ScIce-2025 – Database of Light Backscattering Matrices for Randomly Oriented Ice Crystal Particles of Cirrus Clouds

This report introduces ScIce-2025 – a database of light backscattering matrices for randomly oriented ice crystal particles of cirrus clouds. It contains the full spectrum of observed particle sizes (0.1–10,000 μm) and was obtained for three key lidar wavelengths (0.355, 0.532, and 1.064 μm). The database was generated using three fundamentally different light-scattering approaches: a rigorous numerical method, a physical optics method, and a geometric optics approximation. ScIce-2025 provides critical support for developing advanced lidar data interpretation algorithms, enabling more accurate analysis of cirrus clouds in both ground-based and space-based lidar observations.

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Publication Details

Published
2025-06-21
DOI
https://doi.org/10.56820/conferencearticle_685d0a9f2569f0.41615211
Primary Topic
Atmospheric aerosols and clouds
Type
article
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article

ScIce-2025 – Database of Light Backscattering Matrices for Randomly Oriented Ice Crystal Particles of Cirrus Clouds

D. Timofeev, Alexander V. Konoshonkin, K. S. Salnikov, Natalia V. Kustova et al.
Atmospheric aerosols and clouds
article

ScIce-2025 – Database of Light Backscattering Matrices for Randomly Oriented Ice Crystal Particles of Cirrus Clouds

D. Timofeev, Alexander V. Konoshonkin, K. S. Salnikov, Natalia V. Kustova, I. Tkachev, V. Shishko
article en

Abstract

This report introduces ScIce-2025 – a database of light backscattering matrices for randomly oriented ice crystal particles of cirrus clouds. It contains the full spectrum of observed particle sizes (0.1–10,000 μm) and was obtained for three key lidar wavelengths (0.355, 0.532, and 1.064 μm). The database was generated using three fundamentally different light-scattering approaches: a rigorous numerical method, a physical optics method, and a geometric optics approximation. ScIce-2025 provides critical support for developing advanced lidar data interpretation algorithms, enabling more accurate analysis of cirrus clouds in both ground-based and space-based lidar observations.

Openalex Percentile: Top 86%
Atmospheric aerosols and clouds
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