Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model

Area of Science:

• Oceanography
• Remote Sensing
• Phytoplankton Ecology

Background:

• Paired measurements of phytoplankton absorption and backscatter are rare, hindering ocean color remote sensing data interpretation.
• Phytoplankton inherent optical properties are vital for understanding marine primary production and biogeochemical cycles.

Purpose of the Study:

• To generate a comprehensive dataset of phytoplankton-specific absorption, scatter, and backscatter properties.
• To provide a tool for improving ocean color remote sensing algorithms using hyperspectral data.

Main Methods:

• Utilized first principles and measured in vivo pigment absorption.
• Employed a validated semi-analytical coated sphere model to simulate optical properties.
• Integrated optical properties over phytoplankton size distributions at high spectral resolution.

Main Results:

• Developed a dataset for 17 distinct phytoplankton groups, including Chlorophyll a (Chl a)-specific properties.
• Simulated biophysically consistent phytoplankton optical properties across a wide spectral range.
• Included model code for user access to wavelength-dependent, angularly resolved scattering functions.

Conclusions:

• The generated optically coherent dataset supports the development of advanced algorithms for hyperspectral satellite radiometry.
• This resource facilitates better exploitation of new-generation ocean color remote sensing data.
• Enables improved understanding of phytoplankton's role in marine ecosystems through optical property characterization.