\documentclass[../main/NEMO_manual]{subfiles}
\begin{document}
\chapter{Apply Assimilation Increments (ASM)}
\label{chap:ASM}
% {\em 4.0} & {\em D. J. Lea} & {\em \NEMO\ 4.0 updates} \\
% {\em 3.4} & {\em D. J. Lea, M. Martin, K. Mogensen, A. Weaver} & {\em Initial version} \\
\chaptertoc
\paragraph{Changes record} ~\\
{\footnotesize
\begin{tabularx}{\textwidth}{l||X|X}
Release & Author(s) & Modifications \\
\hline
{\em 5.0} &
{\em M. Bell} &
{\em Update of the IAU section} \\
{\em 4.0} & {\em ...} & {\em ...} \\
{\em 3.6} & {\em ...} & {\em ...} \\
{\em 3.4} & {\em ...} & {\em ...} \\
{\em <=3.4} & {\em ...} & {\em ...}
\end{tabularx}
}
\clearpage
The ASM code adds the functionality to apply increments to the model variables: temperature, salinity,
sea surface height, velocity and sea ice concentration.
These are read into the model from a NetCDF file which may be produced by separate data assimilation code.
The code can also output model background fields which are used as an input to data assimilation code.
This is all controlled by the namelist \nam{_asminc}{\_asminc}.
There is a brief description of all the namelist options provided.
To build the ASM code \key{asminc} must be set.
%% =================================================================================================
\section{Direct initialization}
\label{sec:ASM_DI}
Direct initialization (DI) refers to the instantaneous correction of the model background state using
the analysis increment.
DI is used when \np{ln_asmdin}{ln\_asmdin} is set to true.
%% =================================================================================================
\section{Incremental analysis updates}
\label{sec:ASM_IAU}
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.takacs.ea_MWR96}.
IAU is a common technique used with 3D assimilation methods such as 3D-Var or OI.
IAU is used when \np{ln_asmiau}{ln\_asmiau} is set to true.
With IAU, the model state trajectory ${\mathbf x}$ in the assimilation window ($t_{0} \leq t_{i} \leq t_{N}$)
is corrected by adding the analysis increments for temperature, salinity, horizontal velocity and SSH as
additional tendency terms to the prognostic equations:
\begin{align*}
% \label{eq:ASM_wa_traj_iau}
{\mathbf x}^{a}(t_{i}) = M(t_{i}, t_{0})[{\mathbf x}^{b}(t_{0})] \; + \; F_{i} \delta \tilde{\mathbf x}^{a}
\end{align*}
where $F_{i}$ is a weighting function for applying the increments $\delta\tilde{\mathbf x}^{a}$ defined such that
$\sum_{i=1}^{N} F_{i}=1$.
${\mathbf x}^b$ denotes the model initial state and ${\mathbf x}^a$ is the model state after the increments are applied.
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 (namelist option \np{niaufn}{niaufn}=0) employs constant weights,
\begin{align}
\label{eq:ASM_F1_i}
F^{(1)}_{i}
=\left\{
\begin{array}{ll}
0 & {\mathrm if} \; \; \; t_{i} < t_{m} \\
1/M & {\mathrm if} \; \; \; t_{m} < t_{i} \leq t_{n} \\
0 & {\mathrm if} \; \; \; t_{i} > t_{n}
\end{array}
\right.
\end{align}
where $M = m-n$.
The second function (namelist option \np{niaufn}{niaufn}=1) 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{align}
\label{eq:ASM_F2_i}
F^{(2)}_{i}
=\left\{
\begin{array}{ll}
0 & {\mathrm if} \; \; \; t_{i} < t_{m} \\
\alpha \, i & {\mathrm if} \; \; \; t_{m} \leq t_{i} \leq t_{M/2} \\
\alpha \, (M - i +1) & {\mathrm if} \; \; \; t_{M/2} < t_{i} \leq t_{n} \\
0 & {\mathrm if} \; \; \; t_{i} > t_{n}
\end{array}
\right.
\end{align}
where $\alpha^{-1} = \sum_{i=1}^{M/2} 2i$ and $M$ is assumed to be even.
The weights described by \autoref{eq:ASM_F2_i} provide a smoother transition of the analysis trajectory from
one assimilation cycle to the next than that described by \autoref{eq:ASM_F1_i}.
The \NEMO\ IAU code for assimilation of conservative temperature, absolute salinity and horizontal velocity
increments is conceptually straightforward. The horizontal velocity increments are applied by SUBROUTINE
\rou{dyn\_asm\_inc} and the conservative temperature and absolute salinity increments by SUBROUTINE
\rou{tra\_asm\_inc}. Those subroutines are called by \rou{stp\_rk3\_stg3} or by \rou{stp\_mlf} depending on whether the RK3
timestep or the MLF timestep scheme is being used.
