Changes between Version 158 and Version 159 of doc/app/particle_parameters

Timestamp:

Jun 12, 2017 11:37:42 AM (8 years ago)

Author:

schwenkel

Comment:

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doc/app/particle_parameters

@@ -670 +670 @@
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-Radius threshold for splitting of super droplets. Only super droplets with a larger radius than [#radius_split radius_split] are considered for cloning (If  [#splitting splitting]=.T.) . Sensitivity studies showed, that a radius of 40µm seems to be sufficient to achieve better statistics of the rain drop distribution. However, those results are based on simulations of shallow cumulus clouds. Therefore, this parameter may be adjusted for different applications. 
+Radius threshold for splitting of super droplets. Only super droplets with a larger radius than '''radius_split''' are considered for cloning (If  [#splitting splitting]=.T.) . Sensitivity studies showed, that a radius of 40µm seems to be sufficient to achieve better statistics of the rain drop distribution. However, those results are based on simulations of shallow cumulus clouds. Therefore, this parameter may be adjusted for different applications. 
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@@ -768 +768 @@
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-Switch on/off splitting algorithm for cloud droplets (if [../inipar#cloud_droplets cloud_droplets]=.T.). If [#splitting splitting] is set .TRUE. every time step the splitting algorithm is executed. The algorithm split particles which fulfill certain criterion's into several super droplets with a reduced number of represented particles of every super droplet. The splitting algorithm can be steered by several parameters (a critical radius, a critical weighting factor,..). This mechanism allows an improved representation of the right tail of the drop size distribution with a feasible amount of computational costs. The limits of particle creation should be chosen carefully! The idea of this algorithm is based on Unterstrasser and Soelch, 2014.  
+Switch on/off splitting algorithm for cloud droplets (if [../inipar#cloud_droplets cloud_droplets]=.T.). If '''splitting''' is set .TRUE. every time step the splitting algorithm is executed. The algorithm split particles which fulfill certain criterion's into several super droplets with a reduced number of represented particles of every super droplet. The splitting algorithm can be steered by the following parameters: [#max_number_particles_per_gridbox max_number_particles_per_gridbox], [#radius_split radius_split], [#splitting_factor splitting_factor], [#splitting_factor_max splitting_factor_max], [#splitting_function splitting_function], [#splitting_mode splitting_mode] and [#weight_factor_split weight_factor_split]. This mechanism allows an improved representation of the right tail of the drop size distribution with a feasible amount of computational costs. The limits of particle creation should be chosen carefully! The idea of this algorithm is based on Unterstrasser and Soelch, 2014.  
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