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Identification of riming and aggregation processes by combining scanning and spectrally resolved polarimetric Doppler cloud radar observations

Authors

Teisseire,  Audrey
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Schimmel,  Willi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Vogl,  Teresa
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Seifert,  Patric
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Radenz,  Martin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Bühl,  Johannes
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kalesse-Los,  Heike
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Teisseire, A., Schimmel, W., Vogl, T., Seifert, P., Radenz, M., Bühl, J., Kalesse-Los, H. (2023): Identification of riming and aggregation processes by combining scanning and spectrally resolved polarimetric Doppler cloud radar observations, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3199


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020571
Abstract
Aggregation or riming processes are highly relevant for precipitation formation and cloud evolution. Their quantitative characterization is however challenging and requires, e.g., knowledge about the fall velocity of particles and a potential presence of supercooled liquid droplets. In this study we present an approach that utilizes polarimetric and Doppler-spectral retrievals from observations of a scanning polarimetric (Slanted Linear Depolarization Ratio (SLDR)-mode) cloud Doppler radar of type MIRA-35, to derive the vertical evolution of hydrometeor shape between top and base of mixed-phase cloud systems with the goal to differentiate riming and aggregation processes. The underlying dataset was acquired in the framework of a 3-year field experiment, “Dynamic Aerosols Clouds and Precipitation Observation in the Pristine Environment in the South Ocean” (DACAPO-PESO) at the southern hemispheric midlatitude site of Punta Arenas, Chile (53°S, 71°W). The central algorithm is the determination of the vertical distribution of particle shape (VDPS) retrieval, which uses Range Height Indicator (RHI) scans from 30° to 90° elevation angle of SLDR and cross-correlation coefficient, which are sensible to the shape and orientation of particles, respectively. From the elevation dependency of these two parameters the microphysical parameter polarizability ratio (i.e., density-weighted aspect ratio) is derived as a function of height. In a final step, the VDPS method is combined with machine-learning-based spectral techniques like VOODOO, a new method for detecting supercooled liquid layers, to differentiate riming and aggregation processes.