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  • Publication . Article . Conference object . 2014
    Open Access English
    Authors: 
    Keith G. Jeffery; Anne Asserson; Nikos Houssos; Valérie Brasse; Brigitte Jörg;
    Publisher: Elsevier
    Countries: United Kingdom, Norway, Norway
    Project: EC | PAASAGE (317715), EC | ENGAGE (283700), EC | EPOS (262229), EC | PAASAGE (317715), EC | ENGAGE (283700), EC | EPOS (262229)

    OGD (Open Government Data) is provided from government departments for transparency and to stimulate a market in ICT services for industry and citizens. Research datasets from publicly funded research commonly are associated with the open scholarly publications movement. However, the former world commonly is derived from the latter with generalisation and summarisation. There is advantage in a user of OGD being able to ‘drill down’ to the underlying research datasets. OGD encourages cross-domain research because the summarized data from different domains is more easily relatable. Bridging across the two worlds requires rich metadata; CERIF (Common European research Information Format) has proved itself to be ideally suited to this requirement. Utilising the research datasets is data-intensive science, a component of e-Research. Data-intensive science also requires access to an e-infrastructure. Virtualisation of this e-infrastructure optimizes this. publishedVersion

  • English
    Authors: 
    Fernando Monterroso (1; 2); Manuela Bonano (2; 3); Claudio de Luca (2); De Novellis Vincenzo (2); Riccardo Lanari (2); Michelle Manunta (2); Mariarosaria Manzo (2); Giovanni Onorato (2); +3 more
    Country: Italy
    Project: EC | EPOS IP (676564)

    During the last decades, the availability of Synthetic Aperture Radar (SAR) satellite missions, such as the ERS-1/2 and ENVISAT ones operating at C-band who have worked since 1992 to 2011, as well as the X-band COSMOSkyMed and TerraSAR-X constellations, up to the brand new Sentinel-1 mission, have strongly contributed to SAR data diffusion and popularity in the generation of different studies at different scales and in different research fields. One of the most popular SAR technique is the one referred to as Differential SAR Interferometry (DInSAR), which allows measuring with centimeter accuracy the Earth's surface deformation entity related to both natural and man-made hazards. Nowadays, with the increasing of SAR data availability provided by Sentinel-1 constellation of Copernicus European Program, which is composed by two twin satellites operating in C-band since 2014 and 2016, with a repeat pass of 6 days and with a global (i.e. worldwide) data acquisition policy, the SAR EO scenario is becoming more and more operational, thus mainly providing support for natural hazards monitoring. This allows, in theory, and disposing of sufficient computing power, the EO community to monitor, for instance, the deformation of every volcano or to obtain co-seismic displacement maps in a short time frame and anywhere in the world. Accordingly, in this work, we present a fully automatic and fast processing service for the generation of co-seismic displacement maps by using Sentinel-1 data. The implemented system is completely unsupervised and is triggered by the all significant (i.e. larger than a defined magnitude) seismic event registered by the online catalog as those provided by the United States Geological Survey (USGS) and the National Institute of Geophysics and Volcanology of Italy (INGV). The service has been specifically designed to operate for Civil Protection purposes. The generated DInSAR measurements are made available to the geoscience community through the EPOS Research Infrastructure and they will contribute to the creation of a global database of co-seismic displacement maps. Finally, it is worth noting that the developed system relies on widely common IT methods and protocols and is not specifically tied to a defined computing architecture, thus implying its portability, in view also of the European Commission Data and Information Access Services (DIAS) where satellite data (mainly Sentinel) and processing facilities are co-located to reduce the data transfer time during their processing.

  • English
    Authors: 
    DeFelipe, Irene; Alcalde, Juan; Fernandez-Turiel, J. L.; Diaz, J.; Geyer, Adelina; Molina Fernández, Cecilia; Bernal, Isabel; Fernández, José; Carbonell, Ramón;
    Country: Spain
    Project: EC | EPOS IP (676564)

