From December 9 to 11, the Fifth International Training Course on Tropic Cyclone Monitoring and Forecasting was held online by the China Meteorological Administration (CMA). The training course focused on enhancing the operational capabilities of tropical cyclone forecasters from ESCAP/WMO Typhoon Committee (TC) and Panel on Tropical Cyclones (PTC) Members.
This training has enrolled 92 participants who came from Myanmar, Malaysia, the Philippines, Bangladesh, Thailand, India, Sri Lanka, Nigeria, Yemen, Qatar, Pakistan, Somali, Oman, and so on.
Asia and Pacific region is one of the regions which are most affected by tropical cyclones. With the support of the Economic and Social Commission for Asia and the Pacific (ESCAP) of the United Nations and World Meteorological Organization (WMO), and the joint efforts and cooperation of members, Typhoon Committee and Panel on Tropical Cyclones have played irreplaceable roles in disaster risk reduction, life and property protection, and mitigation of social, economic and environmental impacts. CMA has held many international training courses on typhoon monitoring and forecasting since 2016. This year’s online training course was organized by World Meteorological Centre Beijing and Regional Training Centre Beijing. Experts were invited from Hawaii University and Guan University, as well as the Beijing Climate Centre, National Meteorological Centre, and so on.
Dr. Cyrille Honore from WMO Services Department remarked that the understanding we currently had on the impact of climate change on tropical cyclones is that, at global scale, their frequency was not expected to grow, but the proportion of them reaching the strongest intensity may increase by up to 25%. This situation, coupled with the sea level rise, and more populated coastal regions will make the challenge even greater.
CMA will make more efforts to ensure technical support and provide opportunities for communication and interaction. World Meteorological Centre Beijing provides products through its website such as real-time FY-4 high-precision monitoring products, GRAPES global numerical model forecast products, and the global grid products.
Author: Liu Shuang, Na Xiaodan
Editor: Liu Shuqiao