This project focuses on (1) how to find out the correlation and trend change among sensitive factors of global change, the correlation between sensitive factors and focus issues, and how to improve the cognitive ability of global change issues through trans-circle and trans-field big data spatio-temporal mining; (2) Two scientific problems, namely, the spatio-temporal representation and uncertainty of key parameters in the big data of global change, the detection and cognition of global change phenomenon and the impact on the simulation results of global change model, are studied as follows:

Through the implementation of this project, China's first global change big data cloud sharing platform for business operation is built. Three rapid processing systems for global change data products; 12 sets of data products covering energy balance, water cycle, carbon cycle, cryosphere change and key parameters of the Marine environment; Six global change focus issues (or future risks) reports on "carbon, water security, poverty" provide multi-layered, up-to-date big data sharing and online analysis services for global change research.