On January 12, 2022, the Multi-model-Integrated Subseasonal-to-Seasonal Prediction and Application in Disaster Risk Reduction Project of the Alliance of International Science Organizations (ANSO-MISSPAD) led by Prof. BAO Qing and Prof. WU Guoxiong received a thank-you letter from the ANSO Secretariat. The letter informed that the article entitled "ANSO-MISSPAD Provides Medium and Long Term Weather Forecasts and Assists with International Emergency Rescue" submitted by the project was accepted by the Belt and Road Initiative Innovation Development Report 2021. The report officially released at the Tibetan Plateau Ecological Civilization and Ecological Security Forum during the Fifteenth Meeting of the Conference of the Parties of the United Nation's Convention on Biological Diversity (CBD COP15) was approved by the leadership of the State and the Chinese Academy of Sciences, promoting ANSO's impact in boosting high-quality development of countries and regions along the Belt and Road Initiative(BRI). 

 

ANSO-MISSPAD with the IAP FGOALS-f2 Sub-seasonal to Seasonal Ensemble Prediction System as its core, is devoted to weather to climate seamless forecasting research and product application. The project was a member of the Sub-seasonal to Seasonal Prediction Project (S2S) jointly launched by the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP). 

 

ANSO-MISSPAD research results have been applied in operational sectors. So far, the project has released 18 newsletters on the weather and climate forecast information for countries and regions along the BRI, jointed in the International Sea Ice Prediction Network (SIPN2). It played an active role in providing meteorological service for the Beijing 2022 Winter Olympic Games, the Sri Lanka Oil Tanker Fire Rescue and the winter drought forecast in Nepal in 2020, the Polar Silk Road climate service, the global agricultural monitoring, the disaster prevention and mitigation and the sustainable development of the Central Asia region.