Articles | Volume 11, issue 2
Atmos. Meas. Tech., 11, 1009–1017, 2018
https://doi.org/10.5194/amt-11-1009-2018
Atmos. Meas. Tech., 11, 1009–1017, 2018
https://doi.org/10.5194/amt-11-1009-2018
Research article
20 Feb 2018
Research article | 20 Feb 2018

Importance of interpolation and coincidence errors in data fusion

Simone Ceccherini et al.

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Latest update: 19 May 2022
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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.