Dataset: Tsunami Model Output/Guam/NEOWAVE Regional Tsunami Model: Guam: Agana and Tumon Bays
Data format: netCDF
Data type: GRID
Naming Authority: org.pacioos
ID: neowave_agana_tumon
Documentation:
summary: Non-hydrostatic Evolution of Ocean WAVEs (NEOWAVE) regional tsunami model for adjacent Agana and Tumon Bays along the northwest shore of the island of Guam, categorized by earthquake magnitude and subduction zone. Offshore data are gridded at approximately 90-m resolution while in-harbor data are approximately 9-m resolution. Includes offshore surge and current based on maximum considered tsunamis as well as in-harbor hazard maps of surge, drawdown, and current for hypothetical advisory and warning-level tsunamis from potential sources at the Mariana, Nankai, Philippine, and New Guinea subduction zones. Data are referenced to the WGS84 coordinate system, and the vertical datum is mean sea level (MSL). This shock-capturing, dispersive wave model computes tsunami generation, propagation, and inundation for complex flow patterns in shelf and reef environments. It has been validated with analytical, laboratory, and field benchmarks and is approved by the National Tsunami Hazard Mitigation Program. These hazard maps cover tsunamis only; other potential hazards such as wind waves and swells would be additive to the surge, drawdown, and current described by these data.
rights: These model data were generated as part of an academic research project, and the principal investigator, Kwok Fai Cheung (cheung@hawaii.edu), asks to be informed of intent for scientific use and appropriate acknowledgment given in any publications arising therefrom. The data are provided free of charge, without warranty of any kind.
funding: The Pacific Islands Ocean Observing System (PacIOOS), funded through the National Oceanic and Atmospheric Administration (NOAA), is a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST).