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积雪是冰冻圈重要的组成部分,基于积雪消融量与气温之间显著的正线性关系假定建立的度日模型是模拟积雪消融量的有效工具。从经典度日模型、度日模型的改进(例如辐射数据的引入)、分布式度日模型以及遥感数据在度日模型中的应用等方面总结了2000-2016年度日模型的主要研究进展。同时,考虑到影响度日模型的关键参数和变量,系统总结了降水状态判断的温度阈值、度日因子、辐射系数的最新研究进展及其在度日模型中的使用。在变化环境下开展度日模型与遥感、GIS技术相结合的协同研究,是目前度日模型研究的主要方向。
Snow cover is an important part of the cryosphere. Based on the significant positive linear relationship between snow melt loss and air temperature, a hypothetical day model is an effective tool to simulate snow melt ablation. This paper summarizes the main research progress of the daily model from 2000 to 2016 in terms of the classic degree day model, the improvement of the degree-day model (such as the introduction of radiation data), the distributed degree day model and the application of remote sensing data in the degree-day model. At the same time, taking into account the key parameters and variables that affect the daily model, the latest research progress of the temperature threshold, daily factor and emissivity of precipitation status are summarized. It is the main direction of current daily model research to carry out the collaborative research of the degree-day model and remote sensing and GIS technology under the changing environment.