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EPOS – the European Plate Observing System – is the ESFRI infrastructure serving the need of the solid Earth science community at large. The EPOS mission is to create a single sustainable, and distributed infrastructure that integrates the diverse European Research Infrastructures for solid Earth science under a common framework. Thematic Core Services (TCS) and Integrated Core Services (Central Hub, ICS-C and Distributed, ICS-D) are key elements, together with NRIs (National Research Infrastructures), in the EPOS architecture. Following the preparatory phase, EPOS has initiated formal steps to adopt an ERIC legal framework (European Research Infrastructure Consortium). The statutory seat of EPOS will be in Rome, Italy, while the ICS-C will be jointly operated by France, UK and Denmark. The TCS planned so far cover: seismology, near-fault observatories, GNSS data and products, volcano observations, satellite data, geomagnetic observations, anthropogenic hazards, geological information modelling, multiscale laboratories and geo-energy test beds for low carbon energy. In the ERIC process, EPOS and all its services must achieve sustainability from a legal, governance, financial, and technical point of view, as well as full harmonization with national infrastructure roadmaps. As EPOS is a distributed infrastructure, the TCSs have to be linked to the future EPOS ERIC from legal and governance perspectives. For this purpose the TCSs have started to organize themselves as consortia and negotiate agreements to define the roles of the different actors in the consortium as well as their commitment to contribute to the EPOS activities. The link to the EPOS ERIC shall be made by service agreements of dedicated Service Providers. A common EPOS data policy has also been developed, based on the general principles of Open Access and paying careful attention to licensing issues, quality control, and intellectual property rights, which shall apply to the data, data products, software and services (DDSS) accessible through EPOS. From a financial standpoint, EPOS elaborated common guidelines for all institutions providing services, and selected a costing model and funding approach which foresees a mixed support of the services via national contributions and ERIC membership fees. In the EPOS multi-disciplinary environment, harmonization and integration are required at different levels and with a variety of different stakeholders; to this purpose, a Service Coordination Board (SCB) and technical Harmonization Groups (HGs) were established to develop the EPOS metadata standards with the EPOS Integrated Central Services, and to harmonize data and product standards with other projects at European and international level, including e.g. ENVRI+, EUDAT and EarthCube (US). Geophysical Research Abstracts, 19 ISSN:1607-7962 ISSN:1029-7006

The immense advances in computer power achieved in the last decades have had a significant impact in Earth science, providing valuable research outputs that allow the simulation of complex natural processes and systems, and generating improved forecasts. The development and implementation of innovative geoscientific software is currently evolving towards a sustainable and efficient development by integrating models of different aspects of the Earth system. This will set the foundation for a future digital twin of the Earth. The codification and update of this software require great effort from research groups and therefore, it needs to be preserved for its reuse by future generations of geoscientists. Here, we report on Geo-Soft-CoRe, a Geoscientific Software & Code Repository, hosted at the archive DIGITAL.CSIC. This is an open source, multidisciplinary and multiscale collection of software and code developed to analyze different aspects of the Earth system, encompassing tools to: 1) analyze climate variability; 2) assess hazards, and 3) characterize the structure and dynamics of the solid Earth. Due to the broad range of applications of these software packages, this collection is useful not only for basic research in Earth science, but also for applied research and educational purposes, reducing the gap between the geosciences and the society. By providing each software and code with a permanent identifier (DOI), we ensure its self-sustainability and accomplish the FAIR (Findable, Accessible, Interoperable and Reusable) principles. Therefore, we aim for a more transparent science, transferring knowledge in an easier way to the geoscience community, and encouraging an integrated use of computational infrastructure.

