{"references": ["Huang, X., Chen, X., Zhou, D. K., and Liu, X.: An Observationally Based Global Band-by-Band Surface Emissivity Dataset for Climate and Weather Simulations, Journal of the Atmospheric Sciences, 73, 3541 \u2013 3555, https://doi.org/10.1175/JAS-D-15-0355.1, 2016", "Hersbach, H, Bell, B, Berrisford, P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020; 146: 1999\u2013 2049. https://doi.org/10.1002/qj.3803", "Ridolfi, M., Tirelli, C., Ceccherini, S., Belotti, C., Cortesi, U., and Palchetti, L.: Synergistic retrieval and Complete Data Fusion methods applied to FORUM and IASI-NG simulated measurements, Atmos. Meas. Tech. Discuss. [preprint], https://doi.org/10.5194/amt-2022-82, in review, 2022"]}

The supplied archive includes a set of ASCII files defining the reference atmospheric and surface states that are the basis of the simulation experiments presented in the paper of Ridolfi et al. 2022 (doi.org/10.5194/amt-2022-82). Along with atmospheric and surface data, we also supply the seasonal variability and mismatch errors used in the test experiments presented in that paper, the noise error covariance matrices anticipated for FORUM and IASI-NG spectra, and some details of the retrieval setup. The archive includes a README file summarizing the contents of the various files provided.