A model for partitioning the light absorption coefficient of suspended marine particles into phytoplankton and nonalgal components

TitleA model for partitioning the light absorption coefficient of suspended marine particles into phytoplankton and nonalgal components
Publication TypeJournal Article
Year of Publication2013
AuthorsZheng G.M, Stramski D
JournalJournal of Geophysical Research-Oceans
Volume118
Pagination2977-2991
Date Published2013/06
ISBN Number2169-9275
Accession NumberWOS:000324885500016
Abstract

 We developed a model for partitioning the spectral absorption coefficient of suspended marine particles, a(p)(), into phytoplankton, a(ph)(), and nonalgal, a(d)(), components based on the stacked-constraints approach. The key aspect of our model is the use of a set of inequality constraints that account for large variability in the a(ph)() and a(d)() coefficients within the world's oceans. The bounds of inequality constraints were determined from the analysis of a comprehensive set of 505 field determinations of absorption coefficients in various oceanic environments. The feasible solutions of the model are found by simultaneously satisfying all inequality constraints. The optimal solutions represented by the median values of feasible solutions for a(ph)() and a(d)() generally agree well with field measurements and are superior in terms of error statistics compared with previous partitioning models. For example, on the basis of comparisons of optimal model solutions with field determinations of absorption coefficients, the systematic error calculated as the median ratio of model-derived to measured values for both a(ph)(443) and a(d)(443) is within 1% for our model. The random error represented by the mean absolute percent difference for a(ph)(443) and a(d)(443) is <5% and <20%, respectively. This study suggests that our model has the potential for successful applications with input data of a(p)() which can be collected from various oceanographic platforms.

Short TitleJ Geophys Res-Oceans
Integrated Research Themes: 
Student Publication: 
No
sharknado