Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study Using CO2‐Driven Cold‐Water Geyser in Chimayó, New Mexico-Reference-Cited by-同舟云学术

Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study Using CO2‐Driven Cold‐Water Geyser in Chimayó, New Mexico

Published:2019-02-13 Issue:2A Volume:90 Page:591-603
ISSN:0895-0695
Container-title:Seismological Research Letters
language:en
Short-container-title:

Author:

Yuan Baichuan¹,Tan Yen Joe²,Mudunuru Maruti K.³,Marcillo Omar E.⁴,Delorey Andrew A.⁴,Roberts Peter M.⁵,Webster Jeremy D.⁶,Gammans Christine N. L.⁶,Karra Satish³,Guthrie George D.⁴,Johnson Paul A.⁴

Affiliation:

1. Department of Mathematics, University of California Los Angeles, 520 Portola Plaza, Los Angeles, California 90095 U.S.A.

2. Department of Earth and Environmental Sciences, Columbia University, 303F Oceanography, 61 Route 9W ‐ PO Box 1000, Palisades, New York 10964‐8000 U.S.A.

3. Computational Earth Science Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, TA‐03, Building 0261, Mailstop T003, Los Alamos, New Mexico 87545 U.S.A., maruti@lanl.gov

4. Geophysics Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, TA‐03, Building 0215, Mailstop D446, Los Alamos, New Mexico 87545 U.S.A.

5. Geophysics Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, TA‐03, Building 0215, Mailstop D452, Los Alamos, New Mexico 87545 U.S.A.

6. Geophysics Group, Earth and Environmental Sciences Division, Los Alamos National Laboratory, TA‐03, Building 0216, Mailstop F665, Los Alamos, New Mexico 87545 U.S.A.

Publisher

Seismological Society of America (SSA)

Subject

Geophysics

Link

https://pubs.geoscienceworld.org/ssa/srl/article-pdf/90/2A/591/4655340/srl-2018306.1.pdf

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