Abstract：Projecting the trend of extreme climate events can reduce the risk of disasters. Based on the CMIP6 ensemble dataset EPTGODD-WHU， extreme climate indices which included the maximum value of maximum monthly temperature (TXx)， the minimum value of maximum monthly temperature (TXn)， the maximum value of minimum monthly temperature (TNx)， the minimum value of minimum monthly temperature (TNn) and the maximum monthly precipitation (PXx)， were selected in combination of GIS analysis methods to estimate the global continent extreme temperature and precipitation in the scenarios of SSP1-2.6， SSP2-4.5 and SSP5-8.5 in 2021-2100 in this study. The results are shown as follows. 1) Compared with the CMIP single model， the simulation performance of the EPTGODD-WHU dataset is significantly improved， and the spatial correlation coefficients of temperature and precipitation are 0.99 and 0.81， respectively. 2) Under the SSP5-8.5 scenario， the annual minimum temperature and maximum temperature increase significantly with little fluctuation within the year is stable. The extremely cold regions of the earth’s land will face a higher risk of warming， while the extremely warm regions such as the equator will bear a long-term hot state. 3) Under the SSP5-8.5 scenario， the extreme precipitation in the six continents will face a severe upward change trend， however， Mississippi Plain and the Coastal Plain in North America face higher drought risk in the future under the SSP5-8.5 scenario. 4) The extreme precipitation in southwestern China shows a steady increase under the three scenarios， and the increase rate reaches to 60%， which indicates a higher risk of flooding.
2023, Vol. 57 
