Changes between Version 4 and Version 5 of doc/app/plant_canopy_parameters

Timestamp:

Mar 21, 2014 11:05:17 AM (11 years ago)

Author:

kanani

Comment:

--

doc/app/plant_canopy_parameters

@@ -1 +1 @@
 == Canopy Parameters ==
 [[TracNav(doc/app/partoc|nocollapse)]] ---UNDER CONSTRUCTION---\\\\
-The canopy model embedded in PALM can be used to simulate the flow across vegetation canopies.\\ Thereby, the canopy is modeled as a porous viscous medium that removes momentum from the flow (according to Shaw & Schumann, 1992; Watanabe, 2004). The [/wiki/doc/tut/job/canopy#Canopymodel presentation "Canopy model"] provides detailed information on canopy-flow theory and the functionality of the canopy model. An example how to model the flow across a simple canopy block can be found under [/wiki/doc/tut/job/canopy#Exercise9:Canopyflow Exercise "Canopy flow"].\\\\
-Since revision 13XX all components of the canopy model are modularized into module [/browser/palm/trunk/SOURCE/plant_canopy_model.f90 plant_canopy_model_mod]. In this context, the steering parameters for the canopy model are, since revision 13XX, part of the new package ''canopy_par''.\\\\
-The package and the application of the canopy model is activated by adding the NAMELIST {{{canopy_par}}} to your parameter file, subsequently to the NAMELIST {{{d3par}}}.
+The canopy model embedded in PALM can be used to simulate the flow across vegetation canopies.\\ Thereby, the canopy is modeled as a porous viscous medium that removes momentum from the flow (according to Shaw & Schumann, 1992; Watanabe, 2004). The presentation [/wiki/doc/tut/job/canopy#Canopymodel "Canopy model"] provides detailed information on canopy-flow theory and the functionality of the canopy model. An example how to model the flow across a simple canopy block can be found under exercise [/wiki/doc/tut/job/canopy#Exercise9:Canopyflow "Canopy flow"].\\\\
+Since revision 13XX all components of the canopy model are modularized into module [/browser/palm/trunk/SOURCE/plant_canopy_model.f90 plant_canopy_model_mod]. In this context, the steering parameters for the canopy model are, since revision 13XX, part of the new package {{{canopy_par}}}.\\\\
+The package and the application of the canopy model is automatically activated by adding the NAMELIST {{{canopy_par}}} to your parameter file, subsequently to the NAMELIST {{{d3par}}}.
 \\\\\\\\\\
 '''NAMELIST group name: canopy_par''' \\
 
 ||='''Parameter Name'''  =||='''[../fortrantypes FORTRAN Type]'''  =||='''Default Value'''  =||='''Explanation'''  =||
+|----------------
+{{{#!td style="vertical-align:top"
+[=#alpha_lad '''alpha_lad''']
+}}}
+{{{#!td style="vertical-align:top"
+R
+}}}
+{{{#!td style="vertical-align:top"
+9999999.9
+}}}
+{{{#!td
+Dimensionless coefficient for the construction of the leaf area density (lad) profile, using this beta probability density function (following XXcite):\\\\
+{{{
+#!Latex
+\[ lad(z/H) = , \]
+}}}
+This parameter steers together with [/wiki/doc/app/canpar#beta_lad beta_lad] the vertical distribution of leaf area within the canopy volume. [/wiki/doc/app/canpar#alpha_lad alpha_lad] can take values from XX to XX. Furthermore, the desired leaf area index (lai) has to be prescribed by setting [/wiki/doc/app/canpar#lai_beta lai_beta] to a non-zero value.\\\\
+The leaf area density profile can also be constructed by prescribing vertical gradients ([/wiki/doc/app/canpar#lad_vertical_gradient_level lad_vertical_gradient_level], [/wiki/doc/app/canpar#lad_vertical_gradient lad_vertical_gradient]) of the leaf area density, starting from the prescribed surface value [/wiki/doc/app/canpar#lad_surface lad_surface].
+}}}
+|----------------
+{{{#!td style="vertical-align:top"
+[=#beta_lad '''beta_lad''']
+}}}
+{{{#!td style="vertical-align:top"
+R
+}}}
+{{{#!td style="vertical-align:top"
+9999999.9
+}}}
+{{{#!td
+Dimensionless coefficient for the construction of the leaf area density (lad) profile, using this beta probability density function (following XXcite):\\\\
+{{{
+#!Latex
+\[ lad(z/H) = , \]
+}}}
+This parameter steers together with [/wiki/doc/app/canpar#alpha_lad alpha_lad] the vertical distribution of leaf area within the canopy volume. [/wiki/doc/app/canpar#beta_lad beta_lad] can take values from XX to XX. Furthermore, the desired leaf area index (lai) has to be prescribed by setting [/wiki/doc/app/canpar#lai_beta lai_beta] to a non-zero value.\\\\
+The leaf area density profile can also be constructed by prescribing vertical gradients ([/wiki/doc/app/canpar#lad_vertical_gradient_level lad_vertical_gradient_level], [/wiki/doc/app/canpar#lad_vertical_gradient lad_vertical_gradient]) of the leaf area density, starting from the prescribed surface value [/wiki/doc/app/canpar#lad_surface lad_surface].
+}}}
 |----------------
 {{{#!td style="vertical-align:top;width: 150px"
@@ -98 +136 @@
 |----------------
 {{{#!td style="vertical-align:top"
+[=#lai_beta '''lai_beta''']
+}}}
+{{{#!td style="vertical-align:top"
+R
+}}}
+{{{#!td style="vertical-align:top"
+0.0
+}}}
+{{{#!td
+Leaf area index used in the {{{plant_canopy_model}}} to construct the vertical profile of the leaf area density (lad) with a beta function, as described under parameter [/wiki/doc/app/canpar#alpha_lad alpha_lad] or [/wiki/doc/app/canpar#beta_lad beta_lad].\\\\
+[/wiki/doc/app/canpar#lai_beta lai_beta] has to be set to a non-zero value, and parameters [/wiki/doc/app/canpar#alpha_lad alpha_lad] and [/wiki/doc/app/canpar#beta_lad beta_lad] have to be given.
+}}}
+|----------------
+{{{#!td style="vertical-align:top"
 [=#leaf_surface_concentration '''leaf_surface_concentration''']
 }}}
@@ -121 +173 @@
 }}}
 {{{#!td
-Grid point index (scalar) of the upper boundary of the plant canopy layer.\\\\
+Grid point index (w-grid) of the upper boundary of the plant canopy layer.\\\\
 Above '''pch_index''' the arrays of leaf area density and [#drag_coeffient drag_coeffient] are automatically set to zero in case of [#plant_canopy plant_canopy] = ''.T.''. Up to '''pch_index''' a leaf area density profile can be prescribed by using the parameters [#lad_surface lad_surface], [#lad_vertical_gradient lad_vertical_gradient] and [#lad_vertical_gradient_level lad_vertical_gradient_level].
 }}}