Changes between Version 134 and Version 135 of doc/app/particle_parameters

Timestamp:

Apr 15, 2016 12:20:35 PM (9 years ago)

Author:

hoffmann

Comment:

--

doc/app/particle_parameters

@@ -317 +317 @@
 }}}
 {{{#!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].
+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 [#n1], [#n2], [#n3], [#s1], [#s2], [#s3], [#rm1], [#rm2], [#rm3] 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 particles. 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].
+* .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, but the mean weighting factors still matches the [#initial_weighting_factor initial_weighting_factor].
 }}}
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@@ -351 +351 @@
 {{{#!td
 Minimum number of particles for which memory is allocated at every grid cell.
+}}} 
+|----------------
+{{{#!td style="vertical-align:top"
+[=#monodisperse_aerosols '''monodisperse_aerosols''']
+}}}
+{{{#!td style="vertical-align:top"
+L
+}}}
+{{{#!td style="vertical-align:top"
+.FALSE.
+}}}
+{{{#!td
+* .TRUE.: Initializes a monodisperse aerosol spectrum, i.e., the dry aerosol radius is 0.1 micron for each super-droplet. 
+* .FALSE.: A log-nomal distributed aerosol spectrum is initialized (see [#init_aerosol_probabilistic init_aerosol_probabilistic]).
 }}} 
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