The Hong Kong Observatory organised a Workshop on the Use and Interpretation of Mesoscale Numerical Weather Prediction for High-Impact Weather Forecasting under the Voluntary Cooperation Programme (VCP) of the World Meteorological Organization (WMO) on 5-9 December 2016.
Numerical weather prediction (NWP) is an indispensable tool of weather forecasting nowadays. This workshop focused on the use and interpretation of mesoscale NWP in forecasting tropical cyclones and other types of severe weather, as well as model post-processing methods, with a view to enhancing the capability of meteorological services in forecasting hazardous weather. At the workshop, Professor David Stensrud from the Pennsylvania State University introduced the applications of convective scale ensemble assimilation and forecasting systems at the National Oceanic and Atmospheric Administration; Dr Yerong Feng from the Guangzhou Regional Meteorological Center, China Meteorological Administration, presented the latest development of the TC-GRAPES model and the techniques for forecasting severe convective weather over southern China; Mr Atsushi Kudo from Japan Meteorological Agency shared with the participants on the use of regional forecasting products and forecasting techniques for aviation significant weather; as well as Mr Wong Wai-kin and Mr Hon Kai-kwong of the Hong Kong Observatory briefed on the latest development of mesoscale and high-resolution NWP at the Observatory. Besides, the participants also shared their experience on the subject.
The workshop was attended by 20 participants from 17 different countries, including Argentina, China, Kazakhstan, Kenya, Lao PDR, Maldives, Mongolia, Myanmar, Pakistan, Philippines, Poland, Sri Lanka, Tajikistan, Thailand, United Republic of Tanzania, Uzbekistan and Viet Nam. Colleagues from the Observatory also joined in actively. All the participants highly rated the workshop and expressed that they would apply the new knowledge acquired to disaster reduction and mitigation at their meteorological services.