Presentation
20 October 2023 Parameterization of phytoplankton absorption in coastal waters around China
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Abstract
This study collects phytoplankton absorption and chlorophyll a data and examines their correlation in coastal waters around China measured between 2003 and 2017. Single-parameter model is built to construct phytoplankton absorption from pigment concentration. Gaussian decomposition technique extracts center wavelengths and bandwidths of 13 Gaussian functions, which constitute the modified Gaussian model, or so-called multiple-parameter model. Both models can reproduce measured phytoplankton absorption very well. In terms of the mean absolute relative error, single-parameter model can reproduce measured absorption within 30% and 60% between 380nm and 700nm for 40% and 75% of data, respectively. Meanwhile, multiple-parameter model can reproduce measured absorption within 15% for 80% of data, and within 20% for the majority of wavelengths between 380nm and 700nm.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tongji Lee, Jianhua Zhu, Bing Han, Hongli Zhou, Weiwei Li, Huping Ye, Xiaoqi Huang, and He Wang "Parameterization of phytoplankton absorption in coastal waters around China", Proc. SPIE 12728, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2023, 127280E (20 October 2023); https://doi.org/10.1117/12.2679700
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KEYWORDS
Absorption

Pigments

Data modeling

Chlorophyll

Coastal modeling

Optical properties

Performance modeling

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