Validation of the semi-analytical algorithm for estimating vertical underwater visibility using MODIS data in the waters around Korea

Abstract

As a standard water clarity variable, the vertical underwater visibility, called Secchi depth, is estimated with ocean color satellite data. In the present study, Moderate Resolvtion Imaging Spectradiometer (MODIS) data are used to measure the Secchi depth which is a useful indicator of ocean transparency for estimating the water quality and productivity. To estimate the Secchi depth Zv , the empirical regression model is developed based on the satellite optical data and in-situ data. In the previous study, a semi-analytical algorithm for estimating Zv was developed and validated for Case 1 and 2 waters in both coastal and oceanic waters using extensive sets of satellite and in-situdata. The algorithm uses the vertical diffuse attenuation coefficient, Kd (m-1) and the beam attenuation coefficient, c(m-1 ) obtained from satellite ocean color data to estimate Zv. In this study, the semi-analytical algorithm is validated using temporal MODIS data and in-situ data over the Yellow, Southern and East Seas including Case 1 and 2 waters. Using total 156 matching data, MODIS Zv data showed about 3.6m RMSE value and 1.7m bias value. The Zv values of the East Sea and Southern Sea showed higher RMSE than the Yellow Sea. Although the semi-analytical algorithm used the fixed coupling constant (= 6.0) transformed from Inherent Optical Properties (IOP) and Apparent Optical Properties (AOP) to Secchi depth, various coupling constants are needed for different sea types and water depth for the optimum estimation of Zv