The Uncertainty Variation of Optical Properties between Different Water Classes Based on QA

Shuai Zhang, University of Massachusetts Boston, School for the Environment, Boston, United States, Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States and Jianwei Yang, NOAA/NESDIS/STAR, College Park, MD, United States
Apparent optical properties (AOPs) and inherent optical properties (IOPs) are vital products of ocean color remote sensing. Since these parameters are required for satellite calibrations and bio-optical algorithm developments, quality evaluations of AOPs and IOPs are critical. In this research, Valente’s dataset, PACE dataset and in-situ data collected during the VIIRS Cal/Val cruises were used. The overarching goal of this research is to produce a criterion of the IOPs and provide a promising quality evaluation system for in-situ measurements based on a novel quality assurance (QA) system. In particular, IOPs boundaries are designed for the 23 water classes according to a quality assurance (QA) system. Further, uncertainties of in-situ AOPs and IOPs in different water classes are illustrated and evaluated. These results show uncertainties of IOPs of the different water classes, which would let to improved quality control of measurements of IOPs.