Coupling ecological concepts with an ocean-colour model: inversion modelling

Sun, X, Brewin, RJW, Sathyendranath, S, Dall’Olmo, G, Antoine, D, Barlow, R, Bracher, A, Kheireddine, M, Li, M, Pitarch, J, Raitsos, DE, Shen, F, Tilstone, GH, Vellucci, V and Zhang, Y 2026 Coupling ecological concepts with an ocean-colour model: inversion modelling. Frontiers in Remote Sensing, 6. 10.3389/frsen.2025.1692306

[thumbnail of Sun_etal_frsen_2026.pdf]
Preview
Text
Sun_etal_frsen_2026.pdf - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview
Official URL: https://doi.org/10.3389/frsen.2025.1692306

Abstract/Summary

Monitoring phytoplankton from space can help detect shifts in marine ecosystems, particularly under accelerating climate change. However, most existing ocean-colour chlorophyll-a (Chl-a) algorithms are empirical in nature, and do not explicitly consider any potential optical effects of shifts in phytoplankton community composition independent of a change in Chl-a. Similar ocean-colour signals may arise from different combinations of Chl-a and phytoplankton community composition. Revealing how phytoplankton are responding to environmental change using satellite data requires tackling this ambiguity. In previous work, we developed an Ocean Colour Modelling Framework (OCMF) to simulate ocean colour for varying Chl-a and phytoplankton size classes (PSCs). Here, we invert the OCMF to directly retrieve Chl-a, key inherent optical properties (IOPs), and PSCs, from satellite remote sensing reflectance and sea surface temperature (SST), accounting for deviations in non-algal particles (NAP) and coloured dissolved organic matter (CDOM) from assumed open ocean relationships with Chl-a. The model is validated using a global in situ dataset and shows stable performance across diverse oceanic conditions. Integrating ecological concepts into a bio-optical model may advance our ability to interpret long-term changes in phytoplankton community structure from space.

Item Type: Publication - Article
Additional Keywords: chlorophyll-a concentration, climate change, inherent optical properties, inversion model, ocean colour modelling framework, phytoplankton size classes, remote sensing reflectance
Divisions: Plymouth Marine Laboratory > National Capability categories > Atlantic Meridional Transect
Depositing User: S Hawkins
Date made live: 24 Mar 2026 12:05
Last Modified: 24 Mar 2026 12:05
URI: https://plymsea.ac.uk/id/eprint/10592

Actions (login required)

View Item View Item