Forecasting characteristic earthquakes in a minimalist model

Physics – Geophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 10 figures, revtex4. Changed content. Accepted in Nonlinear Processes in Geophysics

Scientific paper

Using error diagrams, we quantify the forecasting of characteristic-earthquake occurrence in a recently introduced minimalist model. Initially we connect the earthquake alarm at a fixed time after the ocurrence of a characteristic event. The evaluation of this strategy leads to a one-dimensional numerical exploration of the loss function. This first strategy is then refined by considering a classification of the seismic cycles of the model according to the presence, or not, of some factors related to the seismicity observed in the cycle. These factors, statistically speaking, enlarge or shorten the length of the cycles. The independent evaluation of the impact of these factors in the forecast process leads to two-dimensional numerical explorations. Finally, and as a third gradual step in the process of refinement, we combine these factors leading to a three-dimensional exploration. The final improvement in the loss function is about 8.5%.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Forecasting characteristic earthquakes in a minimalist model does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Forecasting characteristic earthquakes in a minimalist model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Forecasting characteristic earthquakes in a minimalist model will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-81170

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.