Article : Analysis of Italian Earthquake catalogs in the context of intermediate-term prediction problem
Authors : Nowożyński, K.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, email@example.com, Ślęzak, K.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, firstname.lastname@example.org, Kądziałko-Hofmokl, M.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, email@example.com, Szczepański, J.Institute of Geological Sciences, University of Wrocław, Wrocław, Poland, firstname.lastname@example.org, Werner, T.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, email@example.com, Jeleńska, M.Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, firstname.lastname@example.org, Nejbert, K.Institute of Geochemistry, Mineralogy and Petrology, Warsaw University, Warszawa, Poland, email@example.com, Shireesha, M.National Geophysical Research Institute, Council of Scientific and Industrial Research, Hyderabad, India, firstname.lastname@example.org, Harinarayana, T.National Geophysical Research Institute, Council of Scientific and Industrial Research, Hyderabad, India, email@example.com, Romashkova, L.Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences, Moscow, Russia, firstname.lastname@example.org, Peresan, A.The Abdus Salam International Centre for Theoretical Physics, SAND Group, Trieste, Italy,
Abstract : We perform a comparative analysis of regional and global earthquake catalogs currently available for the territory of Italy. We consider: (a) instrumental seismic catalogs provided by the Istituto Nazionale di Geofisica e Vulcanologia, Roma (INGV) for earthquake forecasting experiment in Italy within the Collaboratory for the Study of Earthquake Predictability (CSEP); (b) Global Hypocenters’ Data provided by the USGS/NEIC, which is currently used in the real-time earthquake prediction experiment by CN and M8S algorithms in Italy, and (c) seismological Bulletin provided by the International Seismological Centre (ISC). We discuss advantages and shortcomings of these catalogs in the context of intermediate-term middle-range earthquake prediction problem in Italy, including the possibility of the catalog’s combined or integrated use. Magnitude errors in the catalog can distort statistics of success-to-failure scoring and eventually falsify testing results. Therefore, the analysis of systematic and random errors in magnitude presented in Appendixes can be of significance in its own right.
Bibliography : Aki, K. (1965), Maximum likelihood estimate of b in the formula log N = a – bM and its confidence limits, Bull. Earthq. Res. Inst. Tokyo Univ. 43, 237-239.
Akinci, A. (2010), HAZGRIDX: earthquake forecasting model for ML ≥ 5.0 earthquakes in Italy based on spatially smoothed seismicity, Ann. Geophys. 53, 3, 51-61, DOI: 10.4401/ag-4811.
Castello, B., M. Olivieri, and G. Selvaggi (2007), Local and duration magnitude determination for the Italian Earthquake Catalog, 1981-2002, Bull. Seismol. Soc. Am. 97, 1B, 128-139, DOI: 10.1785/0120050258.
Chan, C.-H., M.B. Sørensen, D. Stromeyer, G. Grünthal, O. Heidbach, A. Hakimhashemi, and F. Catalli (2010), Forecasting Italian seismicity through a spatio-temporal physical model: importance of considering time-dependency and reliability of the forecast, Ann. Geophys. 53, 3, 129-140, DOI: 10.4401/ag-4761.
Christophersen, A., W. Marzocchi, and S. Wiemer (2009), Summary of analysis of CPTI08 and CSI1.1 catalogs, http://cseptesting.org/sites/default/files/SummaryItalyCatalogsUpdate.pdf.
GHDB (1989), Global Hypocenters Data Base, NEIC/USGS, Denver, USA, and its updates through July 2011 (CD-rom).
Gulia, L., S. Wiemer, and D. Schorlemmer (2010), Asperity-based earthquake likelihood models for Italy, Ann. Geophys. 53, 3, 63-75, DOI: 10.4401/ag-4843.
ISC (2012), International Seismological Centre, Thatcham, United Kingdom, on-line bulletin, http://www.isc.ac.uk.
Keilis-Borok, V.I., and V.G. Kossobokov (1990), Premonitory activation of earthquake flow: algorithm M8, Phys. Earth Planet. Inter. 61, 1-2, 73-83, DOI:10.1016/0031-9201(90)90096-G.
Keilis-Borok, V.I., I.V. Kutznetsov, G.F. Panza, I.M. Rotwain, and G. Costa (1990), On intermediate-term earthquake prediction in Central Italy, Pure Appl. Geophys. 134, 1, 79-92, DOI: 10.1007/BF00878081.
