--- manual/s_phys_pkgs/text/fizhi.tex 2005/08/02 15:50:51 1.11 +++ manual/s_phys_pkgs/text/fizhi.tex 2010/08/27 13:15:37 1.18 @@ -169,15 +169,15 @@ These cloud fractions are suppressed, however, in regions where the convective sub-cloud layer is conditionally unstable. The functional form of $RH_c$ is shown in -Figure (\ref{fig:fizhi:rhcrit}). +Figure (\ref{fig.rhcrit}). \begin{figure*}[htbp] \vspace{0.4in} - \centerline{ \epsfysize=4.0in \epsfbox{part6/rhcrit.ps}} + \centerline{ \epsfysize=4.0in \epsfbox{s_phys_pkgs/figs/rhcrit.ps}} \vspace{0.4in} - \caption [Critical Relative Humidity for Clouds.] - {Critical Relative Humidity for Clouds.} - \label{fig:fizhi:rhcrit} + \caption [Critical Relative Humidity for Clouds.] + {Critical Relative Humidity for Clouds.} + \label{fig.rhcrit} \end{figure*} The total cloud fraction in a grid box is determined by the larger of the two cloud fractions: @@ -308,20 +308,9 @@ of a given layer is then scaled for both the direct (as a function of the solar zenith angle) and diffuse beam radiation so that the grouped layer reflectance is the same as the original reflectance. -The solar flux is computed for each of the eight cloud realizations possible -(see Figure \ref{fig:fizhi:cloud}) within this +The solar flux is computed for each of eight cloud realizations possible within this low/middle/high classification, and appropriately averaged to produce the net solar flux. -\begin{figure*}[htbp] - \vspace{0.4in} - \centerline{ \epsfysize=4.0in %\epsfbox{part6/rhcrit.ps} - } - \vspace{0.4in} - \caption {Low-Middle-High Cloud Configurations} - \label{fig:fizhi:cloud} -\end{figure*} - - \paragraph{Longwave Radiation} The longwave radiation package used in the fizhi package is thoroughly described by \cite{chsz:94}. @@ -360,7 +349,7 @@ \end{tabular} \end{center} \vspace{0.1in} -\caption{IR Spectral Bands, Absorbers, and Parameterization Method (from \cite{chzs:94})} +\caption{IR Spectral Bands, Absorbers, and Parameterization Method (from \cite{chsz:94})} \label{tab:fizhi:longwave} \end{table} @@ -431,7 +420,7 @@ hours). Therefore, in a time-averaged sense, both convective and large-scale cloudiness can exist in a given grid-box. -Turbulence: +\paragraph{Turbulence}: Turbulence is parameterized in the fizhi package to account for its contribution to the vertical exchange of heat, moisture, and momentum. @@ -686,13 +675,13 @@ cell occupied by any surface type were derived from the surface classification of \cite{deftow:94}, and information about the location of permanent ice was obtained from the classifications of \cite{dorsell:89}. -The surface type for the \txt GCM grid is shown in Figure \ref{fig:fizhi:surftype}. +The surface type map for a $1^\circ$ grid is shown in Figure \ref{fig:fizhi:surftype}. The determination of the land or sea category of surface type was made from NCAR's 10 minute by 10 minute Navy topography dataset, which includes information about the percentage of water-cover at any point. -The data were averaged to the model's \fxf and \txt grid resolutions, +The data were averaged to the model's grid resolutions, and any grid-box whose averaged water percentage was $\geq 60 \%$ was -defined as a water point. The \fxf grid Land-Water designation was further modified +defined as a water point. The Land-Water designation was further modified subjectively to ensure sufficient representation from small but isolated land and water regions. \begin{table} @@ -716,25 +705,25 @@ 100 & Ocean \\ \hline \end{tabular} \end{center} -\caption{Surface type designations used to compute surface roughness (over land) -and surface albedo.} +\caption{Surface type designations.} \label{tab:fizhi:surftype} \end{table} - \begin{figure*}[htbp] - \centerline{ \epsfysize=7in \epsfbox{part6/surftypes.ps}} - \vspace{0.3in} - \caption {Surface Type Compinations at \txt resolution.