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--- projects:pristine [2025/10/31 13:48] – ayush
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   * [[#tab-abstract|Abstract]]
+  * [[#tab-2025|2025]]
   * [[#tab-2024|2024]]
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 ===Status 2025===
-Over the course of the PRISTINE project, progress has been made towards understanding the microphysical processes of ice crystal growth and aggregation using the joint application of the McSnow and Aggregation models. The simulation framework has been established, and simulations have been carried out to generate aggregate shapes.
+Over the course of the PRISTINE project, progress has been made towards understanding the microphysical processes of ice crystal growth and aggregation using the joint application of the McSnow and Aggregation models. The simulation framework has been established, and simulations have been carried out to generate aggregate shapes. Furthermore, scattering properties of the aggregate shapes have been calculated using DDA scattering method. The scattering properties have been used to obtain the azimuthal orientation average (ARO) for both aggregates and single ice crystals.
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-Furthermore, scattering properties of the aggregate shapes have been calculated using DDA scattering method. The scattering properties have been used to obtain the azimuthal orientation average (ARO) for both aggregates and single ice crystals.
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 Before the joint application of McSnow and the Aggregation model was established, ARO data were provided to our project partners at DWD to investigate how the orientation averages produced from DDA scattering dataset impacts the EMVORADO (radar forward operator associated with ICON) simulation for better in comparison to T-matrix scattering method. This scattering properties were generated from arbitrarily shaped ice crystals and snowflakes.
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-<TEXT align="center">**Figure 1:** Radar reflectivity for the selected test case (date - 21.12.2018, time - 0700 am, location - Jülich). Source: [[https://www.meteo.physik.uni-muenchen.de/]]</TEXT>
+<TEXT align="center">**Figure 1:** Radar reflectivity for the selected test case (date - 21.12.2018, time - 0700 am, location - Jülich), source: [[https://www.meteo.physik.uni-muenchen.de/]] .</TEXT>
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 **References**\\
     * Brdar, S. and A. Seifert, 2018: McSnow: A Monte-Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space, J. Adv. Model. Earth Syst.,10, 187–206. \\
-    * C.A. Reiter, 2005: A local cellular model for snow crystal growth Chaos, Solitons & Fractals, 23 (4), pp. 1111-1119. \\
+    * C. A. Reiter, 2005: A local cellular model for snow crystal growth Chaos, Solitons & Fractals, 23 (4), pp. 1111-1119. \\
     * Schrom, R.S. and M. R. Kumjian, 2018: Bulk-density representations of branched planar ice crystals: errors in the polarimetric radar variables, J Appl Meteor Climatol., 57(2), 333–346. \\
     * Seifert, A. and K. Beheng, 2006: A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description. Meteorol. Atmos. Phys. 92, 45–66. \\