Research On Distributed Simulation Of Monthly Mean Air Temperature In Hebei Province

This paper put forward the distributed computing model for monthly average temperature over rugged terrains in Hebei province, based on former research results and the relationship between altitude, total solar radiation, effective Long-wave radiation and temperature. Then, this paper realized the distributed simulation of monthly average temperature over rugged terrains in Hebei province based on the observation data provided by meteorological stations in and around Hebei province. Finally,this paper put forward the spatial distribution map of temperature over rugged terrains in Hebei province with the resolution of100m×100m.By analyzing the spatial distribution of air temperature in Hebei province concludes that:1) Because of the flat geography, over the plateau and Hebei flat area, the influence of topography in somewhere is small, the feature of temperature zonal distribution is obvious, however, Yanshan range and Taihang mountains have complex geography, temperature is influenced much more by the topography, on the distribution map, the color tone is distinct, and it’s along the mountain range.2) Zhangjiakou has much basin and riverdale, the distribution of temperature is well-distributed and is higher than surrounding regions.3) Under the impact of foehn effect, the temperature over east of Taihang mountains is tower above1℃～2℃than other area in the same latitude in spring.We can draw conclusions by analysis local rule of the mountains area in41°N in Hebei:1) The temperature of mountains area is much effected by the topography, over the sloping fields on the same angle, the difference between shady slope and south-facing slope appears from big to small is January, October, April and July, and the most difference is in January.2) Between the gradient of0°～15°, the temperature difference between shady slope and south-facing slope is increase along with the gradient, it is extrude in January, and it is opposite in July.3) The difference of temperature between shady slope and south-facing slope is increase along with the increase of altitude, January is the most obvious.Through the error analysis of simulated result, reaches the conclusions:the monthly maximum simulation error is0.62℃, and the minimum is0.05℃, the annual average is no more than0.27℃.The absolute error of signal case in a year test is between0.02℃～0.63℃, the annual mean is no more than0.20℃.The absolute error of encryption station test is between0.07℃～0.81℃, the annual average is at most0.32℃. The square of the correlation coefficient of monthly mean(maximum and minimum)air temperature achieve0.966(0.957and0.964) between the simulation data and measured value of meteorological post. Error analysis and test results show that the distribution model of monthly mean air temperature which we established has great simulate precision, time and space simulate capability and mountain land expand function in Hebei province. The distribution model of monthly mean air temperature is based on the physical empirical statistical model of routine meteorological observation data, the physical significance is clear and it can be great applied.Hebei province has complex and various terrain with plateau, plain, mountainous region, basin and so on. Therefore, based on the research result, it has important realistic meaning and practical value to promote the research of heat resource analysis, agriculture meteorological disaster analysis, agriculture industrial restructuring, refine agroclimate regionalization, mountain land microclimate development-utilization and other aspects.