3 papers
physics.ao-ph2026
Application of the latent twins approach for clear sky retrieval from IASI observations
Michele Martinazzo, Cristina Sgattoni, Marco Menarini +3
In recent years, data-driven approaches emerged as alternatives to traditional physics-based retrievals, taking advantage of machine learning techniques such as learnable pseudoinv…
physics.ao-ph2025
Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints
Chiara Zugarini, Cristina Sgattoni, Luca Sgheri
Cloud detection is fundamental for the interpretation and operational exploitation of hyperspectral infrared sounders, yet the capability of infrared radiances alone to provide rel…
stat.AP2024
Determination of emissivity profiles using a Bayesian data-driven approach
Luca Sgheri, Cristina Sgattoni, Chiara Zugarini
In this paper, we explore the determination of a spectral emissivity profile that closely matches real data, intended for use as an initial guess and/or a-priori information in a r…