中国2000–2020年积雪反照率遥感产品

A dataset of the remote sensing product of snow cover albedo over China during 2000–2020

积雪反照率是积雪反射能量与入射能量的比值,它量化了大气与积雪之间的辐射相互作用,在局部或全球能量收支平衡中有着重要意义。本文基于渐近辐射传输模型发展了适应中国区域积雪特点的反照率反演算法,以MODIS地表反射率产品作为输入,生产了中国2000–2020年积雪反照率的逐日和八天合成去云的遥感产品。利用多种地面站点和样方的积雪反照率观测数据,对产品开展综合验证分析,结果表明产品的均方根误差、相关系数、平均偏差均优于国际同类产品。产品可为我国积雪资源分布调查提供数据支持,满足我国辐射、气候、环境、生态等相关研究的应用需求。

Snow cover albedo is the ratio of reflected energy to the incident energy of snow,which quantifies the radiation interaction between atmosphere and snow,playing an important role in the local or global energy balance.This study develops a snow albedo inversion algorithm based on the asymptotic radiative transfer model to adapt to the characteristics of snow cover in China.We used MODIS surface reflectance product as the input to produce the daily and 8-day composited cloud-removal product of snow albedo over China during 2000–2020.The accuracy of the product was verified comprehensively based on the multi-source snow albedo data of ground stations and quadrat observations.The results show that the root mean square error,correlation coefficient,and mean deviation of the product are better than other like international products.The product can provide data support for the survey of snow cover resources over China,and meet the application needs of relative studies,e.g.,radiation,climate,environment,and ecology.