Regional Earthquake Likelihood Models I: First-Order Results

Regional Earthquake Likelihood Models I: First-Order Results
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区域地震似然模型 I:一阶结果

DOI:
10.1785/0120120186
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发表时间:
2013
影响因子:
3
通讯作者:
T. Jordan
T. Jordan
中科院分区:
地球科学3区
文献类型:
--
作者:
J. D. Zechar;D. Schorlemmer;M. Werner;M. Gerstenberger;D. Rhoades;T. Jordan

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摘要区域地震似然模型(RELM)工作组设计了一项为期5年的实验,以预测后续目标地震的数量、空间分布和震级分布,目标地震定义为在明确定义的加州测试区域中震级≥4.95(M 4.95+)的地震。包括在实验规范的数据源的描述,数据处理的方法,并提出了评估指标。RELM实验开始于2006年1月1日,涉及由地震活动性建模者构建的17个时不变预测;到2011年1月1日实验结束时,已经发生了31个目标地震。我们分析的实验结果,通过应用建议的一致性测试的基础上的可能性措施和额外的比较测试的基础上的信息增益的措施。我们发现Helmstetter等人的平滑地震活动性预测。,2007年基于1981年以来的M 2+地震,是最好的预测,无论分析中是否包括余震。RELM实验有助于澄清有关测试的想法,这些测试可以应用于地震可预测性研究合作实验室(CSEP)进行的更广泛的地震预测实验。在线资料:图和表显示了RELM测试区域和收集区域的定义,与RELM实验相关的数值结果,以及Ebel等人的未校正预报。(2007年)。
Abstract The Regional Earthquake Likelihood Models (RELM) working group designed a 5‐year experiment to forecast the number, spatial distribution, and magnitude distribution of subsequent target earthquakes, defined to be those with magnitude ≥4.95 ( M  4.95+) in a well‐defined California testing region. Included in the experiment specification were the description of the data source, the methods for data processing, and the proposed evaluation metrics. The RELM experiment began on 1 January 2006 and involved 17 time‐invariant forecasts constructed by seismicity modelers; by the end of the experiment on 1 January 2011, 31 target earthquakes had occurred. We analyze the experiment outcome by applying the proposed consistency tests based on likelihood measures and additional comparison tests based on a measure of information gain. We find that the smoothed seismicity forecast by Helmstetter et al. , 2007 based on M  2+ earthquakes since 1981, is the best forecast, regardless of whether aftershocks are included in the analysis. The RELM experiment has helped to clarify ideas about testing that can be applied to more wide‐ranging earthquake forecasting experiments conducted by the Collaboratory for the Study of Earthquake Predictability (CSEP). Online Material: Figures and tables showing the RELM testing region and collection region definitions, numerical results associated with the RELM experiment, and the uncorrected forecast by Ebel et al. (2007).
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