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Data fusion analysis of Sentinel-4 and Sentinel-5 simulated ozone data
Tirelli, C.; Ceccherini, S.; Zoppetti, N.; Del Bianco, S.; Gai, M.; Barbara, F.; Cortesi, U.; Kujanpää, J.; Huan, Y.; Dragani, R. (2020). Data fusion analysis of Sentinel-4 and Sentinel-5 simulated ozone data. J. Atmos. Oceanic. Technol. 37(4): 573-587. https://hdl.handle.net/10.1175/JTECH-D-19-0063.1
In: Journal of Atmospheric and Oceanic Technology. American Meteorological Society: Boston, MA. ISSN 0739-0572; e-ISSN 1520-0426, more
Peer reviewed article  
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Authors  Top 
  • Tirelli, C.
  • Ceccherini, S.
  • Zoppetti, N.
  • Del Bianco, S.
  • Gai, M.
  • Barbara, F.
  • Cortesi, U.
  • Kujanpää, J.
  • Yu, H., more
  • Dragani, R.
Abstract
    The complete data fusion method, generalized to the case of fusing profiles of atmospheric variables retrieved on different vertical grids and referred to different true values, is applied to ozone profiles retrieved from simulated measurements in the ultraviolet, visible, and thermal infrared spectral ranges for the Sentinel-4 and Sentinel-5 missions of the Copernicus program. In this study, the production and characterization of combined low Earth orbit (Sentinel-5) and geostationary Earth orbit (Sentinel-4) fused ozone data is performed. Fused and standard products have been compared and a performance assessment of the generalized complete data fusion is presented. The analysis of the output products of the complete data fusion algorithm and of the standard processing using quality quantifiers demonstrates that the generalized complete data fusion algorithm provides products of better quality when compared with standard products.
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