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revision 1.5 by jmc, Mon Sep 24 19:30:40 2001 UTC revision 1.15 by cnh, Thu Feb 28 19:32:19 2002 UTC
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1  % $Header$  % $Header$
2  % $Name$  % $Name$
3    
4  The convention used in this section is as follows:  This chapter lays out the numerical schemes that are
5  Time is "discretize" using a time step $\Delta t$    employed in the core MITgcm algorithm. Whenever possible
6  and $\Phi^n$ refers to the variable $\Phi$  links are made to actual program code in the MITgcm implementation.
7  at time $t = n \Delta t$ . We used the notation $\Phi^{(n)}$  The chapter begins with a discussion of the temporal discretization
8  when time interpolation is required to estimate the value of $\phi$  used in MITgcm. This discussion is followed by sections that
9  at the time $n \Delta t$.  describe the spatial discretization. The schemes employed for momentum
10    terms are described first, afterwards the schemes that apply to
11  \section{Time integration}  passive and dynamically active tracers are described.
12    
13  The discretization in time of the model equations (cf section I )  
14  does not depend of the discretization in space of each  \section{Time-stepping}
15  term, so that this section can be read independently.  The equations of motion integrated by the model involve four
16  Also for this purpose, we will refers to the continuous  prognostic equations for flow, $u$ and $v$, temperature, $\theta$, and
17  space-derivative form of model equations, and focus on  salt/moisture, $S$, and three diagnostic equations for vertical flow,
18  the time discretization.  $w$, density/buoyancy, $\rho$/$b$, and pressure/geo-potential,
19    $\phi_{hyd}$. In addition, the surface pressure or height may by
20  The continuous form of the model equations is:  described by either a prognostic or diagnostic equation and if
21    non-hydrostatics terms are included then a diagnostic equation for
22  \begin{eqnarray}  non-hydrostatic pressure is also solved. The combination of prognostic
23  \partial_t \theta & = & G_\theta  and diagnostic equations requires a model algorithm that can march
24  \label{eq-tCsC-theta}  forward prognostic variables while satisfying constraints imposed by
25  \\  diagnostic equations.
26  \partial_t S & = & G_s  
27  \label{eq-tCsC-salt}  Since the model comes in several flavors and formulation, it would be
28  \\  confusing to present the model algorithm exactly as written into code
29  b' & = & b'(\theta,S,r)  along with all the switches and optional terms. Instead, we present
30  \\  the algorithm for each of the basic formulations which are:
31  \partial_r \phi'_{hyd} & = & -b'  \begin{enumerate}
32  \label{eq-tCsC-hyd}  \item the semi-implicit pressure method for hydrostatic equations
33  \\  with a rigid-lid, variables co-located in time and with
34  \partial_t \vec{\bf v}  Adams-Bashforth time-stepping, \label{it:a}
35  + {\bf \nabla}_h b_s \eta  \item as \ref{it:a}. but with an implicit linear free-surface, \label{it:b}
36  + \epsilon_{nh} {\bf \nabla}_h \phi'_{nh}  \item as \ref{it:a}. or \ref{it:b}. but with variables staggered in time,
37  & = & \vec{\bf G}_{\vec{\bf v}}  \label{it:c}
38  - {\bf \nabla}_h \phi'_{hyd}  \item as \ref{it:a}. or \ref{it:b}. but with non-hydrostatic terms included,
39  \label{eq-tCsC-Hmom}  \item as \ref{it:b}. or \ref{it:c}. but with non-linear free-surface.
40  \\  \end{enumerate}
41  \epsilon_{nh} \frac {\partial{\dot{r}}}{\partial{t}}  
42  + \epsilon_{nh} \partial_r \phi'_{nh}  In all the above configurations it is also possible to substitute the
43  & = & \epsilon_{nh} G_{\dot{r}}  Adams-Bashforth with an alternative time-stepping scheme for terms
44  \label{eq-tCsC-Vmom}  evaluated explicitly in time. Since the over-arching algorithm is
45  \\  independent of the particular time-stepping scheme chosen we will
46  {\bf \nabla}_h \cdot \vec{\bf v} + \partial_r \dot{r}  describe first the over-arching algorithm, known as the pressure
47  & = & 0  method, with a rigid-lid model in section
48  \label{eq-tCsC-cont}  \ref{sect:pressure-method-rigid-lid}. This algorithm is essentially
49    unchanged, apart for some coefficients, when the rigid lid assumption
50    is replaced with a linearized implicit free-surface, described in
51    section \ref{sect:pressure-method-linear-backward}. These two flavors
52    of the pressure-method encompass all formulations of the model as it
53    exists today. The integration of explicit in time terms is out-lined
54    in section \ref{sect:adams-bashforth} and put into the context of the
55    overall algorithm in sections \ref{sect:adams-bashforth-sync} and
56    \ref{sect:adams-bashforth-staggered}. Inclusion of non-hydrostatic
57    terms requires applying the pressure method in three dimensions
58    instead of two and this algorithm modification is described in section
59    \ref{sect:non-hydrostatic}. Finally, the free-surface equation may be
60    treated more exactly, including non-linear terms, and this is
61    described in section \ref{sect:nonlinear-freesurface}.
62    
63    
64    \section{Pressure method with rigid-lid} \label{sect:pressure-method-rigid-lid}
65    
66    \begin{figure}
67    \begin{center}
68    \resizebox{4.0in}{!}{\includegraphics{part2/pressure-method-rigid-lid.eps}}
69    \end{center}
70    \caption{
71    A schematic of the evolution in time of the pressure method
72    algorithm. A prediction for the flow variables at time level $n+1$ is
73    made based only on the explicit terms, $G^{(n+^1/_2)}$, and denoted
74    $u^*$, $v^*$. Next, a pressure field is found such that $u^{n+1}$,
75    $v^{n+1}$ will be non-divergent. Conceptually, the $*$ quantities
76    exist at time level $n+1$ but they are intermediate and only
77    temporary.}
78    \label{fig:pressure-method-rigid-lid}
79    \end{figure}
80    
81    \begin{figure}
82    \begin{center} \fbox{ \begin{minipage}{4.5in} \begin{tabbing}
83    aaa \= aaa \= aaa \= aaa \= aaa \= aaa \kill
84    \proclink{FORWARD\_STEP}{../code/._model_src_forward_step.F} \\
85    \> DYNAMICS \\
86    \>\> TIMESTEP \` $u^*$,$v^*$ (\ref{eq:ustar-rigid-lid},\ref{eq:vstar-rigid-lid}) \\
87    \> SOLVE\_FOR\_PRESSURE \\
88    \>\> CALC\_DIV\_GHAT \` $H\widehat{u^*}$,$H\widehat{v^*}$ (\ref{eq:elliptic}) \\
89    \>\> CG2D \` $\eta^{n+1}$ (\ref{eq:elliptic}) \\
90    \> THE\_CORRECTION\_STEP  \\
91    \>\> CALC\_GRAD\_PHI\_SURF \` $\nabla \eta^{n+1}$ \\
92    \>\> CORRECTION\_STEP \` $u^{n+1}$,$v^{n+1}$ (\ref{eq:un+1-rigid-lid},\ref{eq:vn+1-rigid-lid})
93    \end{tabbing} \end{minipage} } \end{center}
94    \caption{Calling tree for the pressure method algorihtm}
95    \label{fig:call-tree-pressure-method}
96    \end{figure}
97    
98    The horizontal momentum and continuity equations for the ocean
99    (\ref{eq:ocean-mom} and \ref{eq:ocean-cont}), or for the atmosphere
100    (\ref{eq:atmos-mom} and \ref{eq:atmos-cont}), can be summarized by:
101    \begin{eqnarray}
102    \partial_t u + g \partial_x \eta & = & G_u \\
103    \partial_t v + g \partial_y \eta & = & G_v \\
104    \partial_x u + \partial_y v + \partial_z w & = & 0
105  \end{eqnarray}  \end{eqnarray}
106  where  where we are adopting the oceanic notation for brevity. All terms in
107  \begin{eqnarray*}  the momentum equations, except for surface pressure gradient, are
108  G_\theta & = &  encapsulated in the $G$ vector. The continuity equation, when
109  - \vec{\bf v} \cdot {\bf \nabla} \theta + {\cal Q}_\theta  integrated over the fluid depth, $H$, and with the rigid-lid/no normal
110  \\  flow boundary conditions applied, becomes:
111  G_S & = &  \begin{equation}
112  - \vec{\bf v} \cdot {\bf \nabla} S + {\cal Q}_S  \partial_x H \widehat{u} + \partial_y H \widehat{v} = 0
113  \\  \label{eq:rigid-lid-continuity}
114  \vec{\bf G}_{\vec{\bf v}}  \end{equation}
115    Here, $H\widehat{u} = \int_H u dz$ is the depth integral of $u$,
116    similarly for $H\widehat{v}$. The rigid-lid approximation sets $w=0$
117    at the lid so that it does not move but allows a pressure to be
118    exerted on the fluid by the lid. The horizontal momentum equations and
119    vertically integrated continuity equation are be discretized in time
120    and space as follows:
121    \begin{eqnarray}
122    u^{n+1} + \Delta t g \partial_x \eta^{n+1}
123    & = & u^{n} + \Delta t G_u^{(n+1/2)}
124    \label{eq:discrete-time-u}
125    \\
126    v^{n+1} + \Delta t g \partial_y \eta^{n+1}
127    & = & v^{n} + \Delta t G_v^{(n+1/2)}
128    \label{eq:discrete-time-v}
129    \\
130      \partial_x H \widehat{u^{n+1}}
131    + \partial_y H \widehat{v^{n+1}} & = & 0
132    \label{eq:discrete-time-cont-rigid-lid}
133    \end{eqnarray}
134    As written here, terms on the LHS all involve time level $n+1$ and are
135    referred to as implicit; the implicit backward time stepping scheme is
136    being used. All other terms in the RHS are explicit in time. The
137    thermodynamic quantities are integrated forward in time in parallel
138    with the flow and will be discussed later. For the purposes of
139    describing the pressure method it suffices to say that the hydrostatic
140    pressure gradient is explicit and so can be included in the vector
141    $G$.
