/[MITgcm]/manual/s_phys_pkgs/text/fizhi.tex

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-revision 1.12 by molod,
Tue Aug  2 21:17:38 2005 UTC
+revision 1.17 by molod,
Wed Jun 28 15:35:07 2006 UTC
 Line 169 
 RH_{min} & = & 0.75 \nonumber \\
  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}}
    \vspace{0.4in}
    \caption  [Critical Relative Humidity for Clouds.]
              {Critical Relative Humidity for Clouds.}
-   \label{fig:fizhi:rhcrit}
+   \label{fig.rhcrit}
  \end{figure*}
  The total cloud fraction in a grid box is determined by the larger of the two cloud fractions:
 Line 308 
 cloud cover of all the layers in the gro
  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
+ The solar flux is computed for each of eight cloud realizations possible within this
- (see Figure \ref{fig:fizhi:cloud}) 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}.
-Line 686 
 are shown in Table \ref{tab:fizhi:surfty
+Line 675 
 are shown in Table \ref{tab:fizhi:surfty
  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
 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}
-Line 716 
 Type & Vegetation Designation \\ \hline
+Line 705 
 Type & Vegetation Designation \\ \hline
 & Ocean \\ \hline
  \end{tabular}
  \end{center}
- \caption{Surface type designations used to compute surface roughness (over land)
+ \caption{Surface type designations.}
- and surface albedo.}
  \label{tab:fizhi:surftype}
  \end{table}
  \begin{figure*}[htbp]
-   \centerline{  \epsfysize=7in  \epsfbox{part6/surftypes.ps}}
+   \centerline{  \epsfysize=4.0in  \epsfbox{part6/surftype.eps}}
-   \vspace{0.3in}
+   \vspace{0.2in}
-   \caption  {Surface Type Compinations at \txt resolution.}
+   \caption  {Surface Type Combinations.}
    \label{fig:fizhi:surftype}
  \end{figure*}
- \begin{figure*}[htbp]
+ % \rotatebox{270}{\centerline{  \epsfysize=4in  \epsfbox{part6/surftypes.eps}}}
-   \centerline{  \epsfysize=7in  \epsfbox{part6/surftypes.descrip.ps}}
+ % \rotatebox{270}{\centerline{  \epsfysize=4in  \epsfbox{part6/surftypes.descrip.eps}}}
-   \vspace{0.3in}
+ %\begin{figure*}[htbp]
-   \caption  {Surface Type Descriptions.}
+ %  \centerline{  \epsfysize=4in  \epsfbox{part6/surftypes.descrip.ps}}
-   \label{fig:fizhi:surftype.desc}
+ %  \vspace{0.3in}
- \end{figure*}
+ %  \caption  {Surface Type Descriptions.}
+ %  \label{fig:fizhi:surftype.desc}
+ %\end{figure*}
  \paragraph{Surface Roughness}
-Line 754 
 sun), the greenness fraction, the vegeta
+Line 743 
 sun), the greenness fraction, the vegeta
  Modifications are made to account for the presence of snow, and its depth relative
  to the height of the vegetation elements.
- \paragraph{Gravity Wave Drag}:
+ \paragraph{Gravity Wave Drag}
  The fizhi package employs the gravity wave drag scheme of \cite{zhouetal:95}).
  This scheme is a modified version of Vernekar et al. (1992),
-Line 797 
 fields include:  sea surface temperature
+Line 786 
 fields include:  sea surface temperature
  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
+ current time.
- higher spatial \mbox{($1^\circ$ x $1^\circ$)} resolutions.
  \begin{table}[htb]
  \begin{center}
-Line 840 
 The sub-grid scale variance is construct
+Line 828 
 The sub-grid scale variance is construct
  \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.
-Line 849 
 a linear interpolation (in pressure) is
+Line 837 
 a linear interpolation (in pressure) is
  \subsubsection{Fizhi Diagnostics}
  Fizhi Diagnostic Menu:
- \label{sec:fizhi-diagnostics:menu}
+ \label{sec:pkg:fizhi:diagnostics}
  \begin{tabular}{llll}
  \hline\hline
-Line 1381 
 Fizhi Diagnostic Description:
+Line 1369 
 Fizhi Diagnostic Description:
  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:
-Line 2983 
 q^{n+1} = (\pi q)^{n+1} / \pi^{n+1}
+Line 2971 
 q^{n+1} = (\pi q)^{n+1} / \pi^{n+1}
  \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}

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