    The European Plate Observation System (EPOS, https://www.epos-ip.org/) is an e-infrastructure aimed at facilitating and promoting the integrated use of data, data products, services and facilities from internationally distributed research infrastructures for Solid Earth Science in Europe. This e-infrastructure is greatly committed to tackle viable solutions for Solid Earth challenges. It is a long-term plan that integrates research infrastructures of different EU countries into a single inter-operable platform. Data, data products, software and services are facilitated through a variety of different thematic core services (e.g., Seismology, Satellite data, Volcano Observations, Multi-Scale Laboratories, etc.). The Spanish EPOS node, coordinated by CSIC, provides data, data products, software and services to EPOS with the help of the repository DIGITAL.CSIC. In particular, geochemical data, satellite observations, control source seismic data as well as access to other data services. The CSIC has adopted the open data mandate and supports that data archives follow the FAIR principles of data management: Findable, Accessible, Interoperable and Reusable. Data are broadly accessible to reuse for other researchers, industry, teaching, training and for the general public. Following these principles, the Institute of Earth Sciences Jaume Almera is updating and enlarging its database (https://digital.csic.es/handle/10261/101879). The repository includes geophysical data acquired in the Iberian Peninsula since the 90’s, both on and offshore. This dataset comprises deep seismic studies of the structure of the crust and uppermost mantle in different geological settings, obtained through projects funded by public calls as well as data resulting from industry funded research projects. This dataset contains, for example, data addressing the characterization of the shallow subsurface for the development of CO2 and radioactive waste geologic storage sites, and data to assess geologic hazards in the neighborhood of faults. The latter aimed to characterize the seismogenic behavior of active faults in strike-slip tectonic contexts. The repository provides access to data that are relevant to assess sustainable and secure exploration and exploitation of the subsurface, a key societal challenge. This work is a contribution of Project EPOS Implementation Phase (EPOS IP), funded by the European Commission (Grant Agreement no: 676564-EPOS IP, Call H2020-INFRADEV-2014-2015/H2020-INFRADEV-1-2015-1). Resumen del trabajo presentado en el 19th International Symposium on Deep Seismic Profiling of the Continents and their Margins (SEISMIX 2020), celebrado del 15 al 19 de marzo de 2020 en Australia Peer reviewed

  • English
    Authors: 
    F. Casu1; M. Bonano1; 2; R. Castaldo1; C. De Luca1; V. De Novellis1; R. Lanari1; M. Manunta1; M. Manzo1; G. Onorato1; +5 more
    Country: Italy
    Project: EC | EPOS IP (676564)

    We present an unsupervised and automatic system for volcano deformation monitoring via the Copernicus Sentinel-1 data. The system relies on the Parallel Small BAseline Subset (P-SBAS) approach, permitting us to generate updated displacement time series at every new Sentinel-1 acquisition over a selected area of interest in a fast and accurate way. The service is currently operative to monitor the main active Italian volcanoes in the framework of cooperation with the Italian Department of Civil Protection. The system is potentially extendable to every area on the Earth, thus making it suitable for surface displacement monitoring of a large variety of phenomena. Finally, the obtained results are made available to the scientific community through the EPOS Research Infrastructure.

  • English
    Authors: 
    Francesco Casu; Ivana Zinno; Claudio De Luca; Michele Manunta; Riccardo Lanari;
    Publisher: Copernicus GmbH, Katlenburg-Lindau , Germania
    Country: Italy
    Project: EC | EPOS (262229)
  • Publication . Conference object . 2016
    English
    Authors: 
    Déprez, Aline; Socquet, Anne; Cotte, Nathalie; Walpersdorf, Andrea; Bato, M.G.;
    Publisher: HAL CCSD
    Country: France
    Project: EC | EPOS (262229)

