Simulation systems for tsunami wave propagation forecasting within the French tsunami warning center

Gailler, Audrey; Hébert, Hélène; Loevenbruck, A.; Hernandez, B.

doi:10.5194/nhess-13-2465-2013

Cited by 27 publications

(27 citation statements)

References 33 publications

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“…The same conclusion can be drawn in the western Mediterranean basin where precomputed tsunami databases have also been implemented in operational context, which is described in this SI (Gailler et al, 2013). The approach is different since a series of unit tsunamis has been defined with the purpose of building a composite scenario as a linear combination, with a number of scenarios depending on the magnitude.…”

mentioning

confidence: 73%

Preface: New challenges for tsunami science: understanding tsunami processes to improve mitigation and enhance early warning

Hébert

Didenkulova

Fritz

et al. 2016

Nat. Hazards Earth Syst. Sci.

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mentioning

confidence: 73%

Preface: New challenges for tsunami science: understanding tsunami processes to improve mitigation and enhance early warning

Hébert

Didenkulova

Fritz

et al. 2016

Nat. Hazards Earth Syst. Sci.

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“…The most common set of equations solved are the shallow water equations, and most codes use structured and nested meshes. A popular discretisation is finite differences, such codes include: NOAA's MOST (Titov and Gonzalez (1997)), COMCOT (Liu et al (1998)), CENALT 5 (Gailler et al (2013)). On more flexible meshes many use the finite element discretisation, such as SELFE (Zhang and Baptista (2008)) and TsunAWI (Harig et al (2008)), ASCETE (Vater and Behrens (2014)), Firedrake-Fluids (Jacobs and Piggott (2015)) or the finite volume discretisation, such as the VOLNA code (Dutykh et al (2011)), GeoClaw (George and LeVeque (2006)) or HySEA (Macías et al (2017)).…”

Section: Related Workmentioning

confidence: 99%

The VOLNA-OP2 Tsunami Code (Version 1.0)

Reguly¹,

Gopinathan²,

Beck³

et al. 2018

Preprint

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Abstract. In this paper, we present the VOLNA-OP2 tsunami model and implementation; a finite volume non-linear shallow water equations (NSWE) solver built on the OP2 domain specific language for unstructured mesh computations. VOLNA-OP2 is unique among tsunami solvers in its support for several high performance computing platforms: CPUs, the Intel Xeon Phi, and GPUs. This is achieved in a way that the scientific code is kept separate from various parallel implementations, enabling easy maintainability. It has already been used in production for several years, here we discuss how it can be integrated into 5 various workflows, such as a statistical emulator. The scalability of the code is demonstrated on three supercomputers, built with classical Xeon CPUs, the Intel Xeon Phi, and NVIDIA P100 GPUs. VOLNA-OP2 shows an ability to deliver productivity to its users, as well as performance and portability on a number of platforms.

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“…Álvarez-Gómez et al, 2011) as well as for early warning systems, which are largely based on precomputed tsunamigenic faulting scenarios derived from information of such databases (e.g. Gailler et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Active fault databases: building a bridge between earthquake geologists and seismic hazard practitioners, the case of the QAFI v.3 database

García-Mayordomo

Martín-Banda

Insúa-Arévalo

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Active fault databases are a very powerful and useful tool in seismic hazard assessment, particularly when singular faults are considered seismogenic sources. Active fault databases are also a very relevant source of information for earth scientists, earthquake engineers and even teachers or journalists. Hence, active fault databases should be updated and thoroughly reviewed on a regular basis in order to keep a standard quality and uniformed criteria. Desirably, active fault databases should somehow indicate the quality of the geological data and, particularly, the reliability attributed to crucial fault-seismic parameters, such as maximum magnitude and recurrence interval. In this paper we explain how we tackled these issues during the process of updating and reviewing the Quaternary Active Fault Database of Iberia (QAFI) to its current version 3. We devote particular attention to describing the scheme devised for classifying the quality and representativeness of the geological evidence of Quaternary activity and the accuracy of the slip rate estimation in the database. Subsequently, we use this information as input for a straightforward rating of the level of reliability of maximum magnitude and recurrence interval fault seismic parameters. We conclude that QAFI v.3 is a much better database than version 2 either for proper use in seismic hazard applications or as an informative source for non-specialized users. However, we already envision new improvements for a future update.

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Simulation systems for tsunami wave propagation forecasting within the French tsunami warning center

Cited by 27 publications

References 33 publications

Preface: New challenges for tsunami science: understanding tsunami processes to improve mitigation and enhance early warning

Preface: New challenges for tsunami science: understanding tsunami processes to improve mitigation and enhance early warning

The VOLNA-OP2 Tsunami Code (Version 1.0)

Active fault databases: building a bridge between earthquake geologists and seismic hazard practitioners, the case of the QAFI v.3 database

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