Changes between Version 63 and Version 64 of doc/app/initialization_parameters

Timestamp:

Sep 14, 2010 11:33:24 AM (14 years ago)

Author:

kanani

Comment:

--

doc/app/initialization_parameters

@@ -534 +534 @@
 |----------------
 {{{#!td style="vertical-align:top"
-[=#<insert_parameter_name> '''<insert_parameter_name>''']
-}}}
-{{{#!td style="vertical-align:top"
-<insert type>
-}}}
-{{{#!td style="vertical-align:top"
-<insert value>
-}}}
-{{{#!td
-<insert explanation>
-}}}
-|----------------
-{{{#!td style="vertical-align:top"
-[=#<insert_parameter_name> '''<insert_parameter_name>''']
-}}}
-{{{#!td style="vertical-align:top"
-<insert type>
-}}}
-{{{#!td style="vertical-align:top"
-<insert value>
-}}}
-{{{#!td
-<insert explanation>
+[=#long_filter_factor '''long_filter_factor''']
+}}}
+{{{#!td style="vertical-align:top"
+R
+}}}
+{{{#!td style="vertical-align:top"
+0.0
+}}}
+{{{#!td
+Filter factor for the so-called Long-filter.\\\\
+This filter very efficiently eliminates 2-delta-waves sometimes caused by the upstream-spline scheme (see Mahrer and Pielke, 1978: Mon. Wea. Rev., '''106''', 818-830). It works in all three directions in space. A value of '''long_filter_factor''' = ''0.01'' sufficiently removes the small-scale waves without affecting the longer waves.\\\\
+By default, the filter is switched off (= ''0.0''). It is exclusively applied to the tendencies calculated by the upstream-spline scheme (see [#momentum_advec momentum_advec] and [#scalar_advec scalar_advec]), not to the prognostic variables themselves. At the bottom and top boundary of the model domain the filter effect for vertical 2-delta-waves is reduced. There, the amplitude of these waves is only reduced by approx. 50%, otherwise by nearly 100%.\\\\ 
+Filter factors with values > ''0.01'' also reduce the amplitudes of waves with wavelengths longer than 2-delta (see the paper by Mahrer and Pielke, quoted above). 
+}}}
+|----------------
+{{{#!td style="vertical-align:top"
+[=#loop_optimization '''loop_optimization''']
+}}}
+{{{#!td style="vertical-align:top"
+C*16
+}}}
+{{{#!td style="vertical-align:top"
+see right
+}}}
+{{{#!td
+Method used to optimize loops for solving the prognostic equations.\\\\
+By default, the optimization method depends on the host on which PALM is running. On machines with vector-type CPUs, single 3d-loops are used to calculate each tendency term of each prognostic equation, while on all other machines, all prognostic equations are solved within one big loop over the two horizontal indices {{{i}}} and {{{j}}} (giving a good cache uitilization).\\\\
+The default behaviour can be changed by setting either '''loop_optimization''' = '' 'vector' '' or '''loop_optimization''' = '' 'cache'.''
 }}}
 |----------------