Publications

2022

Bayona, J. A., Savran, W. H., Rhoades, D. A., & Werner, M. J. (2022). Prospective evaluation of multiplicative hybrid earthquake forecasting models in California. Geophysical Journal International, 229(3), 1736-1753, https://doi.org/10.1093/gji/ggac018

Savran, W., Werner, M., Schorlemmer, D., and Maechling, P. (2022). pyCSEP: A Python Toolkit For Earthquake Forecast Developers, Journal of Open Source Software, 7(69), 3658, https://doi.org/10.21105/joss.03658

2021

Mancini, S., M. J. Werner, M. Segou, and B. Baptie (2021). Probabilistic Forecasting of Hydraulic Fracturing‐Induced Seismicity Using an Injection‐Rate Driven ETAS Model, Seismological Research Letters 92 3471-3481. https://doi.org/10.1785/0220200454

2020

Bayona, J. A., W. Savran, A. Strader, S. Hainzl, F. Cotton, and D. Schorlemmer (2020). Two global ensemble seismicity models obtained from the combination of interseismic strain measurements and earthquake-catalogue information, Geophysical Journal International, 224, 1945-1955. https://doi.org/10.1093/gji/ggaa554

Savran, W. H., Werner, M. J., Marzocchi, W., Rhoades, D. A., Jackson, D. D., Milner, K., Field, E., Michael, A. (2020). Pseudoprospective Evaluation of UCERF3-ETAS Forecasts during the 2019 Ridgecrest Sequence. Bulletin of the Seismological Society of America, 110(4), 1799-1817. https://doi:10.1785/0120200026

Mancini, S., Segou, M., Werner, M. J., & Parsons, T. (2020). The Predictive Skills of Elastic Coulomb Rate-and-State Aftershock Forecasts during the 2019 Ridgecrest, California, Earthquake Sequence. Bulletin of the Seismological Society of America, 110(4), 1736-1751. https://doi:10.1785/0120200028

News

pyCSEP v0.6.0 is now available on PyPI and conda-forge. Visit the GitHub page for more information.

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