Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Ridolfi, Marco; Tirelli, Cecilia; Ceccherini, Simone; Belotti, Claudio; Cortesi, Ugo; Palchetti, Luca

doi:https://doi.org/10.5194/amt-15-6723-2022

Articles | Volume 15, issue 22

https://doi.org/10.5194/amt-15-6723-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-6723-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 22

Research article

|

22 Nov 2022

Research article |

| 22 Nov 2022

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Marco Ridolfi, Cecilia Tirelli, Simone Ceccherini, Claudio Belotti, Ugo Cortesi, and Luca Palchetti

Supplement

https://doi.org/10.5194/amt-15-6723-2022-supplement

Data sets

Reference atmospheres, surface and instrument data used in the test experiments presented in Ridolfi et al. 2022 (doi.org/10.5194/amt-2022-82) Marco Ridolfi, Cecilia Tirelli, Simone Ceccherini, Claudio Belotti, Ugo Cortesi, and Luca Palchetti https://doi.org/10.5281/zenodo.7221069

Short summary

Synergistic retrieval (SR) and complete data fusion (CDF) methods exploit the complementarity of coinciding remote-sensing measurements. We assess the performance of the SR and CDF methods on the basis of synthetic measurements of the FORUM and IASI-NG missions. In the case of perfectly matching measurements, SR and CDF results differ by less than 1 / 10 of the error due to measurement noise. In the case of a realistic mismatch, the two methods show differences in the order of their error bars.