Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-1009-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-1009-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

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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.
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