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Adjoint methods are a key ingredient of gradient-based full-waveform inversion schemes. While being conceptually elegant, they face the challenge of massive memory requirements caused by the opposite time directions of forward and adjoint simulations and the necessity to access both wavefields simultaneously for the computation of the sensitivity kernel. To overcome this bottleneck, we have developed lossy compression techniques that significantly reduce the memory requirements with only a small computational overhead. Our approach is tailored to adjoint methods and uses the fact that the computation of a sufficiently accurate sensitivity kernel does not require the fully resolved forward wavefield. The collection of methods comprises reinterpolation with a coarse temporal grid as well as adaptively chosen polynomial degree and floating-point precision to represent spatial snapshots of the forward wavefield on hierarchical grids. Furthermore, the first arrivals of adjoint waves are used to identify "shadow zones" that do not contribute to the sensitivity kernel. Numerical experiments show the high potential of this approach achieving an effective compression factor of three orders of magnitude with only a minor reduction in the rate of convergence. Moreover, it is computationally cheap and straightforward to integrate in finite-element wave propagation codes with possible extensions to finite-difference methods. ; The authors would like to thank Editor John Etgen, Associate Editor Anatoly Baumstein and three anonymous reviewers for their valuable comments and excellent suggestions to improve the paper. We gratefully acknowledge support by the Swiss National Supercomputing Centre (CSCS) in the form of CHRONOS project ch1 and PASC project GeoScale. The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E Project (www.hpc4e.eu), grant agreement n. 689772. Furthermore, the first author acknowledges funding from Shell within the project \Boosting full-waveform inversion". ; Peer Reviewed ; Postprint (author's final draft)

Adjoint methods are a key ingredient of gradient-based full-waveform inversion schemes. While being conceptually elegant, they face the challenge of massive memory requirements caused by the opposite time directions of forward and adjoint simulations and the necessity to access both wavefields simultaneously for the computation of the sensitivity kernel. To overcome this bottleneck, we have developed lossy compression techniques that significantly reduce the memory requirements with only a small computational overhead. Our approach is tailored to adjoint methods and uses the fact that the computation of a sufficiently accurate sensitivity kernel does not require the fully resolved forward wavefield. The collection of methods comprises reinterpolation with a coarse temporal grid as well as adaptively chosen polynomial degree and floating-point precision to represent spatial snapshots of the forward wavefield on hierarchical grids. Furthermore, the first arrivals of adjoint waves are used to identify "shadow zones" that do not contribute to the sensitivity kernel. Numerical experiments show the high potential of this approach achieving an effective compression factor of three orders of magnitude with only a minor reduction in the rate of convergence. Moreover, it is computationally cheap and straightforward to integrate in finite-element wave propagation codes with possible extensions to finite-difference methods. ; The authors would like to thank Editor John Etgen, Associate Editor Anatoly Baumstein and three anonymous reviewers for their valuable comments and excellent suggestions to improve the paper. We gratefully acknowledge support by the Swiss National Supercomputing Centre (CSCS) in the form of CHRONOS project ch1 and PASC project GeoScale. The research leading to these results has received funding from the European Union's Horizon 2020 Programme (2014-2020) and from Brazilian Ministry of Science, Technology and Innovation through Rede Nacional de Pesquisa (RNP) under the HPC4E Project (www.hpc4e.eu), grant agreement n. 689772. Furthermore, the first author acknowledges funding from Shell within the project \Boosting full-waveform inversion". ; Peer Reviewed ; Postprint (author's final draft)

The abandonment of traditional pastoralism as well as the use of heath areas for military purposes has had a major impact on dry heaths in the Continental biogeographical region of Europe, causing severe degradation of its key species Calluna vulgaris (L.) HULL. The reproductive potential of this species in a Continental climate is assumed to be low, although there is yet no observational or experimental evidence for this. More knowledge is also needed about cost‐effective and sustainable measures to restore abandoned dry heaths in this biogeographical region, because traditional management options are often too expensive (e.g., sod‐cutting) or restricted due to environmental laws and the danger of unexploded ammunition (e.g., burning). Using as an example an 800 ha Continental heathland in Germany that has been abandoned for about two decades, we studied the reproductive potential (seed production, soil seed bank, and germination ability) of degenerate C. vulgaris stands. In addition, we conducted a comprehensive field experiment to test the effects of low‐intensity, year‐round grazing by Heck cattle and Konik horses as well as one‐time mowing and patchy exposure of bare soil on the generative rejuvenation (i.e., recruitment and survival) of degenerate C. vulgaris stands over 3 years. We used generalized linear mixed models for statistical analyses. Seed production of degenerate C. vulgaris stands was high as well as the germination ability of their seeds, being similar to Atlantic heathlands. However, soil seed‐bank densities were lower than those found in managed or abandoned Atlantic heaths. Overall seedling recruitment in the field was considerably lower in comparison with Atlantic heaths. Low‐intensity grazing or one‐time mowing did not induce a substantial increase in C. vulgaris recruitment, whereas an additional one‐time creation of bare soil patches or the one‐time creation of bare soil without subsequent management significantly facilitated seedling recruitment and survival in the first year. However, ...

