Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry

Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry

Blog Article

New autonomous robotic platforms for Construction of community life circle database based on high-resolution remote sensing technology and multi-source data fusion observing the ocean, i.e.Biogeochemical-Argo (BGC-Argo) floats, have drastically increased the number of vertical profiles of irradiance, photosynthetically available radiation (PAR), and algal chlorophyll concentrations around the globe independent of the season.

Such data may therefore be a fruitful resource to improve performances of numerical models for marine biogeochemistry.Here we present a work that integrates 1314 vertical profiles of PAR acquired by 31 BGC-Argo floats operated in the Mediterranean Sea between 2012 and 2016 into a one-dimensional model to simulate the vertical and temporal variability of algal chlorophyll concentrations.The model was initially forced with PAR measurements to assess its skill when using quality-controlled light profiles, and subsequently with a number of alternative bio-optical models to analyse the model capability when light observations are not available.

Model outputs were evaluated against co-located chlorophyll profiles measured by BGC-Argo floats.Results highlight that the data-driven model is able to reproduce the spatial and temporal variability of deep chlorophyll maxima depth observed at a number of Mediterranean sites well.Further, we illustrate the key role of PAR and vertical mixing in shaping the vertical dynamics of primary producers in the Mediterranean Sea.

The comparison of alternative bio-optical models identifies the best simple one to be used, and suggests that model Konsep Manajemen Pemasaran dalam Peningkatan Citra Lembaga Pendidikan simulations benefit from considering the diel cycle.