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

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Cited articles

Agócs, T., Vanin, F., Laberinti, P., Oetjen, H., Serlenga, D., Sole, M. P., Salenc, C., Lamarre, D., Kaspers, M., Rodrigues, G., Carou, A. M., Strotmann, S., Copano, M., Lippa, M., and Morini, C.: Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) – System Overview and Key Technology Developments of ESA's 9th Earth Explorer, in: IGARSS 2022 – 2022 IEEE International Geoscience and Remote Sensing Symposium, 7186–7189,, 2022. a
Aires, F., Aznay, O., Prigent, C., Paul, M., and Bernardo, F.: Synergistic multi-wavelength remote sensing versus a posteriori combination of retrieved products: Application for the retrieval of atmospheric profiles using MetOp-A, J. Geophys. Res.-Atmos., 117, D18,, 2012. a, b
Amato, U., Masiello, G., Serio, C., and Viggiano, M.: The σ-IASI code for the calculation of infrared atmospheric radiance and its derivatives, Environ. Model. Softw., 17, 651–667,, 2002. a
Andrey-Andrés, J., Fourrié, N., Guidard, V., Armante, R., Brunel, P., Crevoisier, C., and Tournier, B.: A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder, Atmos. Meas. Tech., 11, 803–818,, 2018. a
Ben-Yami, M., Oetjen, H., Brindley, H., Cossich, W., Lajas, D., Maestri, T., Magurno, D., Raspollini, P., Sgheri, L., and Warwick, L.: Emissivity retrievals with FORUM's end-to-end simulator: challenges and recommendations, Atmos. Meas. Tech., 15, 1755–1777,, 2022. a
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.