Decades of photogrammetric records at Bezymianny, one of the most active volcanoes on Earth, allow unveiling morphological changes, eruption and intrusion dynamics, erosion, lava and tephra deposition processes. This data publication releases an almost 7-decade long record, retrieved from airborne, satellite, and UAV platforms. The Kamchatkan Institute of Volcanology and Seismology released archives of high-resolution aerial images acquired in 1967-2013. We complemented the aerial datasets with 2017 Pleiades tri-stereo satellite and UAV images. The images were processed using Erdas Imagine and Photomod software. Here we publish nine quality-controlled point clouds in LAS format referenced to the WGS84 (UTM zone 57N). By comparing the point clouds we were able to describe topographic changes and calculate volumetric differences, details of which were further analyzed in Shevchenko et al. (2020, https://doi.org/...). The ~5-decade-long photogrammetric record was achieved by 8 aerial and 1 satellite-UAV datasets. The 8 sets of near nadir aerial photographs acquired in 1967, 1968, 1976, 1977, 1982, 1994, 2006, and 2013 were taken with various photogrammetry cameras dedicated for topographic analysis, specifically the AFA 41-10 camera (1967, 1968, 1976, and 1977; focal length = 99.086 mm), the TAFA 10 camera (1982 and 1994; focal length = 99.120 mm), and the AFA TE-140 camera (2006 and 2013; focal length = 139.536 mm). These analog cameras have all an 18×18 cm frame size. The acquisition flight altitude above the mean surface of Bezymianny varied from 1,500-2,500 m above mean surface elevation, translating up to >5,000 m above sea level. For photogrammetric processing, we used 3-4 consecutive shots that provided a 60-70% forward overlap. The analog photo negatives were digitized by scanning with Epson Perfection V750 Pro scanner in a resolution of 2,400 pixels/inch (approx. pixel (px) size = 0.01 mm). The mean scale within a single photograph depends on the distance to the surface and corresponds on average to 1:10,000-1:20,000. Thus, each px in the scanned image represents about 10-20 cm resolution on the ground. The coordinates of 12 ground control points were derived from a Theo 010B theodolite dataset collected at geodetic benchmarks during a 1977 fieldwork. These benchmarks were established on the slopes of Bezymianny before the 1977 aerial survey and then captured with the AFA 41-10 aerial camera. The most recent was a satellite dataset acquired on 2017-09-09 by the PHR 1B sensor aboard the Pleiades satellite (AIRBUS Defence & Space) operated by the French space agency (CNES). The forward, nadir and backward camera configuration allows revisiting any point on earth and was tasked for the acquisition of Bezymianny to provide a 0.5 m resolution panchromatic imagery dataset. In order to improve the Pleiades data, we complemented them with UAV data collected on 2017-07-29 with DJI Mavic Pro during fieldwork at Bezymianny. This data publication includes a description of the data (in pdf format) and the nine processed and controlled three-dimensional point clouds (in LAS format). The point clouds can be easily interpolated and imported into most open and commercially available geographic information system (GIS) software. Further details on data and data handling are provided in Shevchenko et al. (2020).

AbstractWe investigate the ground deformation and source geometry of the 2016 Amatrice earthquake (Central Italy) by exploiting ALOS2 and Sentinel‐1 coseismic differential interferometric synthetic aperture radar (DInSAR) measurements. They reveal two NNW‐SSE striking surface deformation lobes, which could be the effect of two distinct faults or the rupture propagation of a single fault. We examine both cases through a single and a double dislocation planar source. Subsequently, we extend our analysis by applying a 3‐D finite elements approach jointly exploiting DInSAR measurements and an independent, structurally constrained, 3‐D fault model. This model is based on a double fault system including the two northern Gorzano and Redentore‐Vettoretto faults (NGF and RVF) which merge into a single WSW dipping fault surface at the hypocentral depth (8 km). The retrieved best fit coseismic surface deformation pattern well supports the exploited structural model. The maximum displacements occur at 5–7 km depth, reaching 90 cm on the RVF footwall and 80 cm on the NGF hanging wall. The von Mises stress field confirms the retrieved seismogenic scenario.