142    
143    Substituting the two momentum equations into the depth integrated
144    continuity equation eliminates $u^{n+1}$ and $v^{n+1}$ yielding an
145    elliptic equation for $\eta^{n+1}$. Equations
146    \ref{eq:discrete-time-u}, \ref{eq:discrete-time-v} and
147    \ref{eq:discrete-time-cont-rigid-lid} can then be re-arranged as follows:
148    \begin{eqnarray}
149    u^{*} & = & u^{n} + \Delta t G_u^{(n+1/2)} \label{eq:ustar-rigid-lid} \\
150    v^{*} & = & v^{n} + \Delta t G_v^{(n+1/2)} \label{eq:vstar-rigid-lid} \\
151      \partial_x \Delta t g H \partial_x \eta^{n+1}
152    + \partial_y \Delta t g H \partial_y \eta^{n+1}
153  & = &  & = &
154  - \vec{\bf v} \cdot {\bf \nabla} \vec{\bf v}    \partial_x H \widehat{u^{*}}
155  - f \hat{\bf k} \wedge \vec{\bf v}  + \partial_y H \widehat{v^{*}} \label{eq:elliptic}
 + \vec{\cal F}_{\vec{\bf v}}  
156  \\  \\
157  G_{\dot{r}}  u^{n+1} & = & u^{*} - \Delta t g \partial_x \eta^{n+1} \label{eq:un+1-rigid-lid}\\
158  & = &  v^{n+1} & = & v^{*} - \Delta t g \partial_y \eta^{n+1} \label{eq:vn+1-rigid-lid}
159  - \vec{\bf v} \cdot {\bf \nabla} \dot{r}  \end{eqnarray}
160  + {\cal F}_{\dot{r}}  Equations \ref{eq:ustar-rigid-lid} to \ref{eq:vn+1-rigid-lid}, solved
161  \end{eqnarray*}  sequentially, represent the pressure method algorithm used in the
162  The exact form of all the "{\it G}"s terms is described in the next  model. The essence of the pressure method lies in the fact that any
163  section (). Here its sufficient to mention that they contains  explicit prediction for the flow would lead to a divergence flow field
164  all the RHS terms except the pressure / geo- potential terms.  so a pressure field must be found that keeps the flow non-divergent
165    over each step of the integration. The particular location in time of
166  The switch $\epsilon_{nh}$ allows to activate the non hydrostatic  the pressure field is somewhat ambiguous; in
167  mode ($\epsilon_{nh}=1$) for the ocean model. Otherwise,  Fig.~\ref{fig:pressure-method-rigid-lid} we depicted as co-located
168  in the hydrostatic limit $\epsilon_{nh} = 0$  with the future flow field (time level $n+1$) but it could equally
169  and equation \ref{eq-tCsC-Vmom} vanishes.  have been drawn as staggered in time with the flow.
170    
171  The equation for $\eta$ is obtained by integrating the  The correspondence to the code is as follows:
172  continuity equation over the entire depth of the fluid,  \begin{itemize}
173  from $R_{fixed}(x,y)$ up to $R_o(x,y)$  \item
174  (Linear free surface):  the prognostic phase, equations \ref{eq:ustar-rigid-lid} and \ref{eq:vstar-rigid-lid},
175  \begin{eqnarray}  stepping forward $u^n$ and $v^n$ to $u^{*}$ and $v^{*}$ is coded in
176  \epsilon_{fs} \partial_t \eta =  \proclink{TIMESTEP}{../code/._model_src_timestep.F}
177  \left. \dot{r} \right|_{r=r_{surf}} + \epsilon_{fw} (P-E) =  \item
178  - {\bf \nabla} \cdot \int_{R_{fixed}}^{R_o} \vec{\bf v} dr  the vertical integration, $H \widehat{u^*}$ and $H
179  + \epsilon_{fw} (P-E)  \widehat{v^*}$, divergence and inversion of the elliptic operator in
180  \label{eq-tCsC-eta}  equation \ref{eq:elliptic} is coded in
181  \end{eqnarray}  \proclink{SOLVE\_FOR\_PRESSURE}{../code/._model_src_solve_for_pressure.F}
182    \item
183  Where $\epsilon_{fs}$,$\epsilon_{fw}$ are two flags to  finally, the new flow field at time level $n+1$ given by equations
184  distinguish between a free-surface equation ($\epsilon_{fs}=1$)  \ref{eq:un+1-rigid-lid} and \ref{eq:vn+1-rigid-lid} is calculated in
185  or the rigid-lid approximation ($\epsilon_{fs}=0$);    \proclink{CORRECTION\_STEP}{../code/._model_src_correction_step.F}.
186  and to distinguish when exchange of Fresh-Water is included  \end{itemize}
187  at the ocean surface (natural BC) ($\epsilon_{fw} = 1$)  The calling tree for these routines is given in
188  or not ($\epsilon_{fw} = 0$).  Fig.~\ref{fig:call-tree-pressure-method}.
   
 The hydrostatic potential is found by  
 integrating \ref{eq-tCsC-hyd} with the boundary condition that  
 $\phi'_{hyd}(r=R_o) = 0$:  
 \begin{eqnarray*}  
 & &  
 \int_{r'}^{R_o} \partial_r \phi'_{hyd} dr =  
 \left[ \phi'_{hyd} \right]_{r'}^{R_o} =  
 \int_{r'}^{R_o} - b' dr  
 \\  
 \Rightarrow & &  
 \phi'_{hyd}(x,y,r') = \int_{r'}^{R_o} b' dr  
 \end{eqnarray*}  
189    
190  \subsection{General method}  
191    
192  An overview of the general method is presented hereafter,  \paragraph{Need to discuss implicit viscosity somewhere:}
193  with explicit references to the Fortran code. This part  \begin{eqnarray}
194  often refers to the discretized equations of the model  \frac{1}{\Delta t} u^{n+1} - \partial_z A_v \partial_z u^{n+1}
195  that are detailed in the following sections.  + g \partial_x \eta^{n+1} & = & \frac{1}{\Delta t} u^{n} +
196    G_u^{(n+1/2)}
 The general algorithm consist in  a "predictor step" that computes  
 the forward tendencies ("G" terms") and all  
 the "first guess" values (star notation):  
 $\theta^*, S^*, \vec{\bf v}^*$ (and $\dot{r}^*$  
 in non-hydrostatic mode). This is done in the two routines  
 {\it THERMODYNAMICS} and {\it DYNAMICS}.  
   
 Then the implicit terms that appear on the left hand side (LHS)  
 of equations \ref{eq-tDsC-theta} - \ref{eq-tDsC-cont},  
 are solved as follows:  
 Since implicit vertical diffusion and viscosity terms  
 are independent from the barotropic flow adjustment,  
 they are computed first, solving a 3 diagonal Nr x Nr linear system,  
 and incorporated at the end of the {\it THERMODYNAMICS} and  
 {\it DYNAMICS} routines.  
 Then the surface pressure and non hydrostatic pressure  
 are evaluated ({\it SOLVE\_FOR\_PRESSURE});  
   
 Finally, within a "corrector step',  
 (routine {\it THE\_CORRECTION\_STEP})  
 the new values of $u,v,w,\theta,S$  
 are derived according to the above equations  
 (see details in II.1.3).  
   
 At this point, the regular time step is over, but    
 the correction step contains also other optional  
 adjustments such as convective adjustment algorithm, or filters  
 (zonal FFT filter, shapiro filter)  
 that applied on both momentum and tracer fields.  
 just before setting the $n+1$ new time step value.  
