EARTHQUAKE PREDICTOR NEURAL NETWORK

(PROJECT ONAMAZU)


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Neural Network Model Information

This is the latest version of the models. An older version was used in 2018.

Dataset:

Source: United States Geological Survey (USGS)
Dates Covered: 1973-01-01 to Present
Temporal Resolution: 1 Day (24 Hours)
Spatial Resolution: 2 Degrees Latitude and 2 Degrees Longitude
Details: Earthquakes were reorganized into tensors, with each slice representing a single day and consisting of a matrix with the rows and columns representing approximate latitudes and longitudes. Each position in the matrix was filled with a magnitude determined by converting all the earthquakes occurring at that approximate location and time from logarithmic scale magnitudes into linear energies, summing them together, and then converting the resulting value back into the logarithmic scale. Some preprocessing is required to convert between different types of magnitude scales as well. This model is designed for the moment magnitudes (Mw).

Model:

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