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SVSM-test: A Novel High-Accuracy Method for Evaluating Earthquake Forecast Model Performance and Its Implications for Refining Seismic Likelihood Model

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title SVSM-test: A Novel High-Accuracy Method for Evaluating Earthquake Forecast Model Performance and Its Implications for Refining Seismic Likelihood Model
 
Identifier https://doi.org/10.7910/DVN/0D3WCZ
 
Creator wei, congmin
 
Publisher Harvard Dataverse
 
Description We present the declustered catalog of M ≥ 6.0 earthquakes (AD 624-2015) over southeastern Tibetan Plateau, including Sichuan-Yunan region of China and part of Myanmar and Laos and alarm functions of GB18306-2015 model, PMSH-SY model and RELM-TibetSE model. These data can be used to retrospectively test earthquake likelihood models for the southeastern Tibetan Plateau.
 
Subject Earth and Environmental Sciences
 
Date 2024-02-16
 
Contributor wei, congmin