We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Merging bio-optical data from Biogeochemical-Argo floats and models in marine biogeochemistry.
- Authors
Terzić, Elena; Lazzari, Paolo; Organelli, Emanuele; Solidoro, Cosimo; Salon, Stefano; D'Ortenzio, Fabrizio; Conan, Pascal
- Abstract
The present work is based on a dataset comprised of 31 Biogeochemical (BGC) Argo floats that collected 0-1000 m vertical profiles of biogeochemical and optical data from 2012 to 2016 in the Mediterranean Sea. The dataset was integrated in 1-dimensional model simulations following the trajectories of each float and considering measured photosynthetically available radiation (PAR) profiles as the reference light parameterization. The simulations were aimed to be consistent with data measured by float sensors, especially in terms of the deep chlorophyll maximum (DCM) depth. Moreover, we tested several light models in order to estimate their impact on modeled biogeochemical properties, including self-shading dynamics based on chlorophyll and colored dissolved organic matter (CDOM) concentrations. The results, evaluated with the corresponding in-situ BGC-Argo chlorophyll data, indicate that the proposed approach allows to properly simulate the chlorophyll dynamics and illustrate how PAR and vertical mixing are essential environmental regulation factors driving primary producers dynamics. The higher skills are reached using in-situ PAR, but some of the alternative bio-optical models here presented show comparable skill in reproducing DCM depth spatial variability. Simulation results show that during the stratification phase the diel cycle has significant impact on the surface chlorophyll regimes. The approach here presented serves as a computationally smooth solution to analyse BGC-Argo floats data and to corroborate hypotheses on their spatio-temporal variability.
- Subjects
BIOGEOCHEMISTRY; PHOTOSYNTHETICALLY active radiation (PAR); CHLOROPHYLL; ORGANIC compounds; SPATIOTEMPORAL processes
- Publication
Biogeosciences Discussions, 2018, p1
- ISSN
1810-6277
- Publication type
Article
- DOI
10.5194/bg-2018-307