excursions:dwd_soumi_dutta

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excursions:dwd_soumi_dutta [2025/03/29 19:55] ayushexcursions:dwd_soumi_dutta [2025/03/29 19:58] (current) ayush
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 ==== Motivation for the visit ==== ==== Motivation for the visit ====
  
-The McSnow Lagrangian cloud model is one of the pivotal tools and methods used for scientific research in project PRISTINE (University of Cologne). Intensive McSnow simulations are performed to obtain detailed snow particle properties, which are used to further simulate snow shapes. On this ground, PRISTINE leverages continuous fruitful collaboration with the leading developers of McSnow at Deutscher Wetterdienst (DWD) with Dr. Christoph Siewert and Dr. Axel Seifert.+The McSnow Lagrangian cloud model is one of the pivotal tools and methods used for scientific research in project [[projects:pristine|PRISTINE]] (University of Cologne). Intensive McSnow simulations are performed to obtain detailed snow particle properties, which are used to further simulate snow shapes. On this ground, [[projects:pristine|PRISTINE]] leverages continuous fruitful collaboration with the leading developers of McSnow at Deutscher Wetterdienst (DWD) with Dr. Christoph Siewert and Dr. Axel Seifert.
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 ==== McSnow Model ==== ==== McSnow Model ====
  
-The McSnow model was developed by Brdar and Seifert (Brdar and Seifert, 2018). McSnow is a (1D box model) Lagrangian particle model that simulates the evolution of ice particles via depositional growth, aggregation, riming, melting, and warm phase processes. To reduce computational effort, a super droplet method (Shima et al., 2009) has been used in McSnow for the evolution of multi-property ice particles. Each super-particle represents multiple real particles with the same attributes and position, and each super-particle has a multiplicity (number of real particles represented by it). Note here that no two real particles (true ice particles) have exactly the same position and attributes, and in this sense, a super-particle is a kind of coarse-grained view of particles both in real space and attribute space. McSnow is a 1D box model with no horizontal resolution. We consider a five-square-meter grid-box area with several height layers inside the McSnow simulation. Thus, a super-particle is more of a representation of an ensemble of real particles within a given volume. The super-particle’s evolution is then tracked to get aggregation history. In McSnow, ice mass, rime mass, volume, number of monomers, and shape of the monomers are tracked for each super-particle. The model has been improved during the PROM-I project IMPRINT to explicitly model frozen particle shapes and shape-dependent ice processes. Modeling of ice particle structures with a much higher level of detail is required for advanced scattering simulations in project PRISTINE.+The McSnow model was developed by Brdar and Seifert (Brdar and Seifert, 2018). McSnow is a (1D box model) Lagrangian particle model that simulates the evolution of ice particles via depositional growth, aggregation, riming, melting, and warm phase processes. To reduce computational effort, a super droplet method (Shima et al., 2009) has been used in McSnow for the evolution of multi-property ice particles. Each super-particle represents multiple real particles with the same attributes and position, and each super-particle has a multiplicity (number of real particles represented by it). Note here that no two real particles (true ice particles) have exactly the same position and attributes, and in this sense, a super-particle is a kind of coarse-grained view of particles both in real space and attribute space. McSnow is a 1D box model with no horizontal resolution. We consider a five-square-meter grid-box area with several height layers inside the McSnow simulation. Thus, a super-particle is more of a representation of an ensemble of real particles within a given volume. The super-particle’s evolution is then tracked to get aggregation history. In McSnow, ice mass, rime mass, volume, number of monomers, and shape of the monomers are tracked for each super-particle. The model has been improved during the PROM-I project [[projects:imprint|IMPRINT]] to explicitly model frozen particle shapes and shape-dependent ice processes. Modeling of ice particle structures with a much higher level of detail is required for advanced scattering simulations in project [[projects:pristine|PRISTINE]].
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  • excursions/dwd_soumi_dutta.txt
  • Last modified: 2025/03/29 19:58
  • by ayush