VOLCANO: IUGG 2015. VS06 Benchmarking Pyroclastic Density Current Models: Code Inter-Comparison and Field

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IUGG 2015. VS06 Benchmarking Pyroclastic Density Current Models: Code Inter-Comparison and Field
From: "Charbonnier, Sylvain" <sylvain@xxxxxxx>
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Dear Colleagues,


Please consider submitting an abstract to the following session:


VS06 Benchmarking Pyroclastic Density Current Models: Code Inter-Comparison and Field Validation

Conveners: Sylvain Charbonnier (Tampa, USA), Tomaso Esposti-Ongaro (Pisa, Italy), Greg Valentine (Buffalo, USA)

Description

Prediction of the impacts of pyroclastic density currents (PDCs) is required for hazard and risk assessment, and for design of risk mitigation measures. The goal of such predictions is to estimate the area that may be affected by the movement of a potential PDC, and to map hazard intensity parameters, such as temperature, dynamic pressure, velocity, depth of flow and thickness of deposits. The technology for making such predictions has advanced substantially in recent years. Numerical computer-based models now exist, capable of approximating the motion of a given volume of pyroclastic material from its source to the deposition area. As the technology begins to mature, it is useful to compare the various models each other. A benchmark is a comparison of models aimed at simulating the same physical process upon common initial and boundary conditions and outputs, but using different physical formulations, mathematical approaches and numerical techniques. Recently, some efforts have been done on PDC numerical modeling in the direction of constraining the models themselves with data coming from different approaches, such as field study and experiments. Following the approach of inter-comparison projects for geophysical mass flow, volcanic ash dispersal and atmospheric models, we invite contributions from all those involved in field-based, experimental, theoretical and numerical studies related to benchmark/verification/validation of PDC models. This symposium aims to (1) draw together various contributions in order to highlight new approaches, methodologies and results and (2) set up the basis for a future community-based benchmarking effort on PDC models.


Abstract deadline is January 31! Deadline for supporting grants is January 15!



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