Suchergebnisse

Hauptbeschreibung: Das Alles-oder-Nichts-Prinzip im Versicherungsvertragsrecht steht seit mehr als 70 Jahren in der Kritik. Da die Rechtsprechung nur beschränkt Abhilfe schaffen kann, stellt sich die Frage nach einer Gesetzesänderung. Der Autor stellt die bestehende Rechtslage sowie die erhobene Kritik dar und untersucht, inwieweit die Leistungsfreiheit des Versicherers de lege ferenda durch eine mildere Rechtsfolge ersetzt werden kann. Dabei gelangt er zu dem Ergebnis, dass die mit dem Alles-oder-Nichts-Prinzip verbundenen Probleme auf die Inflexibilität der Leistungsfreiheitstatbestände zurüc

The data management plan "describes the data management life cycle for the data to be collected, processed and/or generated by"1 ESiWACE2 in all relevant work packages. It will be updated throughout the project period in time with the periodic project evaluation. With ESiWACE2 focussing on software development and the preparation of the weather and climate communities for exascale computing in terms of services and infrastructural means, only few actual "research data" are created in the project. They can be basically grouped into three categories: (1) model output for development purposes, (2) performance analysis and benchmark data, and (3) educational material. ; ESiWACE2 has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 823988

ESiWACE Poster presented at PASC 2018, 2-4 July 2018, Basel (CH) ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Poster on the ESiWACE project and its demonstrator at the ISC 2018 in Frankfurt. ; The ESiWACE project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Presentation held at the 6th European Seminar on Computing (ESCO), June 3 - 8, 2018, Pilsen, Czech Republic ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

We have evaluated and improved the performance of a 5km-5km coupled ocean-atmosphere ICON set up. The set up makes use of ECHAM physics for the atmosphere component, but abstains from parameterisations for convection and gravity waves. The work was accomplished to enable simulations on bigger node counts, and column-blocking parameter tuning was carried out. Throughput on O(500) nodes suggests a performance of ca. 20 simulated days per day. Although the provided investigations are rather preliminary results than the end of the story on performance investigation for coupled high-resolution ICON simulations, the measured throughput rate is expected to already enable the investigation of selected science cases in the near future. Besides, the technical and modelling achievement lies in the fact that a 5km-5km coupled simulation could successfully be established. Yet, more work is required to enable simulations on even bigger node counts, that is beyond 550 nodes on the supercomputer Mistral ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Summary The current Plan summarises the beneficiaries' strategy and concrete actions related to the protection, dissemination and exploitation of the project results. Horizon 2020 is a Research and Innovation programme aiming at fostering competitiveness and growth and increasing benefits to the European Union economy and citizens. Public investment in projects are to be converted into socio-economic benefits for the society, as clearly indicated in the Horizon 2020 Rules for Participation, with a clear accent to the beneficiaries' obligations to exploit and disseminate the outcomes of the funded activities. The Horizon 2020 work programme 2014-2015 explicitly specifies that project proposals shall include a draft Plan for the Exploitation and Dissemination of Results. This Plan is a strategic document indicating how the partnership establishes the basis for the intellectual property strategy, dissemination and exploitation activities, and summarises the beneficiaries' strategy and concrete actions related to the protection, dissemination and exploitation of the project results. See Article 43 Horizon 2020 Rules for Participation http://ec.europa.eu/research/participants/data/ref/h2020/legal_basis/rules_participation/h2020-rules-participation_en.pdf Other contributing authors Deutsches Klimarechenzentrum GmbH (DKRZ), Joachim Biercamp, Kerstin Fieg, Jakob Luettgau, Nabeeh Jumah, Thomas Ludwig European Centre for Medium-Range Weather Forecasts (ECMWF), Daniel Thiemert, Peter Bauer, Peter Dueben Centre National de la Recherche Scientifique-Institut Pierre Simon Laplace (CNRS-IPSL), Francesca Guglielmo, Sylvie Joussaume Max-Planck-Institut für Meteorologie (MPI-M), Reinhard Budich Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Sophie Valcke Barcelona Supercomputing Center (BSC), Kim Serradell Met Office (Met O), Mick Carter , David Matthews Science and Technology Facilities Council (STFC), Bryan Lawrence The University of Reading (UREAD), Grenville Lister Sveriges ...

