Due to the low accuracy rate of maximum temperature prediction in Guizhou Province, the refined guidance forecast SCMOC data and meteorological observations data from 2013 to 2018 were used to study maximum temperature forecast for 24-72 hours of 85 stations in Guizhou. The horizontal prediction model (F1), the vertical forecast model (F2) and the combination model with F1 and F2 (Fzh) were established to forecast daily maximum temperature in Guizhou. The results show that Fzh took a best performance among three models, and for these three models, both mean root-mean-square error (RMSE) and accuracy rate were improved to varying degrees. Compared with SCMOC, the forecast results of F1 in spring and summer were better than that in autumn and winter, and the improvement in the northern areas of Guizhou Province was more obvious than southern areas. The forecast results of F2 were improved all the year round, and the overall improvement was relatively stable. The forecast accuracy rate of Fzh was obviously better than F1 and F2, and RMSE decreased significantly, the mean RMSE decreased 1.0 to 2.0 ℃, the accuracy rate increased by 11% to 13%.

Soil heat flux plays an important role in energy flux exchange between land and atmosphere, especially in arid and semi-arid region. Based on soil heat flux at Zhangye National Climate Observatory, the diurnal variation of soil heat flux and the relationship between that and radiation flux are analyzed under different weather conditions for clear, cloudy and rainy day.The results show that the soil accepted heat from the air on clear day, on the contrary, the output heat of soil exceeded the input on cloudy and rainy day. In addition, most values of soil heat flux are negative in autumn and winter season, and positive in spring and summer .