Articles | Volume 11, issue 2
Research article
20 Feb 2018
Research article |  | 20 Feb 2018

Importance of interpolation and coincidence errors in data fusion

Simone Ceccherini, Bruno Carli, Cecilia Tirelli, Nicola Zoppetti, Samuele Del Bianco, Ugo Cortesi, Jukka Kujanpää, and Rossana Dragani


Total article views: 2,444 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,591 804 49 2,444 74 66
  • HTML: 1,591
  • PDF: 804
  • XML: 49
  • Total: 2,444
  • BibTeX: 74
  • EndNote: 66
Views and downloads (calculated since 24 Oct 2017)
Cumulative views and downloads (calculated since 24 Oct 2017)

Viewed (geographical distribution)

Total article views: 2,444 (including HTML, PDF, and XML) Thereof 2,371 with geography defined and 73 with unknown origin.
Country # Views %
  • 1


Latest update: 03 Oct 2023
Short summary
Data fusion is an important tool to reduce data volume and to improve data quality. This paper introduces a generalization of the complete data fusion method, which takes into account interpolation and coincidence errors. This upgraded algorithm extends the applicability of the technique to a wider range of cases. In fact, it also makes it possible to fuse vertical profiles of atmospheric parameters when they are represented on different altitude grids and refer to different true profiles.