Preprints
https://doi.org/10.5194/egusphere-2026-3657
https://doi.org/10.5194/egusphere-2026-3657
27 Jul 2026
 | 27 Jul 2026
Status: this preprint is open for discussion and under review for Biogeosciences (BG).

Physical‑Biogeochemical Coupling in the Baltic Sea: How Joint Assimilation of Chlorophyll‑a and SST Reshapes Thermal Structure and Ecosystem Representation 

Ye Liu and Weiwei Fu

Abstract. The coupled physical–biogeochemical dynamics of the Baltic Sea are challenging to simulate due to its complex bathymetry, strong stratification, and high optical turbidity. This study evaluates a multi-source data assimilation framework using a three-dimensional coupled model, comparing univariable (chlorophyll‑a only) and multivariable (chlorophyll‑a plus sea surface temperature) assimilation strategies. Our results quantify the vertical and dynamical limits of surface-constrained assimilation in stratified marginal seas. Satellite chlorophyll‑a assimilation markedly improves the spatial and seasonal representation of surface phytoplankton biomass, but in situ profiles are necessary to accurately reconstruct the subsurface chlorophyll maximum. Physical and biological constraints are complementary, and their joint assimilation yields a synergistic improvement, substantially reducing thermohaline biases and enhancing overall model consistency. Although chlorophyll‑a increases can modify subsurface heating through bio‑optical feedback, deep‑water oxygen profiles at monitoring stations remain insensitive to surface‑focused constraints and are governed instead by physical ventilation and remineralization. Crucially, the joint configuration provides a cross‑variable regularization that prevents noisy biological updates from degrading the physical state. These results demonstrate that, in optically complex marginal seas, joint physical–biogeochemical assimilation is essential to overcome the limitations of univariable frameworks and to ensure that surface observations translate into an accurate representation of the full water column.

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Ye Liu and Weiwei Fu

Status: open (until 07 Sep 2026)

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Ye Liu and Weiwei Fu
Ye Liu and Weiwei Fu
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Short summary
We evaluate a framework for the Baltic Sea that jointly assimilates sea surface temperature and chlorophyll from satellite and in situ observations into a model. Satellite chlorophyll improves surface phytoplankton, but profile data is needed to represent subsurface features. The improved representation of phytoplankton alters how light is absorbed in the water, modifying temperature structure and leading to improved oxygen distributions in well-oxygenated waters.
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