The assimilation of surface height increments is less conceptually straightforward because of the way that
\NEMO\ updates the tracer fields. The \NEMO\ model is designed to conserve total heat and salt content. For each
baroclinic timestep, the model calculates the total flux of heat and salt through all the faces of each grid cell
in a single baroclinic time-step. The volume of the cell at the end of the time-step is calculated
from the volume at the start and the volume fluxes through all of its faces. The heat and salt
content of the cell at the start of the timestep is calculated from its conservative temperature, $T$,
and absolute salinity, $S$, values and its volume at that
time. The heat and salt content at the end of the timestep are those at the start minus the fluxes of
heat and salt out of the cell in that timestep. $T$ and $S$ at the end of the timestep are then calculated
using the volume at the end of the timestep.
The surface height assimilation increments change the volume of the cells. In order for this change in volume
to be distributed proportionately across all the cells in a vertical column, increments are made to the horizontal
divergence that is used to calculate the rate of change of the cell thicknesses, $\partial e_3 / \partial t $,
see \autoref{eq:SCOORD_sco_Continuity} in \autoref{apdx:SCOORD}. These increments are calculated by \rou{ssh\_asm\_div}
which is called from within \rou{div\_hor}. In addition \rou{tra\_sbc} calculates and applies increments
to $T$ and $S$ that are proportional to the surface height assimilation increments. Any other tracers
should be updated similarly (the code does not do that currently).
This is the correct thing to do for balanced ssh increments (the ones which do not propagate away within a
baroclinic timestep) but does not appear to be conceptually sound for unbalanced ssh increments. It would
be cleaner conceptually to apply the model increments and the assimilation increments as interleaved, independent
steps but that scheme has not been implemented in \NEMO\ v5.0.
The tests of the IAU code for \NEMO\ v5.0 utilised SETTE's ORCA2\_OBS configuration. This has globally uniform $T$, $S$
and horizontal velocity increment fields. The velocity increments had little impact on the velocities in the RK3
and the MLF.
The assimilation increments are currently applied at all three sub-stages of the RK3 scheme. Tests applying the
increments only on the third sub-stage gave similar results but that code is not included in \NEMO\ v5.0 because
of the limitations of the tests made (see previous paragraph).
The IAU code to assimilate sea-ice concentration data has not been tested at v5.0.
%% =================================================================================================
\section{Divergence damping initialisation}
\label{sec:ASM_div_dmp}
It is quite challenging for data assimilation systems to provide non-divergent velocity increments.
Applying divergent velocity increments will likely cause spurious vertical velocities in the model. This section describes a method to take velocity increments provided to \NEMO\ ($u^0_I$ and $v^0_I$) and adjust them by the iterative application of a divergence damping operator. The method is also described in \citet{dobricic.pinardi.ea_OS07}.
In iteration step $n$ (starting at $n=1$) new estimates of velocity increments $u^{n}_I$ and $v^{n}_I$ are updated by:
\begin{equation}
\label{eq:ASM_dmp}
\left\{
\begin{aligned}
u^{n}_I = u^{n-1}_I + \frac{1}{e_{1u} } \delta_{i+1/2} \left( {A_D
\;\chi^{n-1}_I } \right) \\ \\
v^{n}_I = v^{n-1}_I + \frac{1}{e_{2v} } \delta_{j+1/2} \left( {A_D
\;\chi^{n-1}_I } \right) \\
\end{aligned}
\right.,
\end{equation}
where the divergence is defined as
\[
% \label{eq:ASM_div}
\chi^{n-1}_I = \frac{1}{e_{1t}\,e_{2t}\,e_{3t} }
\left( {\delta_i \left[ {e_{2u}\,e_{3u}\,u^{n-1}_I} \right]
+\delta_j \left[ {e_{1v}\,e_{3v}\,v^{n-1}_I} \right]} \right).
\]
By the application of \autoref{eq:ASM_dmp} the divergence is filtered in each iteration,
and the vorticity is left unchanged.
In the presence of coastal boundaries with zero velocity increments perpendicular to the coast
the divergence is strongly damped.
This type of the initialisation reduces the vertical velocity magnitude and
alleviates the problem of the excessive unphysical vertical mixing in the first steps of the model integration
\citep{talagrand_JAS72, dobricic.pinardi.ea_OS07}.
Diffusion coefficients are defined as $A_D = \alpha e_{1t} e_{2t}$, where $\alpha = 0.2$.
The divergence damping is activated by assigning to \np{nn_divdmp}{nn\_divdmp} in the \nam{_asminc}{\_asminc} namelist
a value greater than zero.
This specifies the number of iterations of the divergence damping. Setting a value of the order of 100 will result in a significant reduction in the vertical velocity induced by the increments.
%% =================================================================================================
\section{Implementation details}
\label{sec:ASM_details}
Here we show an example \nam{_asminc}{\_asminc} namelist and the header of an example assimilation increments file on
the ORCA2 grid.
\begin{listing}
\nlst{nam_asminc}
\caption{\forcode{&nam_asminc}}
\label{lst:nam_asminc}
\end{listing}
The header of an assimilation increments file produced using the NetCDF tool
\mbox{\textit{ncdump~-h}} is shown below
\begin{clines}
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{clines}
\subinc{\input{../../global/epilogue}}
\end{document}