An Unsupervised Machine‐Learning Approach to Understanding Seismicity at an Alpine Glacier-Reference-Cited by-同舟云学术

An Unsupervised Machine‐Learning Approach to Understanding Seismicity at an Alpine Glacier

Published:2022-12 Issue:12 Volume:127 Page:
ISSN:2169-9003
Container-title:Journal of Geophysical Research: Earth Surface
language:en
Short-container-title:JGR Earth Surface

Author:

Sawi T.¹^ORCID,Holtzman Ben¹^ORCID,Walter Fabian²,Paisley John³

Affiliation:

1. Lamont‐Doherty Earth Observatory Columbia University Palisades NY USA

2. ETH Zürich Versuchsanstalt für Wasserbau Hydrologie und Glaziologie VAW Eidgenössische Forschungsanstalt für Wald Schnee und Landschaft WSL Birmensdorf Switzerland

3. Department of Electrical Engineering Columbia University New York NY USA

Funder

National Science Foundation

Brinson Foundation

Columbia University

Lamont-Doherty Earth Observatory

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

American Geophysical Union (AGU)

Subject

Earth-Surface Processes,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JF006909

Reference64 articles.

1. Glacial seismology

2. Subglacial discharge at tidewater glaciers revealed by seismic tremor

3. Statistical Inference for Probabilistic Functions of Finite State Markov Chains

4. Machine learning for data-driven discovery in solid Earth geoscience

5. Machine Learning in Volcanology: A Review

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