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    Area of Science:

    • Ocean optics
    • Particle physics
    • Remote sensing

    Background:

    • Small particles (<10 μm) dominate ocean scattering and absorption due to their abundance.
    • Understanding the full particle size distribution (PSD) is crucial for accurate optical property predictions.
    • Current methods may not capture the full range of optically significant particle sizes.

    Purpose of the Study:

    • To develop an approach for quantifying the size range of particles significantly impacting inherent optical properties.
    • To numerically assess the variability in optically significant particle sizes for idealized populations.
    • To determine the minimum and maximum particle sizes necessary for accurate ocean optics predictions.

    Main Methods:

    • Numerical assessment using Mie theory predictions.
    • Modeling simplified particle populations with homogeneous, spherical particles and power-law size distributions.
    • Analyzing variability in optically significant particle sizes across different particle size distributions (PSDs).

    Main Results:

    • Predictions suggest a broad range of particle sizes (0.05–2000 μm) are necessary for accurate optical property and PSD relationship constraints.
    • Optically significant particle sizes vary depending on the specific particle size distribution.
    • The proposed method can identify key size classes within complex natural particle populations.

    Conclusions:

    • Accurate ocean optics requires considering a wide spectrum of particle sizes, from 0.05 to 2000 μm.
    • The presented approach allows for the quantification of optically significant particle size ranges for various PSDs.
    • This method facilitates better understanding and modeling of the relationship between particles and optical properties in marine environments.