Application of a coupled physic-biogeochemical model into the Northwestern Pacific

Abstract

In this study, a coupled 3D physico-biogeochemical model based on the POLCOMS and theERSEM models has been applied on the Northwestern pacific. The model grid is 1/10° horizontalresolution on a regular latitude-longitude and has 40 s-coordinate levels in the vertical. The model has been completed the past 10 years simulation from 1992 to 2001 after 3years spin-up. We try to validate for physical and ecological variables. The total volume transport through the Korea Strait, the Tsugaru Strait and the Soya Strait are calculated and the correlation coefficients of tidal amplitude between the observation and simulation are also calculated. And in biogeochemical model, nutrients such as nitrate, phosphate and silicate are compared with the WOA09(World Ocean Atlas 2009) and chlorophyll-a is compared with SeaWiFS satellite data. Also, as a measure of the model capability to catch seasonal change, we calculate the square of correlation coefficient(R2) and the average Cost Function(CF) using monthly climatology data for the temperature, salinity, nutrients and chlorophylla. In addition, numerical results are compared with the in-situ data carried out by the KIOST at st. M(129.098E, 34.790N) during 6 years. According to these validations, both models generally look reasonable. However, the model still has several problems like high chlorophyll-a concentration in winter at the East China Sea and southern East Sea and high oordinate levels in the vertical. The model has been completed the past 10 years simulation from 1992 to 2001 after 3years spin-up. We try to validate for physical and ecological variables. The total volume transport through the Korea Strait, the Tsugaru Strait and the Soya Strait are calculated and the correlation coefficients of tidal amplitude between the observation and simulation are also calculated. And in biogeochemical model, nutrients such as nitrate, phosphate and silicate are compared with the WOA09(World Ocean Atlas 2009) and chlorophyll-a is compared with SeaWiFS satellite data. Also, as a measure of the model capability to catch seasonal change, we calculate the square of correlation coefficient(R2) and the average Cost Function(CF) using monthly climatology data for the temperature, salinity, nutrients and chlorophylla. In addition, numerical results are compared with the in-situ data carried out by the KIOST at st. M(129.098E, 34.790N) during 6 years. According to these validations, both models generally look reasonable. However, the model still has several problems like high chlorophyll-a concentration in winter at the East China Sea and southern East Sea and high