The two most common types of disasters caused by natural hazards in the Asia-Pacific region are floods and storms,many of them associated with typhoon(tropical cyclone)related impacts.To improve the capacity of typhoo...The two most common types of disasters caused by natural hazards in the Asia-Pacific region are floods and storms,many of them associated with typhoon(tropical cyclone)related impacts.To improve the capacity of typhoon-related disaster risk reduction so as to maximum reduce the losses of people’s life and properties,the decision makers and the public are imminently demanding the information of the targeted impact caused by typhoon.As the front line in hydro-meteorological disaster prevention and mitigation against the typhoon-related disasters,National Meteorological and Hydrological Services(NMHSs)in TC Members have recognized that forecasting impact became more important than forecasting pure causing-disaster elements.Impact-based forecasting signals an evolution from“what the weather will be”to“what the weather will do”.Many things change as impact based forecasts evolve from previous weather forecasts.To enhance impact-based typhoon forecasting,the Typhoon Committee added it into the new updated Strategic Plan 2022–2026.This paper briefed generally the concept of impact based forecasting,introduced the implementation and progresses on typhoon impact based forecasting in TC Members in recent years,and initially discussed the measures and direction for enhancement of impact-based typhoon forecasting and early warning services in future.展开更多
The unexpectedly outbreak of COVID-19 in early 2020,as a public emergency,has impacted the way of human behavior deeply and widely in today’s society,including the countermeasures of typhoon-related disaster risk red...The unexpectedly outbreak of COVID-19 in early 2020,as a public emergency,has impacted the way of human behavior deeply and widely in today’s society,including the countermeasures of typhoon-related disaster risk reduction and preparedness in the Members of Typhoon Committee(TC).This paper briefed the impacts due to COVID-19 pandemic on activities of the Committee in 2020;introduced the countermeasures took in National Hydrological and Meteorological Services(NHMS)of TC Members during typhoon season in 2020 for coping with the crisis caused by COVID-19 pandemic;summarized the innovative strategies and countermeasures for dealing with the crisis of special or emergency public situation for typhoon-related disaster risk prevention,preparedness and reduction in future based on the review and analysis of the experiences from Members and international/regional agencies,and the outcomes from TC Integrated Workshop and Annual Session,including strengthening meteorological and hydrological services and value of preparedness;enhancing multi-sectoral coordination mechanisms;promoting the mobile-based data transmission and information dissemination;and increasing installation of home-based hydro-meteorological monitoring stations.The paper also discussed the impact-based forecasting and the application of big-data and AI technology in typhoon-related disaster risk reduction as two new key areas to be taken into consideration in TC updating Strategic Plan 2022 e2026.展开更多
ESCAP/WMO Typhoon Committee Members are directly or indirectly affected by typhoons every year.Members have accumulated rich experiences dealing with typhoons'negative impact and developed the technologies and mea...ESCAP/WMO Typhoon Committee Members are directly or indirectly affected by typhoons every year.Members have accumulated rich experiences dealing with typhoons'negative impact and developed the technologies and measures on typhoon-related disaster risk forecasting and early warning in various ways to reduce the damage caused by typhoon.However,it is still facing many difficulties and challenges to accurately forecast the occurrence of typhoons and warning the potential impacts in an early stage due to the continuously changing weather conditions.With the development of information technology(IT)and computing science,and increasing accumulated hydro-meteorological data in recent decades,scientists,researchers and operationers keep trying to improve forecasting models based on the application of big data and artificial intelligent(AI)technology to promote the capacity of typhoon-related disaster risk forecasting and early warning.This paper reviewed the current status of application of big data and AI technology in the aspect of typhoon-related disaster risk forecasting and early warning,and discussed the challenges and limitations that must be addressed to effectively harness the power of big data and AI technology application in typhoon-related disaster risk reduction in the future.展开更多
文摘The two most common types of disasters caused by natural hazards in the Asia-Pacific region are floods and storms,many of them associated with typhoon(tropical cyclone)related impacts.To improve the capacity of typhoon-related disaster risk reduction so as to maximum reduce the losses of people’s life and properties,the decision makers and the public are imminently demanding the information of the targeted impact caused by typhoon.As the front line in hydro-meteorological disaster prevention and mitigation against the typhoon-related disasters,National Meteorological and Hydrological Services(NMHSs)in TC Members have recognized that forecasting impact became more important than forecasting pure causing-disaster elements.Impact-based forecasting signals an evolution from“what the weather will be”to“what the weather will do”.Many things change as impact based forecasts evolve from previous weather forecasts.To enhance impact-based typhoon forecasting,the Typhoon Committee added it into the new updated Strategic Plan 2022–2026.This paper briefed generally the concept of impact based forecasting,introduced the implementation and progresses on typhoon impact based forecasting in TC Members in recent years,and initially discussed the measures and direction for enhancement of impact-based typhoon forecasting and early warning services in future.
文摘The unexpectedly outbreak of COVID-19 in early 2020,as a public emergency,has impacted the way of human behavior deeply and widely in today’s society,including the countermeasures of typhoon-related disaster risk reduction and preparedness in the Members of Typhoon Committee(TC).This paper briefed the impacts due to COVID-19 pandemic on activities of the Committee in 2020;introduced the countermeasures took in National Hydrological and Meteorological Services(NHMS)of TC Members during typhoon season in 2020 for coping with the crisis caused by COVID-19 pandemic;summarized the innovative strategies and countermeasures for dealing with the crisis of special or emergency public situation for typhoon-related disaster risk prevention,preparedness and reduction in future based on the review and analysis of the experiences from Members and international/regional agencies,and the outcomes from TC Integrated Workshop and Annual Session,including strengthening meteorological and hydrological services and value of preparedness;enhancing multi-sectoral coordination mechanisms;promoting the mobile-based data transmission and information dissemination;and increasing installation of home-based hydro-meteorological monitoring stations.The paper also discussed the impact-based forecasting and the application of big-data and AI technology in typhoon-related disaster risk reduction as two new key areas to be taken into consideration in TC updating Strategic Plan 2022 e2026.
文摘ESCAP/WMO Typhoon Committee Members are directly or indirectly affected by typhoons every year.Members have accumulated rich experiences dealing with typhoons'negative impact and developed the technologies and measures on typhoon-related disaster risk forecasting and early warning in various ways to reduce the damage caused by typhoon.However,it is still facing many difficulties and challenges to accurately forecast the occurrence of typhoons and warning the potential impacts in an early stage due to the continuously changing weather conditions.With the development of information technology(IT)and computing science,and increasing accumulated hydro-meteorological data in recent decades,scientists,researchers and operationers keep trying to improve forecasting models based on the application of big data and artificial intelligent(AI)technology to promote the capacity of typhoon-related disaster risk forecasting and early warning.This paper reviewed the current status of application of big data and AI technology in the aspect of typhoon-related disaster risk forecasting and early warning,and discussed the challenges and limitations that must be addressed to effectively harness the power of big data and AI technology application in typhoon-related disaster risk reduction in the future.
