Distributed Simulation Of Average Temperature In Ten Days Of Complex Terrain In Fujian Province

In this study,a distributed simulation model of the average temperature of the ten days and a ten-day average temperature estimation model with the monthly average temperature as the background data are used,taking the total solar radiation,the effective radiation of the longwave surface and the influence of the elevation on the temperature into account in this research,and used the data of weather stations between 1960-2010 in Fujian Provence.Based on the 100 m spatial resolution of DEM data,on the basis of retaining the local distribution law of temperature,the data of the average temperature raster of 100 m spatial resolution in Fujian Province was calculated,in order to develop the refined agriculture in Fujian Province.Hope to provide theoretical basis for the refinement of thermal resources and regional disaster prevention and mitigation.The simulation results show that:1.The results of the encrypted station verification using the distributed average temperature model show that the monthly MABE results are between 0.68 ?(June)and 2.69 ?(December),with an annual average of 1.35 ?;The results of each ten days MABE were between 0.65 °C(25th,early September)~ 2.95°C(34th,early December),with an annual average of 1.28°C;Using the monthly average temperature as the reference background data,the encrypted station verification result using the ten-day average temperature estimation model shows that The results of each ten days MABE are between 0.65 °C(16th,early June)~ 2.69°C(36th,late December),with an annual average of 1.34°C,Summer and Autumn season is better than Spring and Winter results.Compared with the distributed temperature simulation model,the ten-dimensional average temperature estimation model can better attenuate the temperature fluctuation.2.The simulation results of the two methods were verified by the altitude difference.The altitude difference between the encryption station and the statistical results of the MABE showed that when the altitude difference was >50m,the MABE was generally too large and decreased with the altitude difference,the results of MABE showed a downward trend.When the altitude difference was less than 10 m,the average MABE result reached the minimum,indicating the station elevation and the extraction station height caused by DEM accuracy and site locate accuracy is an important source of error in the simulation of the average temperature.3.The spatial and temporal distribution of average temperature in Fujian Province: spatially,the macroscopically shows that the temperature increases with the decrease of latitude and decreases with the elevation;in the time dimension,the temperature change is a stable process,which is related to the existing research results.In some local areas,due to the elevation of the sun's elevation angle,terrain and other reasons,the temperature between the sunny slope and the shady slope is higher than the shady slope on the sunny slope,and the influence of the slope on the temperature is the strongest in winter.The summer is the weakest.The influence of terrain factor on temperature has a significant relationship with latitude,altitude and slope.The specific performance is latitude,the higher the altitude,the greater the slope,and the more obvious the influence of terrain on temperature.