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Funwave-based open-access mapping applications (FUNMAP) applied to Tsunami modelling from the Manila Trench to Manila Bay, Philippines

  • Raquel Felix
  • , Elaine Hui Zhi Tan
  • , Masashi Watanabe
  • , Andrea Verolino
  • , Jun Yu Puah
  • , Adam D. Switzer
  • Nanyang Technological University
  • University of Southampton
  • Earth Observatory of Singapore
  • Asian School of the Environment

Research output: Contribution to journalLetterpeer-review

Abstract

Developing user-friendly applications bridges the gap between models and target users, aiding in more efficient learning and optimizing workflow. In this study, we contribute to bridging this gap in the tsunami modelling community by developing two offline, free standalone applications: the Input and Output FUNMAP apps. These tools are built on the open-source Fully Nonlinear Boussinesq Wave Model - Total Variation Diminishing version (FUNWAVE-TVD), a well-established and extensively validated model. The Input app assists in setting up simulation input files and running the FUNWAVE executable, while issuing visual warnings to help prevent errors. The Output app processes simulation results to generate wave height and current maps, as well as virtual gauge plots, with export options compatible with GIS and vector editing platforms. We tested the apps using sample cases from FUNWAVE-TVD and applied them to simulate tsunami hazards in Manila Bay, Philippines, under a hypothetical Mw 8.8 earthquake scenario along the southern Manila Trench. The results show that the presence of the submarine canyon at the bay entrance, along with the complex coastlines of Luzon, Lubang, and Mindoro Islands, influences the arrival of multiple waves in Manila Bay. The highest waves were observed at the bay entrance headlands and southern coasts, with high current velocities expected along the entire coastline. This case study demonstrates the effectiveness of the FUNMAP apps in generating tsunami simulation maps and plots.

Original languageEnglish
Article number49
JournalGeoscience Letters
Volume12
Early online date16 Oct 2025
DOIs
Publication statusE-pub ahead of print - 16 Oct 2025

Data Availability Statement

No datasets were generated or analysed during the current study.

Acknowledgements

We extend our gratitude to Edwin Tan Seng Tat for his valuable assistance in supporting us on utilising the High Performance Computing at Nanyang Technological University High Performance Computing Centre (NTU HPC). Thanks to his support, we were able to conduct the tsunami simulations using the HPC. The authors gratefully acknowledge Nick McCullen from the Department of Architecture and Civil Engineering, and Roberto Scipioni from the Research Computing Group at the University of Bath (doi.org/10.15125/b6cd-s854), for their support and guidance in using the University of Bath’s HPC.

Funding

This research is supported by the Earth Observatory of Singapore via its funding from the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative. This work comprises EOS contribution number 632.

Keywords

  • Standalone Tsunami modelling apps
  • FUNWAVE apps
  • FUNMAP
  • Tsunami model apps
  • Manila Bay tsunami
  • Manila Trench tsunami

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