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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 12, issue 5
Atmos. Meas. Tech., 12, 2967–2977, 2019
https://doi.org/10.5194/amt-12-2967-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 2967–2977, 2019
https://doi.org/10.5194/amt-12-2967-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 May 2019

Research article | 29 May 2019

The cost function of the data fusion process and its application

Simone Ceccherini et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Simone Ceccherini on behalf of the Authors (30 Apr 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (07 May 2019) by Andre Butz
AR by Simone Ceccherini on behalf of the Authors (08 May 2019)  Author's response    Manuscript
Publications Copernicus
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Short summary
We have analytically calculated the expected value and the variance of the cost function that is minimized in the complete data fusion and propose a procedure that uses these quantities to constrain the values of the inconsistency covariance matrices. These matrices have to be added to the error covariance matrices of the measurements in order to fuse measurements that are inconsistent because of different vertical grids, not perfect time and space coincidence and different forward model errors.
We have analytically calculated the expected value and the variance of the cost function that is...
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