[187] | 1 | \documentclass[11pt,a4paper,titlepage]{scrreprt} |
---|
| 2 | \documentstyle[Flow] |
---|
| 3 | \usepackage{graphics} |
---|
| 4 | \usepackage{german} |
---|
| 5 | \usepackage{chimuk} |
---|
| 6 | \usepackage{bibgerm} |
---|
| 7 | \usepackage{a4wide} |
---|
| 8 | \usepackage{amsmath} |
---|
| 9 | \usepackage{flafter} |
---|
| 10 | \usepackage[dvips]{epsfig} |
---|
| 11 | \usepackage{texdraw} |
---|
| 12 | \usepackage{supertabular} |
---|
| 13 | \usepackage{longtable} |
---|
| 14 | \usepackage{scrpage} |
---|
| 15 | \usepackage{fancyheadings} |
---|
| 16 | \usepackage{flow} |
---|
| 17 | \frenchspacing |
---|
| 18 | \sloppy |
---|
| 19 | \pagestyle{fancyplain} |
---|
| 20 | \addtolength{\headheight}{\baselineskip} |
---|
| 21 | \renewcommand{\chaptermark}[1]{\markboth{\thechapter~~#1}{}} |
---|
| 22 | \renewcommand{\sectionmark}[1]{\markright{\thesection\ #1}} |
---|
| 23 | \lhead{\fancyplain{}{\bfseries\leftmark}} |
---|
| 24 | \rhead{} |
---|
| 25 | %\begin{titlepage} |
---|
| 26 | %\author{Gerald Steinfeld} |
---|
| 27 | %\title{Prandtl layer parameterisation in PALM} |
---|
| 28 | %\end{titlepage} |
---|
| 29 | \begin{document} |
---|
| 30 | %\maketitle |
---|
| 31 | %\tableofcontents |
---|
| 32 | \pagebreak |
---|
| 33 | |
---|
| 34 | \chapter{Plant canopy model in PALM} |
---|
| 35 | The basic equations used in the LES are the Navier-Stokes equations using the Boussinesq approximation (conservation of momentum; equation \ref{NSG}), |
---|
| 36 | the equation of continuity (conservation of mass; equation \ref{KON}), the first law of thermodynamics (conservation of energy; equation \ref{1HS}) and |
---|
| 37 | the conservation equation for a passive scalar (equation \ref{CPS}). All equations are filtered (in PALM by averaging over a discrete grid volume) in |
---|
| 38 | order to eliminate small-scale perturbations. Thus, the set of equations on that the LES model PALM is based is formed by the following equations: |
---|
| 39 | |
---|
| 40 | \begin{equation} \label{NSG} |
---|
| 41 | \frac{\partial \overline{u}_i}{\partial t} = - \frac{\partial}{\partial x_k} \overline{u}_k \overline{u}_i - \frac{1}{\rho_0} \frac{\partial \overline{p^{\ast}}}{\partial x_i} - \left ( \epsilon_{ijk} f_j \overline{u}_k - \epsilon_{i3k} f_3 u_{g_k} \right ) + g \frac{\overline{\Theta^{\ast}}}{\Theta_0} \delta_{i3} - \frac{\partial}{\partial x_k} \overline{u_i'u_k'} - c_d a U \overline{u}_i |
---|
| 42 | \end{equation} |
---|
| 43 | |
---|
| 44 | \begin{equation} \label{KON} |
---|
| 45 | \frac{\partial \overline{u}}{\partial x_i} = 0 |
---|
| 46 | \end{equation} |
---|
| 47 | |
---|
| 48 | \begin{equation} \label{1HS} |
---|
| 49 | \frac{\partial \overline{\Theta}}{\partial t} = - \frac {\partial}{\partial x_k} \overline{u}_k \overline{\Theta} - \frac{\partial}{\partial x_k} \overline{u_k'\Theta'} + S |
---|
| 50 | \end{equation} |
---|
| 51 | |
---|
| 52 | \begin{equation} \label{CPS} |
---|
| 53 | \frac{\partial \overline s}{\partial t} = - \frac{\partial}{\partial x_k} \overline{u}_k \overline{s} - \frac{\partial}{\partial x_k} \overline{u_k's'} - c_s a U \left ( \overline{s} - s_l \right ) |
---|
| 54 | \end{equation} |
---|
| 55 | |
---|
| 56 | The overline denotes filtered variables, while the prime denotes sub-gridscale, local spatial fluctuations at time t that are not resolved by the model; |
---|
| 57 | the star denotes a departure of the basic state that is marked by a subscript $0$ and that varies only |
---|
| 58 | with height; $u_i$ is the velocity in the $x_i$-direction; $\rho$ is the air density; $p$ is the pressure; $f_i=(0,2\Omega cos(\phi),2\Omega sin(\phi))$ |
---|
| 59 | is the Coriolis parameter with the angular velocity of the earth $\Omega$; ${u_g}_i$ denotes the components of the geostrophic wind; $g$ is the |
---|
| 60 | acceleration due to gravity; $\Theta$ is the potential temperature and $s$ denotes the concentration of a passive scalar. |
---|
| 61 | The sub-gridscale fluxes in equations \ref{NSG}, \ref{1HS} and \ref{CPS} are parameterised by a 1.5-order closure model using resolved-scale variables |
---|
| 62 | and the sub-gridscale turbulent kinetic energy $\overline{e}$. Thus, an additional prognostic equation has to be solved for the sub-gridscale turbulent |
---|
| 63 | kinetic energy $\overline{e}$: |
---|
| 64 | |
---|
