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    www.see-grid-sci.eu

    SEE-GRID-SCI

    SEE-GRID-SCISEISMOLOGYVO

    The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no. 211338

    Wiki Pages: http://wiki.egee-see.org/index.php/SG_Seismology_VO

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    Vision: converged communication and serviceinfrastructure for SEE

    GRNET

    .gr MTA SZTAKI.hu

    IPP

    .bg ICI

    .ro

    TUBITAK

    .tr

    UPT

    .alUKIM

    .mk

    UoBL

    .ba

    RBI

    .hr

    UOB

    .rs

    RENAM

    .md

    UOM.me

    GRENA

    .ge

    IIAP-NAS-RA

    .am

    SEEFIRE + Geant Support

    SEE-GRID

    Seismology

    VO

    Meteorology

    VOEnvironmental

    VO

    Seismology

    VO

    Meteorology

    VOEnvironmental

    VO

    SEE-SCIe-Infr

    astr

    uctur

    e

    The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no. 211338

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    Seismology VO (aims)

    Seismology VO will offer the researchers: Seismic Data Repository: Earthquakes, stations and sensor

    information, seismic waveform files from various countries inSoutheastern Europe. Seismic Data Server Application Service(SDSAS), A JRA1 development that provides scripts to upload

    seismic data and iterators to access data. Seismology Applications:

    Earthquake Location Finding (ELF)

    Fault Plane Solution (FPS)

    Massive Digital Seismological Signal Processing with the Wavelet Analysis(MDSSP-WA)

    Numerical Modeling of Mantle Convection (NMMC3D)

    Seismic Data Server (SDS)

    Seismic Risk Assesment (SRA)

    The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no. 211338

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    Seismology VO Platform

    Country 1

    Applications

    (ELF,FPS,MDSSP-WA,NMMC3D,SDS)

    Programming tool(SDS data Iterators)

    Earthquake andseismic waveformdata

    Earthquake andseismic waveformdata

    Earthquake andseismic waveformdata

    Country 2 Country n...

    Distributed storageand indexing of data on grid (bySDSAS upload scripts)

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    Partner Institutes

    Collaborating Organizations CountryPolytechnic University of Tirana Albania

    National Academy of Sciences of Armenia Armenia

    Seismological Department, in Geophysical Institute of BAS Bulgaria

    Department of Geophysics in Institute of Geography and EarthSciences of Etvs Lornd University

    Hungary

    Seismological Observatory of Geodetic and Geophysical Research

    Institute of Hungarian Academy of Sciences

    Hungary

    Faculty of Natural Sciences and Mathematics of University of Ss.Cyril and Methodius

    FYR of Macedonia

    Institute of Geology and Seismology of ASM Moldova

    Seismological Survey of Serbia Serbia

    Kandilli Observatory and Earthquake Research Institute / Dept. ofComputer Engineering , BoaziiUniversity

    Turkey

    Middle East Technical University Turkey

    Earthquake Research Dept. of General Directorate of DisasterAffairs

    Turkey

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    VO Infrastructure(core services)

    Service Primary location Backup location

    VOMS voms.ulakbim.gov.tr

    WMS wms.ulakbim.gov.trgrid-wms.ii.edu.mk

    BDII bdii.ulakbim.gov.tr grid-bdii.ii.edu.mk

    LFC lfc.ulakbim.gov.tr grid-lfc.ii.edu.mk

    FTS fts.ulakbim.gov.tr

    AMGA amga.ulakbim.gov.tr

    MyProxy myproxy.ulakbim.gov.tr

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    VO usage/access

    Helpdesk information: currently N/A

    A new Seismo VO Support group will be created inhttps://helpdesk.see-grid.eu/

    Howto get membership: https://voms.ulakbim.gov.tr:8443/voms/seismo.see-grid-sci.eu/

    accepts applications for membership.

    VO-admin can process and accept these applications

    where to go if error: Currently Bilal Bektas (bilal.bektas@gmail.com) is handling these

    Email groups will be created for this purpose

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    VO usage/access

    Howto monitor the infrastructure: An SDSAS script will be developed for reporting current

    inventory of seismic datar

    Use https://c01.grid.etfbl.net/sam.php for monitoringinfrastructure

    Available UI machine: currently N/A

    Available developer portal: currently N/A

    Planning to use portal.grid.org.trAvailable tools and services: MyProxy, WMS, RB, BDII, VOMS, AMGA

    SDSAS

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    Applications

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    Earthquake Location Finding (ELF)

    This application is based on HYPO71 and finds the location of earthquakes by scanning

    seismic waveform data.