   
 Since the pressure solver precision is of the order of  
 the "target residual" that could be lower than the  
 the computer truncation error, and also because some filters  
 might alter the divergence part of the flow field,  
 a final evaluation of the surface r anomaly $\eta^{n+1}$  
 is performed, according to \ref{eq-tDsC-eta} ({\it CALC\_EXACT\_ETA}).  
 This ensures a perfect volume conservation.  
 Note that there is no need for an equivalent Non-hydrostatic  
 "exact conservation" step, since W is already computed after  
 the filters applied.  
   
 Regarding optional forcing terms (usually part of a "package"),  
 that account for a specific source or sink term (e.g.: condensation  
 as a sink of water vapor Q), they are generally incorporated  
 in the main algorithm as follows;  
 At the the beginning of the time step,  
 the additional tendencies are computed  
 as function of the present state (time step $n$) and external forcing ;  
 Then within the main part of model,  
 only those new tendencies are added to the model variables.  
   
 [more details needed]\\  
   
 The atmospheric physics follows this general scheme.  
   
 [more about C\_grid, A\_grid conversion \& drag term]\\  
   
 \subsection{Standard synchronous time stepping}  
   
 In the standard formulation, the surface pressure is  
 evaluated at time step n+1 (implicit method).  
 The above set of equations is then discretized in time  
 as follows:  
 \begin{eqnarray}  
 \left[ 1 - \partial_r \kappa_v^\theta \partial_r \right]  
 \theta^{n+1} & = & \theta^*  
 \label{eq-tDsC-theta}  
 \\  
 \left[ 1 - \partial_r \kappa_v^S \partial_r \right]  
 S^{n+1} & = & S^*  
 \label{eq-tDsC-salt}  
 \\  
 %{b'}^{n} & = & b'(\theta^{n},S^{n},r)  
 %\partial_r {\phi'_{hyd}}^{n} & = & {-b'}^{n}  
 %\\  
 {\phi'_{hyd}}^{n} & = & \int_{r'}^{R_o} b'(\theta^{n},S^{n},r) dr  
 \label{eq-tDsC-hyd}  
 \\  
 \vec{\bf v} ^{n+1}  
 + \Delta t {\bf \nabla}_h b_s {\eta}^{n+1}  
 + \epsilon_{nh} \Delta t {\bf \nabla} {\phi'_{nh}}^{n+1}  
 - \partial_r A_v \partial_r \vec{\bf v}^{n+1}  
 & = &  
 \vec{\bf v}^*  
 \label{eq-tDsC-Hmom}  
197  \\  \\
198  \epsilon_{fs} {\eta}^{n+1} + \Delta t  \frac{1}{\Delta t} v^{n+1} - \partial_z A_v \partial_z v^{n+1}
199  {\bf \nabla}_h \cdot \int_{R_{fixed}}^{R_o} \vec{\bf v}^{n+1} dr  + g \partial_y \eta^{n+1} & = & \frac{1}{\Delta t} v^{n} + G_v^{(n+1/2)}
 & = &  
     \epsilon_{fs} {\eta}^{n} + \epsilon_{fw} \Delta_t (P-E)^{n}  
 \nonumber  
 \\  
 % = \epsilon_{fs} {\eta}^{n} & + & \epsilon_{fw} \Delta_t (P-E)^{n}  
 \label{eq-tDsC-eta}  
 \\  
 \epsilon_{nh} \left( \dot{r} ^{n+1}  
 + \Delta t \partial_r {\phi'_{nh}} ^{n+1}  
 \right)  
 & = & \epsilon_{nh} \dot{r}^*  
 \label{eq-tDsC-Vmom}  
 \\  
 {\bf \nabla}_h \cdot \vec{\bf v}^{n+1} + \partial_r \dot{r}^{n+1}  
 & = & 0  
 \label{eq-tDsC-cont}  
200  \end{eqnarray}  \end{eqnarray}
201  where  
202    
203    \section{Pressure method with implicit linear free-surface}
204    \label{sect:pressure-method-linear-backward}
205    
206    The rigid-lid approximation filters out external gravity waves
207    subsequently modifying the dispersion relation of barotropic Rossby
208    waves. The discrete form of the elliptic equation has some zero
209    eigen-values which makes it a potentially tricky or inefficient
210    problem to solve.
211    
212    The rigid-lid approximation can be easily replaced by a linearization
213    of the free-surface equation which can be written:
214    \begin{equation}
215    \partial_t \eta + \partial_x H \widehat{u} + \partial_y H \widehat{v} = P-E+R
216    \label{eq:linear-free-surface=P-E+R}
217    \end{equation}
218    which differs from the depth integrated continuity equation with
219    rigid-lid (\ref{eq:rigid-lid-continuity}) by the time-dependent term
220    and fresh-water source term.
221    
222    Equation \ref{eq:discrete-time-cont-rigid-lid} in the rigid-lid
223    pressure method is then replaced by the time discretization of
224    \ref{eq:linear-free-surface=P-E+R} which is:
225    \begin{equation}
226    \eta^{n+1}
227    + \Delta t \partial_x H \widehat{u^{n+1}}
228    + \Delta t \partial_y H \widehat{v^{n+1}}
229    =
230    \eta^{n}
231    + \Delta t ( P - E + R )
232    \label{eq:discrete-time-backward-free-surface}
233    \end{equation}
234    where the use of flow at time level $n+1$ makes the method implicit
235    and backward in time. The is the preferred scheme since it still
236    filters the fast unresolved wave motions by damping them. A centered
237    scheme, such as Crank-Nicholson, would alias the energy of the fast
238    modes onto slower modes of motion.
239    
240    As for the rigid-lid pressure method, equations
241    \ref{eq:discrete-time-u}, \ref{eq:discrete-time-v} and
242    \ref{eq:discrete-time-backward-free-surface} can be re-arranged as follows:
243  \begin{eqnarray}  \begin{eqnarray}
244  \theta^* & = &  u^{*} & = & u^{n} + \Delta t G_u^{(n+1/2)} \label{eq:ustar-backward-free-surface} \\
245  \theta ^{n} + \Delta t G_{\theta} ^{(n+1/2)}  v^{*} & = & v^{n} + \Delta t G_v^{(n+1/2)} \label{eq:vstar-backward-free-surface} \\
246  \\  \eta^* & = & \epsilon_{fs} \left( \eta^{n} +P-E+R \right)- \Delta t
247  S^* & = &    \partial_x H \widehat{u^{*}}
248  S ^{n} + \Delta t G_{S} ^{(n+1/2)}  + \partial_y H \widehat{v^{*}}
249  \\  \\
250  \vec{\bf v}^* & = &    \partial_x g H \partial_x \eta^{n+1}
251  \vec{\bf v}^{n} + \Delta t \vec{\bf G}_{\vec{\bf v}} ^{(n+1/2)}  + \partial_y g H \partial_y \eta^{n+1}
252  + \Delta t  {\bf \nabla}_h {\phi'_{hyd}}^{(n+1/2)}  - \frac{\epsilon_{fs} \eta^{n+1}}{\Delta t^2}
253    & = &
254    - \frac{\eta^*}{\Delta t^2}
255    \label{eq:elliptic-backward-free-surface}
256  \\  \\
257  \dot{r}^* & = &  u^{n+1} & = & u^{*} - \Delta t g \partial_x \eta^{n+1} \label{eq:un+1-backward-free-surface}\\
258  \dot{r} ^{n} + \Delta t G_{\dot{r}} ^{(n+1/2)}  v^{n+1} & = & v^{*} - \Delta t g \partial_y \eta^{n+1} \label{eq:vn+1-backward-free-surface}
259  \end{eqnarray}  \end{eqnarray}
260    Equations~\ref{eq:ustar-backward-free-surface}
261    to~\ref{eq:vn+1-backward-free-surface}, solved sequentially, represent
262    the pressure method algorithm with a backward implicit, linearized
263    free surface. The method is still formerly a pressure method because
264    in the limit of large $\Delta t$ the rigid-lid method is
265    recovered. However, the implicit treatment of the free-surface allows
266    the flow to be divergent and for the surface pressure/elevation to
267    respond on a finite time-scale (as opposed to instantly). To recover
268    the rigid-lid formulation, we introduced a switch-like parameter,
269    $\epsilon_{fs}$, which selects between the free-surface and rigid-lid;
270    $\epsilon_{fs}=1$ allows the free-surface to evolve; $\epsilon_{fs}=0$
271    imposes the rigid-lid. The evolution in time and location of variables
272    is exactly as it was for the rigid-lid model so that
273    Fig.~\ref{fig:pressure-method-rigid-lid} is still
274    applicable. Similarly, the calling sequence, given in
275    Fig.~\ref{fig:call-tree-pressure-method}, is as for the
276    pressure-method.
