DEVELOPMENT OF A PHYSICAL ANALYSIS DATABASE FOR ISE BAY USING REGIONAL COASTAL DATA ASSIMILATION

Abstract

 There is a growing demand for the development of an analysis database for aquatic environment studies that integrates observed data and numerical simulation results using data assimilation techniques. Such a database would contribute to the analysis of current water temperature and salinity distributions in both coastal and estuarine areas. In this study, we have developed a physical quantity analysis database for Ise Bay by assimilating observed water temperature and salinity data into the numerical simulation results of currents using a regional coastal data assimilation method based on the ensemble Kalman filter. The database covers 12 years from 2011 to 2022. The root mean square error of water temperature and salinity in the analysis database was 0.7°C and 2.2, respectively, in the surface layer of the inner part of Ise Bay, representing an improvement of 0.7°C and 1.0 when compared to the numerical simulation results. This database enables users to analyze specific events of interest in the aquatic environment of Ise Bay.