1 | % $Id: exercise_cbl.tex 1515 2015-01-02 11:35:51Z boeske $ |
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2 | \input{header_tmp.tex} |
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3 | %\input{header_lectures.tex} |
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4 | |
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5 | %\usepackage[utf8]{inputenc} |
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6 | \usepackage[T1]{fontenc} |
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7 | \usepackage{ngerman} |
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8 | \usepackage{pgf} |
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9 | \usepackage{subfigure} |
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10 | \usepackage{units} |
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11 | \usepackage{multimedia} |
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12 | \usepackage{hyperref} |
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13 | \newcommand{\event}[1]{\newcommand{\eventname}{#1}} |
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14 | \usepackage{xmpmulti} |
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15 | \usepackage{tikz} |
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16 | \usetikzlibrary{shapes,arrows,positioning} |
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17 | \usetikzlibrary{calc} %neues paket |
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18 | \usetikzlibrary{decorations.markings} %neues paket |
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19 | \usetikzlibrary{decorations.pathreplacing} %neues paket |
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20 | \def\Tiny{\fontsize{4pt}{4pt}\selectfont} |
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21 | \usepackage{amsmath} |
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22 | \usepackage{amssymb} |
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23 | \usepackage{multicol} |
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24 | \usepackage{pdfcomment} |
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25 | \usepackage{graphicx} |
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26 | \usepackage{listings} |
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27 | \lstset{showspaces=false,language=fortran,basicstyle= |
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28 | \ttfamily,showstringspaces=false,captionpos=b} |
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29 | |
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30 | \institute{Institute of Meteorology and Climatology, Leibniz Universit{\"a}t Hannover} |
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31 | \selectlanguage{english} |
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32 | \date{last update: \today} |
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33 | \event{PALM Seminar} |
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34 | \setbeamertemplate{navigation symbols}{} |
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35 | |
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36 | \setbeamertemplate{footline} |
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37 | { |
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38 | \begin{beamercolorbox}[rightskip=-0.1cm]& |
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39 | {\includegraphics[height=0.65cm]{imuk_logo.pdf}\hfill \includegraphics[height=0.65cm]{luh_logo.pdf}} |
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40 | \end{beamercolorbox} |
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41 | \begin{beamercolorbox}[ht=2.5ex,dp=1.125ex, |
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42 | leftskip=.3cm,rightskip=0.3cm plus1fil]{title in head/foot} |
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43 | {\leavevmode{\usebeamerfont{author in head/foot}\insertshortauthor} \hfill \eventname \hfill \insertframenumber \; / \inserttotalframenumber} |
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44 | \end{beamercolorbox} |
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45 | \begin{beamercolorbox}[colsep=1.5pt]{lower separation line foot} |
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46 | \end{beamercolorbox} |
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47 | } |
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48 | %\logo{\includegraphics[width=0.3\textwidth]{luhimuk_logo.pdf}} |
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49 | |
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50 | |
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51 | \title[Exercise 10: Cumulus Cloud]{Exercise 10: \\Cumulus Cloud With Bulk Cloud Physics} |
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52 | \author{PALM group} |
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53 | |
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54 | \begin{document} |
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55 | |
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56 | % Folie 1 |
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57 | \begin{frame} |
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58 | \titlepage |
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59 | \end{frame} |
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60 | |
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61 | \section{Exercise} |
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62 | \subsection{Exercise} |
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63 | |
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64 | % Folie 2 |
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65 | \begin{frame} |
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66 | \frametitle{Exercise 10: Cumulus Cloud With Bulk Cloud Physics} |
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67 | |
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68 | Simulate a cumulus cloud: |
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69 | \begin{itemize} |
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70 | % \scriptsize |
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71 | \item<2-> Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. |
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72 | \item<3-> Trigger the cloud by a bubble of rising warm air. |
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73 | \item<4-> Parameterize condensation using a simple bulk cloud physics scheme. |
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74 | \item<5-> Learn how to carry out conditional averages. |
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75 | \end{itemize} |
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76 | \end{frame} |
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77 | |
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78 | % Folie 3 |
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79 | \section{Hints} |
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80 | \subsection{Hints} |
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81 | \begin{frame} |
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82 | \frametitle{Hints I} |
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83 | |
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84 | The setup of this exercise is based on the LES-intercomparison BOMEX (Siebesma et al., 2003, J. Atmos. Sci.): |
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85 | % \only<2>{\begin{center} |
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86 | % \includegraphics[width=0.7\textwidth]{exercise_cumulus_figures/ptq.pdf} |
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87 | % \end{center}} |
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88 | % \only<2->{ |
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89 | \begin{itemize} |
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90 | \scriptsize |
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91 | |