} + \centerline{ \epsfysize=4.0in \epsfbox{s_phys_pkgs/figs/surftype.eps}} + \vspace{0.2in} + \caption {Surface Type Combinations.} \label{fig:fizhi:surftype} \end{figure*} -\begin{figure*}[htbp] - \centerline{ \epsfysize=7in \epsfbox{part6/surftypes.descrip.ps}} - \vspace{0.3in} - \caption {Surface Type Descriptions.} - \label{fig:fizhi:surftype.desc} -\end{figure*} +% \rotatebox{270}{\centerline{ \epsfysize=4in \epsfbox{s_phys_pkgs/figs/surftypes.eps}}} +% \rotatebox{270}{\centerline{ \epsfysize=4in \epsfbox{s_phys_pkgs/figs/surftypes.descrip.eps}}} +%\begin{figure*}[htbp] +% \centerline{ \epsfysize=4in \epsfbox{s_phys_pkgs/figs/surftypes.descrip.ps}} +% \vspace{0.3in} +% \caption {Surface Type Descriptions.} +% \label{fig:fizhi:surftype.desc} +%\end{figure*} \paragraph{Surface Roughness} @@ -754,9 +743,9 @@ Modifications are made to account for the presence of snow, and its depth relative to the height of the vegetation elements. -Gravity Wave Drag: +\paragraph{Gravity Wave Drag} -The fizhi package employs the gravity wave drag scheme of \cite{zhouetal:96}). +The fizhi package employs the gravity wave drag scheme of \cite{zhouetal:95}). This scheme is a modified version of Vernekar et al. (1992), which was based on Alpert et al. (1988) and Helfand et al. (1987). In this version, the gravity wave stress at the surface is @@ -797,13 +786,12 @@ vegetation index, and the radiation-related background levels of: ozone, carbon dioxide, and stratospheric moisture. -Boundary condition data sets are available at the model's \fxf and \txt +Boundary condition data sets are available at the model's resolutions for either climatological or yearly varying conditions. Any frequency of boundary condition data can be used in the fizhi package; however, the current selection of data is summarized in Table \ref{tab:fizhi:bcdata}\@. The time mean values are interpolated during each model timestep to the -current time. Future model versions will incorporate boundary conditions at -higher spatial \mbox{($1^\circ$ x $1^\circ$)} resolutions. +current time. \begin{table}[htb] \begin{center} @@ -840,7 +828,7 @@ \paragraph{Upper Level Moisture} The fizhi package uses climatological water vapor data above 100 mb from the Stratospheric Aerosol and Gas Experiment (SAGE) as input into the model's radiation packages. The SAGE data is archived -as monthly zonal means at 5$^\circ$ latitudinal resolution. The data is interpolated to the +as monthly zonal means at $5^\circ$ latitudinal resolution. The data is interpolated to the model's grid location and current time, and blended with the GCM's moisture data. Below 300 mb, the model's moisture data is used. Above 100 mb, the SAGE data is used. Between 100 and 300 mb, a linear interpolation (in pressure) is performed using the data from SAGE and the GCM. @@ -849,7 +837,7 @@ \subsubsection{Fizhi Diagnostics} Fizhi Diagnostic Menu: -\label{sec:fizhi-diagnostics:menu} +\label{sec:pkg:fizhi:diagnostics} \begin{tabular}{llll} \hline\hline @@ -1381,7 +1369,7 @@ In this section we list and describe the diagnostic quantities available within the GCM. The diagnostics are listed in the order that they appear in the -Diagnostic Menu, Section \ref{sec:fizhi-diagnostics:menu}. +Diagnostic Menu, Section \ref{sec:pkg:fizhi:diagnostics}. In all cases, each diagnostic as currently archived on the output datasets is time-averaged over its diagnostic output frequency: @@ -2983,3 +2971,12 @@ \subsubsection{Dos and donts} \subsubsection{Fizhi Reference} + +\subsubsection{Experiments and tutorials that use fizhi} +\label{sec:pkg:fizhi:experiments} + +\begin{itemize} +\item{Global atmosphere experiment with realistic SST and topography in fizhi-cs-32x32x10 verification directory. } +\item{Global atmosphere aqua planet experiment in fizhi-cs-aqualev20 verification directory. } +\end{itemize} +