277    
278    
279    \section{Explicit time-stepping: Adams-Bashforth}
280    \label{sect:adams-bashforth}
281    
282    In describing the the pressure method above we deferred describing the
283    time discretization of the explicit terms. We have historically used
284    the quasi-second order Adams-Bashforth method for all explicit terms
285    in both the momentum and tracer equations. This is still the default
286    mode of operation but it is now possible to use alternate schemes for
287    tracers (see section \ref{sect:tracer-advection}).
288    
289    \begin{figure}
290    \begin{center} \fbox{ \begin{minipage}{4.5in} \begin{tabbing}
291    aaa \= aaa \= aaa \= aaa \= aaa \= aaa \kill
292    FORWARD\_STEP \\
293    \> THERMODYNAMICS \\
294    \>\> CALC\_GT \\
295    \>\>\> GAD\_CALC\_RHS \` $G_\theta^n = G_\theta( u, \theta^n )$ \\
296    \>\>\> EXTERNAL\_FORCING \` $G_\theta^n = G_\theta^n + {\cal Q}$ \\
297    \>\>\> ADAMS\_BASHFORTH2 \` $G_\theta^{(n+1/2)}$ (\ref{eq:adams-bashforth2}) \\
298    \>\> TIMESTEP\_TRACER \` $\tau^*$ (\ref{eq:taustar}) \\
299    \>\> IMPLDIFF \` $\tau^{(n+1)}$ (\ref{eq:tau-n+1-implicit})
300    \end{tabbing} \end{minipage} } \end{center}
301    \caption{
302    Calling tree for the Adams-Bashforth time-stepping of temperature with
303    implicit diffusion.}
304    \label{fig:call-tree-adams-bashforth}
305    \end{figure}
306    
307  Note that implicit vertical terms (viscosity and diffusivity) are  In the previous sections, we summarized an explicit scheme as:
308  not considered as part of the "{\it G}" terms, but are  \begin{equation}
309  written separately here.  \tau^{*} = \tau^{n} + \Delta t G_\tau^{(n+1/2)}
310    \label{eq:taustar}
311  To ensure a second order time discretization for both  \end{equation}
312  momentum and tracer,  where $\tau$ could be any prognostic variable ($u$, $v$, $\theta$ or
313  The "{\it G}" terms are "extrapolated" forward in time  $S$) and $\tau^*$ is an explicit estimate of $\tau^{n+1}$ and would be
314  (Adams Bashforth time stepping)  exact if not for implicit-in-time terms. The parenthesis about $n+1/2$
315  from the values computed at time step $n$ and $n-1$  indicates that the term is explicit and extrapolated forward in time
316  to the time $n+1/2$:  and for this we use the quasi-second order Adams-Bashforth method:
317  $$G^{(n+1/2)} = G^n + (1/2+\epsilon_{AB}) (G^n - G^{n-1})$$  \begin{equation}
318  A small number for the parameter $\epsilon_{AB}$ is generally used  G_\tau^{(n+1/2)} = ( 3/2 + \epsilon_{AB}) G_\tau^n
319  to stabilize this time stepping.  - ( 1/2 + \epsilon_{AB}) G_\tau^{n-1}
320    \label{eq:adams-bashforth2}
321  In the standard non-stagger formulation,  \end{equation}
322  the Adams-Bashforth time stepping is also applied to the  This is a linear extrapolation, forward in time, to
323  hydrostatic (pressure / geo-) potential term $\nabla_h \Phi'_{hyd}$.  $t=(n+1/2+{\epsilon_{AB}})\Delta t$. An extrapolation to the mid-point
324  Note that presently, this term is in fact incorporated to the  in time, $t=(n+1/2)\Delta t$, corresponding to $\epsilon_{AB}=0$,
325  $\vec{\bf G}_{\vec{\bf v}}$ arrays ({\bf gU,gV}).  would be second order accurate but is weakly unstable for oscillatory
326    terms. A small but finite value for $\epsilon_{AB}$ stabilizes the
327  \subsection{Stagger baroclinic time stepping}  method. Strictly speaking, damping terms such as diffusion and
328    dissipation, and fixed terms (forcing), do not need to be inside the
329  An alternative is to evaluate $\phi'_{hyd}$ with the  Adams-Bashforth extrapolation. However, in the current code, it is
330  new tracer fields, and step forward the momentum after.  simpler to include these terms and this can be justified if the flow
331  This option is known as stagger baroclinic time stepping,  and forcing evolves smoothly. Problems can, and do, arise when forcing
332  since tracer and momentum are step forward in time one after the other.  or motions are high frequency and this corresponds to a reduced
333  It can be activated turning on a running flag parameter  stability compared to a simple forward time-stepping of such terms.
334  {\bf staggerTimeStep} in file "{\it data}").  
335    A stability analysis for an oscillation equation should be given at this point.
336  The main advantage of this time stepping compared to a synchronous one,  \marginpar{AJA needs to find his notes on this...}
337  is a better stability, specially regarding internal gravity waves,  
338  and a very natural implementation of a 2nd order in time  A stability analysis for a relaxation equation should be given at this point.
339  hydrostatic pressure / geo- potential term.  \marginpar{...and for this too.}
340  In the other hand, a synchronous time step might be  better  
341  for convection problems; Its also make simpler time dependent forcing  
342  and diagnostic implementation ; and allows a more efficient threading.  \section{Implicit time-stepping: backward method}
343    
344  Although the stagger time step does not affect deeply the  Vertical diffusion and viscosity can be treated implicitly in time
345  structure of the code --- a switch allows to evaluate the  using the backward method which is an intrinsic scheme. For tracers,
346  hydrostatic pressure / geo- potential from new $\theta,S$  the time discretized equation is:
347  instead of the Adams-Bashforth estimation ---  \begin{equation}
348  this affect the way the time discretization is presented :  \tau^{n+1} - \Delta t \partial_r \kappa_v \partial_r \tau^{n+1} =
349    \tau^{n} + \Delta t G_\tau^{(n+1/2)}
350    \label{eq:implicit-diffusion}
351    \end{equation}
352    where $G_\tau^{(n+1/2)}$ is the remaining explicit terms extrapolated
353    using the Adams-Bashforth method as described above.  Equation
354    \ref{eq:implicit-diffusion} can be split split into:
355    \begin{eqnarray}
356    \tau^* & = & \tau^{n} + \Delta t G_\tau^{(n+1/2)}
357    \label{eq:taustar-implicit} \\
358    \tau^{n+1} & = & {\cal L}_\tau^{-1} ( \tau^* )
359    \label{eq:tau-n+1-implicit}
360    \end{eqnarray}
361    where ${\cal L}_\tau^{-1}$ is the inverse of the operator
362    \begin{equation}
363    {\cal L} = \left[ 1 + \Delta t \partial_r \kappa_v \partial_r \right]
364    \end{equation}
365    Equation \ref{eq:taustar-implicit} looks exactly as \ref{eq:taustar}
366    while \ref{eq:tau-n+1-implicit} involves an operator or matrix
367    inversion. By re-arranging \ref{eq:implicit-diffusion} in this way we
368    have cast the method as an explicit prediction step and an implicit
369    step allowing the latter to be inserted into the over all algorithm
370    with minimal interference.
371    
372    Fig.~\ref{fig:call-tree-adams-bashforth} shows the calling sequence for
373    stepping forward a tracer variable such as temperature.
374    
375    In order to fit within the pressure method, the implicit viscosity
376    must not alter the barotropic flow. In other words, it can on ly
377    redistribute momentum in the vertical. The upshot of this is that
378    although vertical viscosity may be backward implicit and
379    unconditionally stable, no-slip boundary conditions may not be made
380    implicit and are thus cast as a an explicit drag term.
