Assessment of Normalized Water-Leaving Radiance Derived from GOCI Using AERONET-OC Data

The geostationary ocean color imager (GOCI), as the world’s first operational sensor, is aiming at monitoring short-term and small-scale changes of waters over northwestern Pacific Ocean. Before assessing its capability detecting subdiurnal seawater properties, a fundamental understanding uncertainties normalized water-leaving radiance (nLw) products introduced by atmospheric correction algorithms necessarily required. This paper presents accessing GOCI-derived nLw generated two commonly used algorithms, Korea Ocean Satellite Center (KOSC) standard algorithm adopted in GOCI Data Processing System (GDPS) NASA implemented Sea-Viewing Wide Field-of-View Sensor Analysis (SeaDAS/l2gen package), with Aerosol Robotic Network Color (AERONET-OC) provided data. data acquired from sensor based on four AERONET-OC sites Ariake, Ieodo, Socheongcho, Gageocho October 2011 to March 2019 were obtained, matched, analyzed. GDPS-generated are slightly better than that SeaDAS visible bands; however, mean percentage relative errors for both blue bands 30%. derived GDPS quality clear turbid water, although underestimation observed near-infrared (NIR) band (865 nm) water. underestimated worsens toward short bands. Moreover, perform noon (02 03 Universal Time Coordinated (UTC)), worse early morning late afternoon. It speculated measurements arose aerosol models, NIR method, bidirectional reflectance distribution function (BRDF) method corresponding procedure.