Advancements in sigma-IASI/f2n: efficient radiative transfer simulations for current and future cloud, atmosphere, and climate remote sensing infrared missions

This paper presents advancements in the σ-IASI/f2n radiative transfer model, developed under two Italian Space Agency projects to support Italy’s contribution to ESA’s Earth Explorer 9 mission. The model simulates spectrally resolved radiance and its analytical derivatives across 5–3000 cm−1, addressing key challenges in cloud and aerosol scattering, atmospheric inhomogeneity, and resolution scalability. A novel parameterization represents cloud and aerosol scattering via an apparent optical thickness, significantly accelerating calculations for high-resolution simulations. Additionally, the model introduces an innovative treatment of atmospheric layer inhomogeneity, improving realism in atmospheric representation. Enhanced scalability allows the model to adapt to various instrument resolutions and applications, making it a flexible tool for remote sensing studies involving clouds, atmospheric composition, and climate. These innovations enable accurate, efficient simulations tailored to diverse observational scenarios. The implications for hyperspectral infrared data analysis and remote sensing applications will be discussed.

Authors

Publication Details

Published
2025-10-29
DOI
https://doi.org/10.1117/12.3071780
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in sigma-IASI/f2n: efficient radiative transfer simulations for current and future cloud, atmosphere, and climate remote sensing infrared missions

Carmine Serio, Pamela Pasquariello, Guido Masiello, Giuliano Liuzzi et al.
Atmospheric aerosols and clouds
article

Advancements in sigma-IASI/f2n: efficient radiative transfer simulations for current and future cloud, atmosphere, and climate remote sensing infrared missions

Carmine Serio, Pamela Pasquariello, Guido Masiello, Giuliano Liuzzi, Michele Martinazzo, Sara Venafra, Tiziano Maestri, Federico Donat, Giorgia Proietti Pelliccia, Rocco Giosa, Marco D’Emilio, Lorenzo Cassini, Raffaele Inglese
article en

Abstract

This paper presents advancements in the σ-IASI/f2n radiative transfer model, developed under two Italian Space Agency projects to support Italy’s contribution to ESA’s Earth Explorer 9 mission. The model simulates spectrally resolved radiance and its analytical derivatives across 5–3000 cm−1, addressing key challenges in cloud and aerosol scattering, atmospheric inhomogeneity, and resolution scalability. A novel parameterization represents cloud and aerosol scattering via an apparent optical thickness, significantly accelerating calculations for high-resolution simulations. Additionally, the model introduces an innovative treatment of atmospheric layer inhomogeneity, improving realism in atmospheric representation. Enhanced scalability allows the model to adapt to various instrument resolutions and applications, making it a flexible tool for remote sensing studies involving clouds, atmospheric composition, and climate. These innovations enable accurate, efficient simulations tailored to diverse observational scenarios. The implications for hyperspectral infrared data analysis and remote sensing applications will be discussed.

Openalex Percentile: Top 71%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancements in sigma-IASI/f2n: efficient radiative transfer simulations for current and future cloud, atmosphere, and climate remote sensing infrared missions — Carmine Serio, Pamela Pasquariello, et al. · (2025) | TGRS Research Map | TGRS