381    
382    \section{Synchronous time-stepping: variables co-located in time}
383    \label{sect:adams-bashforth-sync}
384    
385    \begin{figure}
386    \begin{center}
387    \resizebox{5.0in}{!}{\includegraphics{part2/adams-bashforth-sync.eps}}
388    \end{center}
389    \caption{
390    A schematic of the explicit Adams-Bashforth and implicit time-stepping
391    phases of the algorithm. All prognostic variables are co-located in
392    time. Explicit tendencies are evaluated at time level $n$ as a
393    function of the state at that time level (dotted arrow). The explicit
394    tendency from the previous time level, $n-1$, is used to extrapolate
395    tendencies to $n+1/2$ (dashed arrow). This extrapolated tendency
396    allows variables to be stably integrated forward-in-time to render an
397    estimate ($*$-variables) at the $n+1$ time level (solid
398    arc-arrow). The operator ${\cal L}$ formed from implicit-in-time terms
399    is solved to yield the state variables at time level $n+1$. }
400    \label{fig:adams-bashforth-sync}
401    \end{figure}
402    
403    \begin{figure}
404    \begin{center} \fbox{ \begin{minipage}{4.5in} \begin{tabbing}
405    aaa \= aaa \= aaa \= aaa \= aaa \= aaa \kill
406    FORWARD\_STEP \\
407    \> THERMODYNAMICS \\
408    \>\> CALC\_GT \\
409    \>\>\> GAD\_CALC\_RHS \` $G_\theta^n = G_\theta( u, \theta^n )$ (\ref{eq:Gt-n-sync})\\
410    \>\>\> EXTERNAL\_FORCING \` $G_\theta^n = G_\theta^n + {\cal Q}$ \\
411    \>\>\> ADAMS\_BASHFORTH2 \` $G_\theta^{(n+1/2)}$ (\ref{eq:Gt-n+5-sync}) \\
412    \>\> TIMESTEP\_TRACER \` $\tau^*$ (\ref{eq:tstar-sync}) \\
413    \>\> IMPLDIFF \` $\tau^{(n+1)}$ (\ref{eq:t-n+1-sync}) \\
414    \> DYNAMICS \\
415    \>\> CALC\_PHI\_HYD \` $\phi_{hyd}^n$ (\ref{eq:phi-hyd-sync}) \\
416    \>\> MOM\_FLUXFORM or MOM\_VECINV \` $G_{\vec{\bf v}}^n$ (\ref{eq:Gv-n-sync})\\
417    \>\> TIMESTEP \` $\vec{\bf v}^*$ (\ref{eq:Gv-n+5-sync}, \ref{eq:vstar-sync}) \\
418    \>\> IMPLDIFF \` $\vec{\bf v}^{**}$ (\ref{eq:vstarstar-sync}) \\
419    \> SOLVE\_FOR\_PRESSURE \\
420    \>\> CALC\_DIV\_GHAT \` $\eta^*$ (\ref{eq:nstar-sync}) \\
421    \>\> CG2D \` $\eta^{n+1}$ (\ref{eq:elliptic-sync}) \\
422    \> THE\_CORRECTION\_STEP  \\
423    \>\> CALC\_GRAD\_PHI\_SURF \` $\nabla \eta^{n+1}$ \\
424    \>\> CORRECTION\_STEP \` $u^{n+1}$,$v^{n+1}$ (\ref{eq:v-n+1-sync})
425    \end{tabbing} \end{minipage} } \end{center}
426    \caption{
427    Calling tree for the overall synchronous algorithm using
428    Adams-Bashforth time-stepping.}
429    \label{fig:call-tree-adams-bashforth-sync}
430    \end{figure}
431    
432    The Adams-Bashforth extrapolation of explicit tendencies fits neatly
433    into the pressure method algorithm when all state variables are
434    co-located in time. Fig.~\ref{fig:adams-bashforth-sync} illustrates
435    the location of variables in time and the evolution of the algorithm
436    with time. The algorithm can be represented by the sequential solution
437    of the follow equations:
438    \begin{eqnarray}
439    G_{\theta,S}^{n} & = & G_{\theta,S} ( u^n, \theta^n, S^n )
440    \label{eq:Gt-n-sync} \\
441    G_{\theta,S}^{(n+1/2)} & = & (3/2+\epsilon_{AB}) G_{\theta,S}^{n}-(1/2+\epsilon_{AB}) G_{\theta,S}^{n-1}
442    \label{eq:Gt-n+5-sync} \\
443    (\theta^*,S^*) & = & (\theta^{n},S^{n}) + \Delta t G_{\theta,S}^{(n+1/2)}
444    \label{eq:tstar-sync} \\
445    (\theta^{n+1},S^{n+1}) & = & {\cal L}^{-1}_{\theta,S} (\theta^*,S^*)
446    \label{eq:t-n+1-sync} \\
447    \phi^n_{hyd} & = & \int b(\theta^n,S^n) dr
448    \label{eq:phi-hyd-sync} \\
449    \vec{\bf G}_{\vec{\bf v}}^{n} & = & \vec{\bf G}_{\vec{\bf v}} ( \vec{\bf v}^n, \phi^n_{hyd} )
450    \label{eq:Gv-n-sync} \\
451    \vec{\bf G}_{\vec{\bf v}}^{(n+1/2)} & = & (3/2 + \epsilon_{AB} ) \vec{\bf G}_{\vec{\bf v}}^{n} - (1/2 + \epsilon_{AB} ) \vec{\bf G}_{\vec{\bf v}}^{n-1}
452    \label{eq:Gv-n+5-sync} \\
453    \vec{\bf v}^{*} & = & \vec{\bf v}^{n} + \Delta t \vec{\bf G}_{\vec{\bf v}}^{(n+1/2)}
454    \label{eq:vstar-sync} \\
455    \vec{\bf v}^{**} & = & {\cal L}_{\vec{\bf v}}^{-1} ( \vec{\bf v}^* )
456    \label{eq:vstarstar-sync} \\
457    \eta^* & = & \epsilon_{fs} \left( \eta^{n} +P-E+R \right)- \Delta t
458      \nabla \cdot H \widehat{ \vec{\bf v}^{**} }
459    \label{eq:nstar-sync} \\
460    \nabla \cdot g H \nabla \eta^{n+1} - \frac{\epsilon_{fs} \eta^{n+1}}{\Delta t^2}
461    & = & - \frac{\eta^*}{\Delta t^2}
462    \label{eq:elliptic-sync} \\
463    \vec{\bf v}^{n+1} & = & \vec{\bf v}^{*} - \Delta t g \nabla \eta^{n+1}
464    \label{eq:v-n+1-sync}
465    \end{eqnarray}
466    Fig.~\ref{fig:adams-bashforth-sync} illustrates the location of
467    variables in time and evolution of the algorithm with time. The
468    Adams-Bashforth extrapolation of the tracer tendencies is illustrated
469    by the dashed arrow, the prediction at $n+1$ is indicated by the
470    solid arc. Inversion of the implicit terms, ${\cal
471    L}^{-1}_{\theta,S}$, then yields the new tracer fields at $n+1$. All
472    these operations are carried out in subroutine {\em THERMODYNAMICS} an
473    subsidiaries, which correspond to equations \ref{eq:Gt-n-sync} to
474    \ref{eq:t-n+1-sync}.
475    Similarly illustrated is the Adams-Bashforth extrapolation of
476    accelerations, stepping forward and solving of implicit viscosity and
477    surface pressure gradient terms, corresponding to equations
478    \ref{eq:Gv-n-sync} to \ref{eq:v-n+1-sync}.
479    These operations are carried out in subroutines {\em DYNAMCIS}, {\em
480    SOLVE\_FOR\_PRESSURE} and {\em THE\_CORRECTION\_STEP}. This, then,
481    represents an entire algorithm for stepping forward the model one
482    time-step. The corresponding calling tree is given in
483    \ref{fig:call-tree-adams-bashforth-sync}.
484    
485    \section{Staggered baroclinic time-stepping}
486    \label{sect:adams-bashforth-staggered}
487    
488    \begin{figure}
489    \begin{center}
490    \resizebox{5.5in}{!}{\includegraphics{part2/adams-bashforth-staggered.eps}}
491    \end{center}
492    \caption{
493    A schematic of the explicit Adams-Bashforth and implicit time-stepping
494    phases of the algorithm but with staggering in time of thermodynamic
495    variables with the flow. Explicit thermodynamics tendencies are
496    evaluated at time level $n-1/2$ as a function of the thermodynamics
497    state at that time level $n$ and flow at time $n$ (dotted arrow). The
498    explicit tendency from the previous time level, $n-3/2$, is used to
499    extrapolate tendencies to $n$ (dashed arrow). This extrapolated
500    tendency allows thermo-dynamics variables to be stably integrated
501    forward-in-time to render an estimate ($*$-variables) at the $n+1/2$
502    time level (solid arc-arrow). The implicit-in-time operator ${\cal
503    L_{\theta,S}}$ is solved to yield the thermodynamic variables at time
504    level $n+1/2$. These are then used to calculate the hydrostatic
505    pressure/geo-potential, $\phi_{hyd}$ (vertical arrows). The
506    hydrostatic pressure gradient is evaluated directly an time level
507    $n+1/2$ in stepping forward the flow variables from $n$ to $n+1$
508    (solid arc-arrow). }
509    \label{fig:adams-bashforth-staggered}
510    \end{figure}
511    
512    For well stratified problems, internal gravity waves may be the
513    limiting process for determining a stable time-step. In the
514    circumstance, it is more efficient to stagger in time the
515    thermodynamic variables with the flow
516    variables. Fig.~\ref{fig:adams-bashforth-staggered} illustrates the
517    staggering and algorithm. The key difference between this and
518    Fig.~\ref{fig:adams-bashforth-sync} is that the new thermodynamics
519    fields are used to compute the hydrostatic pressure at time level
520    $n+1/2$. The essentially allows the gravity wave terms to leap-frog in
521    time giving second order accuracy and more stability.