    International audience; In the framework of the implementation phase of the European Plate Observing System (EPOS) project, a pan-European processing center is hosted in Université Grenoble Alpes – CNRS, France. The prototype solution spans the 2005-2015 period, and includes more than 500 European cGPS stations. RInEx data and metadata from RING, NOA and Rénag cGPS networks were downloaded from archive centres (GSAC) maintained in France (CNRS-OCA), Greece (NOA) and Italy (INGV). RINEX data from the European Permanent Network (EPN) were downloaded from the EPN ftp server. Data were processed in double difference with the GAMIT/GLOBK software. The network is first split into daily sub-networks (between 8 and 14 sub-networks) using NETSEL tool included in the GAMIT/GLOBK package. The sub-networks consist in about 40 stations, with 2 overlapping stations. For each day and for each sub-network, the GAMIT processing is conducted independently on the high performance computing platform CIMENT hosted at the University of Grenoble Alpes (UGA). A quality check on GAMIT post-fit RMS allows then to identify potential errors, correct them and launch again the processing. Once each sub-network achieves satisfactory results, a daily combination is performed in order to produce SINEX files. The Chi square value associated with the combination allows us to evaluate its quality. This quality check pointed out some necessary sub-networks reorganisation concerning only a few days. Eventually, a multi year combination generates position time series for each station. Each time series is visualized and the jumps associated with material change (antenna or receiver) are estimated and corrected. This procedure allows us to generate daily solutions, position time series and velocity field to be distributed as Level-1 or level-2 EPOS-GNSS products.; Dans le cadre de la phase de mise en œuvre du projet EPOS (European Plate Observing System), un centre de traitement paneuropéen est hébergé à l'Université Grenoble Alpes - CNRS, France. La solution prototype couvre la période 2005-2015 et comprend plus de 500 stations cGPS européennes. Les données et métadonnées RInEx des réseaux RING, NOA et Rénag cGPS ont été téléchargées depuis les centres d'archives (GSAC) maintenus en France (CNRS-OCA), Grèce (NOA) et Italie (INGV). Les données RINEX du Réseau permanent européen (EPN) ont été téléchargées depuis le serveur ftp de l'EPN. Les données ont été traitées en double différence avec le logiciel GAMIT/GLOBK. Le réseau est d'abord divisé en sous-réseaux quotidiens (entre 8 et 14 sous-réseaux) à l'aide de l'outil NETSEL inclus dans le package GAMIT/GLOBK. Les sous-réseaux se composent d'une quarantaine de stations, dont deux se chevauchent. Pour chaque jour et pour chaque sous-réseau, le traitement GAMIT est réalisé indépendamment sur la plate-forme de calcul haute performance CIMENT hébergée à l'Université de Grenoble Alpes (UGA). Un contrôle de qualité sur GAMIT post-fit RMS permet alors d'identifier les erreurs potentielles, de les corriger et de relancer le traitement. Une fois que chaque sous-réseau obtient des résultats satisfaisants, une combinaison quotidienne est effectuée afin de produire des fichiers SINEX. La valeur du chi carré associée à la combinaison nous permet d'évaluer sa qualité. Ce contrôle de qualité a mis en évidence quelques réorganisations de sous-réseaux nécessaires pour quelques jours seulement. Finalement, une combinaison pluriannuelle génère des séries chronologiques de positions pour chaque station. Chaque série temporelle est visualisée et les sauts associés au changement de matériau (antenne ou récepteur) sont estimés et corrigés. Cette procédure nous permet de générer des solutions quotidiennes, des séries chronologiques de position et des champs de vitesse qui seront distribués sous forme de produits EPOS-GNSS de niveau 1 ou 2.

  • English
    Authors: 
    Déprez, Aline; Socquet, Anne; Cotte, Nathalie; Walpersdorf, Andrea;
    Publisher: HAL CCSD
    Country: France
    Project: EC | EPOS (262229)

    International audience; In the framework of EPOS (EPOS - European Plate Observing System) project implementation phase, an analysis center is hosted in France at Université Grenoble Alpes – CNRS.Within the work package WP10, GNSS data and product, UGA-CNRS is responsible for providing products (position time series and velocity field) generated by a processing using double difference method (via GAMIT/GLOBK software). For this purpose, we developed strategies to take up the up-scaling challenge and generate from a big data set the usual GNSS products. For computational efficiency, the massive data set was split into sub-networks and the GAMIT software launched for each sub-network independently, following the same approach than the one presented in the framework of the PBO project.The informatics resources at our disposal are composed of a management tool for batch processing on computing environments (CiGri) and an open source data management software (IRODS), installed on the high performance computer available at UGA (CIMENT). Concerning the velocity field computation, we used MIDAS software. A few different tests were performed in order to check the reliability of our solution and to determine the best way to proceed.We also take advantage of the human and computational resources available in order to include in our solution some no-EPOS stations and generate:- An exhaustive solution in France, including stations from Rénag, RGP and Orpheon. Such dense solution was never performed before using DD method. - A solution in Greece including data from the SMARTNET network.Our solution includes more than 1500 stations constituting a widespread pan-European network, over an 18-years time span [2000-2017].; Dans le cadre de la phase de mise en œuvre du projet EPOS (EPOS - European Plate Observing System), un centre d'analyse est hébergé en France à l'Université Grenoble Alpes - CNRS.Dans le cadre du work package WP10, données GNSS et produit, UGA-CNRS est responsable de la fourniture des produits (séries temporelles de position et champ de vitesse) générés par un traitement utilisant la méthode des doubles différences (via le logiciel GAMIT/GLOBK). Pour ce faire, nous avons développé des stratégies pour relever le défi de la mise à l'échelle et générer à partir d'un grand ensemble de données les produits GNSS habituels. Par souci d'efficacité informatique, l'énorme ensemble de données a été divisé en sous-réseaux et le logiciel GAMIT a été lancé indépendamment pour chaque sous-réseau, suivant la même approche que celle présentée dans le cadre du projet PBO.Les moyens informatiques à notre disposition sont composés d'un outil de gestion des traitements batch sur environnements informatiques (CiGri) et d'un logiciel de gestion de données open source (IRODS), installés sur l'ordinateur haute performance disponible chez UGA (CIMENT). En ce qui concerne le calcul du champ de vitesse, nous avons utilisé le logiciel MIDAS. Quelques tests différents ont été effectués afin de vérifier la fiabilité de notre solution et de déterminer la meilleure façon de procéder.Nous profitons également des ressources humaines et informatiques disponibles afin d'inclure dans notre solution des stations sans EPOS et de générer :- Une solution exhaustive en France, incluant les stations de Rénag, RGP et Orphéon. Une telle solution dense n'a jamais été réalisée avant l'utilisation de la méthode DD. - Une solution en Grèce incluant les données du réseau SMARTNET.Notre solution comprend plus de 1500 stations constituant un réseau paneuropéen étendu, sur une période de 18 ans (2000-2017).

