activity
20052013
most citedEarthquake forecasting and its verification

110 citations · 419 across the 9 of their papers we have counts for

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Showing physics.geo-phShow all

8 papers · 1 filter

physics.geo-ph2013

Earthquake Counting Method for Spatially Localized Probabilities: Challenges in Real-Time Information Delivery

James R Holliday, William R Graves, John B Rundle +1

We develop and implement a new type of global earthquake forecast. Our forecast is a perturbation on a smoothed seismicity (Relative Intensity) spatial forecast combined with a tem…

physics.geo-ph2010★ 1 cited

A damage model based on failure threshold weakening

Joseph D. Gran, John B. Rundle, Donald L. Turcotte +2

A variety of studies have modeled the physics of material deformation and damage as examples of generalized phase transitions, involving either critical phenomena or spinodal nucle…

physics.geo-ph2010

A damage-mechanics model for fracture nucleation and propagation

G. Yakovlev, J. D. Gran, D. L. Turcotte +2

In this paper a composite model for earthquake rupture initiation and propagation is proposed. The model includes aspects of damage mechanics, fiber-bundle models, and slider-block…

physics.geo-ph2006★ 63 cited

Ergodicity in Natural Earthquake Fault Networks

K. F. Tiampo, J. B. Rundle, W. Klein +3

Numerical simulations have shown that certain driven nonlinear systems can be characterized by mean-field statistical properties often associated with ergodic dynamics [C.D. Fergus…

physics.geo-ph2005

A RELM earthquake forecast based on pattern informatics

James R. Holliday, Chien-chih Chen, Kristy F. Tiampo +3

We present a RELM forecast of future earthquakes in California that is primarily based on the pattern informatics (PI) method. This method identifies regions that have systematic f…

physics.geo-ph2005★ 54 cited

Modification of the pattern informatics method for forecasting large earthquake events using complex eigenvectors

James R. Holliday, John B. Rundle, Kristy F. Tiampo +2

Recent studies have shown that real-valued principal component analysis can be applied to earthquake fault systems for forecasting and prediction. In addition, theoretical analysis…