5: Comparison of algorithms for synthetic data

MyAnalystPlots/

MyAnalystPlots.py: Routine that plots events from the multistalta catalogue. The script enables for event viewing in all three components (E,N,Z) and all stations that detect an event. PDF products of the waveform views of the known Whillans Ice Stream seismicity, produced using the MyAnalystPlots.py routine, made available separately by request to author (due to file size).

unsupervised_learning_for_cryoseismology/

TraceFeatureDatasetWhillans.csv: Trace feature dataset for the Whillans Ice Stream
ReferenceFeatureDatasetWhillans.csv: Reference feature dataset for the Whillans Ice Stream
ReferenceClusterLabelsWhillans k10.csv: Reference event catalogue with reference features and a column for the cluster label from k-means++ applied to data from the Whillans Ice Stream, for k=10


References:

Latto, R. (2022). Active Glacier Processes From Machine Learning Applied to Seismic Records [MSc Thesis]. University of Tasmania. School of Natural Sciences (Physics).

Latto, R., Turner, R. J., Reading, A. M., Winberry, J. P., “Event detection for cryoseismology.” The Cryosphere, in preparation for submission Feb 2024.

Latto, R., Turner, R. J., Reading, A. M., Cook, S., Kulessa, B., Winberry, J. P., “Unsupervised learning applied to cryoseismic signals: identification of glacier processes from the Whillans Ice Stream.” The Cryosphere, in preparation for submission Feb 2024.