  • English
    Authors: 
    Casu, Francesco1; Bonano, Manuela1,2; Buonanno, Sabatino1; De Luca, Claudio1; Lanari, Riccardo1; Manunta, Michele1; Manzo, Mariarosaria1; Onorato, Giovanni1; Zinno, Ivana1;
    Country: Italy
    Project: EC | EPOS IP (676564)
  • Open Access English
    Authors: 
    Di Stefano, Raffaele; Chiaraluce, Lauro; Valoroso, Luisa; Waldhauser, Felix; Latorre, Diana; , Piccinini; Tinti, Elisa;
    Publisher: Zenodo
    Project: EC | EPOS (262229), EC | EPOS (262229)

    The Alto Tiberina Near Fault Observatory (TABOO) in the upper Tiber Valley (northern Appennines) is a INGV research infrastructure in the framework of the EPOS Project, devoted to the study of preparatory processes and deformation characteristics of the Alto Tiberina Fault (ATF), a 60 km long, low-angle normal fault active since the Quaternary. The TABOO seismic network, covering an area of 120 × 120 km, consists of 60 permanent surface and 250 m deep borehole stations equipped with 3-components, 0.5s to 120s velocimeters, and strong motion sensors. Continuous seismic recordings are transmitted in real-time to the INGV, where we set up an automatic procedure that produces high-resolution earthquakes catalogues (location, magnitudes, 1st motion polarities) in near-real-time. A sensitive event detection engine running on the continuous data stream is followed by advanced phase identification, arrival-time picking, and quality assessment algorithms (MPX). Pick weights are determined from a statistical analysis of a set of predictors designed to correctly apply an a-priori chosen weighting scheme. The MPX results are used to routinely update earthquakes catalogues based on a variety of (1D and 3D) velocity models and location techniques. We are also applying the DD-RT procedure which uses cross-correlation and double-difference methods in real-time to relocate events with high precision relative to a high-resolution background catalog. P- and S-onset and location information are used to automatically compute focal mechanisms, VP/VSvariations in space and time, and periodically update 3D VP and VP/VS tomographic models. We present results from four years of operation, during which this monitoring system analyzed over 1.2 million detections and recovered ~60,000 earthquakes at a detection threshold of ML 0.5. The high-resolution information is being used to study changes in seismicity patterns and fault and rock properties along the ATF in space and time, and to elaborate ground shaking scenarios adopting diverse slip distributions and rupture directivity models. Direct link to the AGU 2014 Fall Meeting Abstract Repository: https://agu.confex.com/agu/fm14/meetingapp.cgi/Paper/12333

  • English
    Authors: 
    Michele Manunta; Francesco Casu; Ivana Zinno; Pietro Tizzani; Raffaele Castaldo; Tim Wright; Michel Diament; Emilie Ostanciaux; Mioara Mandea; Jose Fernandez; +6 more
    Country: Italy
    Project: EC | EPOS (262229)
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