--- manual/s_ecco/text/ecco_costfunction.tex 2004/05/27 00:06:06 1.2 +++ manual/s_ecco/text/ecco_costfunction.tex 2004/07/08 23:18:08 1.3 @@ -59,7 +59,7 @@ \begin{enumerate} % \item -Compute 11yr model mean spatial distribution +Compute $nYears$ model mean spatial distribution % \begin{equation} psmean(i,j)\, =\, @@ -68,7 +68,7 @@ \end{equation} % \item -Compute global offset between 11-yr model and T/P mean: +Compute global offset between $nYears$ model and T/P mean: % \begin{equation} \begin{split} @@ -289,8 +289,8 @@ [ppt] \\ {\it wti, wsi} & {\tt data\_errfile} & vert. stdev. profile for $T$, $S$ & ~ \\ -{\it wtheta2} & {\tt temperrfile} & ~ & [$^{\circ}$C] \\ -{\it wsalt2} & {\tt salterrfile} & ~ & [ppt] \\ +{\it wtvar} & {\tt temperrfile} & spatially varying stdev. & [$^{\circ}$C] \\ +{\it wsvar} & {\tt salterrfile} & spatially varying stdev. & [ppt] \\ ~&~&~&~\\ \hline \hline \end{tabular} @@ -301,9 +301,9 @@ \begin{equation} \begin{split} -cost\_xbt\_t(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wtheta2} \sum_{\tau=1}^{nMonsRec} -\left\{ Tbar(\tau) \, - \, T2\theta[xbtobs(\tau)] \right\}^2 \, \right](i,j) +cost\_xbt\_t(i,j,k) & = \, +\left[ \, \frac{fac \cdot ratio}{wti^2 + wtvar^2} \sum_{\tau=1}^{nMonsRec} +\left\{ Tbar(\tau) \, - \, T2\theta[xbtobs(\tau)] \right\}^2 \, \right](i,j,k) \\ \end{split} \end{equation} @@ -312,13 +312,13 @@ \begin{equation} \begin{split} -cost\_ctd\_t(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wtheta2} \sum_{\tau=1}^{nMonsRec} -\left\{ Tbar(\tau) \, - \, ctdTobs(\tau) \right\}^2 \, \right](i,j) +cost\_ctd\_t(i,j,k) & = \, +\left[ \, \frac{fac \cdot ratio}{wti^2 + wtvar^2} \sum_{\tau=1}^{nMonsRec} +\left\{ Tbar(\tau) \, - \, ctdTobs(\tau) \right\}^2 \, \right](i,j,k) \\ -cost\_ctd\_s(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wsalt2} \sum_{\tau=1}^{nMonsRec} -\left\{ Sbar(\tau) \, - \, ctdSobs(\tau) \right\}^2 \, \right](i,j) +cost\_ctd\_s(i,j,k) & = \, +\left[ \, \frac{fac \cdot ratio}{wsi^2 + wsvar^2} \sum_{\tau=1}^{nMonsRec} +\left\{ Sbar(\tau) \, - \, ctdSobs(\tau) \right\}^2 \, \right](i,j,k) \\ \end{split} \end{equation} @@ -327,13 +327,13 @@ \begin{equation} \begin{split} -cost\_argo\_t(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wtheta2} \sum_{\tau=1}^{nMonsRec} -\left\{ Tbar(\tau) \, - \, T2\theta[argoTobs(\tau)] \right\}^2 \, \right](i,j) +cost\_argo\_t(i,j,k) & = \, +\left[ \, \frac{fac \cdot ratio}{wti^2 + wvar^2} \sum_{\tau=1}^{nMonsRec} +\left\{ Tbar(\tau) \, - \, T2\theta[argoTobs(\tau)] \right\}^2 \, \right](i,j,k) \\ -cost\_argo\_s(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wsalt2} \sum_{\tau=1}^{nMonsRec} -\left\{ Sbar(\tau) \, - \, argoSobs(\tau) \right\}^2 \, \right](i,j) +cost\_argo\_s(i,j,k) & = \, +\left[ \, \frac{fac \cdot ratio}{wsi^2 + wsvar^2} \sum_{\tau=1}^{nMonsRec} +\left\{ Sbar(\tau) \, - \, argoSobs(\tau) \right\}^2 \, \right](i,j,k) \\ \end{split} \end{equation} @@ -343,11 +343,11 @@ \begin{equation} \begin{split} cost\_sst(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wsst} \sum_{\tau=1}^{nMonsRec} +\left[ \, wsst \sum_{\tau=1}^{nMonsRec} \left\{ Tbar(\tau) \, - \, sstDat(\tau) \right\}^2 \, \right](i,j) \\ cost\_sss(i,j) & = \, -\left[ \, \frac{cosphi \cdot mask}{wsss} \sum_{\tau=1}^{nMonsRec} +\left[ \, wsss \sum_{\tau=1}^{nMonsRec} \left\{ Sbar(\tau) \, - \, sssDat(\tau) \right\}^2 \, \right](i,j) \\ \end{split} @@ -355,6 +355,31 @@ \subsubsection{Levitus montly T, S climatological data} +Model vs. data misfits are taken from $nYears$ monthly model means +vs. Levitus monthly data. +The description below is for potential temperature. +Procedure for salinity is fully analogous. +Spatial indices $(i,j,k)$ are omitted throughout. +% +\begin{enumerate} +% +\item +Compute $nYears$ monthly model means for each month $imon$: +\[ +\overline{Tbar}(imon) \, = \, \frac{1}{nYears} +\sum_{iyear=1}^{nYears} Tbar(iyear,imon) +\] +% +\item +Compute misfit: +\[ +cost\_theta(i,j,k) \, = \, \left[ +\frac{fac \cdot ratio}{wti^2} \sum_{imon=1}^{12} +\left\{ \overline{Tbar}(imon) \, - \, Tdat(imon) \right\}^2 \right] (i,j,k) +\] + +\end{enumerate} + \subsubsection{Weights and notes} @@ -370,12 +395,15 @@ \] % \item -Spatially constant weights: +$ fac \, = \, cosphi \cdot mask $ +% +\item +Spatially {\it constant} weights: % \begin{enumerate} % \item -Read standard deviation fields \\ +Read standard deviation vertical profiles for $T$, $S$ \\ $ {\tt data\_errfile} \, \longrightarrow \, wti(k), \,\, wsi(k) $ \\ $ {\tt data\_errfile} \, \longrightarrow \, @@ -385,32 +413,32 @@ Take inverse squares: \[ \begin{split} -wtheta(k) & = \, \frac{ratio}{wti(k) \cdot wti(k)} \\ -wsalt(k) & = \, \frac{ratio}{wsi(k) \cdot wsi(k)} \\ +wtheta(k) & = \, \frac{ratio}{wti(k)^2} \\ +wsalt(k) & = \, \frac{ratio}{wsi(k)^2} \\ \end{split} \] % \end{enumerate} % \item -Spatially varying weights: +Spatially {\it varying} weights: % \begin{enumerate} % \item Read standard deviation fields \\ -$ {\tt temperrfile} \, \longrightarrow \, wtheta2(i,j,k) $ \\ -$ {\tt salterrfile} \, \longrightarrow \, wsalt2(i,j,k) $ \\ +$ {\tt temperrfile} \, \longrightarrow \, wtvar(i,j,k) $ \\ +$ {\tt salterrfile} \, \longrightarrow \, wsvar(i,j,k) $ \\ % \item Weights are combination of spatially constant and varying parts: \[ \begin{split} wtheta2(i,j,k) & = \, \frac{ratio} -{wti(k) \cdot wti(k) \, + \,wtheta2(i,j,k) \cdot wtheta2(i,j,k) } \\ +{wti(k)^2 \, + \,wtvar(i,j,k)^2 } \\ wsalt2(i,j,k) & = \, \frac{ratio} -{wsi(k) \cdot wsi(k) \, + \,wsalt2(i,j,k) \cdot wsalt2(i,j,k) } \\ +{wsi(k)^2 \, + \,wsvar(i,j,k)^2 } \\ \end{split} \] % @@ -420,9 +448,9 @@ Sea surface $T$, $S$ weights: \begin{itemize} \item -SST: $ wsst \, = \, wtheta(1)$: horizontally constant +SST: $ wsst \, = \, fac \cdot wtheta(1)$: horizontally constant \item -SSS: $ wsss \, = \, wsalt2(i,j,1)$: horizontally varying +SSS: $ wsss \, = \, fac \cdot wsalt2(i,j,1)$: horizontally varying \end{itemize} (Why this difference? I don't know.) % @@ -434,7 +462,7 @@ \begin{itemize} % \item -Map out $wtheta2(i,j)$, $wsalt2(i,j)$. +Map out $wtheta2(i,j,k)$, $wsalt2(i,j,k)$. % \end{itemize}