floatCSEP is a Python application that standardizes and orchestrates the workflow of earthquake forecasting experiments. Based on principles established by the Collaboratory for the Study of Earthquake Predictability (CSEP, https://cseptesting.org), it enables reproducible, transparent, and reusable experiments to evaluate earthquake forecasts. floatCSEP builds on the existing pyCSEP toolkit for core evaluation routines and adds the functionality needed to deploy and conduct entire experiments, including catalog handling, forecast generation, evaluation, visualization, and reporting. Accompanying tutorials illustrate experiment use cases, which users can extend to incorporate new models, alternative evaluation metrics, or different regions and timeframes. Ultimately, the goal of floatCSEP is to support new official CSEP experiments and to encourage independent researchers to validate their own models.
floatCSEP: An application to deploy and conduct reproducible prospective earthquake forecasting experiments / Iturrieta, Pablo; Savran, William H.; Herrmann, Marcus; Bayona, José A.; Gerstenberger, Matthew C.; Graham, Kenny; Maechling, Philip J.; Marzocchi, Warner; Mizrahi, Leila; Schorlemmer, Danijel; Serafini, Francesco; Silva, Fabio; Werner, Maximilian J.. - In: JOURNAL OF OPEN SOURCE SOFTWARE. - ISSN 2475-9066. - 11:118(2026). [10.21105/joss.09408]
floatCSEP: An application to deploy and conduct reproducible prospective earthquake forecasting experiments
Marcus Herrmann;Warner Marzocchi;
2026
Abstract
floatCSEP is a Python application that standardizes and orchestrates the workflow of earthquake forecasting experiments. Based on principles established by the Collaboratory for the Study of Earthquake Predictability (CSEP, https://cseptesting.org), it enables reproducible, transparent, and reusable experiments to evaluate earthquake forecasts. floatCSEP builds on the existing pyCSEP toolkit for core evaluation routines and adds the functionality needed to deploy and conduct entire experiments, including catalog handling, forecast generation, evaluation, visualization, and reporting. Accompanying tutorials illustrate experiment use cases, which users can extend to incorporate new models, alternative evaluation metrics, or different regions and timeframes. Ultimately, the goal of floatCSEP is to support new official CSEP experiments and to encourage independent researchers to validate their own models.| File | Dimensione | Formato | |
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10.21105.joss.09408.pdf
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