Developments of the σ-IASI/F2N radiative transfer model: a new linear-in-T approach for accurate treatment of clouds

Guido Masiello; Carmine Serio; Giuliano Liuzzi; Pamela Pasquariello; Rocco Giosa; Tiziano Maestri; Michele Martinazzo; Fabrizio Masin; Lorenzo Cassini; Federico Donat; Giorgia Proietti Pelliccia; Sara Venafra; Luca Sgheri; Francesco De Cosmo

doi:10.1117/12.3031533

20 November 2024 Developments of the σ-IASI/F2N radiative transfer model: a new linear-in-T approach for accurate treatment of clouds

Guido Masiello, Carmine Serio, Giuliano Liuzzi, Pamela Pasquariello, Rocco Giosa, Tiziano Maestri, Michele Martinazzo, Fabrizio Masin, Lorenzo Cassini, Federico Donat, Giorgia Proietti Pelliccia, Sara Venafra, Luca Sgheri, Francesco De Cosmo

Author Affiliations +

Proceedings Volume 13193, Remote Sensing of Clouds and the Atmosphere XXIX; 1319303 (2024) https://doi.org/10.1117/12.3031533
Event: Remote Sensing, 2024, Edinburgh, United Kingdom

Abstract

The new σ-IASI/F2N radiative transfer model is an advancement of the σ-IASI model, introduced in 2002. It enables rapid simulations of Earth-emitted radiance and Jacobians under various sky conditions and geometries, covering the spectral range of 3-100μm. Successfully utilized in δ-IASI, the advanced Optimal Estimation tool tailored for the IASI MetOp interferometer, its extension to the Far Infrared (FIR) holds significance for the ESA Earth Explorer FORUM mission, necessitating precise cloud radiative effect treatment, crucial in regions with dense clouds and temperature gradients. The model's update, incorporating the "linear-in-T" correction, addresses these challenges, complementing the "linear-in-tau" approach. Demonstrations highlight its effectiveness in simulating cloud complexities, with the integration of the "linear-in-T" and Tang correction for the computation of cloud radiative effects. The results presented will show that the updated σ-IASI/F2N can treat the overall complexity of clouds effectively and completely, at the same time minimizing biases.

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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Guido Masiello, Carmine Serio, Giuliano Liuzzi, Pamela Pasquariello, Rocco Giosa, Tiziano Maestri, Michele Martinazzo, Fabrizio Masin, Lorenzo Cassini, Federico Donat, Giorgia Proietti Pelliccia, Sara Venafra, Luca Sgheri, and Francesco De Cosmo "Developments of the σ-IASI/F2N radiative transfer model: a new linear-in-T approach for accurate treatment of clouds", Proc. SPIE 13193, Remote Sensing of Clouds and the Atmosphere XXIX, 1319303 (20 November 2024); https://doi.org/10.1117/12.3031533

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