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92 | \item<2-> In order to prescribe vertical profiles of temperature and humidity, set:\\ |
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93 | \texttt{initializing\_actions = 'set\_constant\_profiles',} |
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94 | \item<3-> \texttt{pt\_surface = 297.9,} |
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95 | |
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96 | \texttt{pt\_vertical\_gradient = 0.0, 0.58588957,} |
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97 | |
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98 | \texttt{pt\_vertical\_gradient\_level = 0.0, 740.0,} |
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99 | \item<4-> \texttt{q\_surface = 0.016,} |
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100 | |
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101 | \texttt{q\_vertical\_gradient = -2.97297E-4, -4.5238095E-4, -8.108108E-5,} |
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102 | |
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103 | \texttt{q\_vertical\_gradient\_level = 0.0, 740.0, 3260.0,} |
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104 | |
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105 | \item<5-> \texttt{surface\_pressure = 1015.4,} |
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106 | |
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107 | \item<6-> Note that contrary to BOMEX, no geostrophic wind, no surface fluxes, and no subsidence is prescribed in this setup. |
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108 | |
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109 | \item<7-> domain size: about $\unit[1000 \times 3600 \times 3000]{m^3}$ ($x$/$y$/$z$) |
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110 | \item<8-> grid size: $\unit[50]{m}$ equidistant |
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111 | \item<9-> simulated time: $\unit[1800]{s}$ |
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112 | \end{itemize} |
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113 | % } |
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114 | \end{frame} |
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115 | |
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116 | |
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117 | % Folie 4 |
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118 | \begin{frame} |
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119 | \frametitle{Hints II} |
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120 | |
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121 | How to initialize a bubble of warm air? |
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122 | \begin{itemize} |
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123 | \scriptsize |
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124 | \item<2-> In the subroutine \texttt{user\_init}, initialize the bubble of warm air by a temperature excess at the first time step (\texttt{current\_timestep\_number == 0}) |
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125 | \item<3-> The temperature excess can be added directly to the three-dimensional field of liquid water potential temperature: |
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126 | |
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127 | \texttt{pt(k,j,i) = pt(k,j,i) + EXP( -0.5 * ( y / bubble\_sigma\_y )**2 ) * \&} |
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128 | |
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129 | \texttt{\hphantom{pt(k,j,i) = pt(k,j,i) + }EXP( -0.5 * ( z / bubble\_sigma\_z )**2 ) * \&} |
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130 | |
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131 | \texttt{\hphantom{pt(k,j,i) = pt(k,j,i) + }initial\_temperature\_difference} |
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132 | |
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133 | |
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134 | with the locations: |
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135 | |
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136 | \texttt{y = j * dy - bubble\_center\_y} |
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137 | |
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138 | \texttt{z = zu(k) - bubble\_center\_z} |
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139 | |
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140 | \item<4-> Initialize the bubble by the following parameters: |
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141 | |
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142 | \texttt{bubble\_center\_y = 1800.0, bubble\_center\_z = 170.0,} |
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143 | |
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144 | \texttt{bubble\_sigma\_y = 300.0, bubble\_sigma\_z = 150.0,} |
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145 | |
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146 | \texttt{initial\_temperature\_difference = 0.4} |
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147 | \item<5-> Think parallel: Mind that the domain of each PE extends only from \texttt{nxlg} to \texttt{nxrg} and \texttt{nysg} to \texttt{nyng}! (Note that the just mentioned dimensions include ghost points) |
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148 | \end{itemize} |
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149 | \end{frame} |
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150 | |
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151 | % Folie 5 |
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152 | \begin{frame} |
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153 | \frametitle{Hints III} |
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154 | Bulk cloud physics in PALM: |
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155 | \begin{itemize} |
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156 | \scriptsize |
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157 | \item<2-> PALM offers two bulk cloud physics schemes: A very simple, one-moment scheme by Kessler (1969, Meteor. Monogr.) and a state-of-the-art two-moment scheme by Seifert and Beheng (2006, Meteor. Atmos. Phys.). |
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158 | |
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159 | \item<3-> You will use the saturation adjustment scheme, as applied in the Kessler-scheme, for parameterizing condensation. (Note that this kind of scheme is used in the vast majority of today's bulk cloud physics parameterizations.) |
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160 | |
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161 | \item<4-> The liquid water is diagnosed by $q_\text{l} = \max(0, q_\text{t} - q_\text{s})$: If the total water content $q_\text{t}$ exceeds the saturation water content $q_\text{s}$, all supersaturations condensate immediately to liquid water. On the other hand, no liquid water is present in subsaturated conditions. |
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162 | |
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163 | \end{itemize} |
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164 | |
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165 | \onslide<4-> Turn on simple cloud microphysics in your parameter file (\texttt{inipar} namelist): |
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166 | |
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167 | \begin{itemize} |
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168 | \scriptsize |
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169 | \item<5-> \texttt{humidity = .TRUE., cloud\_physics = .TRUE.,} |
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170 | |
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171 | \item<6-> \texttt{cloud\_scheme = 'kessler', precipitation = .FALSE.} |
