Articles | Volume 19, issue 2
https://doi.org/10.5194/gmd-19-887-2026
https://doi.org/10.5194/gmd-19-887-2026
Development and technical paper
 | 
27 Jan 2026
Development and technical paper |  | 27 Jan 2026

A microwave scattering database of oriented ice and snow particles: supporting habit-dependent growth models and radar applications (McRadar 1.0.0)

Leonie von Terzi, Davide Ori, and Stefan Kneifel

Data sets

Level 0 data for: A Microwave Scattering Database of Oriented Ice and Snow Particles: Supporting Habit-Dependent Growth Models and Radar Applications Leonie von Terzi https://doi.org/10.57970/cgtek-fen77

Level 1 data for: A Microwave Scattering Database of Oriented Ice and Snow Particles: Supporting Habit-Dependent Growth Models and Radar Applications, Leonie von Terzi et al. https://doi.org/10.5281/zenodo.16792943

Model code and software

McRadar Leonie von Terzi https://doi.org/10.5281/zenodo.17079541

lterzi/DDA_database_gmd: Codes for "A Microwave Scattering Database of Oriented Ice and Snow Particles: Supporting Habit-Dependent Growth Models and Radar Applications (McRadar 1.0.0)" Leonie von Terzi https://doi.org/10.5281/zenodo.18257206

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Short summary
We present a new database of radar-relevant optical properties for a wide range of ice particle shapes, computed using the Discrete Dipole Approximation (DDA) at 5.6, 9.6, 35.6, and 94 GHz. The database is designed to support habit-evolving microphysical schemes, which predict continuous changes in ice particle properties rather than the traditionally assumed fixed categories. It includes over 2600 individual crystals and 450 aggregates with varying riming degrees and morphology.
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