Abstract: The paper selected the daily data of maximum and minimum temperature from the 13 meteorological stations in the Jiangsu Province, and explored the trend and probability characteristics based on linear trend estimation, improved Mann-Kendall trend and abrupt change test and GEV model; Moreover, the spatial characteristics of extreme temperature with the return period of 100 years are also investigated based on ARCGIS. The results indicate: (1) For the indices measured by maximum temperature, ice days and cool days show negative trend; summer days and warm days show positive trend. For the indices measured by minimum temperature, frost days and cool nights show decreasing trend; tropical nights and warm nights show increasing trend. (2) The upward trend of extreme minimum temperature is weaker than that of extreme maximum temperature based on the improved Mann-Kendall test. The abrupt years are mainly during the 2000s for extreme maximum temperature, and they are mainly during the 1980s for extreme minimum temperature. (3) The return levels for extreme maximum and minimum temperature were obtained using the stationary and non-stationary GEV models. The return level obtained by the non-stationary GEV model change with the trend of the original time series. (4)The spatial patterns of extreme maximum temperature for return level of 100 years increase from the west to the east, and those of the extreme minimum temperature decrease from the northwest to the southeast.
Key words：extreme maximum temperature; extreme minimum temperature; improved Mann-Kendall test; probability characteristics