Abstract
A service platform (referred to as Taiwan Marine Environment Monitoring Service) was designed to integrate marine environmental parameters, including wind, wave, tide, current and temperature components, from in-situ and remote sensing observations, ship reports and numerical models to support the safety of various marine-related activities in Taiwanese waters. Independent modules were developed and plugged into the platform to facilitate advanced analyses via the safe sea, particle tracking module, extreme waves, oil spill simulation, tsunami warning (TW), sea level rise, dangerous swell warning (DSW), and SST drop modules. This paper introduces the service platform and DSW and TW module analysis methods. A real-time analysis method for tsunami height is developed and validated; a criterial analysis of hazardous swells is also performed. This service platform is now in operation and has served more than 10 governmental institutions and numerous members of the public in Taiwan.
Highlights
The demand for oceanographic data has dramatically increased in recent years
The purpose of this paper is to report the design of the service platform and describe the establishment of warning subsystems for ocean long waves, which include tsunamis and destructive swells
Since tidal stations are located at the coast, they do not provide sufficient time for evacuation; their results may provide useful information for other nearby countries, which are critical for guiding the issuance of tsunami warning (TW) and for canceling warnings when non-destructive tsunamis are observed (Merrifield et al, 2005)
Summary
The demand for oceanographic data has dramatically increased in recent years. They are widely used for various objectives, such as engineering design, environmental protection, hazard mitigation, navigation, and fishery industry application, etc. The purpose of this paper is to report the design of the service platform and describe the establishment of warning subsystems for ocean long waves, which include tsunamis and destructive swells. The observations (in-situ and remote sensing) and model results (analyses and forecasts) of the physical elements of the ocean, such as wind, waves, currents, tides (sea level) and temperature, are imported into the system, as shown in the data integration part of Figure 1.
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