Preprints
https://doi.org/10.5194/egusphere-2025-4846
https://doi.org/10.5194/egusphere-2025-4846
24 Nov 2025
 | 24 Nov 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Modeling of radiative transfer through cryospheric Earth system: software package SCIATRAN

Linlu Mei, Vladimir Rozanov, Alexei Rozanov, and John P. Burrows

Abstract. The cryosphere plays a crucial role in global climate change. To accurately quantify impacts of typical cryospheric surface types, such as snow, ice, and melt ponds on the radiative processes both in the atmosphere and at the surface, new developments in the radiative transfer modeling are necessary. This paper summarizes recent developments in the coupled atmosphere-snow(water)-ice-water radiative transfer model SCIATRAN, which are essential for cryospheric science applications. Novel implementations include a polarized treatment of the coupled ocean-atmosphere, support for multi-layer ice with an ice crust, a flexible interface for incorporating diverse total suspended matter, and an improved cloud parameter input for mixed clouds. We also introduce new surface reflection models and expanded databases of inherent optical properties for snow and ice. Furthermore, it includes selected verification and validation results obtained by comparing SCIATRAN simulations with benchmark data and with measurements from various campaigns. The SCIATRAN software package is freely distributed via the homepage of the Institute of Environmental Physics (IUP), University of Bremen: https://www.iup.uni-bremen.de/sciatran/.

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Linlu Mei, Vladimir Rozanov, Alexei Rozanov, and John P. Burrows

Status: open (until 19 Jan 2026)

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Linlu Mei, Vladimir Rozanov, Alexei Rozanov, and John P. Burrows

Data sets

Radiative transfer model SCIATRAN V4.6: source code and required data base Alexei Rozanov, Vladimir Rozanov, and Linlu Me https://doi.org/10.5281/zenodo.7376665

Linlu Mei, Vladimir Rozanov, Alexei Rozanov, and John P. Burrows
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Latest update: 24 Nov 2025
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Short summary
As climate change causes this ice to melt, this reflective shield shrinks, accelerating global warming. We improved how the software calculates light interaction with snow and ice and then verified its accuracy against real-world measurements. This freely available tool provides scientists with a more precise way to predict the pace of climate change, helping us understand the future of our warming planet.
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