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172 | \end{itemize} |
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173 | \end{frame} |
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174 | |
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175 | |
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176 | % Folie 6 |
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177 | \begin{frame} |
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178 | \frametitle{Hints IV} |
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179 | |
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180 | What is conditional averaging? |
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181 | \begin{itemize} |
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182 | \scriptsize |
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183 | \item<2-> A horizontal average (e.\,g., for retrieving vertical profiles) might be inappropriate for the analysis of a heterogeneous phenomenon (e.\,g., cumulus clouds). |
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184 | \item<3-> A conditional average can restrict the analysis to the regions of interest (e.\,g., cloudy and non-cloudy regions). |
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185 | \end{itemize} |
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186 | \onslide<4->What kind of conditional average are you going to derive? |
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187 | \begin{itemize} |
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188 | \scriptsize |
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189 | \item<5-> You will derive vertical profiles of \textbf{cloud cover} and \textbf{cloud core cover}. These profiles are the basis for more complex profiles (e.\,g., the cloud core vertical velocity). |
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190 | \item<6-> Cloudy grid cells are defined as grid cells with a non-zero liquid water content ($q_\text{l}>0$, \texttt{ql(k,j,i) > 0.0}). Cloud core grid cells are defined as cloudy grid cells, which are also positively buoyant with respect to the slab average ($\theta_\text{v}>\langle \theta_\text{v} \rangle$, \texttt{vpt(k,j,i) > hom(k,1,44,sr)}). |
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191 | \end{itemize} |
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192 | \end{frame} |
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193 | |
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194 | % Folie 7 |
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195 | \begin{frame} |
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196 | \frametitle{Hints V} |
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197 | |
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198 | PALM offers a convenient way to compute and output user-profiles: |
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199 | \begin{itemize} |
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200 | \scriptsize |
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201 | \item<2-> In the subroutine \texttt{user\_statistics}, you can compute the cloud cover profile by counting all cloudy grid cells at a certain grid level \texttt{k}: |
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202 | |
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203 | \texttt{IF ( ql(k,j,i) > 0.0 ) THEN} |
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204 | |
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205 | \texttt{\hphantom{aaa}sums\_l(k,pr\_palm+1,tn) = sums\_l(k,pr\_palm+1,tn) + 1.0} |
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206 | |
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207 | \texttt{ENDIF} |
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208 | |
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209 | \item<3-> The computation of the cloud core cover profile is up to you! |
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210 | |
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211 | |
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212 | \item<4-> PALM automatically cares for the summation across the PE's boundaries and the normalization of the profiles (i.\,e., dividing it by the total amount of grid cells in horizontal directions). |
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213 | |
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214 | \item<5-> Do not forget to adapt \texttt{user\_check\_data\_output\_pr} (for defining your user-profiles) and your parameter file (\texttt{userpar} namelist) for the output (with the parameter \texttt{data\_output\_pr\_user = 'your\_profile'})! |
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215 | \item<6-> Check the online documentation of PALM for more detailed information on the implementation of user profiles:\\ |
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216 | \texttt{\hphantom{aaa}http://palm.muk.uni-hannover.de/trac/wiki/doc/app/userint/output\#part\_1}\\ |
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217 | Further examples are also provided within the subroutines \texttt{user\_statistics} and \texttt{user\_check\_data\_output\_pr}. |
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218 | |
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219 | \end{itemize} |
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220 | \end{frame} |
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221 | |
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222 | \section{Tasks} |
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223 | \subsection{Tasks} |
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224 | % Folie 8 |
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225 | \begin{frame} |
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226 | \frametitle{Tasks to be done:} |
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227 | |
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228 | \begin{itemize} |
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229 | \item<1-> Output instantaneous yz-cross sections of \texttt{ql} and \texttt{w} at \texttt{section\_yz = 0}. (\texttt{pt}, \texttt{q} and \texttt{vpt} are also interesting!) An output interval of $60\,\text{s}$ is adequate. |
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230 | \item<2-> Output instantaneous vertical profiles of cloud cover and cloud core cover! Again, an output interval of $60\,\text{s}$ is adequate. |
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231 | \item<3-> Answer the following questions: |
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232 | \begin{itemize} |
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233 | \item How does the cloud develop? |
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234 | \item Can you identify the \textit{actively growing} and the \textit{decaying stage} of the cloud's life cycle by comparing the profiles of cloud and cloud core cover profiles? (Mind the profiles' definitions and physical implications!) |
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235 | \end{itemize} |
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236 | \item<4-> If you are really fast: What changes during the cloud's development turning on precipitation (\texttt{precipitation = .TRUE.})? |
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237 | \end{itemize} |
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238 | |
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239 | \end{frame} |
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240 | |
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241 | % Folie 9 |
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242 | \section{Results} |
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243 | \subsection{Results} |
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244 | |
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245 | \begin{frame} |
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246 | \frametitle{$yz$-cross sections at $t \approx \unit[500]{s}$} |
