3 |
|
|
4 |
\subsection{The adjoint of MITsim} |
\subsection{The adjoint of MITsim} |
5 |
|
|
6 |
The ability to generate tangent linear and adjoint model components |
|
7 |
of the MITsim has been a main design task. |
The ability to generate tangent linear and adjoint components |
8 |
|
of a coupled ocean sea-ice system was one of the main drivers |
9 |
|
behind the MITsim development. |
10 |
For the ocean the adjoint capability has proven to be an |
For the ocean the adjoint capability has proven to be an |
11 |
invaluable tool for sensitivity analysis as well as state estimation. |
invaluable tool for sensitivity analysis as well as state estimation, |
12 |
In short, the adjoint enables very efficient computation of the gradient |
as evidenced by various adjoint-based studies |
13 |
of scalar-valued model diagnostics (called cost function or objective function) |
(for a recent summary, see \cite{heim:08}). |
14 |
with respect to many model "variables". |
|
15 |
These variables can be two- or three-dimensional fields of initial |
The adjoint model operator (ADM) is the transpose of the tangent linear |
16 |
conditions, model parameters such as mixing coefficients, or |
model operator (TLM) |
17 |
time-varying surface or lateral (open) boundary conditions. |
of the full (in general nonlinear) forward model, i.e. the MITsim. |
18 |
|
It enables very efficient computation of gradients |
19 |
|
of scalar-valued model diagnostics |
20 |
|
(so-called cost function or objective function) |
21 |
|
with respect to many model inputs (so-called independent or control variables). |
22 |
|
These inputs can be two- or three-dimensional fields of initial |
23 |
|
conditions of the ocean or sea-ice state, model parameters such as |
24 |
|
mixing coefficients, or time-varying surface or lateral (open) boundary conditions. |
25 |
When combined, these variables span a potentially high-dimensional |
When combined, these variables span a potentially high-dimensional |
26 |
(e.g. O(10$^8$)) so-called control space. Performing parameter perturbations |
(e.g. O(10$^8$)) so-called control space. Performing parameter perturbations |
27 |
to assess model sensitivities quickly becomes prohibitive at these scales. |
to assess model sensitivities quickly becomes prohibitive at these scales. |
28 |
Alternatively, (time-varying) sensitivities of the objective function |
Alternatively, transient sensitivities of the objective function |
29 |
to any element of the control space can be computed very efficiently in |
to any element of the control and model state space can be computed |
30 |
one single adjoint |
very efficiently in one single adjoint |
31 |
model integration, provided an efficient adjoint model is available. |
model integration, provided an efficient adjoint model is available. |
32 |
|
|
33 |
[REFERENCES] |
Following closely the development and maintenance of the |
34 |
|
TLM and ADM components of the MITgcm we have relied heavily on the |
|
|
|
|
The adjoint operator (ADM) is the transpose of the tangent linear operator (TLM) |
|
|
of the full (in general nonlinear) forward model, i.e. the MITsim. |
|
|
The TLM maps perturbations of elements of the control space |
|
|
(e.g. initial ice thickness distribution) |
|
|
via the model Jacobian |
|
|
to a perturbation in the objective function |
|
|
(e.g. sea-ice export at the end of the integration interval). |
|
|
\textit{Tangent} linearity ensures that the derivatives are evaluated |
|
|
with respect to the underlying model trajectory at each point in time. |
|
|
This is crucial for nonlinear trajectories and the presence of different |
|
|
regimes (e.g. effect of the seaice growth term at or away from the |
|
|
freezing point of the ocean surface). |
|
|
Ensuring tangent linearity can be easily achieved by integrating |
|
|
the full model in sync with the TLM to provide the underlying model state. |
|
|
Ensuring \textit{tangent} adjoints is equally crucial, but much more |
|
|
difficult to achieve because of the reverse nature of the integration: |
|
|
the adjoint accumulates sensitivities backward in time, |
|
|
starting from a unit perturbation of the objective function. |