This archive contains a set of mappings in X3ML format between a number of metadata record schemes and CERIF RDF (based on CERIF 1.6). These mapping files were created during the EU Horizon 2020 VRE4EIC project as part of the development of a joint catalogue for resources hosted by various European research infrastructures serving the environmental and earth sciences. The following source metadata schemes are supported: Dublin Core DCAT-AP EPOS DCAT-AP (extension of DCAT-AP used within the EPOS research infrastructure) ISO 19139 OIL-E (Open Information Linking for Environmental research infrastructures) The scheme used by EUDAT's B2FIND service (based on CKAN) The scheme used within the D4Science platform (based on CKAN) In addition, test mappings have been developed for the transformation of RBAC data, WADL specifications, and WSDL (both 1.1 and 2.0), transformation of CERIF and VRE4EIC classification schemes into CERIF RDF, and generation of additional provenance data for data originating from EPOS or the ENVRI environmental research infrastructure cluster. To make use of these mappings, it is necessary to have a means of interpreting X3ML documents. See: https://github.com/isl/x3ml To directly view and edit these mappings, as well as to test them, it is best to use the 3M editor (which interprets X3ML). See: https://github.com/isl/Mapping-Memory-Manager 3M can be set up and run as an online service in Apache Tomcat (version 8 or higher). These mappings are provided to interested parties who wish to replicate or build upon the metadata mapping activity of the VRE4EIC project, or wish to import metadata records from external sources into a single RDF triple store structured according to the CERIF 1.6 standard. They represent the best state of mappings as of the end of the VRE4EIC project, in October 2018, but are provided as-is, with no assertion of completeness, soundness or fitness-for-purpose out of the box. For queries regarding the mappings in this archive, or for information about the VRE4EIC project in general, email vre4eic-contact at ercim dot eu.

This report concerns Deliverable D1.1 EPOS IP Management Plan. The report describes the whole EPOS implementation phase consisting of the legal establishment of the EPOS-ERIC and of the TCS- ICS service implementation through the EPOS IP project. In particular, the report focuses on the description of the EPOS IP project concept and organization and on the management structure foreseen in the Grant Agreement and discussed with the EPOS IP partnership during the kick-off meeting. Indeed, this report describes the structure and the procedures adopted to guarantee the effective management of the EPOS IP project, the risks assessment and the strategies adopted to deal with ethics issues. The EPOS IP Management Plan is one of the three key documents describing the project organization and planning. The other two are the EPOS IP Communication Plan (D2.1 released at M6) and the TCS-ICS Implementation Plan (various deliverables released from M12).

We investigate the ground deformation and source geometry of the 2016 Amatrice earthquake (Central Italy) by exploiting ALOS2 and Sentinel-1 coseismic differential interferometric synthetic aperture radar (DInSAR) measurements. They reveal two NNW-SSE striking surface deformation lobes, which could be the effect of two distinct faults or the rupture propagation of a single fault. We examine both cases through a single and a double dislocation planar source. Subsequently, we extend our analysis by applying a 3-D finite elements approach jointly exploiting DInSAR measurements and an independent, structurally constrained, 3-D fault model. This model is based on a double fault system including the two northern Gorzano and Redentore-Vettoretto faults (NGF and RVF) which merge into a single WSW dipping fault surface at the hypocentral depth (8 km). The retrieved best fit coseismic surface deformation pattern well supports the exploited structural model. The maximum displacements occur at 5–7 km depth, reaching 90 cm on the RVF footwall and 80 cm on the NGF hanging wall. The von Mises stress field confirms the retrieved seismogenic scenario.

A cycle of four webinars on Open Science and Open Access for earth and environmental sciences, with discipline-specific tools and practical resources. Course outline: Module 1: - Introduction and motivations - Open Science in Solid Earth Science Module 2: - Research Data Management - OS in solid Earth sciences: the EPOS research infrastructure experience Module 3: - FAIR principles and Open Data - Implementing FAIR. Considerations from the solid Earth domain Module 4: - The Data Management Plan - The adoption of Open Science Paradigm at INGV - Practical Tips Scientific committee: Maria Silvia Giamberini, IGG/CNR Gina Pavone, ISTI/CNR