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DT-GEO Deliverable: D6.2 Interoperable Earthquake Physics Module

Authors: Behrens, Jörn; Magni, Valentina; Volpe, Manuela; Ulrich, Thomas; Macías, Jorge; González, Alejandro; Bänsch, Michel; +5 Authors

DT-GEO Deliverable: D6.2 Interoperable Earthquake Physics Module

Abstract

Probabilistic Tsunami Forecasting (PTF) provides instant information on hazard probabilities and exceedance values, once an earthquake has occurred. This requires advanced workflows integrating automated source-to-inundation modelling chains, as envisioned in the DTC-T1. In this document the implementation and testing of a coupled earthquake source–tsunami propagation and inundation modelling workflow is documented. Both modelling components as well as the new interface software layer are described. Verification and validation of the integrated software module is performed employing two artificial benchmark tests as well as a real-world case. This document establishes the fulfilment of deliverable D6.2 of DT-GEO.

Project funded by Horizon Europe under the grant agreement No. 101058129.

Copyright Members of DT-GEO collaboration, 2022/2025.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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