|
|
The adjoint model requires the model state in reverse order. |
|
|
This presents one of the major complications in deriving an |
|
|
exact, i.e. \textit{tangent} adjoint model. |
|
|
|
|
|
Following closely the development and maintenance of TLM and ADM |
|
|
components of the MITgcm we have relied heavily on the |
|
35 |
autmomatic differentiation (AD) tool |
autmomatic differentiation (AD) tool |
36 |
"Transformation of Algorithms in Fortran" (TAF) |
"Transformation of Algorithms in Fortran" (TAF) |
37 |
developed by Fastopt (Giering and Kaminski, 1998) |
developed by Fastopt \citep{gier-kami:98}. |
38 |
to derive TLM and ADM code of the MITsim. |
to derive TLM and ADM code of the MITsim |
39 |
|
(for details see \cite{maro-etal:99}, \cite{heim-etal:05}). |
40 |
Briefly, the nonlinear parent model is fed to the AD tool which produces |
Briefly, the nonlinear parent model is fed to the AD tool which produces |
41 |
derivative code for the specified control space and objective function. |
derivative code for the specified control space and objective function. |
42 |
Following this approach has (apart from its evident success) |
Apart from its evident success, advantages of this approach have been |
43 |
several advantages: |
pointed out, e.g. by \cite{gier-kami:98}. |
44 |
(1) the adjoint model is the exact adjoint operator of the parent model, |
|
45 |
(2) the adjoint model can be kept up to date with respect to ongoing |
Many issues underlying the efficient exact adjoint sea-ice code generation |
46 |
development of the parent model, and adjustments to the parent model |
are similar to those arising for the ocean model's adjoint. |
47 |
to extend the automatically generated adjoint are incremental changes |
Linearizing the model around the exact nonlinear model trajectory, |
48 |
only, rather than extensive re-developments, |
as we do, is a crucial aspect in the presence of different |
49 |
(3) the parallel structure of the parent model is preserved |
regimes (e.g. effect of the seaice growth term at or away from the |
50 |
by the adjoint model, ensuring efficient use in high performance |
freezing point of the ocean surface). |
51 |
computing environments. |
Adjusting the (parent) model code to support the AD tool in |
52 |
|
providing exact and efficient adjoint code is the main initial work. |
53 |
Some initial code adjustments are required to support dependency analysis |
This may be substantial for legacy code, but fairly straightforward |
54 |
of the flow reversal and certain language limitations which may lead |
when coding with "AD application in mind". |
|
to irreducible flow graphs (e.g. GOTO statements). |
|
|
The problem of providing the required model state in reverse order |
|
|
at the time of evaluating nonlinear or conditional |
|
|
derivatives is solved via balancing |
|
|
storing vs. recomputation of the model state in a multi-level |
|
|
checkpointing loop. |
|
|
Again, an initial code adjustment is required to support TAFs |
|
|
checkpointing capability. |
|
|
The code adjustments are sufficiently simple so as not to cause |
|
|
major limitations to the full nonlinear parent model. |
|
55 |
Once in place, an adjoint model of a new model configuration |
Once in place, an adjoint model of a new model configuration |
56 |
may be derived in about 10 minutes. |
may be derived in about 10 minutes. |
57 |
|
|
68 |
* approximate adjoints |
* approximate adjoints |
69 |
|
|
70 |
|
|
71 |
\subsection{An example: sensitivities of sea-ice export through Fram Strait} |
\subsection{An example: sensitivities of sea-ice export through |
72 |
|
the Lancaster and Jones Sound} |
73 |
|
|
74 |
We demonstrate the power of the adjoint method |
We demonstrate the power of the adjoint method |
75 |
in the context of investigating sea-ice export sensitivities through Fram Strait |
in the context of investigating sea-ice export sensitivities through |
76 |
(for details of this study see Heimbach et al., 2007). |
Lancaster and Jones Sound. The rationale for doing so is to complement |
77 |
%\citep[for details of this study see][]{heimbach07}. %Heimbach et al., 2007). |
the analysis of sea-ice dynamics in the presence of narrow straits. |
