How does riming influence the observed spatial variability of ice water in mixed-phase clouds?
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Related Links |
Related Dataset #1 : DLR in situ cloud measurements during HALO-(AC)³ Arctic airborne campaign Related Dataset #2 : Nevzorov LWC and TWC data from the HALO-AC3 campaign in March and April 2022 Related Dataset #3 : Radar reflectivities at 94 GHz and microwave brightness temperature measurements at 89 GHz during the HALO-AC3 Arctic airborne campaign Related Dataset #4 : Cloud Radar System (CRS) IMPACTS Related Dataset #5 : Data set of simulated rimed aggregates for "A riming-dependent parameterization of scattering by snowflakes using the self-similar Rayleigh-Gans approximation" Related Software #1 : ac3airborne |
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Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
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Resource Support Email | opensky@ucar.edu |
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Metadata Contact Email | opensky@ucar.edu |
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Author |
Maherndl, N. Moser, M. Schirmacher, I. Bansemer, Aaron R. |
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UCAR/NCAR - Library |
Publication Date | 2024-12-16T00:00:00 |
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geoscientificInformation |
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Metadata Date | 2025-07-10T19:55:50.120819 |
Metadata Record Identifier | edu.ucar.opensky::articles:42374 |
Metadata Language | eng; USA |
Suggested Citation | Maherndl, N., Moser, M., Schirmacher, I., Bansemer, Aaron R., Lucke, J., Voigt, C., Maahn, M.. (2024). How does riming influence the observed spatial variability of ice water in mixed-phase clouds?. UCAR/NCAR - Library. https://n2t.net/ark:/85065/d75t3qs3. Accessed 09 August 2025. |
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