Virtual water trade provides a new way for rational water resources allocation under climate change. In this paper, seven main cropproducts' virtual water content and trade were estimated both for current 2010s and 2030s in the three provinces （Hubei， Shanxi， Henan） in theHanjiang basin， in which the climate model （BCC-CSM 1.1） and statistical downscaling model （SDSM）were used to predict future climatic factors under three representative concentration pathways（RCP2.6， RCP4.5 and RCP8.5 scenarios）. The results show that virtual water content ofmajor crops in 2030s decreases basically than that in 2010s and climate change has little influence on water consumption structure of these cropproducts. Furthermore, climate change can bring about positive feedback effects on the net virtual water flow and strengthen the increasing effectcaused by economic growth. It is important to consider the impacts of climate change during the analysis of the virtual water trade in the future.