Changes between Version 133 and Version 134 of doc/app/particle_parameters

Timestamp:

Apr 15, 2016 12:15:30 PM (9 years ago)

Author:

hoffmann

Comment:

--

doc/app/particle_parameters

@@ -308 +308 @@
 |----------------
 {{{#!td style="vertical-align:top"
+[=#init_aerosol_probabilistic '''init_aerosol_probabilistic''']
+}}}
+{{{#!td style="vertical-align:top"
+L
+}}}
+{{{#!td style="vertical-align:top"
+.FALSE.
+}}}
+{{{#!td
+A logical which steers the initialization of the aerosol spectrum (only necessary if [#curvature_solution_effects curvature_solution_effects] are activated). Up to 3 log-normal distributions can be predefined to initialize the aerosol spectrum via ??? in the dry aerosol radius range from 0.01 to 1.0 microns. In a subsaturated environment, the initial radius of the haze particle is computed by a parametrization, i.e., the parameter [#radius radius] does not affect the initial radius of the droplet. If no aerosol spectrum is desired, see [#monodisperse_aerosols monodisperse_aerosols].
+
+Options:
+* .TRUE.: The aerosol dry radius is initialized by a random number generator. The weighting factor is not changed by this initialization.
+* .FALSE.: The aerosol spectrum is divided in logarithmically-spaced bins (the number of bins equals the number of super-droplets per grid box). The dry aerosol radius of the super-droplet is set to the mean dry aerosol radius of the super-droplet's bin. The weighting factor is adjusted to be proportional to the number of aerosols in the bin. Note that the mean weighting factors still matches the the [#initial_weighting_factor initial_weighting_factor].
+}}}
+|----------------
+{{{#!td style="vertical-align:top"
 [=#maximum_number_of_particles '''maximum_number\\_of_particles''']
 }}}