摘要
积雪反照率是影响地—气辐射能量平衡的重要地表参数之一。结合青藏高原的积雪消融特点,研究了2018年2~3月青藏高原28个观测点的反照率空间差异,并分析了影响反照率的表层积雪参数,结果表明:融雪期青藏高原的积雪反照率均值为0.72,高原东北部的青海地区观测点的反照率均值高于西藏南部地区,不同区域积雪反照率值内部差异不同;西藏南部地区的水汽来源和较快的积雪消融过程导致该区域反照率低于青海地区;地表被斑状雪覆盖的观测点具有较低的反照率值(小于0.5);多云天气条件下,短时间的云层遮挡对反照率影响很小,积雪反照率几乎保持不变。
Snow albedo is one of the important surface parameters affecting the balance of ground-air radiation energy.Based on the characteristics of snow deposition in the Qinghai-Tibet Plateau,this paper studies the spa⁃tial differences of albedo from 28 observation points in the Qinghai-Tibet Plateau from February to March 2018,and analyzes the surface snow parameters affecting the albedo.The results show that during the snow⁃melt period of the Qinghai-Tibet Plateau,the average albedo of snow cover is 0.72.The albedo of the observa⁃tion points in Qinghai area of the northeastern part of the plateau is higher than that in southern Tibet.The inter⁃nal differences of snow albedo in different areas are different.The source of water vapor in southern Tibet and the faster snow melting process leads to the albedo in this area being lower than that in Qinghai.The observation points covered by patchy snow on the surface have lower albedo values(less than 0.5).In cloudy weather,short-term cloud occlusion has little effect on albedo,which remains almost unchanged.
作者
张正
肖鹏峰
张学良
冯学智
杨永可
胡瑞
盛光伟
刘豪
Zhang Zheng;Xiao Pengfeng;Zhang Xueliang;Feng Xuezhi;Yang Yongke;Hu Rui;Sheng Guangwei;Liu Hao(Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology,Key Laboratory for Satellite Mapping Technology and Applications of State Administration of Surveying,Mapping and Geoinformation of China,Department of Geographic Information Science,School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 210023,China)
出处
《遥感技术与应用》
CSCD
北大核心
2019年第6期1146-1154,共9页
Remote Sensing Technology and Application
基金
国家科技基础资源调查专项课题(2017FY100502)
国家自然科学基金项目(41671344)
关键词
青藏高原
融雪期
积雪反照率
空间差异
影响因素
Qinghai-Tibet Plateau
Snowmelt period
Snow albedo
Spatial difference
Influencing factors