| 65 | \begin{equation} \label{TKE} |
---|
| 66 | \frac{\partial \overline e}{\partial t} = - \frac{\partial}{\partial x_k} \overline{u}_k \overline{e} - \tau_{ij} \frac{\partial \overline{u}_i}{\partial x_j} + \frac{g}{\Theta_0} \overline{u_3'\Theta_j'} - \frac{\partial}{\partial x_j} \left ( \overline{u_j' \left ( e + \frac{p'}{\rho_0} \right ) } \right ) - \epsilon - 2 c_d a U \overline{e}. |
---|
| 67 | \end{equation} |
---|
| 68 | |
---|
| 69 | Here, $\tau_{ij}$ denotes the sub-gridscale stress tensor. The final terms in equations \ref{NSG}, \ref{1HS}, \ref{CPS} and \ref{TKE} represent the sink |
---|
| 70 | or source of momentum, heat and the passive scalar due to canopy elements, respectively. Thus, these terms do only occur within the plant canopy, while |
---|
| 71 | they vanish outside the plant canopy (in PALM this distinction between canopy layer and the remaining area is realised by the specification of a height |
---|
| 72 | index that contains the information up to which vertical grid level the plant canopy extends; the additional terms for the plant canopy layer are |
---|
| 73 | only evaluated for grid levels smaller or equal that plant canopy height index). The additional, canopy related source and sink sources, are considered in |
---|
| 74 | PALM in the same way as in the models of WATANABE (2004, Boundary-Layer Meteorol., 112, 307-341) and SHAW AND SCHUMANN |
---|
| 75 | (1992, Boundary-Layer Meteorol., 61, 47-64). |
---|
| 76 | $c_d$ and $c_s$ are the leaf drag coefficient and the scalar exchange |
---|
| 77 | coefficient for a leaf, respectively; $a$ is the leaf area density; $U$ is the instantaneous local wind speed, defined as |
---|
| 78 | \begin{equation} |
---|
| 79 | U = \left ( \overline{u}^2 + \overline{v}^2 + \overline{w}^2 \right )^{\frac{1}{2}}, |
---|
| 80 | \end{equation} |
---|
| 81 | and $s_l$ is the scalar concentration at a leaf surface. |
---|
| 82 | The heat source distribution $S(z)$ in convective conditions has been given by BROWN AND COVEY (1966, Agric. Meteorol., 3, 73-96) and SHAW AND SCHUMANN |
---|
| 83 | (1992). The assumption that leads to the heat source distribution is that short-wave solar radiation penetrates the plant canopy and warms the foliage |
---|
| 84 | which, in turn, warms the air in contact with it. The heat source is distributed in such a way that the heat flux $Q$ at the top of the canopy, $z=h$, is |
---|
| 85 | prescribed and that the heat flux within the canopy follows a declining exponential function of the downward cumulative leaf area index. The decline of |
---|
| 86 | heat flux with decreasing height is similar to the decline of net radiation that has been described by BROWN AND COVEY (1966). The heat source $S(z)$ that |
---|
| 87 | is included in equation \ref{1HS} is the vertical derivative of the upward kinematic vertical heat flux $Q$ |
---|
| 88 | \begin{equation} |
---|
| 89 | S = \frac{\partial Q}{\partial z}. |
---|
| 90 | \end{equation} |
---|
| 91 | According to the explanations given above the upward kinematic vertical heat flux $Q$ is evaluated as |
---|
| 92 | \begin{equation} \label{kvh} |
---|
| 93 | Q(z) = Q(h) exp(- \alpha F(z)), |
---|
| 94 | \end{equation} |
---|
| 95 | where $F$ is the downward cumulative leaf area index (non-dimensional) determined by integration over the leaf area density $a$ |
---|
| 96 | \begin{equation} |
---|
| 97 | F = \int_z^h a dz |
---|
| 98 | \end{equation} |
---|
| 99 | and $\alpha$ is an extinction coefficient that is set by default to 0.6 in PALM. |
---|
| 100 | |
---|
| 101 | The final term in equation \ref{TKE} represents the sink for sub-gridscale turbulent kinetic energy |
---|
| 102 | due to the rapid dissipation of wake turbulence formed in the lee of canopy elements. This term is included |
---|
| 103 | on the assumption that individual wake motions behind canopy elements are of even smaller scale than those |
---|
| 104 | making up the bulk of sub-gridscale kinetic energy. For simulations in that the grid length is of the |
---|
| 105 | order of the scale of wake turbulence modifications within equation \ref{TKE} might be necessary. KANDA |
---|
| 106 | AND HINO (1994, Boundary-Layer Meteorol., 68, 237-257) made a suggestion how equation \ref{TKE} has to be |
---|
| 107 | modified for such cases. |
---|
| 108 | |
---|
| 109 | \end{document} |
---|