Einleitung: Angestoßen durch die Änderung der Approbationsordnung haben die berufspraktischen Kompetenzen in Deutschland eine höhere Priorität erhalten und werden in den medizinischen Fakultäten deswegen vermehrt vermittelt. Dadurch entstand die Notwendigkeit, den Prozess mehr und mehr zu standardisieren. Auf Initiative der deutschsprachigen Skills Labs wurde der GMA-Ausschuss für praktische Fertigkeiten gegründet, der einen kompetenzbasierten Lernzielkatalog entwickelte, dessen Entstehung und Struktur hier beschrieben wird. Ziel des Kataloges ist es, die praktischen Fertigkeiten im Medizinstudium zu definieren und damit den Fakultäten eine rationale Planungsgrundlage für die zur Vermittlung praktischer Fertigkeiten notwendigen Ressourcen zu geben. Methodik: Aufbauend auf schon vorhandenen deutschsprachigen Lernzielkatalogen wurde mittels einem mehrfach iterativem Kondensationsprozesses, der der Erarbeitung von S1-Leitlinien entspricht, vorgegangen, um eine breite fachliche und politische Abstützung zu erhalten. Ergebnisse: Es wurden 289 verschiedene praktische Lernziele identifiziert, die zwölf verschiedenen Organsystemen, drei Grenzbereichen zu anderen Kompetenzbereichen und einem Bereich mit organsystemübergreifenden Fertigkeiten zugeordnet. Sie wurden drei verschiedenen zeitlichen und drei verschiedenen Tiefendimensionen zugeordnet und mit dem Schweizer und dem Österreichischem Pendant abgeglichen. Diskussion: Das vorliegende Konsensusstatement kann den deutschen Fakultäten eine Grundlage zur Planung der Vermittlung praktischer Fertigkeiten bieten und bildet einen wichtigen Schritt zu einem nationalen Standard medizinischer Lernziele. Blick in die Zukunft: Das Konsensusstatement soll einen formativen Effekt auf die medizinischen Fakultäten haben, ihre praktischen Unterrichtsinhalte entsprechend zu vermitteln und die Ressourcen danach zu planen.

Introduction: Encouraged by the change in licensing regulations the practical professional skills in Germany received a higher priority and are taught in medical schools therefore increasingly. This created the need to standardize the process more and more. On the initiative of the German skills labs the German Medical Association Committee for practical skills was established and developed a competency-based catalogue of learning objectives, whose origin and structure is described here. Goal of the catalogue is to define the practical skills in undergraduate medical education and to give the medical schools a rational planning basis for the necessary resources to teach them. Methods: Building on already existing German catalogues of learning objectives a multi-iterative process of condensation was performed, which corresponds to the development of S1 guidelines, in order to get a broad professional and political support. Results: 289 different practical learning goals were identified and assigned to twelve different organ systems with three overlapping areas to other fields of expertise and one area of across organ system skills. They were three depths and three different chronological dimensions assigned and the objectives were matched with the Swiss and the Austrian equivalent. Discussion: This consensus statement may provide the German faculties with a basis for planning the teaching of practical skills and is an important step towards a national standard of medical learning objectives. Looking ahead: The consensus statement may have a formative effect on the medical schools to teach practical skills and plan the resources accordingly.

