ShyBFM v1.0: unstructured grid advection-diffusion-reaction modelling for coastal biogeochemical processes
- 1CMCC Foundation - Euro-Mediterranean Center on Climate Change (Lecce, Italy)
Abstract
This study presents ShyBFM, a high-resolution coupled physical–biogeochemical modelling system based on an unstructured grid. The physical component is the parallel computing finite element, ocean circulation model SHYFEM-MPI, while the marine ecosystem is described through the Biogeochemical Flux Model (BFM) which resolves the coupled pelagic and benthic lower trophic level interactions. The unstructured grid framework enables an accurate representation of complex coastal geometries while maintaining the influence of larger-scale dynamics through open boundary conditions. The numerical implementation of the model coupling is described, including the treatment of lateral and surface boundary conditions, and its application is illustrated through a reference case study. Model validation is performed for a coastal region of the northern Adriatic Sea (Mediterranean Sea), nested within an existing large-scale coupled physical–biogeochemical model that provides initial and lateral boundary conditions and serves as a calibration and validation benchmark. Simulated biogeochemical tracers from both the large-scale model and ShyBFM are compared against observational climatology. Results indicate that ShyBFM successfully reproduces the seasonal variability of key biogeochemical variables, exhibiting enhanced temporal variability and improved skill scores relative to the coarser-resolution model, although some limitations remain to be addressed. ShyBFM constitutes a robust and flexible tool for investigating interactions between physical dynamics and biogeochemical processes in coastal environments, which are strongly constrained by geomorphology, bathymetry, and riverine inputs. As such, ShyBFM is particularly well suited for applications supporting coastal management and environmental assessment.
Versions
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BibTeX
@article{alessandri2026shybfm,
title = {{ShyBFM v1.0: unstructured grid advection-diffusion-reaction modelling for coastal biogeochemical processes}},
author = {Jacopo Alessandri and Giulia Bonino and Tomas Lovato and Momme Butenschön and Lorenzo Mentaschi and Giorgia Verri and Ivan Federico and Nadia Pinardi},
journal = {Geoscientific Model Development},
year = {2026},
month = oct,
doi = {10.5194/gmd-19-9301-2026},
url = {https://gmd.copernicus.org/articles/19/9301/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - ShyBFM v1.0: unstructured grid advection-diffusion-reaction modelling for coastal biogeochemical processes
AU - Jacopo Alessandri
AU - Giulia Bonino
AU - Tomas Lovato
AU - Momme Butenschön
AU - Lorenzo Mentaschi
AU - Giorgia Verri
AU - Ivan Federico
AU - Nadia Pinardi
PY - 2026
DA - 2026/10/02
JO - Geoscientific Model Development
DO - 10.5194/gmd-19-9301-2026
UR - https://gmd.copernicus.org/articles/19/9301/2026/
AB - This study presents ShyBFM, a high-resolution coupled physical–biogeochemical modelling system based on an unstructured grid. The physical component is the parallel computing finite element, ocean circulation model SHYFEM-MPI, while the marine ecosystem is described through the Biogeochemical Flux Model (BFM) which resolves the coupled pelagic and benthic lower trophic level interactions. The unstructured grid framework enables an accurate representation of complex coastal geometries while maintaining the influence of larger-scale dynamics through open boundary conditions. The numerical implementation of the model coupling is described, including the treatment of lateral and surface boundary conditions, and its application is illustrated through a reference case study. Model validation is performed for a coastal region of the northern Adriatic Sea (Mediterranean Sea), nested within an existing large-scale coupled physical–biogeochemical model that provides initial and lateral boundary conditions and serves as a calibration and validation benchmark. Simulated biogeochemical tracers from both the large-scale model and ShyBFM are compared against observational climatology. Results indicate that ShyBFM successfully reproduces the seasonal variability of key biogeochemical variables, exhibiting enhanced temporal variability and improved skill scores relative to the coarser-resolution model, although some limitations remain to be addressed. ShyBFM constitutes a robust and flexible tool for investigating interactions between physical dynamics and biogeochemical processes in coastal environments, which are strongly constrained by geomorphology, bathymetry, and riverine inputs. As such, ShyBFM is particularly well suited for applications supporting coastal management and environmental assessment.
SN - 1991-9603
ER -