Multi-value added usecross-domain combination of meteorological data
Topics Multi-value added usecross-domain combination of meteorological data

Taiwan is one of the vulnerable areas frequently suffering from natural disasters. Typhoons, floods, landslides, droughts, and earthquakes are the most frequent natural disasters. Despite this increasing risk, which is due to a number of climatic and non-climatic factors, improvements in decision support system for disaster risk management and early warning are making it possible to limit losses from natural disasters. This would not be possible without the informed use of constantly improving meteorological, hydrological and related data-information. In addition, meteorological data can be integrated and analyzed with the related multiple data collected by AIOT (Artificial Intelligence of Things), and then applied in different fields to generate data-driven innovation and economic value. According to the Global Framework for Climate Services (GFCS) by the World Meteorological Organization (WMO), the informed use of meteorologicaland related data-information can deliver enormous benefits to society, including agriculture, water resources, the natural environment, human health, tourism,energy, transport and communications, urban settlement and sustainable development, etc.