论文部分内容阅读
利用Ｍｏｎｔｅ－Ｃａｒｌｏ（Ｍ－Ｃ）方法，模拟计算了自然地表红外辐射的统计特性．根据地表能量热平衡方程，选取短波吸收率、长波发射率、风速以及热传导率（对光裸地表而言）和气孔阻力（对植被型地表而言）为独立的随机变量，并假设它们均服从正态分布；给出了自然地表温度的概率分布，讨论了这些随机变量的空间起伏和环境条件对植被红外辐射统计特性的影响．研究表明，在这些随机变量中，短波吸收率和风速对自然地表红外辐射统计特性的影响最大．
Monte-Carlo (M-C) method was used to simulate the statistical properties of infrared radiation on the surface. According to the equation of surface energy heat balance, shortwave absorptivity, longwave emissivity, wind speed and thermal conductivity (for bare land surface) and stomatal resistance (for vegetation surface land) are selected as independent random variables and assume that they both obey positive The distribution of the surface temperature is given. The probability distribution of the natural surface temperature is given. The influence of the spatial fluctuation of these random variables and the environmental conditions on the statistical characteristics of vegetation infrared radiation is discussed. The results show that among these random variables, shortwave absorptivity and wind speed have the most significant impact on the statistical properties of infrared radiation on the Earth’s surface.