| Summary: | Summary : In the context of climate change, the sea ice albedo feedback mechanism makes the albedo of Antarctic sea ice a crucial element in polar environmental evolution and global climate models. Existing albedo products for Antarctic sea ice are limited, with a coarse spatiotemporal resolution, and numerous data gaps due to persistent cloud cover. This study uses the Multiband ReflectanceIteration (MBRI) algorithm, which retrieves the Antarctic sea ice albedo using reflectance data from the Visible InfraredImaging Radiometer Suite (VIIRS). Moreover, the study reconstructs the albedo of cloudy-sky pixels by integrating spatiotemporal information and physical models. A new 1 km daily seamless albedo product for Antarctic sea ice has been developed, covering the period from 2012 to 2021. The results, validated against the automatic weather stations data from the Baseline Surface Radiation Network (BSRN), reveal that the proposed product has higher accuracy, finer spatiotemporal resolution, and superior spatial continuity compared to existing products. The algorithms used fully account for the anisotropy of the sea ice surface, and the high spatiotemporal resolution enables this dataset to enable quantitative analysis of both overall and localized Antarctic sea ice changes. This dataset is valuable for studying the radiation balance of Antarctic sea ice and conducting research in climate modeling. Spatial resolution : 1 km Temporal resolution : daily (2012-2021) Format : GeoTIFF Projection : This dataset adopts Sinusoidal projection and is gridded using the MODIS Sinusoidal Tile Grid How to name and use data files : The file name is "Antarctic_Sea_Ice_Albedo_ {yyyyddd}_ {hv}_v01.tif ”, where yyyy represents year, ddd represents day of the year, hv represents the number of the tile, and v01 represents the version v1. The dataset has a longitude range of 180°W to 180°E and a latitude range of 50°S to 80°S, covering 53 tiles (v14: h06~h29; v15: 09~h26; V16: h11~h17, h21~h24). For example, ...
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