A multiplatform assessment of the Ocean-Atmosphere Spectral Irradiance Model (OASIM) radiative model focussed on the Mediterranean Sea for the period 2004-2017 is presented. The BOUee pour l'acquiSition d'une Serie Optique a Long termE (BOUSSOLE) mooring and biogeochemical Argo (BGC-Argo) float optical sensor observations are combined with model outputs to analyse the spatial and temporal variabilities in the downward planar irradiance at the ocean-atmosphere interface. The correlations between the data and model are always higher than 0.6. With the exception of downward photosynthetic active radiation and the 670 nm channel, correlation values are always higher than 0.8 and, when removing the inter-daily variability, they are higher than 0.9. At the scale of the BOUSSOLE sampling (15 min temporal resolution), the root mean square difference oscillates at approximately 30 %-40% of the averaged model output and is reduced to approximately 10% when the variability between days is filtered out. Both BOUSSOLE and BGC-Argo indicate that bias is up to 20% for the irradiance at 380 and 412 nm and for wavelengths above 670 nm, whereas it decreases to less than 5% at the other wavelengths. Analysis of atmospheric input data indicates that the model skill is strongly affected by cloud dynamics. High skills are observed during summer when the cloud cover is low.

Assessment of the spectral downward irradiance at the surface of the Mediterranean Sea using the radiative Ocean-Atmosphere Spectral Irradiance Model (OASIM)

Paolo Lazzari
;
Stefano Salon;
2021

Abstract

A multiplatform assessment of the Ocean-Atmosphere Spectral Irradiance Model (OASIM) radiative model focussed on the Mediterranean Sea for the period 2004-2017 is presented. The BOUee pour l'acquiSition d'une Serie Optique a Long termE (BOUSSOLE) mooring and biogeochemical Argo (BGC-Argo) float optical sensor observations are combined with model outputs to analyse the spatial and temporal variabilities in the downward planar irradiance at the ocean-atmosphere interface. The correlations between the data and model are always higher than 0.6. With the exception of downward photosynthetic active radiation and the 670 nm channel, correlation values are always higher than 0.8 and, when removing the inter-daily variability, they are higher than 0.9. At the scale of the BOUSSOLE sampling (15 min temporal resolution), the root mean square difference oscillates at approximately 30 %-40% of the averaged model output and is reduced to approximately 10% when the variability between days is filtered out. Both BOUSSOLE and BGC-Argo indicate that bias is up to 20% for the irradiance at 380 and 412 nm and for wavelengths above 670 nm, whereas it decreases to less than 5% at the other wavelengths. Analysis of atmospheric input data indicates that the model skill is strongly affected by cloud dynamics. High skills are observed during summer when the cloud cover is low.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.14083/14424
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