Wei's bio and track record
Dr. Wei Xiong is a professor in the Climate Change Division, The Institute of Environment and Sustainable Development in Agriculture (IEDA) at the Chinese Academy of Agricultural Sciences (CAAS). He is serving as steering council member of AgMIP (The Agricultural Model Intercomparison and Improvement Project). He was a research fellow from 2012-2014 at IIASA (the International Institute of Applied System Analysis). His research focuses on the interactions between climate, risk management, and crop production with a primary focus on China and other developing countries. He specifically works on up-scaling the application of crop models of DSSAT, EPIC, and APSIM; on the impact and adaptation of climate change on agriculture; and on uncertainties assessments of crop models. Dr. Xiong has a broad-base of expertise encompassing detailed knowledge of climate scenarios generation, climate variability, and agronomic adaptation techniques.
Dr. Xiong received his PhD in Agronomy from the China Agricultural University in 2004, and B.Sc in Applied Meteorology from the Chinese Academy of Agricultural Sciences in 2001. Dr. Xiong completed his post-doctoral research at the International Food Policy Research Institute (IFPRI) in Washington D.C and the University of Florida. His research areas currently focus on cloud-based application of agricultural models and nexus of agriculture, water, and energy security. From July 2001, he worked within diverse teams of researchers simulating the interactions of climate change, water availability, land use change, and socio-economic development on China’s food production. He is closely involved in several projects funded by the Work Bank, the Asian Development Bank, Ecosystem Services for Poverty Alleviation (ESPA), the UK's Department for International Development (DFID), the Chinese Ministry of Science and Technology MOST), and the Chinese National Natural Science Foundation (NSFC), among others.
Associated work programmes
Agriculture and weather risk
Translating weather risks into crop yield lossExplore programme