78 |
The domain chosen is a coarsened version of the Arctic face of the |
Lancaster Sound is one of the main outflow paths of sea-ice flowing |
79 |
|
through the Canadian Arctic Archipelago (CAA). |
80 |
|
Export sensitivities reflect dominant |
81 |
|
pathways through the CAA as resolved by the model. |
82 |
|
Sensitivity maps can shed a very detailed light on various quantities |
83 |
|
affecting the sea-ice export (and thus the underlying pathways). |
84 |
|
Note that while the dominant circulation through Lancaster Sound is |
85 |
|
toward the East, there is a small Westward flow to the North, |
86 |
|
hugging the coast of Devon Island [ARE WE RESOLVING THIS?], |
87 |
|
see e.g. \cite{mell:02, mich-etal:06,muen-etal:06}. |
88 |
|
|
89 |
|
The model domain is a coarsened version of the Arctic face of the |
90 |
high-resolution cubed-sphere configuration of the ECCO2 project |
high-resolution cubed-sphere configuration of the ECCO2 project |
91 |
\citep[see][]{menemenlis05}. It covers the entire Arctic, |
\citep[see][]{menemenlis05}. It covers the entire Arctic, |
92 |
extends into the North Pacific such as to cover the entire |
extends into the North Pacific such as to cover the entire |
99 |
(benchmarks have been performed both on an SGI Altix as well as an |
(benchmarks have been performed both on an SGI Altix as well as an |
100 |
IBM SP5 at NASA/ARC). |
IBM SP5 at NASA/ARC). |
101 |
|
|
102 |
Following a 1-year spinup, the model has been integrated for four |
Following a 3-year spinup, the model has been integrated for four |
103 |
years between 1992 and 1995. It is forced using realistic 6-hourly |
years and five months between January 1989 and May 1993. |
104 |
|
It is forced using realistic 6-hourly |
105 |
NCEP/NCAR atmospheric state variables. Over the open ocean these are |
NCEP/NCAR atmospheric state variables. Over the open ocean these are |
106 |
converted into air-sea fluxes via the bulk formulae of |
converted into air-sea fluxes via the bulk formulae of |
107 |
\citet{large04}. Derivation of air-sea fluxes in the presence of |
\citet{large04}. Derivation of air-sea fluxes in the presence of |
108 |
sea-ice is handled by the ice model as described in \refsec{model}. |
sea-ice is handled by the ice model as described in \refsec{model}. |
109 |
The objective function chosen is sea-ice export through Fram Strait |
The objective function chosen is |
110 |
computed for December 1995. The adjoint model computes sensitivities |
sea-ice export through |
111 |
to sea-ice export back in time from 1995 to 1992 along this |
Lancaster Sound at XX$^{\circ}$W |
112 |
|
averaged over an 8-month period between October 1992 and May 1993. |
113 |
|
|
114 |
|
The adjoint model computes sensitivities |
115 |
|
to sea-ice export back in time from 1993 to 1989 along this |
116 |
trajectory. In principle all adjoint model variable (i.e., Lagrange |
trajectory. In principle all adjoint model variable (i.e., Lagrange |
117 |
multipliers) of the coupled ocean/sea-ice model are available to |
multipliers) of the coupled ocean/sea-ice model |
118 |
analyze the transient sensitivity behaviour of the ocean and sea-ice |
as well as the surface atmospheric state are available to |
119 |
state. Over the open ocean, the adjoint of the bulk formula scheme |
analyze the transient sensitivity behaviour. |
120 |
|
Over the open ocean, the adjoint of the bulk formula scheme |
121 |
computes sensitivities to the time-varying atmospheric state. Over |
computes sensitivities to the time-varying atmospheric state. Over |
122 |
ice-covered parts, the sea-ice adjoint converts surface ocean |
ice-covered parts, the sea-ice adjoint converts surface ocean |
123 |
sensitivities to atmospheric sensitivities. |
sensitivities to atmospheric sensitivities. |
124 |
|
|
125 |
|
DISCUSS FORWARD STATE, INCLUDING SOME NUMBERS ON SEA-ICE EXPORT |
126 |
|
|
127 |
|
\subsection{Sensitivities to the sea-ice state} |
128 |
|
|
129 |
|
\paragraph{Sensitivities to the sea-ice thickness} |
130 |
|
|
131 |
|
The most readily interpretable ice-export sensitivity is that |
132 |
|
to ice thickness, $\partial J / \partial heff$. |