522    
523    The essential change in the staggered algorithm is the calculation of
524    hydrostatic pressure which, in the context of the synchronous
525    algorithm involves replacing equation \ref{eq:phi-hyd-sync} with
526    \begin{displaymath}
527    \phi_{hyd}^n = \int b(\theta^{n+1},S^{n+1}) dr
528    \end{displaymath}
529    but the pressure gradient must also be taken out of the
530    Adams-Bashforth extrapolation. Also, retaining the integer time-levels,
531    $n$ and $n+1$, does not give a user the sense of where variables are
532    located in time.  Instead, we re-write the entire algorithm,
533    \ref{eq:Gt-n-sync} to \ref{eq:v-n+1-sync}, annotating the
534    position in time of variables appropriately:
535    \begin{eqnarray}
536    G_{\theta,S}^{n-1/2} & = & G_{\theta,S} ( u^n, \theta^{n-1/2}, S^{n-1/2} )
537    \label{eq:Gt-n-staggered} \\
538    G_{\theta,S}^{(n)} & = & (3/2+\epsilon_{AB}) G_{\theta,S}^{n-1/2}-(1/2+\epsilon_{AB}) G_{\theta,S}^{n-3/2}
539    \label{eq:Gt-n+5-staggered} \\
540    (\theta^*,S^*) & = & (\theta^{n},S^{n}) + \Delta t G_{\theta,S}^{(n)}
541    \label{eq:tstar-staggered} \\
542    (\theta^{n+1/2},S^{n+1/2}) & = & {\cal L}^{-1}_{\theta,S} (\theta^*,S^*)
543    \label{eq:t-n+1-staggered} \\
544    \phi^{n+1/2}_{hyd} & = & \int b(\theta^{n+1/2},S^{n+1/2}) dr
545    \label{eq:phi-hyd-staggered} \\
546    \vec{\bf G}_{\vec{\bf v}}^{n} & = & \vec{\bf G}_{\vec{\bf v}} ( \vec{\bf v}^n )
547    \label{eq:Gv-n-staggered} \\
548    \vec{\bf G}_{\vec{\bf v}}^{(n+1/2)} & = & (3/2 + \epsilon_{AB} ) \vec{\bf G}_{\vec{\bf v}}^{n} - (1/2 + \epsilon_{AB} ) \vec{\bf G}_{\vec{\bf v}}^{n-1}
549    \label{eq:Gv-n+5-staggered} \\
550    \vec{\bf v}^{*} & = & \vec{\bf v}^{n} + \Delta t \left( \vec{\bf G}_{\vec{\bf v}}^{(n+1/2)} - \nabla \phi_{hyd}^{n+1/2} \right)
551    \label{eq:vstar-staggered} \\
552    \vec{\bf v}^{**} & = & {\cal L}_{\vec{\bf v}}^{-1} ( \vec{\bf v}^* )
553    \label{eq:vstarstar-staggered} \\
554    \eta^* & = & \epsilon_{fs} \left( \eta^{n} +P-E+R \right)- \Delta t
555      \nabla \cdot H \widehat{ \vec{\bf v}^{**} }
556    \label{eq:nstar-staggered} \\
557    \nabla \cdot g H \nabla \eta^{n+1} - \frac{\epsilon_{fs} \eta^{n+1}}{\Delta t^2}
558    & = & - \frac{\eta^*}{\Delta t^2}
559    \label{eq:elliptic-staggered} \\
560    \vec{\bf v}^{n+1} & = & \vec{\bf v}^{*} - \Delta t g \nabla \eta^{n+1}
561    \label{eq:v-n+1-staggered}
562    \end{eqnarray}
563    The calling sequence is unchanged from
564    Fig.~\ref{fig:call-tree-adams-bashforth-sync}. The staggered algorithm
565    is activated with the run-time flag {\bf staggerTimeStep=.TRUE.} in
566    {\em PARM01} of {\em data}.
567    
568    The only difficulty with this approach is apparent in equation
569    \ref{eq:Gt-n-staggered} and illustrated by the dotted arrow
570    connecting $u,v^n$ with $G_\theta^{n-1/2}$. The flow used to advect
571    tracers around is not naturally located in time. This could be avoided
572    by applying the Adams-Bashforth extrapolation to the tracer field
573    itself and advecting that around but this approach is not yet
574    available. We're not aware of any detrimental effect of this
575    feature. The difficulty lies mainly in interpretation of what
576    time-level variables and terms correspond to.
577    
578    
579    \section{Non-hydrostatic formulation}
580    \label{sect:non-hydrostatic}
581    
582    The non-hydrostatic formulation re-introduces the full vertical
583    momentum equation and requires the solution of a 3-D elliptic
584    equations for non-hydrostatic pressure perturbation. We still
585    intergrate vertically for the hydrostatic pressure and solve a 2-D
586    elliptic equation for the surface pressure/elevation for this reduces
587    the amount of work needed to solve for the non-hydrostatic pressure.
588    
589    The momentum equations are discretized in time as follows:
590    \begin{eqnarray}
591    \frac{1}{\Delta t} u^{n+1} + g \partial_x \eta^{n+1} + \partial_x \phi_{nh}^{n+1}
592    & = & \frac{1}{\Delta t} u^{n} + G_u^{(n+1/2)} \label{eq:discrete-time-u-nh} \\
593    \frac{1}{\Delta t} v^{n+1} + g \partial_y \eta^{n+1} + \partial_y \phi_{nh}^{n+1}
594    & = & \frac{1}{\Delta t} v^{n} + G_v^{(n+1/2)} \label{eq:discrete-time-v-nh} \\
595    \frac{1}{\Delta t} w^{n+1} + \partial_r \phi_{nh}^{n+1}
596    & = & \frac{1}{\Delta t} w^{n} + G_w^{(n+1/2)} \label{eq:discrete-time-w-nh} \\
597    \end{eqnarray}
598    which must satisfy the discrete-in-time depth integrated continuity,
599    equation~\ref{eq:discrete-time-backward-free-surface} and the local continuity equation
600    \begin{equation}
601    \partial_x u^{n+1} + \partial_y v^{n+1} + \partial_r w^{n+1} = 0
602    \label{eq:non-divergence-nh}
603    \end{equation}
604    As before, the explicit predictions for momentum are consolidated as:
605  \begin{eqnarray*}  \begin{eqnarray*}
606  \left[ 1 - \partial_r \kappa_v^\theta \partial_r \right]  u^* & = & u^n + \Delta t G_u^{(n+1/2)} \\
607  \theta^{n+1/2} & = & \theta^*  v^* & = & v^n + \Delta t G_v^{(n+1/2)} \\
608  \\  w^* & = & w^n + \Delta t G_w^{(n+1/2)}
 \left[ 1 - \partial_r \kappa_v^S \partial_r \right]  
 S^{n+1/2} & = & S^*  
 \end{eqnarray*}  
 with  
 \begin{eqnarray*}  
 \theta^* & = &  
 \theta ^{(n-1/2)} + \Delta t G_{\theta} ^{(n)}  
 \\  
 S^* & = &  
 S ^{(n-1/2)} + \Delta t G_{S} ^{(n)}  
609  \end{eqnarray*}  \end{eqnarray*}
610  And  but this time we introduce an intermediate step by splitting the
611  \begin{eqnarray*}  tendancy of the flow as follows:
612  %{b'}^{n+1/2} & = & b'(\theta^{n+1/2},S^{n+1/2},r)  \begin{eqnarray}
613  %\\  u^{n+1} = u^{**} - \Delta t \partial_x \phi_{nh}^{n+1}
614  %\partial_r {\phi'_{hyd}}^{n+1/2} & = & {-b'}^{n+1/2}  & &
615  {\phi'_{hyd}}^{n+1/2} & = & \int_{r'}^{R_o} b'(\theta^{n+1/2},S^{n+1/2},r) dr  u^{**} = u^{*} - \Delta t g \partial_x \eta^{n+1} \\
616  %\label{eq-tDsC-hyd}  v^{n+1} = v^{**} - \Delta t \partial_y \phi_{nh}^{n+1}
617  \\  & &
618  \vec{\bf v} ^{n+1}  v^{**} = v^{*} - \Delta t g \partial_y \eta^{n+1}
619  + \Delta t {\bf \nabla}_h b_s {\eta}^{n+1}  \end{eqnarray}
620  + \epsilon_{nh} \Delta t {\bf \nabla}_h {\phi'_{nh}}^{n+1}  Substituting into the depth integrated continuity
621  - \partial_r A_v \partial_r \vec{\bf v}^{n+1}  (equation~\ref{eq:discrete-time-backward-free-surface}) gives
622    \begin{equation}
623    \partial_x H \partial_x \left( g \eta^{n+1} + \widehat{\phi}_{nh}^{n+1} \right)
624    +
625    \partial_y H \partial_y \left( g \eta^{n+1} + \widehat{\phi}_{nh}^{n+1} \right)
626     - \frac{\epsilon_{fs}\eta^*}{\Delta t^2}
627    = - \frac{\eta^*}{\Delta t^2}
628    \end{equation}
629    which is approximated by equation
630    \ref{eq:elliptic-backward-free-surface} on the basis that i)
631    $\phi_{nh}^{n+1}$ is not yet known and ii) $\nabla \widehat{\phi}_{nh}
632    << g \nabla \eta$. If \ref{eq:elliptic-backward-free-surface} is
633    solved accurately then the implication is that $\widehat{\phi}_{nh}
634    \approx 0$ so that thet non-hydrostatic pressure field does not drive
635    barotropic motion.
