由于地球各种运动和纬度的不同,使能量的分布在时间和空间上明显不均一,导致大气、海洋、冰雪层、陆地和生物发生重大变化。在某些时间尺度上,此种影响的重要性甚至超过太阳活动本身变化对于地球系统的影响。地表温度、地表反照率、潜热交换是刻划地 气系统能量交换的3个重要参数,以中国华北地区为例,将互补相关理论应用于遥感领域,应用NOAA/AVHRR气象卫星资料,对互补相关模式中所需的反照率、表面温度,完全应用遥感数据反演;对互补相关理论中涉及到的大尺度平流参数、Penman分式、辐射项等因子进行了订正,并将互补相关理论应用于流域、湖泊、区域农田蒸发的计算中。

Almost all the energy directly or indirectly comes from incident solar radiation on the earth. However, the difference of earth’s movement and latitude brings about unique distribution of energy in the temporal and spatial domains. As a results unique distribution of energy leads to great change among atmosphere, ocean, glacier/snow, land surface and creature. In some temporal scale, this kind of influencing significance even has exceeded the effect of the solar activity. In the transfer of mass, energy and momentum, because of the different physical characteristics and roles that land surface has played, it requires us to build up an accurate database of land surface type. A perfect transcendental knowledge is a precondition to derive surface albedo and temperature. Surface albedo and temperature describe the information of inner structure of vegetation, and distribution of energy. Ultimately, they decide how to distribute the energy and mass between the earth’s surface and atmospheric layers. Latent is an important parameter that describes the exchange of energy between land surface and atmosphere. Reliable estimates of latent are essential to significant improvements in the field of GCM. Complementary Relationship (CRAE) areal evapotranspiration models only need meteorological data in the process of calculating latent, some important meteorological data can be derived thorough satellite. Therefore, in this paper, CRAE is applied to the field of remote sensing. Some parameters that CRAE is required for example, surface albedo, temperature is derived completely from NOAA AVHRR data. Penman formula and large scale advection parameter are corrected through the measured data. Finally, farmland and inland water evaporation of North China is calculated by applying CR model.