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247 | % The bubble of warm air rises, but has not reached its condensation level. |
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248 | \vspace{-5mm} |
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249 | \begin{center} |
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250 | \includegraphics[angle=90,width=1.0\textwidth]{exercise_cumulus_figures/500.pdf} |
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251 | \end{center} |
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252 | \end{frame} |
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253 | |
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254 | % Folie 8 |
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255 | \begin{frame} |
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256 | \frametitle{$yz$-cross sections at $t \approx \unit[800]{s}$} |
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257 | % Condensation starts, and the cloud appears as the the visible top of the rising bubble. |
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258 | \vspace{-5mm} |
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259 | \begin{center} |
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260 | \includegraphics[angle=90,width=1.0\textwidth]{exercise_cumulus_figures/800.pdf} |
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261 | \end{center} |
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262 | \end{frame} |
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263 | |
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264 | % Folie 9 |
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265 | \begin{frame} |
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266 | \frametitle{$yz$-cross sections at $t \approx \unit[1200]{s}$} |
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267 | % The cloud is vigorously growing. |
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268 | \vspace{-5mm} |
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269 | \begin{center} |
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270 | \includegraphics[angle=90,width=1.0\textwidth]{exercise_cumulus_figures/1200.pdf} |
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271 | \end{center} |
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272 | \end{frame} |
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273 | |
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274 | % Folie 9 |
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275 | \begin{frame} |
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276 | \frametitle{$yz$-cross sections at $t \approx \unit[1500]{s}$} |
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277 | % The cloud dilutes and dissipates due to turbulent entrainment of environmental air. |
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278 | \vspace{-5mm} |
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279 | \begin{center} |
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280 | \includegraphics[angle=90,width=1.0\textwidth]{exercise_cumulus_figures/1500.pdf} |
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281 | \end{center} |
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282 | \end{frame} |
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283 | |
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284 | % Folie 10 |
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285 | \begin{frame} |
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286 | \frametitle{Cloud cover (clcov) and cloud core cover (cocov) profiles} |
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287 | \begin{center} |
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288 | \includegraphics[width=1.0\textwidth]{exercise_cumulus_figures/prof.pdf} |
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289 | \end{center} |
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290 | \end{frame} |
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291 | |
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292 | %\section{Answers} |
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293 | \subsection*{Answers} |
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294 | % Folie 13 |
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295 | \begin{frame} |
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296 | \frametitle{Answers to questions I} |
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297 | {\footnotesize } |
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298 | How does the cloud develop? |
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299 | {\footnotesize } |
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300 | \begin{itemize} |
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301 | \item See frames 9 -- 12: The clouds develops from a rising bubble of warm air ($t \approx \unit[500]{s}$). Reaching the condensation level ($t \approx \unit[800]{s}$), the cloud appears as the bubble's visible top. Afterwards, the cloud starts to grow more vigorously by the release of latent heat ($t \approx \unit[1200]{s}$). In the end of the cloud's life-cycle, the cloud dissipates by turbulent entrainment of environmental air and the subsequent evaporation of the cloud ($t \approx \unit[1500]{s}$). |
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302 | \end{itemize} |
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303 | \end{frame} |
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304 | |
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305 | \begin{frame} |
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306 | \frametitle{Answers to questions II} |
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307 | {\footnotesize } |
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308 | Can you identify the (i) actively growing and (ii) decaying stage of the cloud's life cycle by comparing the profiles of cloud and cloud core cover profiles? |
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309 | {\footnotesize } |
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310 | \begin{itemize} |
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311 | \item See Frame 13: As long as the cloud core is present, i.\,e., a positively buoyant region producing upward motion, the cloud grows actively (until $1400\,\text{s}$). From $1500\,\text{s}$ on, no cloud core is visible. As a result, the cloud's upward motion decelerates and the rate of condensation decreases. Thus, the cloud's dilution by the entrainment of environmental air can not be counterbalanced anymore. As a consequence, the cloud decays and finally dissipates. |
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312 | \end{itemize} |
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313 | \end{frame} |
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314 | |
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315 | \begin{frame} |
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316 | \frametitle{Answers to questions III} |
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317 | {\footnotesize } |
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318 | What changes during the cloud's development turning on precipitation (\texttt{precipitation = .TRUE.})? |
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319 | {\footnotesize } |
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320 | \begin{itemize} |
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321 | \item Almost nothing. The simulated cloud is very shallow, therefore no significant masses of rain are produced that might alter the cloud. |
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322 | \end{itemize} |
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323 | \end{frame} |
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324 | |
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325 | \end{document} |
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