南极海冰与全球气候变暖不同步，呈微弱增加趋势，而且不同海区有较大的空间差异性。反照率的变化对南极海冰的热量交换有巨大的影响，进而对海冰密集度和海冰面积变化有着举足轻重的作用。以1981-2020年的AVHRR L1b数据为基础，经过定标和太阳高度校正、海冰边缘区混合像元的分解、窄波段到宽波段的反照率转换、各向异性校正、大气校正、云检测、对比验证等步骤的数据处理，开展反照率遥感反演方法的研究，建立南极海冰反照率数据库。用小波分析、Mann-Kendal、显著经验正交函数（DEOF）等方法，分析反照率的周期性变化规律、突变现象、长期变化趋势及其不同海区的空间差异。从海冰面积、太阳短波辐射、冰面长波辐射、表层海水温度、风速等多个方面，用主成分分析选择主要驱动影响因子，并与反照率做多元回归分析，探讨反照率变化的综合影响因素，进一步分析南极海冰反照率对局地大气环流和全球气候变化的影响。

Antarctic sea ice did not decrease, but slightly increased in the context of the global warming, but also it has large spatial difference. Albedo variation plays an important role in the heat exchange of Antarctic sea ice, moreover in sea ice concentration and sea ice area. On the basis of AVHRR L1b data from 1981 to 2020, by means of data processing including calibration and solar elevation angle correction, mixed pixel decomposition in the sea ice edge areas, conversion of narrow band reflectance to wide band albedo, Anisotropic correction, atmospheric correction, cloud detection, comparison and validation, and so on, albedo retrieval from remote sensing data is completed, and albedo database of Antarctic sea ice for a long time is established. Periodic rule, abrupt change, variation trend for a long time, and spatial difference in the different ocean regions are analyzed using methods such as wavelet analysis, Mann-Kendal test, and distinct empirical orthogonal function (DEOF). Based on the database such as sea ice area, solar shortwave radiation, surface longwave radiation, sea surface temperature, wind speed, and so on, main driving factors are selected by principal component analysis. The relations of these main driving factors and sea ice albedo are analyzed with multivariable linear regression model to attribute to the albedo variation, further to examine the impacts of albedo variation of Antarctic sea ice to the local atmosphere circulation and global climate change.