636    
637    The flow must satisfy non-divergence
638    (equation~\ref{eq:non-divergence-nh}) locally, as well as depth
639    integrated, and this constraint is used to form a 3-D elliptic
640    equations for $\phi_{nh}^{n+1}$:
641    \begin{equation}
642    \partial_{xx} \phi_{nh}^{n+1} + \partial_{yy} \phi_{nh}^{n+1} +
643    \partial_{rr} \phi_{nh}^{n+1} =
644    \partial_x u^{**} + \partial_y v^{**} + \partial_r w^{*}
645    \end{equation}
646    
647    The entire algorithm can be summarized as the sequential solution of
648    the following equations:
649    \begin{eqnarray}
650    u^{*} & = & u^{n} + \Delta t G_u^{(n+1/2)} \label{eq:ustar-nh} \\
651    v^{*} & = & v^{n} + \Delta t G_v^{(n+1/2)} \label{eq:vstar-nh} \\
652    w^{*} & = & w^{n} + \Delta t G_w^{(n+1/2)} \label{eq:wstar-nh} \\
653    \eta^* & = & \epsilon_{fs} \left( \eta^{n} +P-E+R \right)- \Delta t
654      \partial_x H \widehat{u^{*}}
655    + \partial_y H \widehat{v^{*}}
656    \\
657      \partial_x g H \partial_x \eta^{n+1}
658    + \partial_y g H \partial_y \eta^{n+1}
659    - \frac{\epsilon_{fs} \eta^{n+1}}{\Delta t^2}
660  & = &  & = &
661  \vec{\bf v}^*  - \frac{\eta^*}{\Delta t^2}
662  %\label{eq-tDsC-Hmom}  \label{eq:elliptic-nh}
663  \\  \\
664  \epsilon_{fs} {\eta}^{n+1} + \Delta t  u^{**} & = & u^{*} - \Delta t g \partial_x \eta^{n+1} \label{eq:unx-nh}\\
665  {\bf \nabla}_h \cdot \int_{R_{fixed}}^{R_o} \vec{\bf v}^{n+1} dr  v^{**} & = & v^{*} - \Delta t g \partial_y \eta^{n+1} \label{eq:vnx-nh}\\
666  & = &  \partial_{xx} \phi_{nh}^{n+1} + \partial_{yy} \phi_{nh}^{n+1} +
667  \epsilon_{fs} {\eta}^{n} + \epsilon_{fw} \Delta_t (P-E)^{n}  \partial_{rr} \phi_{nh}^{n+1} & = &
668  \\  \partial_x u^{**} + \partial_y v^{**} + \partial_r w^{*} \\
669  \epsilon_{nh} \left( \dot{r} ^{n+1}  u^{n+1} & = & u^{**} - \Delta t \partial_x \phi_{nh}^{n+1} \label{eq:un+1-nh}\\
670  + \Delta t \partial_r {\phi'_{nh}} ^{n+1}  v^{n+1} & = & v^{**} - \Delta t \partial_y \phi_{nh}^{n+1} \label{eq:vn+1-nh}\\
671  \right)  \partial_r w^{n+1} & = & - \partial_x u^{n+1} - \partial_y v^{n+1}
672  & = & \epsilon_{nh} \dot{r}^*  \end{eqnarray}
673  %\label{eq-tDsC-Vmom}  where the last equation is solved by vertically integrating for
674  \\  $w^{n+1}$.
 {\bf \nabla}_h \cdot \vec{\bf v}^{n+1} + \partial_r \dot{r}^{n+1}  
 & = & 0  
 %\label{eq-tDsC-cont}  
 \end{eqnarray*}  
 with  
 \begin{eqnarray*}  
 \vec{\bf v}^* & = &  
 \vec{\bf v} ^{n} + \Delta t \vec{\bf G}_{\vec{\bf v}} ^{(n+1/2)}  
 + \Delta t  {\bf \nabla}_h {\phi'_{hyd}}^{n+1/2}  
 \\  
 \dot{r}^* & = &  
 \dot{r} ^{n} + \Delta t G_{\dot{r}} ^{(n+1/2)}  
 \end{eqnarray*}  
675    
 %---------------------------------------------------------------------  
676    
 \subsection{Surface pressure}  
677    
678  Substituting \ref{eq-tDsC-Hmom} into \ref{eq-tDsC-cont}, assuming  \section{Variants on the Free Surface}
679  $\epsilon_{nh} = 0$ yields a Helmholtz equation for ${\eta}^{n+1}$:  
680    We now describe the various formulations of the free-surface that
681    include non-linear forms, implicit in time using Crank-Nicholson,
682    explicit and [one day] split-explicit. First, we'll reiterate the
683    underlying algorithm but this time using the notation consistent with
684    the more general vertical coordinate $r$. The elliptic equation for
685    free-surface coordinate (units of $r$), corresponding to
686    \ref{eq:discrete-time-backward-free-surface}, and
687    assuming no non-hydrostatic effects ($\epsilon_{nh} = 0$) is:
688  \begin{eqnarray}  \begin{eqnarray}
689  \epsilon_{fs} {\eta}^{n+1} -  \epsilon_{fs} {\eta}^{n+1} -
690  {\bf \nabla}_h \cdot \Delta t^2 (R_o-R_{fixed})  {\bf \nabla}_h \cdot \Delta t^2 (R_o-R_{fixed}) {\bf \nabla}_h b_s
691  {\bf \nabla}_h b_s {\eta}^{n+1}  {\eta}^{n+1} = {\eta}^*
 = {\eta}^*  
692  \label{eq-solve2D}  \label{eq-solve2D}
693  \end{eqnarray}  \end{eqnarray}
694  where  where
# Line 356  where Line 699  where
699  \label{eq-solve2D_rhs}  \label{eq-solve2D_rhs}
700  \end{eqnarray}  \end{eqnarray}
701    
702  Once ${\eta}^{n+1}$ has been found substituting into \ref{eq-tDsC-Hmom}  \fbox{ \begin{minipage}{4.75in}
703  would yield $\vec{\bf v}^{n+1}$ if the model is hydrostatic  {\em S/R SOLVE\_FOR\_PRESSURE} ({\em solve\_for\_pressure.F})
704  ($\epsilon_{nh}=0$):  
705    $u^*$: {\bf GuNm1} ({\em DYNVARS.h})
706    
707    $v^*$: {\bf GvNm1} ({\em DYNVARS.h})
708    
709    $\eta^*$: {\bf cg2d\_b} (\em SOLVE\_FOR\_PRESSURE.h)
710    
711    $\eta^{n+1}$: {\bf etaN} (\em DYNVARS.h)
712    
713    \end{minipage} }
714    
715    
716    Once ${\eta}^{n+1}$ has been found, substituting into
717    \ref{eq:discrete-time-u,eq:discrete-time-v} yields $\vec{\bf v}^{n+1}$ if the model is
718    hydrostatic ($\epsilon_{nh}=0$):
719  $$  $$
720  \vec{\bf v}^{n+1} = \vec{\bf v}^{*}  \vec{\bf v}^{n+1} = \vec{\bf v}^{*}
721  - \Delta t {\bf \nabla}_h b_s {\eta}^{n+1}  - \Delta t {\bf \nabla}_h b_s {\eta}^{n+1}
# Line 366  $$ Line 723  $$
723    
724  This is known as the correction step. However, when the model is  This is known as the correction step. However, when the model is
725  non-hydrostatic ($\epsilon_{nh}=1$) we need an additional step and an  non-hydrostatic ($\epsilon_{nh}=1$) we need an additional step and an
726  additional equation for $\phi'_{nh}$. This is obtained by  additional equation for $\phi'_{nh}$. This is obtained by substituting
727  substituting \ref{eq-tDsC-Hmom} and \ref{eq-tDsC-Vmom} into  \ref{eq:discrete-time-u-nh}, \ref{eq:discrete-time-v-nh} and \ref{eq:discrete-time-w-nh}
728  \ref{eq-tDsC-cont}:  into continuity:
729  \begin{equation}  \begin{equation}
730  \left[ {\bf \nabla}_h^2 + \partial_{rr} \right] {\phi'_{nh}}^{n+1}  \left[ {\bf \nabla}_h^2 + \partial_{rr} \right] {\phi'_{nh}}^{n+1}
731  = \frac{1}{\Delta t} \left(  = \frac{1}{\Delta t} \left(
# Line 389  Finally, the horizontal velocities at th Line 746  Finally, the horizontal velocities at th
746  - \epsilon_{nh} \Delta t {\bf \nabla}_h {\phi'_{nh}}^{n+1}  - \epsilon_{nh} \Delta t {\bf \nabla}_h {\phi'_{nh}}^{n+1}
747  \end{equation}  \end{equation}
748  and the vertical velocity is found by integrating the continuity  and the vertical velocity is found by integrating the continuity
749  equation vertically.  equation vertically.  Note that, for the convenience of the restart
750  Note that, for convenience regarding the restart procedure,  procedure, the vertical integration of the continuity equation has
751  the integration of the continuity equation has been  been moved to the beginning of the time step (instead of at the end),
 moved at the beginning of the time step (instead of at the end),  
752  without any consequence on the solution.  without any consequence on the solution.
