Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-775-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-775-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Feb 2021
Research article |
| 26 Feb 2021
| 26 Feb 2021
Multilayer-HySEA model validation for landslide-generated tsunamis – Part 1: Rigid slides
Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
Cipriano Escalante
Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
currently at: Departamento de Matemáticas, Campus de Rabanales, Universidad de Córdoba, 14071 Córdoba, Spain
Manuel J. Castro
Departamento de Análisis Matemático, Estadística e Investigación Operativa y Matemática Aplicada,
Facultad de Ciencias, Universidad de Málaga, 29080 Málaga, Spain
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Cited
15 citations as recorded by crossref.
- The effects of dispersion and non-linearity on the simulation of landslide-generated waves using the reduced two-layer non-hydrostatic model D. Tarwidi et al. 10.1007/s10596-023-10262-x
- A critical review about generic subaerial landslide-tsunami experiments and options for a needed step change V. Heller & G. Ruffini 10.1016/j.earscirev.2023.104459
- Reconstruction of the 2002 tsunami at Stromboli using the non-hydrostatic WAVE model (NHWAVE) A. Fornaciai et al. 10.1144/SP519-2020-162
- A Non-Hydrostatic Model for Simulating Weakly Dispersive Landslide-Generated Waves D. Tarwidi et al. 10.3390/w15040652
- Modeling Tsunamis Generated by Submarine Landslides at Stromboli Volcano (Aeolian Islands, Italy): A Numerical Benchmark Study T. Esposti Ongaro et al. 10.3389/feart.2021.628652
- A reduced two-layer non-hydrostatic model for submarine landslide-generated tsunamis D. Tarwidi et al. 10.1016/j.apor.2022.103306
- Multilayer-HySEA model validation for landslide-generated tsunamis – Part 2: Granular slides J. Macías et al. 10.5194/nhess-21-791-2021
- Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) M. Pedrosa-González et al. 10.5194/nhess-22-3839-2022
- An efficient two-dimensional non-hydrostatic model for simulating submarine landslide-generated tsunamis D. Tarwidi et al. 10.1016/j.oceaneng.2024.118750
- A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days K. Svennevig et al. 10.1126/science.adm9247
- Inundation and evacuation of shoreline populations during landslide-triggered tsunamis: an integrated numerical and statistical hazard assessment E. Bonilauri et al. 10.5194/nhess-24-3789-2024
- Validation and inter-comparison of models for landslide tsunami generation J. Kirby et al. 10.1016/j.ocemod.2021.101943
- Numerical investigation of a potential landslide-induced tsunami at the Suofengying reservoir in China L. Kafle et al. 10.1007/s10346-024-02217-9
- Probabilistic Tsunami Hazard Analysis: High Performance Computing for Massive Scale Inundation Simulations S. Gibbons et al. 10.3389/feart.2020.591549
- Multilayer Shallow Model for Dry Granular Flows with a Weakly Non-hydrostatic Pressure C. Escalante et al. 10.1007/s10915-023-02299-y
13 citations as recorded by crossref.
- The effects of dispersion and non-linearity on the simulation of landslide-generated waves using the reduced two-layer non-hydrostatic model D. Tarwidi et al. 10.1007/s10596-023-10262-x
- A critical review about generic subaerial landslide-tsunami experiments and options for a needed step change V. Heller & G. Ruffini 10.1016/j.earscirev.2023.104459
- Reconstruction of the 2002 tsunami at Stromboli using the non-hydrostatic WAVE model (NHWAVE) A. Fornaciai et al. 10.1144/SP519-2020-162
- A Non-Hydrostatic Model for Simulating Weakly Dispersive Landslide-Generated Waves D. Tarwidi et al. 10.3390/w15040652
- Modeling Tsunamis Generated by Submarine Landslides at Stromboli Volcano (Aeolian Islands, Italy): A Numerical Benchmark Study T. Esposti Ongaro et al. 10.3389/feart.2021.628652
- A reduced two-layer non-hydrostatic model for submarine landslide-generated tsunamis D. Tarwidi et al. 10.1016/j.apor.2022.103306
- Multilayer-HySEA model validation for landslide-generated tsunamis – Part 2: Granular slides J. Macías et al. 10.5194/nhess-21-791-2021
- Simulation of tsunami induced by a submarine landslide in a glaciomarine margin: the case of Storfjorden LS-1 (southwestern Svalbard Islands) M. Pedrosa-González et al. 10.5194/nhess-22-3839-2022
- An efficient two-dimensional non-hydrostatic model for simulating submarine landslide-generated tsunamis D. Tarwidi et al. 10.1016/j.oceaneng.2024.118750
- A rockslide-generated tsunami in a Greenland fjord rang Earth for 9 days K. Svennevig et al. 10.1126/science.adm9247
- Inundation and evacuation of shoreline populations during landslide-triggered tsunamis: an integrated numerical and statistical hazard assessment E. Bonilauri et al. 10.5194/nhess-24-3789-2024
- Validation and inter-comparison of models for landslide tsunami generation J. Kirby et al. 10.1016/j.ocemod.2021.101943
- Numerical investigation of a potential landslide-induced tsunami at the Suofengying reservoir in China L. Kafle et al. 10.1007/s10346-024-02217-9
2 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
The validation of numerical models is a first unavoidable step before their use as predictive tools. This requirement is even more necessary when the developed models are going to be used for risk assessment in natural events where human lives are involved. The present work is the first step in this task for the Multilayer-HySEA model, a novel dispersive multilayer model of the HySEA suite developed at the University of Malaga, following the standards proposed by the NTHMP of the US.
The validation of numerical models is a first unavoidable step before their use as predictive...
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