황해의 성층해역의 기초생산추산 모델

Abstract

Despite some efforts to get better estimation of the primary production of the Yellow Sea, there is still uncertainty in the estimates. Extreme range of the environmental factors through seasons makes the estimation difficult. The high variability in environmental characteristics calls for using satellite data for better estimation of the primary production of the Yellow Sea. To achieve the goal with reasonable accuracy using satellite data, there are many problems to resolve such as retrieval of chlorophyll, diffuse attenuation coefficient of PAR, and vertical structure of chlorophyll in water column, and estimation of physiological parameters. Here we analyzed 66 vertical profiles of chlorophyll-a obtained during March-August in 1994-2001 period. Using some relationships among parameters, we attempt to retrieve subsurface chlorophyll profiles only from KPAR (downwelling attenuation coefficient of PAR) and surface chlorophyll-a values. Although uncertainty was high in predicting accurate shape of the profiles (e.g., exact depth of subsurface chlorophyll maximum), fairly good estimation of depth-integrated primary production was made. We also compared the estimates with those from VGPM (vertically generalized production model). VGPM gave much higher estimates than simulated in-situ depth-integrated primary production. The discrepancy resulted from that PBopt from VGPM formulation had large errors compared with in-situ PBopt. Adjusted VGPM gave better results than original VGPM. But the depth-resolved model was better than the adjusted VGPM in terms of fitness and bias.