SEE-GRID-SCI SEE-GRID-SCI SEISMOLOGY VO The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no Wiki Pages:

Vision: converged communication and service infrastructure for SEE The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no

Seismology VO (aims) Seismology VO will offer the researchers:  Seismic Data Repository: Earthquakes, stations and sensor information, seismic waveform files from various countries in Southeastern 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

Seismology VO Platform Country 1 Applications (ELF,FPS,MDSSP-WA,NMMC3D,SDS) Programming tool (SDS data Iterators) Earthquake and seismic waveform data Country 2 Country n... Distributed storage and indexing of data on grid (by SDSAS upload scripts)

Partner Institutes Collaborating OrganizationsCountry Polytechnic University of TiranaAlbania National Academy of Sciences of ArmeniaArmenia Seismological Department, in Geophysical Institute of BASBulgaria Department of Geophysics in Institute of Geography and Earth Sciences of Eötvös Loránd 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 ASMMoldova Seismological Survey of SerbiaSerbia Kandilli Observatory and Earthquake Research Institute / Dept. of Computer Engineering, Boğaziçi University Turkey Middle East Technical University Turkey Earthquake Research Dept. of General Directorate of Disaster Affairs Turkey

VO Infrastructure (core services)

VO usage/access Helpdesk information:  currently N/A  A new Seismo VO Support group will be created in Howto get membership:  accepts applications for membership.  VO-admin can process and accept these applications “where to go if error”:  Currently Bilal Bektas is handling these  groups will be created for this purpose

VO usage/access Howto monitor the infrastructure:  An SDSAS script will be developed for reporting current inventory of seismic datar  Use for monitoring infrastructure Available UI machine:  currently N/A Available developer portal:  currently N/A  Planning to use portal.grid.org.tr Available tools and services:  MyProxy, WMS, RB, BDII, VOMS, AMGA  SDSAS

Applications

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 Yılmazer,

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 earth’s 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 Yılmazer,

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,

NUMERICAL MODELING OF MANTLE CONVECTION – NMMC3D The outer part of the Earth consist of moving, rotating and interacting plates. 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: Bálint Süle,

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 embed alternative (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 Şener,

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 collect and organizing the seismic data by utilizing storage elements, LFC and AMGA. C++ iterators can be used by applications to access station data, earthquake data and information about seismic waveform files. Contact: Can Özturan,

Seismic Data Server (SDS) SDS serves seismic data present in AMGA tables (station data, earthquake data and information about seismic waveform files - not waveform files themselves) through a web interface that utilizes kml and Google Earth API. Contact: Can Özturan,

VO application specific information N/A yet since most applications are under development currently SDSAS usage instructions are available on the see- grid-sci wiki