Preprints
https://doi.org/10.5194/os-2020-108
https://doi.org/10.5194/os-2020-108

  25 Nov 2020

25 Nov 2020

Review status: a revised version of this preprint was accepted for the journal OS and is expected to appear here in due course.

Assessment of the spectral downward irradiance at the surface of the Mediterranean Sea using the OASIM ocean-atmosphere radiative model

Paolo Lazzari1, Stefano Salon1, Elena Terzić1, Watson W. Gregg2, Fabrizio D'Ortenzio3, Vincenzo Vellucci4, Emanuele Organelli3,5, and David Antoine6,3 Paolo Lazzari et al.
  • 1Oceanography Section, OGS – National Institute for Oceanography and Applied Geophysics, Via Beirut 2-4, 34151, Trieste, Italy
  • 2Global Modeling and Assimilation Office, NASA/Goddard Space Flight Center, Greenbelt, MD 20771, United States
  • 3Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, France
  • 4Sorbonne Université, CNRS, Institut de la Mer de Villefranche, IMEV, F-06230, Villefranche-sur-Mer, France
  • 5Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via Fosso del Cavaliere 100, 00133 Rome, Italy
  • 6Remote Sensing and Satellite Research Group, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6845, Australia

Abstract. A multiplatform assessment of the Ocean–Atmosphere Spectral Irradiance Model (OASIM) radiative model focussed on the Mediterranean Sea is presented. BOUée pour l'acquiSition d'une Série Optique à 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 (r) between the data and model are always higher than 0.6. At the scale of the BOUSSOLE sampling (15-minute temporal resolution), the root mean square difference (RMSD) oscillates at approximately 30~40 % of the averaged model output and is reduced to approximately 10 % when the daily variability is filtered out. Both BOUSSOLE and BGC-Argo indicate that the bias is high for the irradiance at 412 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 and seasonality. High skills are observed during summer when the cloud cover is low.

Paolo Lazzari et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Paolo Lazzari et al.

Paolo Lazzari et al.

Viewed

Total article views: 462 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
384 71 7 462 6 4
  • HTML: 384
  • PDF: 71
  • XML: 7
  • Total: 462
  • BibTeX: 6
  • EndNote: 4
Views and downloads (calculated since 25 Nov 2020)
Cumulative views and downloads (calculated since 25 Nov 2020)

Viewed (geographical distribution)

Total article views: 440 (including HTML, PDF, and XML) Thereof 438 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Apr 2021
Download
Short summary
Multi-spectral optical sensors and models are increasingly adopted to study marine systems. In this work, BOUSSOLE mooring and biogeochemical Argo float optical observations are combined with the Ocean–Atmosphere Model (OASIM) to analyse the variability of sunlight at the sea surface. We show that the model skill in simulating data varies according to the wavelength of light and temporal scale considered, and that is significantly affected by cloud dynamics.