From September 17 to 19, 2019, Professor Zhao Kun, the chief scientist of the Understanding and Prediction of Rainfall Associated with Tropical Cyclones (UPDRAFT), and Associate Professor Ming Jie, the backbone of the project, went to Geneva, Switzerland, to attend the 12thMeeting of World Meteorological Organization (WMO) World Weather Research Program (WWRP) Working Group on Tropical Meteorology Research (WGTMR). WGTMR is affiliated to the Commission for Atmospheric Sciences (CAS) of WMO. It is mainly dedicated to gathering researchers and forecasters in tropical weather research. Via academic exchange activities and international projects promotion, WGTMR fuels scientific research of tropical weather, as well as business transformation and evaluation of research results. The Group also devises future development strategies.
The meeting was chaired by Professor Wang Zhuo of the WGTMR. The chairman and members of the WWRP,and chief scientists of various R&D programs participated in the meeting. Topics included the WWRP introduction, the important progress of the WGTMR, the discussion of WGTMR future development, and the report of programs research results. UPDRAFT, chaired by Professor Zhao Kun and Professor Wang Yuan of Nanjing University, is an important part of the WGTMR. Professor Zhao Kun made a report, on behalf of the team, on the project progress in the past 4 years and the future planning. The delegates at the meeting affirmed the work of the UPDRAFT team and put forward suggestions on the future development.
The project introduction:
Understanding and Prediction of Rainfall Associated with Tropical Cyclones (UPDRAFT) was proposed by the Key Laboratory of Mesoscale Severe Weather (Nanjing University). In November 2014, the project was officially approved as the World Weather Research Program (WWRP) Research and Development Project (RDP) by the World Meteorological Organization (WMO) Executive Committee. The project will zoom into the key physical processes influencing the cyclone to understand the main factors impacting the precipitation formation. On such basis, a systematic evaluation will be given to the quantitative rainfall prediction of the numerical model, improving the model physics scheme and data assimilation technology; at the same time, a high-resolution observation-based database for scientific research can also be generated.