A large‐eddy model for cirrus clouds with explicit aerosol and ice microphysics and Lagrangian ice particle tracking

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Overview of the PALM model system 6.0 (2019, methodology): “Therefore, our previous default collection algorithm by Riechelmann et al. (2012) was replaced by the so-called “all-or-nothing” algorithm that is based on the ideas of Shima et al. (2009) and Sölch and Kärcher (2010), and performed best in the comparison by Unterstrasser et al. (2016).”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part III: Introduction of Multiple Free Categories (2016, background): “With a further extension of the scheme to be triple moment, whereby the spectral dispersion of each category would thus be predicted and could be quite narrow, it could be argued that P3 would begin to resemble a Lagrangian particle model (e.g., Sölch and Karcher 2010).”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, methodology): “Unterstrasser et al. (2017) later developed the all‐or‐nothing algorithm (AON), based on the ideas of Shima et al. (2009) and Sölch and Kärcher (2010), and showed superior performance compared to other algorithms.”
The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives (2015, result): “These changes aim at reaching a significantly improved performance of the LPM in comparison to the previous versions described by Steinfeld et al. (2008) and Riechelmann et al.”