황해, 동중국해, 남해를 포함한 광역해양생태계(LMEs) 지역의 적합한 기초생산력 알고리즘 분석

Abstract

Despite many efforts to accurately estimate the global primary productivity from the satellite ocean color data, the uncertainty in the analytical algorithms still remains high at a range of temporal and spatial scale. Among the algorithmsof primary productivity applied to the Large Marine Ecosystems (LMEs), photosynthetic rate (P^B opt ), attenuation coefficient of photo-synthetically active radiation (PAR) associated with euphotic depth (Zeu), and sea surface chlorophyll-a concentration [SCHL] are found to be most important, yet its predictability still needs further refinement. Previously, we evaluated regional algorithms for the SSC and (P^B opt,) estimate. In this study, we assessed the Zeu algorithm using the in-situ data, which shows that Zeu also can be problematic. Global analysis of primary production is sometimes based on a set of standard algorithms of the three variables. Here, we conducted a comparison of primary productivity using different combinations of the three algorithms for Yellow Sea, East China Sea, and East Sea. Using the SeaWiFS, MODIS, and MERIS data (1998-2014), we conducted a comparative analysis of the following algorithms: OC4v4, OC4v6, andYOC algorithms for SCHL, BF-VGPM versus KI algorithm for P^B opt, and K490 versus QAA for Zeu. The estimate of primary productivity by different algorithm combinations can differ by more than 100 percent.thmsof primary productivity applied to the Large Marine Ecosystems (LMEs), photosynthetic rate (P^B opt ), attenuation coefficient of photo-synthetically active radiation (PAR) associated with euphotic depth (Zeu), and sea surface chlorophyll-a concentration [SCHL] are found to be most important, yet its predictability still needs further refinement. Previously, we evaluated regional algorithms for the SSC and (P^B opt,) estimate. In this study, we assessed the Zeu algorithm using the in-situ data, which shows that Zeu also can be problematic. Global analysis of primary production is sometimes based on a set of standard algorithms of the three variables. Here, we conducted a comparison of primary productivity using different combinations of the three algorithms for Yellow Sea, East China Sea, and East Sea. Using the SeaWiFS, MODIS, and MERIS data (1998-2014), we conducted a comparative analysis of the following algorithms: OC4v4, OC4v6, andYOC algorithms for SCHL, BF-VGPM versus KI algorithm for P^B opt, and K490 versus QAA for Zeu. The estimate of primary productivity by different algorithm combinations can differ by more than 100 percent.