    This application is not compute intensive , but it is data intensive. The application can

    be parallelized by scanning data files in parallel by multiple using worker nodes.

    A workflow can be generated automatically by a program corresponding to the time

    intervals in which to look for earthquake

    Contact: Mehmet Ylmazer, mehmety@boun.edu.tr

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    Fault Plane Solution (FPS)

    Computes earthquake source parameters (strike, slip, dip)

    Inputs: Crust model: layer thicknesses, seismic velocities, densities, q-factor

    Actual seismic waveform data (in SAC format)

    Output:

    Fault paramtheters

    Useful for identifying tectonic structures that are not visible on earths surface

    Computationally intensive application

    A typical run that uses data from 50 stations takes 8 hours on a PC

    Implemented in Fortran/C

    Contact: Mehmet Ylmazer, mehmety@boun.edu.tr

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    Massive Digital Seismological Signal Processing with the

    Wavelet Analysis(MDSSP-WA)

    Wavelet theory has matured in past years as new mathematical tool for time series analysis.

    The continuous or discrete wavelet transforms and relevant plotting of the results in coordinate

    system, scales versus time, shows striking similarity of the wavelet images, between different seismic

    records, coming from the same source region or noticeable difference for records of earthquakes

    occurred in different source region.

    We assume that, those similar image patterns are due to same underlying geological setting while the

    differences (usually for smaller scale) is due to different source mechanism and finer geological

    structures.

    In the first approximation of geological structure, similarities of the image patterns in domain of large

    scale are noticeable even for the records from different source regions.

    With massive processing of earthquake records we can define: (i) Common features of the

    propagation path for the given seismic source region or to define empirical transfer function of the

    media (ii) Calculation of the artificial seismograms, (iii) Determine the source region based on a

    single earthquakes record (iv) Determine the more realistic attenuation curve of the selected feature

    (parameter), very much needed in seismic hazard and risk analysis, (v) Mapping (coding) of the given

    earthquake prone region in terms of selected parameters (vi)Seismic source parameters

    Contact: Ljupco Jordanovski, ljordanovski@gmail.com

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    NUMERICAL MODELING OF MANTLECONVECTION NMMC3D

    The outer part of the Earth consist of moving, rotating and interactingplates.

    The motion of these plates suggest a large convective system in the

    Earth's 2900 thick layer, the mantle.

    The numerical calculations suggested that the convective cells are

    formed by sheet-like elongated downwellings (subduction zones) and

    narrow, cylindrical upwellings (mantle plumes, at the hotspots).The main goal of our research is the quantitative study of the structure

    and surface manifestation of mantle plumes and to make systematic

    investigation of the parameters influencing the character of mantle

    convection in 3D.

    Contact: Blint Sle, suba@seismology.hu

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    SEISMIC RISK ASSESMENT (SRA)

    Seismic Risk Assessment is very important for public safety and hazards

    mitigation.

    It is also important for the correct determination of earthquake insurance

    premiums and also for understanding the social and psychological

    effects of earthquakes.

    Our aim is to develop an application framework to allow us to embedalternative (deterministic, probabilistic etc.) models.

    SRA application can be grouped into four main categories:

    (i) Accessing Earthquake Catalogue,

    (ii) Earthquake Source Model

    (iii) Seismic Hazard Models(iv) Producing Seismic Hazard Maps

    Contact: Cevat ener, sener@ceng.metu.edu.tr

    S i i D t S A li ti S i

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    Seismic Data Server Application Service

    (SDSAS)

    SDSAS is a JRA1 service that serves massive seismic data that are archived

    from national seismology centers using a high level interface that is easy to

    use/adapt. It serves official lists of earthquakes, stations , sensor information.

    It keeps the details of where the data files reside are hidden by mapping high

    level user specifications (dates, hours, location etc.) to appropriate pathnames.

    The SDSAS implementation will be done by using scripts to collec