Work

Modeling underwater photosynthetically available radiation profiles from biogeochemical Argo floats using multi-spectral irradiance measurements

Year: 2025

Type: article

Abstract: Biogeochemical (BGC) Argo floats currently measure downwelling planar irradiance (Ed) at three spectral wavelengths (380, 443, and 490 nm) and photosynthetically available radiation (PAR) in the 400–700 nm range. In next-generation floats, replacing the PAR sensor with a 555 nm band is under consideration to enhance spectral resolution while still enabling accurate PAR reconstruction from the existing measurements. This study proposes a General Additive Model (GAM) to estimate PAR at any given depth (z) from just below the surface (z = 0 m) to 200 m using Ed at 380, 443, 490, and 555 nm. The model coefficients are functions of z, and the possibility of introducing chlorophyll concentration ([Chl]) as an extra parameter is also evaluated. Theoretical simulations conducted under diverse environmental conditions show that PAR(z) can be estimated with high accuracy. When using depth as the sole explanatory variable, the estimate bias ranges from 0 to -0.59 µE/m2/s and root mean square deviations (RMSD) between 0.01 and 8.23 µE/m2/s. Percent bias is near-zero across all depths with slightly elevated values near the surface and around 200 m, i.e., -0.2% and 0.5%, respectively. Relative RMSD is about 1-2% at the surface depths and gradually increases to about 8% at 200 m. Including [Chl] as an extra explanatory variable did not significantly improve model performance, probably attributed to the uncertainties in [Chl] measurements. Validation against various in-situ Ed profiles confirms the model’s robustness, i.e., with an overall model bias of -0.8% and an RMSD of 4.8% across 120,115 in-situ cases, accurately capturing near-surface variability and maintaining consistent performance, i.e., less than 10% relative error for PAR ranging from 103 to 10−2 µE/m2/s. Theoretical uncertainty of the PAR estimates was also quantified as a function of depth and estimated PAR, providing an uncertainty value for each estimate and showing good agreement with actual uncertainties. The proposed model benefits the BGC Argo program by expanding the Ed dataset within the photosynthetically active range and offering accurate PAR estimates across diverse environmental conditions.

Source: Optics Express

DOI: 10.1364/oe.566083

Authors: Jing Tan, Robert Frouin, Edouard Leymarie, B. Greg Mitchell

Institutions: Scripps Institution of Oceanography, Centre National de la Recherche Scientifique, Sorbonne Université, Laboratoire d’Océanographie de Villefranche

Language: English

Topic: Marine and coastal ecosystems

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Life below water, Climate action

Open Access status: gold

Estimated APC paid: $2,270