Maechlin at 01:54, 13 October 2020

2020-10-13T01:54:59Z

Maechlin: /* Information about seismic networks */

2018-05-11T20:41:02Z

Information about seismic networks

Maechlin: Created page with "Machine learning technologies are progressing rapidly and we want to apply these new technologies to the earthquake system science problems we are working on. == Information..."

2018-05-11T20:39:55Z

Created page with "Machine learning technologies are progressing rapidly and we want to apply these new technologies to the earthquake system science problems we are working on. == Information..."

New page

Machine learning technologies are progressing rapidly and we want to apply these new technologies to the earthquake system science problems we are working on.

== Information about seismic networks ==

== Information about dense Seismic Arrays ==
The deployment of dense seismic arrays has produced compelling new views. These arrays tend to be short lived, but provide fascinating new views of seismic processes. These arrays are going to become much more commonplace. As one example, Pacific Gas and Electric is going to install seismic sensors on new electrical meters in Northern California.

*[https://www.iris.edu/hq/initiatives/recording-the-full-seismic-wavefield IRIS Large-N Initiative]
*[http://www.nodalseismic.com/videos Videos about long beach array]

== Example of Deep Learning in Seismology ==
Two recent papers from SCEC collaborators using deep learning and seismic waveform data.

Ross, Z. E., Meier, M.-A., Hauksson, E., and T. H. Heaton (2018). Generalized seismic phase detection with deep learning, Bull. Seismol. Soc. Am.,
*[https://arxiv.org/abs/1805.01075 Paper]

Ross, Z. E., Meier, M.-A., and E. Hauksson (2018). P-wave arrival picking and first-motion polarity determination with deep learning, J. Geophys. Res.-Solid Earth,
*[https://arxiv.org/abs/1804.08804 Paper]

== Related Research Papers ==
*[]

== XPrize approach ==
Below is an example of and Xprize type activity for Earthquake Forecasting:
The QuakeFinder group tries to use electromagnetic signals to detect earthquake precursors. As I understand it, the prize was not awarded, but we might learn from this attempt.

*[https://www.topcoder.com/blog/make-a-difference-win-prizes-in-nasas-quest-for-quakes/ Quake Xprize]

== IRIS Data Access Web Services ==
*[https://ds.iris.edu/ds/nodes/dmc/tools/data_channels/#??? Instrument Types]
*[https://service.iris.edu/fdsnws/station/docs/1/builder/ Data Request Builder]

== Scott Callaghan ==
Scott presented a staff tutorial on machine learning
*[]

== Related Entries ==
*[[CME Project]]
*[[MSW]]

← Older revision		Revision as of 20:41, 11 May 2018
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	== Information about seismic networks ==		== Information about seismic networks ==
		+	Summary of IRIS Seismic Data Management especially EarthScope
		+	*[http://hypocenter.usc.edu/research/BigData/IRIS_Earthscope.pdf Paper]
		+	*[http://hypocenter.usc.edu/research/BigData/NorthAmericanSeismicNetworks.pdf Paper]

	== Information about dense Seismic Arrays ==		== Information about dense Seismic Arrays ==

@@ Line 38: / Line 38: @@
 Scott presented a staff tutorial on machine learning
 *[]
 == Related Entries ==
 *[[CME Project]]
 *[[MSW]]

Machine Learning - Revision history

Maechlin at 01:54, 13 October 2020

Maechlin: /* Information about seismic networks */

Maechlin: Created page with "Machine learning technologies are progressing rapidly and we want to apply these new technologies to the earthquake system science problems we are working on. == Information..."