Bias Assessment of NASA Team and ASI Summer Sea Ice Concentrations In The Chukchi Sea Using KOMPSAT-5 SAR

Abstract

Bias assessment of sea ice concentration (SIC) derived from passive microwave sensors is very important because it has been used as an important parameter for climate change research. In this study, we analyzed biases in SICs retrieved from NASA Team (NT) and Arctic Radiation and Turbulence Interaction STudy (ARTIST) Sea Ice (ASI) algorithm implemented for the Special Sensor Microwave Imager/Sounder (SSMIS) and Advanced Microwave Scanning Radiometer-2 (AMSR2), respectively, in the Chukchi Sea in summer using the Korea Multi-Purpose SATellite-5 (KOMPSAT-5) synthetic aperture radar images. The root mean square error of ASI SIC was smaller than that of NT SIC. The SIC values from the sea ice algorithms showed different biases by the KOMPSAT-5 SIC range due to different sensitivities to atmospheric effects and ice surface melting conditions.