Changes between Version 34 and Version 35 of doc/app/plant_canopy_parameters


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Timestamp:
Jan 7, 2019 10:54:38 AM (6 years ago)
Author:
weniger
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  • doc/app/plant_canopy_parameters

    v34 v35  
    33
    44== Overview ==
    5 The plant canopy model (PCM) embedded in PALM can be used to simulate the effect of vegetation canopies on a turbulent flow.\\ Thereby, the canopy is modeled as a porous viscous medium that removes momentum from the flow (Shaw & Schumann, BLM 61: 47-64, 1992; Watanabe, BLM 112: 307–341, 2004), and acts as source/sink for heat, humidity, or passive scalar. The presentation [/wiki/doc/tut/the/canopy#Canopymodel "Canopy model"] provides detailed information on canopy-flow theory and the functionality of the canopy model. \\
     5The plant canopy model (PCM) embedded in PALM can be used to simulate the effect of vegetation canopies on a turbulent flow.\\ Thereby, the canopy is modeled as a porous viscous medium that removes momentum from the flow (Shaw & Schumann, 1992; Watanabe, 2004), and acts as source/sink for heat, humidity, or passive scalar. The presentation [/wiki/doc/tut/the/canopy#Canopymodel "Canopy model"] provides detailed information on canopy-flow theory and the functionality of the canopy model. \\
    66
    77The PCM is enabled by adding the NAMELIST {{{plant_canopy_parameters}}} with appropriate parameters to the INPUT parameter file ({{{<jobname>_p3d}}}). Available parameters are listed below. \\
     
    2424   - user_parin.f90
    2525* {{{generate_static_driver.ncl}}}: Simple NCL script that was used to generate the NetCDF file {{{test_canopy_static}}}
    26 This simulation setup (canopy_mode = 'block' or 'read_from_file_3d') reproduces the results of Shaw & Schumann (BLM 61: 47-64, 1992). The USER_CODE is for a simulation with only a subregion of the surface covered with plant canopy.
     26This simulation setup (canopy_mode = 'block' or 'read_from_file_3d') reproduces the results of Shaw & Schumann (1992). The USER_CODE is for a simulation with only a subregion of the surface covered with plant canopy.
    2727
    2828----
     
    4545}}}
    4646{{{#!td
    47 Dimensionless coefficient required for constructing the leaf area density (LAD) profile, using following beta probability density function (following Markkanen et al., 2003, BLM 106, 437-459):\\\\
     47Dimensionless coefficient required for constructing the leaf area density (LAD) profile, using following beta probability density function (following Markkanen et al. (2003)):\\\\
    4848{{{
    4949#!Latex
     
    8989{{{#!td
    9090Drag coefficient used in the {{{plant_canopy_model}}}.\\\\
    91 This parameter has to be greater than zero for the simulation of a plant canopy. A typical value is 0.15, used e.g. by Shaw & Schumann (BLM 61: 47-64, 1992).
     91This parameter has to be greater than zero for the simulation of a plant canopy. A typical value is 0.15, used e.g. by Shaw & Schumann (1992).
    9292}}}
    9393|----------------
     
    226226Above '''pch_index''' the leaf area density (LAD) is automatically set to zero. Up to '''pch_index''' a leaf area density profile can be prescribed in two possible ways:\\\\
    2272271) Creating a piecewise linear LAD-profile by prescribing the parameters [#lad_surface lad_surface], [#lad_vertical_gradient lad_vertical_gradient], and [#lad_vertical_gradient_level lad_vertical_gradient_level].\\\\
    228 2) Employing a beta probability density function for the vertical leaf area distribution, prescribing coefficients [#alpha_lad alpha_lad], [#beta_lad beta_lad] and [#lai_beta lai_beta] (see e.g. Markkanen et al., 2003, BLM 106, 437-459).
     2282) Employing a beta probability density function for the vertical leaf area distribution, prescribing coefficients [#alpha_lad alpha_lad], [#beta_lad beta_lad] and [#lai_beta lai_beta] (see e.g. Markkanen et al. (2003)).
    229229}}}
    230230|----------------
     
    239239}}}
    240240{{{#!td
    241 Enables calculation of evapotranspiration and corresponding latent heat flux of the resolved plant canopy which utilizes SW and LW radiation fluxes calculated in RTM. The calculation of transpiration rate is based on the Jarvis-Stewart model with parametrizations described in Daudet et al. (1999; Agricult. and Forest Meteorol. 97) and Ngao, Adam and Saudreau (2017; Agricult. and Forest Meteorol 237-238) with some modifications according to Stewart (1998; Agric. and Forest. Meteorol. 43).
     241Enables calculation of evapotranspiration and corresponding latent heat flux of the resolved plant canopy which utilizes SW and LW radiation fluxes calculated in RTM. The calculation of transpiration rate is based on the Jarvis-Stewart model with parametrizations described in Daudet et al. (1999) and Ngao, Adam and Saudreau (2017) with some modifications according to Stewart (1988).
    242242}}}
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