Retrieval of surface and atmospheric parameters from high resolution infrared sensors

Italia De Feis, Fabio Della Rocca, Giuliano Liuzzi, Guido Masiello, Pamela Pasquariello and Carmine Serio

Mathematics and Computers in Simulation (MATCOM), 2026, vol. 239, issue C, 950-966

Abstract: To retrieve surface and atmospheric temperature profiles, together with trace species concentrations is a fundamental challenge in numerical weather prediction and Earth monitoring. Over the last 20 years, the development of high-resolution infrared sensors on board Earth observation satellites has opened new remote sensing opportunities, providing an unprecedented source of information. However, infrared sensors cannot probe into thick cloud layers, rendering their observations insensitive to surface under cloudy conditions. This results in spatial fields flagged with missing data, disrupting the continuity of inferred information and hindering accurate modeling of energy fluxes between the surface and the atmosphere. Consequently, advanced interpolation techniques and spatial statistics are essential to process the available (very large) data sets and produce satellite products on a regular grid mesh.

Keywords: Satellite infrared sensors; Radiative transfer equation; Regularization; Spatial interpolation (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:239:y:2026:i:c:p:950-966

DOI: 10.1016/j.matcom.2025.07.066

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