Kossobokov, V.G., L.L. Romashkova, V.I. Keilis-Borok, and J.H. Healy (1999), Testing earthquake prediction algorithms: statistically significant advance prediction of the largest earthquakes in the Circum-Pacific, 1992-1997, Phys. Earth Planet. Inter. 111, 3-4, 187-196, DOI: 10.1016/S0031-9201(98)00159-9.
Lombardi, A.M., and W. Marzocchi (2010), The ETAS model for daily forecasting of Italian seismicity in the CSEP experiment, Ann. Geophys. 53, 3, 155-164, DOI: 10.4401/ag-4848.
Molchan, G.M. (2011), Personal communication.
Molchan, G.M., and V.M. Podgaetskaya (1972), Parameters of global seismicity. In: V.I. Keilis-Borok (ed.), Computational and Statistical Methods of Interpretation of Seismological Data, Computation Seismology, Vol. 6, 44-66 (in Russian).
Molchan, G.M., and L.L. Romashkova (2012), Space-time prediction/forecast problem: difficulties of statistical analysis. In: Book of Abstracts. 33rd General Assembly of ESC, 19-24 August 2012, Moscow, Russia.
Nanjo, K.Z. (2010), Earthquake forecast models for Italy based on the RI algorithm, Ann. Geophys. 53, 3, 117-127, DOI: 10.4401/ag-4810.
Peresan, A., and G.F. Panza (2002), UCI2001: the updated catalog of Italy, ICTP Internal Report, IC/IR/2002/3.
Peresan, A., G.F. Panza, and G. Costa (2000), CN algorithm and long-lasting changes in reported magnitudes: the case of Italy, Geophys. J. Int. 141, 2, 425-437, DOI: 10.1046/j.1365-246x.2000.00108.x.
Peresan, A., I. Rotwain, I. Zaliapin, and G.F. Panza (2002), Stability of intermediate-term earthquake predictions with respect to random errors in magnitude: the case of central Italy, Phys. Earth Planet. Inter. 130, 1-2, 117-127, DOI:10.1016/S0031-9201(01)00311-9.
Peresan, A., V. Kossobokov, L. Romashkova, and G.F. Panza (2005), Intermediateterm middle-range earthquake predictions in Italy: a review, Earth-Sci. Rev. 69, 1-2, 97-132, DOI: 10.1016/j.earscirev.2004.07.005.
Romashkova, L., A. Peresan, and A. Nekrasova (2009), Analysis of earthquake catalogs for CSEP testing region Italy, ICTP Internal Report, IC/IR/2009/006.
Rovida, A., and the CPTI Working Group (2008), Parametric catalog of Italian earthquakes, version 2008 (CPTI08), 1900-2006, http://cseptesting.org/sites/default/files/expl_cpti08_1901-2006.pdf.
Schorlemmer, D., A. Christophersen, A. Rovida, F. Mele, M. Stucchi, and W. Marzocchi (2010a), Setting up an earthquake forecast experiment in Italy, Ann. Geophys. 53, 3, 1-9, DOI: 10.4401/ag-4844.
Schorlemmer, D., F. Mele, and W. Marzocchi (2010b), A completeness analysis of the National Seismic Network of Italy, J. Geophys. Res. 115, B04308, DOI:10.1029/2008JB006097.
Werner, M.J., A. Helmstetter, D.D. Jackson, Y.Y. Kagan, and S. Wiemer (2010a), Adaptively smoothed seismicity earthquake forecasts for Italy, Ann. Geophys. 53, 3, 107-116, DOI: 10.4401/ag-4839.
Werner, M.J., J.D. Zechar, W. Marzocchi, S. Wiemer, and CSEP-Italy Working Group (2010b), Retrospective evaluation of the five-year and ten-year CSEP-Italy earthquake forecasts, Ann. Geophys. 53, 3, 11-30, DOI:10.4401/ag-4840.
Woessner, J., A. Christophersen, J.D. Zechar, and D. Monelli (2010), Building selfconsistent, short-term earthquake probability (STEP) models: improved strategies and calibration procedures, Ann. Geophys. 53, 3, 141-154, DOI:10.4401/ag-4812.
Qute : Nowożyński, K. ,Ślęzak, K. ,Kądziałko-Hofmokl, M. ,Szczepański, J. ,Werner, T. ,Jeleńska, M. ,Nejbert, K. ,Shireesha, M. ,Harinarayana, T. ,Romashkova, L. ,Peresan, A. ,Peresan, A. , Analysis of Italian Earthquake catalogs in the context of intermediate-term prediction problem. Acta Geophysica Vol. 61, no. 3/2013