133 |
|
Fig. XXX depcits transient $\partial J / \partial heff$ using free-slip |
134 |
|
(left column) and no-slip (right column) boundary conditions. |
135 |
|
Sensitivity snapshots are depicted for (from top to bottom) |
136 |
|
12, 24, 36, and 48 months prior to May 2003. |
137 |
|
The dominant features are in accordance with expectations: |
138 |
|
|
139 |
|
(*) |
140 |
|
Dominant pattern (for the free-slip run) is that of positive sensitivities, i.e. |
141 |
|
a unit increase in sea-ice thickness in most places upstream |
142 |
|
of Lancaster Sound will increase sea-ice export through Lancaster Sound. |
143 |
|
The dominant pathway follows (backward in time) through Barrow Strait |
144 |
|
into Viscount Melville Sound, and from there trough M'Clure Strait |
145 |
|
into the Arctic Ocean (the "Northwest Passage"). |
146 |
|
Secondary paths are Northward from |
147 |
|
Viscount Melville Sound through Byam Martin Channel into |
148 |
|
Prince Gustav Adolf Sea and through Penny Strait into MacLean Strait. |
149 |
|
|
150 |
|
(*) |
151 |
|
As expected, at any given time the |
152 |
|
region of influence is larger for the free-slip than no-slip simulation. |
153 |
|
For the no-slip run, the region of influence is confined, after four years, |
154 |
|
to just West of Barrow Strait (North of Prince of Wales Island), |
155 |
|
and to the South of Penny Strait. |
156 |
|
In contrast, sensitivities of the free-slip run extend |
157 |
|
all the way to the Arctic interior both to the West |
158 |
|
(M'Clure St.) and to the North (Ballantyne St., Prince Gustav Adolf Sea, |
159 |
|
Massey Sound). |
160 |
|
|
161 |
|
(*) |
162 |
|
sensitivities seem to spread out in "pulses" (seasonal cycle) |
163 |
|
[PLOT A TIME SERIES OF ADJheff in Barrow Strait) |
164 |
|
|
165 |
|
(*) |
166 |
|
The sensitivity in Baffin Bay are more complex. |
167 |
|
The pattern evolves along the Western boundary, connecting |
168 |
|
the Lancaster Sound Polynya, the Coburg Island Polynya, and the |
169 |
|
North Water Polynya, and reaches into Nares Strait and the Kennedy Channel. |
170 |
|
The sign of sensitivities has an oscillatory character |
171 |
|
[AT FREQUENCY OF SEASONAL CYCLE?]. |
172 |
|
First, we need to establish whether forward perturbation runs |
173 |
|
corroborate the oscillatory behaviour. |
174 |
|
Then, several possible explanations: |
175 |
|
(i) connection established through Nares Strait throughflow |
176 |
|
which extends into Western boundary current in Northern Baffin Bay. |
177 |
|
(ii) sea-ice concentration there is seasonal, i.e. partly |
178 |
|
ice-free during the year. Seasonal cycle in sensitivity likely |
179 |
|
connected to ice-free vs. ice-covered parts of the year. |
180 |
|
Negative sensitivities can potentially be attributed |
181 |
|
to blocking of Lancaster Sound ice export by Western boundary ice |
182 |
|
in Baffin Bay. |
183 |
|
(iii) Alternatively to (ii), flow reversal in Lancaster Sound is a possibility |
184 |
|
(in reality there's a Northern counter current hugging the coast of |
185 |
|
Devon Island which we probably don't resolve). |
186 |
|
|
187 |
|
Remote control of Kennedy Channel on Lancaster Sound ice export |
188 |
|
seems a nice test for appropriateness of free-slip vs. no-slip BCs. |
189 |
|
|
190 |
|
\paragraph{Sensitivities to the sea-ice area} |
191 |
|
|
192 |
|
Fig. XXX depcits transient sea-ice export sensitivities |
193 |
|
to changes in sea-ice concentration |
194 |
|
$\partial J / \partial area$ using free-slip |
195 |
|
(left column) and no-slip (right column) boundary conditions. |
196 |
|
Sensitivity snapshots are depicted for (from top to bottom) |
197 |
|
12, 24, 36, and 48 months prior to May 2003. |
198 |
|
Contrary to the steady patterns seen for thickness sensitivities, |
199 |
|
the ice-concentration sensitivities exhibit a strong seasonal cycle |
200 |
|
in large parts of the domain (but synchronized on large scale). |
201 |
|
The following discussion is w.r.t. free-slip run. |
202 |
|
|
203 |
|
(*) |
204 |
|
Months, during which sensitivities are negative: |
205 |
|
\\ |
206 |
|
0 to 5 Db=N/A, Dr=5 (May-Jan) \\ |
207 |
|
10 to 17 Db=7, Dr=5 (Jul-Jan) \\ |
208 |
