Real-time forecasts of tomorrow's earthquakes in California

被引:243
|
作者
Gerstenberger, MC
Wiemer, S
Jones, LM
Reasenberg, PA
机构
[1] US Geol Survey, Pasadena, CA 91106 USA
[2] ETH, Inst Geophys, CH-8093 Zurich, Switzerland
[3] US Geol Survey, Menlo Pk, CA 94025 USA
关键词
D O I
10.1038/nature03622
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Despite a lack of reliable deterministic earthquake precursors, seismologists have significant predictive information about earthquake activity from an increasingly accurate understanding of the clustering properties of earthquakes(1-4). In the past 15 years, time-dependent earthquake probabilities based on a generic short-term clustering model have been made publicly available in near-real time during major earthquake sequences. These forecasts describe the probability and number of events that are, on average, likely to occur following a mainshock of a given magnitude, but are not tailored to the particular sequence at hand and contain no information about the likely locations of the aftershocks. Our model builds upon the basic principles of this generic forecast model in two ways: it recasts the forecast in terms of the probability of strong ground shaking, and it combines an existing time-independent earthquake occurrence model based on fault data and historical earthquakes(5) with increasingly complex models describing the local time-dependent earthquake clustering(1,2). The result is a time-dependent map showing the probability of strong shaking anywhere in California within the next 24 hours. The seismic hazard modelling approach we describe provides a better understanding of time-dependent earthquake hazard, and increases its usefulness for the public, emergency planners and the media.
引用
收藏
页码:328 / 331
页数:4
相关论文
共 50 条
  • [1] Real-time forecasts of tomorrow's earthquakes in California
    Matthew C. Gerstenberger
    Stefan Wiemer
    Lucile M. Jones
    Paul A. Reasenberg
    [J]. Nature, 2005, 435 : 328 - 331
  • [2] Real-Time Forecasts of the Real Price of Oil
    Baumeister, Christiane
    Kilian, Lutz
    [J]. JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 2012, 30 (02) : 326 - 336
  • [3] An Assessment of the CFS Real-Time Seasonal Forecasts
    Wang, Wanqiu
    Chen, Mingyue
    Kumar, Arun
    [J]. WEATHER AND FORECASTING, 2010, 25 (03) : 950 - 969
  • [4] Real-time energy services: Now... and tomorrow
    McGowan, John J. Jack
    [J]. Strategic Planning for Energy and the Environment, 2002, 22 (01) : 52 - 63
  • [5] DETERMINATION IN REAL-TIME OF THE RELIABILITY OF RADAR RAINFALL FORECASTS
    DENOEUX, T
    EINFALT, T
    JACQUET, G
    [J]. JOURNAL OF HYDROLOGY, 1991, 122 (1-4) : 353 - 371
  • [6] Skill in real-time solar wind shock forecasts
    Mozer, JB
    Briggs, WM
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2003, 108 (A6)
  • [7] REAL-TIME PROBABILITY FORECASTS OF UK MACROECONOMIC EVENTS
    Garratt, Anthony
    Lee, Kevin
    Vahey, Shaun
    [J]. NATIONAL INSTITUTE ECONOMIC REVIEW, 2008, 203 (01) : 78 - 90
  • [8] Real-Time Forecasts of Inflation: The Role of Financial Variables
    Monteforte, Libero
    Moretti, Gianluca
    [J]. JOURNAL OF FORECASTING, 2013, 32 (01) : 51 - 61
  • [10] Near real-time simulations of global CMT earthquakes
    Tromp, Jeroen
    Komatitsch, Dimitri
    Hjoerleifsdottir, Vala
    Liu, Qinya
    Zhu, Hejun
    Peter, Daniel
    Bozdag, Ebru
    McRitchie, Dennis
    Friberg, Paul
    Trabant, Chad
    Hutko, Alex
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2010, 183 (01) : 381 - 389