753    
754  Regarding the implementation, all those computation are done  \fbox{ \begin{minipage}{4.75in}
755  within the routine {\it SOLVE\_FOR\_PRESSURE} and its dependent  {\em S/R CORRECTION\_STEP} ({\em correction\_step.F})
756  {\it CALL}s.  
757  The standard method to solve the 2D elliptic problem (\ref{eq-solve2D})  $\eta^{n+1}$: {\bf etaN} (\em DYNVARS.h)
758  uses the conjugate gradient method (routine {\it CG2D}); The  
759  the solver matrix and conjugate gradient operator are only function  $\phi_{nh}^{n+1}$: {\bf phi\_nh} (\em DYNVARS.h)
760  of the discretized domain and are therefore evaluated separately,  
761  before the time iteration loop, within {\it INI\_CG2D}.  $u^*$: {\bf GuNm1} ({\em DYNVARS.h})
762  The computation of the RHS $\eta^*$ is partly  
763  done in {\it CALC\_DIV\_GHAT} and in {\it SOLVE\_FOR\_PRESSURE}.  $v^*$: {\bf GvNm1} ({\em DYNVARS.h})
764    
765  The same method is applied for the non hydrostatic part, using  $u^{n+1}$: {\bf uVel} ({\em DYNVARS.h})
766  a conjugate gradient 3D solver ({\it CG3D}) that is initialized  
767  in {\it INI\_CG3D}. The RHS terms of 2D and 3D problems  $v^{n+1}$: {\bf vVel} ({\em DYNVARS.h})
768  are computed together, within the same part of the code.  
769    \end{minipage} }
770    
771    
772    
773    Regarding the implementation of the surface pressure solver, all
774    computation are done within the routine {\it SOLVE\_FOR\_PRESSURE} and
775    its dependent calls.  The standard method to solve the 2D elliptic
776    problem (\ref{eq-solve2D}) uses the conjugate gradient method (routine
777    {\it CG2D}); the solver matrix and conjugate gradient operator are
778    only function of the discretized domain and are therefore evaluated
779    separately, before the time iteration loop, within {\it INI\_CG2D}.
780    The computation of the RHS $\eta^*$ is partly done in {\it
781    CALC\_DIV\_GHAT} and in {\it SOLVE\_FOR\_PRESSURE}.
782    
783    The same method is applied for the non hydrostatic part, using a
784    conjugate gradient 3D solver ({\it CG3D}) that is initialized in {\it
785    INI\_CG3D}. The RHS terms of 2D and 3D problems are computed together
786    at the same point in the code.
787    
788    
789    
 \newpage  
 %-----------------------------------------------------------------------------------  
790  \subsection{Crank-Nickelson barotropic time stepping}  \subsection{Crank-Nickelson barotropic time stepping}
791    
792  The full implicit time stepping described previously is unconditionally stable  The full implicit time stepping described previously is
793  but damps the fast gravity waves, resulting in a loss of  unconditionally stable but damps the fast gravity waves, resulting in
794  gravity potential energy.  a loss of potential energy.  The modification presented now allows one
795  The modification presented hereafter allows to combine an implicit part  to combine an implicit part ($\beta,\gamma$) and an explicit part
796  ($\beta,\gamma$) and an explicit part ($1-\beta,1-\gamma$) for the surface  ($1-\beta,1-\gamma$) for the surface pressure gradient ($\beta$) and
797  pressure gradient ($\beta$) and for the barotropic flow divergence ($\gamma$).  for the barotropic flow divergence ($\gamma$).
798  \\  \\
799  For instance, $\beta=\gamma=1$ is the previous fully implicit scheme;  For instance, $\beta=\gamma=1$ is the previous fully implicit scheme;
800  $\beta=\gamma=1/2$ is the non damping (energy conserving), unconditionally  $\beta=\gamma=1/2$ is the non damping (energy conserving), unconditionally
# Line 431  In the code, $\beta,\gamma$ are defined Line 805  In the code, $\beta,\gamma$ are defined
805  {\it implicSurfPress}, {\it implicDiv2DFlow}. They are read from  {\it implicSurfPress}, {\it implicDiv2DFlow}. They are read from
806  the main data file "{\it data}" and are set by default to 1,1.  the main data file "{\it data}" and are set by default to 1,1.
807    
808  Equations \ref{eq-tDsC-Hmom} and \ref{eq-tDsC-eta} are modified as follows:  Equations \ref{eq:ustar-backward-free-surface} --
809    \ref{eq:vn+1-backward-free-surface} are modified as follows:
810  $$  $$
811  \frac{ \vec{\bf v}^{n+1} }{ \Delta t }  \frac{ \vec{\bf v}^{n+1} }{ \Delta t }
812  + {\bf \nabla}_h b_s [ \beta {\eta}^{n+1} + (1-\beta) {\eta}^{n} ]  + {\bf \nabla}_h b_s [ \beta {\eta}^{n+1} + (1-\beta) {\eta}^{n} ]
# Line 457  where: Line 832  where:
832  [ \gamma \vec{\bf v}^* + (1-\gamma) \vec{\bf v}^{n}] dr  [ \gamma \vec{\bf v}^* + (1-\gamma) \vec{\bf v}^{n}] dr
833  \end{eqnarray*}  \end{eqnarray*}
834  \\  \\
835  In the hydrostatic case ($\epsilon_{nh}=0$),  In the hydrostatic case ($\epsilon_{nh}=0$), allowing us to find
836  this allow to find ${\eta}^{n+1}$, according to:  ${\eta}^{n+1}$, thus:
837  $$  $$
838  \epsilon_{fs} {\eta}^{n+1} -  \epsilon_{fs} {\eta}^{n+1} -
839  {\bf \nabla}_h \cdot \beta\gamma \Delta t^2 b_s (R_o - R_{fixed})  {\bf \nabla}_h \cdot \beta\gamma \Delta t^2 b_s (R_o - R_{fixed})
# Line 472  $$ Line 847  $$
847  $$  $$
848    
849  The non-hydrostatic part is solved as described previously.  The non-hydrostatic part is solved as described previously.
850  \\ \\  
851  N.B:  Note that:
852  \\  \begin{enumerate}
853   a) The non-hydrostatic part of the code has not yet been  \item The non-hydrostatic part of the code has not yet been
854  updated, %since it falls out of the purpose of this test,  updated, so that this option cannot be used with $(\beta,\gamma) \neq (1,1)$.
855  so that this option cannot be used with $(\beta,\gamma) \neq (1,1)$.  \item The stability criteria with Crank-Nickelson time stepping
856  \\  for the pure linear gravity wave problem in cartesian coordinates is:
857  b) To remind, the stability criteria with the Crank-Nickelson time stepping  \begin{itemize}
858  for the pure linear gravity wave problem in cartesian coordinate is:  \item $\beta + \gamma < 1$ : unstable
859  \\  \item $\beta \geq 1/2$ and $ \gamma \geq 1/2$ : stable
860  $\star$~ $\beta + \gamma < 1$ : unstable  \item $\beta + \gamma \geq 1$ : stable if
 \\  
 $\star$~ $\beta \geq 1/2$ and $ \gamma \geq 1/2$ : stable  
 \\  
 $\star$~ $\beta + \gamma \geq 1$ : stable if  
 %, for all wave length $(k\Delta x,l\Delta y)$  
861  $$  $$
862  c_{max}^2 (\beta - 1/2)(\gamma - 1/2) + 1 \geq 0  c_{max}^2 (\beta - 1/2)(\gamma - 1/2) + 1 \geq 0
863  $$  $$
# Line 502  $$ Line 872  $$
872  c_{max} =  2 \Delta t \: \sqrt{g H} \:  c_{max} =  2 \Delta t \: \sqrt{g H} \:
873  \sqrt{ \frac{1}{\Delta x^2} + \frac{1}{\Delta y^2} }  \sqrt{ \frac{1}{\Delta x^2} + \frac{1}{\Delta y^2} }
874  $$  $$
875    \end{itemize}
876    \end{enumerate}
877    

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