Einleitung: Angestoßen durch die Änderung der Approbationsordnung haben die berufspraktischen Kompetenzen in Deutschland eine höhere Priorität erhalten und werden in den medizinischen Fakultäten deswegen vermehrt vermittelt. Dadurch entstand die Notwendigkeit, den Prozess mehr und mehr zu standardisieren. Auf Initiative der deutschsprachigen Skills Labs wurde der GMA-Ausschuss für praktische Fertigkeiten gegründet, der einen kompetenzbasierten Lernzielkatalog entwickelte, dessen Entstehung und Struktur hier beschrieben wird. Ziel des Kataloges ist es, die praktischen Fertigkeiten im Medizinstudium zu definieren und damit den Fakultäten eine rationale Planungsgrundlage für die zur Vermittlung praktischer Fertigkeiten notwendigen Ressourcen zu geben. Methodik: Aufbauend auf schon vorhandenen deutschsprachigen Lernzielkatalogen wurde mittels einem mehrfach iterativem Kondensationsprozesses, der der Erarbeitung von S1-Leitlinien entspricht, vorgegangen, um eine breite fachliche und politische Abstützung zu erhalten. Ergebnisse: Es wurden 289 verschiedene praktische Lernziele identifiziert, die zwölf verschiedenen Organsystemen, drei Grenzbereichen zu anderen Kompetenzbereichen und einem Bereich mit organsystemübergreifenden Fertigkeiten zugeordnet. Sie wurden drei verschiedenen zeitlichen und drei verschiedenen Tiefendimensionen zugeordnet und mit dem Schweizer und dem Österreichischem Pendant abgeglichen. Diskussion: Das vorliegende Konsensusstatement kann den deutschen Fakultäten eine Grundlage zur Planung der Vermittlung praktischer Fertigkeiten bieten und bildet einen wichtigen Schritt zu einem nationalen Standard medizinischer Lernziele. Blick in die Zukunft: Das Konsensusstatement soll einen formativen Effekt auf die medizinischen Fakultäten haben, ihre praktischen Unterrichtsinhalte entsprechend zu vermitteln und die Ressourcen danach zu planen. Schlüsselwörter: Fertigkeiten, Praktische Fertigkeiten, Klinische Fertigkeiten, medizinische Ausbildung, Konsensus Methode, Delphie-Befragung, Lernziele, Outcomes, Kompetenzen

Emerging high-performance computing systems, combined with increasingly detailed 3-D Earth models and physically consistent numerical wave propagation solvers, are opening up new opportunities for urgent seismic computing. This may help, for instance, to guide emergency response teams in the wake of large earthquakes. A key component of urgent seismic computing is the early availability of source mechanism estimates, well before conventional and time-consuming moment tensor inversions are carried out and published. Here, we introduce a methodology that rapidly estimates focal mechanisms (FM) for moderate and large earthquakes (Mw > 4.0) by means of statistical and clustering algorithms. The fundamental rationale behind the method is that events of a certain size tend to be similar to other events of similar size in similar locations. In this work, two different strategies are used to provide different FM solutions: the first is based only in spatial considerations including statistical analysis, and the other one is based on a data clustering algorithm. We exemplify our methodology with six different subsets of the open-access Global Centroid Moment Tensor (GCMT) catalog. Specifically, our study datasets include events from Japan, New Zealand, California, Mexico, Iceland, and Italy, which represent six seismically active regions, with a large FM variability. Our results show a 70–85% agreement between our fast FM estimates and inversion results, depending on the particular tectonic region, dataset size, and magnitude threshold. In addition, our FM estimation strategies only spend few seconds for processing, since they are totally independent of seismic record retrieval and inversion. Albeit not meant to be a substitute for CMT inversions, our methodologies can bridge the time gap between earthquake detection and FM inversion. ; The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under the grant agreement no. 823844, the Center of Excellence for Exascale in Solid Earth (ChEESE CoE Project). ; Peer Reviewed ; Postprint (published version)

Abstract. Scientists from different disciplines at ETH Zurich are developing a dynamic, harmonised, and user-centred earthquake risk framework for Switzerland, relying on a continuously evolving earthquake catalogue generated by the Swiss Seismological Service (SED) using the national seismic networks. This framework uses all available information to assess seismic risk at various stages and facilitates widespread dissemination and communication of the resulting information. Earthquake risk products and services include operational earthquake (loss) forecasting (OE(L)F), earthquake early warning (EEW), ShakeMaps, rapid impact assessment (RIA), structural health monitoring (SHM), and recovery and rebuilding efforts (RRE). Standardisation of products and workflows across various applications is essential for achieving broad adoption, universal recognition, and maximum synergies. In the Swiss dynamic earthquake risk framework, the harmonisation of products into seamless solutions that access the same databases, workflows, and software is a crucial component. A user-centred approach utilising quantitative and qualitative social science tools like online surveys and focus groups is a significant innovation featured in all products and services. Here we report on the key considerations and developments of the framework and its components. This paper may serve as a reference guide for other countries wishing to establish similar services for seismic risk reduction.