The VIIRS Sea-Ice Albedo Product Generation and Preliminary Validation ...

• Main Authors: Peng, Jingjing, Yu, Yunyue, Yu, Peng, Liang, Shunlin
• Format: Text
• Language: English
• Published: MDPI 2018
• Subjects: albedo; sea ice; VIIRS; Arctic; PROMICE; GC-NET; validation; Climate change; Sea ice
• Online Access: https://dx.doi.org/10.13016/dspace/ld2r-7zal; https://drum.lib.umd.edu/handle/1903/31450

Ice albedo feedback amplifies climate change signals and thus affects the global climate. Global long-term records on sea-ice albedo are important to characterize the regional or global energy budget. As the successor of MODIS (Moderate Resolution Imaging Spectroradiometer), VIIRS (Visible Infrared Imaging Radiometer Suite) started its observation from October 2011 on S-NPP (Suomi National Polar-orbiting Partnership). It has improved upon the capabilities of the operational Advanced Very High Resolution Radiometer (AVHRR) and provides observation continuity with MODIS. We used a direct estimation algorithm to produce a VIIRS sea-ice albedo (VSIA) product, which will be operational in the National Oceanic and Atmospheric Administration’s (NOAA) S-NPP Data Exploration (NDE) version of the VIIRS albedo product. The algorithm is developed from the angular bin regression method to simulate the sea-ice surface bidirectional reflectance distribution function (BRDF) from physical models, which can represent ...