Abstract In order to support the strategy of the European Commission towards developing exascale supercomputers based on competitive EU technology the deliverable discusses the requirements a workflow has to fulfil to keep its usability on the next generation hardware. Yet, it is not clear whether we need a completely new concept for workflows or if it may be sufficient to adapt today's concepts to cope with future requirements. We expect that at least some components of workflows as they are in use today will stay more or less similar, e.g. the basic lifecycle of a model run should stay valid in general – even if the problem size will increase and thus impact the details. Starting from this, we report on real life experiences when porting today's software stack needed to run Earth System Models to systems of different sizes by using the software tool SPACK. As a result, all supercomputers tested with our SPACK solution showed good and comprehensible practices in software stack configuration and maintenance. This result is expected to be beneficial not only for the weather and climate community, but also for other application fields that require exascale computing. About this document Work package in charge: WP3 Usability Actual delivery date for this deliverable: 28 February 2018 Dissemination level: PU (for public use) Lead authors: German Climate Computing Center (DKRZ), Kerstin Fieg, Philipp Neumann Other contributing partners: Max Planck Institute for Meteorology (MPI‐M), Sergey Kosukhin Barcelona Supercomputing Center (BSC), Kim Serradell Reviewers: The University Of Reading (UREAD), Grenville Lister German Climate Computing Center (DKRZ), Chiara Bearzotti ; This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

A workshop on the global high‐resolution demonstrators was held in conjunction with the annual meeting of ESiWACE on 11 March 2019. The results for the atmosphere‐only, oceanonly and coupled ocean‐atmosphere demonstrators were presented and discussed. All models that were involved—ICON, IFS, NEMO, EC‐Earth—could technically reach the actual resolutions that were targeted in ESiWACE. Yet, significant performance shortfalls in terms of throughput and memory or energy demands were encountered. Despite the performance shortfalls of the models, discussions on (1) the expected performance gains in the future through advanced model optimisation and the establishment of pre‐exascale and exascale supercomputers as well as (2) the great scientific relevance of global highresolution simulations have significantly impacted the global high‐resolution development process in the weather and climate community and contributed to the evolving roadmap towards global kilometre‐scale ensemble simulations. ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Abstract The ICON framework has been considered for the use in global high-resolution, atmosphere-only weather and climate simulations. Focus was put on two scenarios: • an aqua-planet experiment using ECHAM physics and • a realistic full-world simulation scenario in the context of numerical weather prediction. Both scenarios were investigated at various grid resolutions and compute settings. The experiments—based on the partition compute2 of supercomputer Mistral—suggest that ICON is expected to deliver good scalability for global high-resolution simulations up to 1.2km when filling up to 70-100 horizontal grid cells (depending on the number of vertical grid levels used) per compute core. The main bottlenecks of the "computational workflow" for high-resolution simulations were found in the creation of initial data and external parameters for the large-scale runs, as well as in writing output; the latter is due to processing large amounts of data (200GB per time slice in a 2.5km globally resolved simulation) and is subject to reimplementation and improvement with regard to using asynchronous I/O on distributed memory systems. About this document Work package in charge: WP 2 Scalability Actual delivery date for this deliverable: 1 August 2017 Dissemination level: PU (for public use) Lead author: Deutsches Klimarechenzentrum GmbH (DKRZ): Philipp Neumann Other contributing authors: Deutsches Klimarechenzentrum GmbH (DKRZ): Joachim Biercamp, Irina Fast, European Centre for Medium-Range Weather Forecasts (ECMWF): Peter Bauer, Max-Planck-Institut für Meteorologie (MPI-M): Matthias Brück, Thorsten Mauritsen, Leonidas Linardakis, Deutscher Wetterdienst (DWD): Daniel Klocke ; This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191