source: branches/nemo_v3_3_beta/DOC/TexFiles/Chapters/Chap_ASM.tex @ 2298

% ================================================================
% Chapter Assimilation increments (ASM)
% ================================================================
\chapter{Apply assimilation increments (ASM)}
\label{ASM}

Authors: D. Lea, K. Mogensen, A. Weaver, M. Martin ...

\minitoc


\newpage
$\ $\newline    % force a new line

The ASM branch adds the functionality to apply increments to model variables, 
temperature, salinity, sea surface height, velocity and sea ice concentration. 
These are read into the model from a file which may be produced by data assimilation. 
This code is controlled by the namelist \np{nam\_asminc}. 
There is a brief description of all the namelist options provided. 
To build the ASM code \np{key\_asminc} must be set.

%===============================================================

\subsection{Direct initialization}

Direct initialization refers to the instantaneous correction
of the model background state using the analysis increment.

\subsection{Incremental Analysis Updates}

Rather than updating the model state directly with the analysis increment,
it may be preferable to introduce the increment gradually into the ocean
model in order to minimize spurious adjustment processes. This technique
is referred to as Incremental Analysis Updates (IAU) \citep{Bloom_al_MWR96}.
IAU is a common technique used with 3D assimilation methods such as 3D-Var or OI.

With IAU, the model state trajectory in the assimilation window 
($t_{0} \leq t_{i} \leq t_{N}$)
is corrected by adding the analysis increments for 
for temperature, salinity, horizontal velocity and SSH
as additional tendency terms to the prognostic equations:
\begin{eqnarray}
{\bf x}^{a}(t_{i}) = M(t_{i}, t_{0})[{\bf x}^{b}(t_{0})] 
\; + \; F_{i} \delta \tilde{\bf x}^{a} 
\label{eq:wa_traj_iau}
\end{eqnarray}
where $F_{i}$ is a weighting function defined such that $\sum_{i=1}^{N} F_{i}=1$. 
To control the adjustment time of the model to the increment,
the increment can be applied over an arbitrary sub-window,
$t_{m} \leq t_{i} \leq t_{n}$, of the main assimilation window,
where $t_{0} \leq t_{m} \leq t_{i}$ and $t_{i} \leq t_{n} \leq t_{N}$,
Typically the increments are spread evenly over the full window.
In addition, two different weighting functions have been implemented.
The first function employs constant weights, 
\begin{eqnarray}
F^{(1)}_{i}
=\left\{ \begin{array}{ll}
   0   & 
   {\rm if} \; \; \; t_{i} < t_{m} \\
   1/M & 
   {\rm if} \; \; \; t_{m} < t_{i} \leq t_{n} \\
   0  &
   {\rm if} \; \; \; t_{i} > t_{n}
  \end{array} \right. 
\label{eq:F1_i}
\end{eqnarray}
where $M = m-n$.
The second function employs peaked hat-like weights in order to give maximum 
weight in the centre of the sub-window, with the weighting reduced 
linearly to a small value at the window end-points.
\begin{eqnarray}
F^{(2)}_{i}
=\left\{ \begin{array}{ll}
   0   & 
   {\rm if} \; \; \; t_{i} < t_{m} \\
   \alpha \, i & 
   {\rm if} \; \; \; t_{m} \leq t_{i} \leq t_{M/2} \\
   \alpha \, (M - i +1) & 
   {\rm if} \; \; \; t_{M/2} < t_{i} \leq t_{n} \\
   0  &
   {\rm if} \; \; \; t_{i} > t_{n}
  \end{array} \right.
\label{eq:F2_i}
\end{eqnarray}
where $\alpha^{-1} = \sum_{i=1}^{M/2} 2i$ and $M$ is assumed to be even. 
The weights described by Eq.~(\ref{eq:F2_i}) provide a 
smoother transition of the analysis trajectory from one assimilation cycle 
to the next than that described by Eq.~(\ref{eq:F1_i}).

%==========================================================================

\section{Implementation details}
\label{ASM_details}

Here we show an example namelist and the header of an example assimilation 
increments file on the ORCA2 grid.

%------------------------------------------namasm-----------------------------------------------------
\namdisplay{namasm}
%-------------------------------------------------------------------------------------------------------------

\subsection{Assimilation increments file}

The header of an assimilation increments file produced using \np{ncdump -h} is shown below

\begin{alltt}
\tiny
\begin{verbatim}
netcdf assim_background_increments {
dimensions:
        x = 182 ;
        y = 149 ;
        z = 31 ;
        t = UNLIMITED ; // (1 currently)
variables:
        float nav_lon(y, x) ;
        float nav_lat(y, x) ;
        float nav_lev(z) ;
        double time_counter(t) ;
        double time ;
        double z_inc_dateb ;
        double z_inc_datef ;
        double bckint(t, z, y, x) ;
        double bckins(t, z, y, x) ;
        double bckinu(t, z, y, x) ;
        double bckinv(t, z, y, x) ;
        double bckineta(t, y, x) ;

// global attributes:
                :DOMAIN_number_total = 1 ;
                :DOMAIN_number = 0 ;
                :DOMAIN_dimensions_ids = 1, 2 ;
                :DOMAIN_size_global = 182, 149 ;
                :DOMAIN_size_local = 182, 149 ;
                :DOMAIN_position_first = 1, 1 ;
                :DOMAIN_position_last = 182, 149 ;
                :DOMAIN_halo_size_start = 0, 0 ;
                :DOMAIN_halo_size_end = 0, 0 ;
                :DOMAIN_type = "BOX" ;
}
\end{verbatim}
\end{alltt}