|
22 to 29 Db=7, Dr=5 (Jul-Jan) \\ |
209 |
|
34 to 41 Db=7, Dr=5 (Jul-Jan) \\ |
210 |
|
46 to 49 D=N/A \\ |
211 |
|
% |
212 |
|
These negative sensitivities seem to be connected to months |
213 |
|
during which main parts of the CAA are essentially entirely ice-covered. |
214 |
|
This means that increase in ice concentration during this period |
215 |
|
will likely reduce ice export due to blocking |
216 |
|
[NEED TO EXPLAIN WHY THIS IS NOT THE CASE FOR dJ/dHEFF]. |
217 |
|
Only during periods where substantial parts of the CAA are |
218 |
|
ice free (i.e. sea-ice concentration is less than one in larger parts of |
219 |
|
the CAA) will an increase in ice-concentration increase ice export. |
220 |
|
|
221 |
|
(*) |
222 |
|
Sensitivities peak about 2-3 months before sign reversal, i.e. |
223 |
|
max. negative sensitivities are expected end of July |
224 |
|
[DOUBLE CHECK THIS]. |
225 |
|
|
226 |
|
(*) |
227 |
|
Peaks/bursts of sensitivities for months |
228 |
|
14-17, 19-21, 27-29, 30-33, 38-40, 42-45 |
229 |
|
|
230 |
|
(*) |
231 |
|
Spatial "anti-correlation" (in sign) between main sensitivity branch |
232 |
|
(essentially Northwest Passage and immediate connecting channels), |
233 |
|
and remote places. |
234 |
|
For example: month 20, 28, 31.5, 40, 43. |
235 |
|
The timings of max. sensitivity extent are similar between |
236 |
|
free-slip and no-slip run; and patterns are similar within CAA, |
237 |
|
but differ in the Arctic Ocean interior. |
238 |
|
|
239 |
|
(*) |
240 |
|
Interesting (but real?) patterns in Arctic Ocean interior. |
241 |
|
|
242 |
|
\paragraph{Sensitivities to the sea-ice velocity} |
243 |
|
|
244 |
|
(*) |
245 |
|
Patterns of ADJuice at almost any point in time are rather complicated |
246 |
|
(in particular with respect to spatial structure of signs). |
247 |
|
Might warrant perturbation tests. |
248 |
|
Patterns of ADJvice, on the other hand, are more spatially coherent, |
249 |
|
but still hard to interpret (or even counter-intuitive |
250 |
|
in many places). |
251 |
|
|
252 |
|
(*) |
253 |
|
"Growth in extent of sensitivities" goes in clear pulses: |
254 |
|
almost no change between months: 0-5, 10-20, 24-32, 36-44 |
255 |
|
These essentially correspond to months of |
256 |
|
|
257 |
|
|
258 |
|
\subsection{Sensitivities to the oceanic state} |
259 |
|
|
260 |
|
\paragraph{Sensitivities to theta} |
261 |
|
|
262 |
|
\textit{Sensitivities at the surface (z = 5 m)} |
263 |
|
|
264 |
|
(*) |
265 |
|
mabye redo with caxmax=0.02 or even 0.05 |
266 |
|
|
267 |
|
(*) |
268 |
|
Core of negative sensitivities spreading through the CAA as |
269 |
|
one might expect [TEST]: |
270 |
|
Increase in SST will decrease ice thickness and therefore ice export. |
271 |
|
|
272 |
|
(*) |
273 |
|
What's maybe unexpected is patterns of positive sensitivities |
274 |
|
at the fringes of the "core", e.g. in the Southern channels |
275 |
|
(Bellot St., Peel Sound, M'Clintock Channel), and to the North |
276 |
|
(initially MacLean St., Prince Gustav Adolf Sea, Hazen St., |
277 |
|
then shifting Northward into the Arctic interior). |
278 |
|
|
279 |
|
(*) |
280 |
|
Marked sensitivity from the Arctic interior roughly along 60$^{\circ}$W |
281 |
|
propagating into Lincoln Sea, then |
282 |
|
entering Nares Strait and Smith Sound, periodically |
283 |
|
warming or cooling[???] the Lancaster Sound exit. |
284 |
|
|
285 |
|
\textit{Sensitivities at depth (z = 200 m)} |
286 |
|
|
287 |
|
(*) |
288 |
|
Negative sensitivities almost everywhere, as might be expected. |
289 |
|
|
290 |
|
(*) |
291 |
|
Sensitivity patterns between free-slip and no-slip BCs |
292 |
|
are quite similar, except in Lincoln Sea (North of Nares St), |
293 |
|
where the sign is reversed (but pattern remains similar). |
294 |
|
|
295 |
|
\paragraph{Sensitivities to salt} |
296 |
|
|
297 |
|
T.B.D. |
298 |
|
|
299 |
|
\paragraph{Sensitivities to velocity} |
300 |
|
|
301 |
|
T.B.D. |
302 |
|
|
303 |
|
\subsection{Sensitivities to the atmospheric state} |
304 |
|
|
305 |
|
\begin{itemize} |
306 |
|
% |
307 |
|
\item |
308 |
|
plot of ATEMP for 12, 24, 36, 48 months |
309 |
|
% |
310 |
|
\item |
311 |
|
plot of HEFF for 12, 24, 36, 48 months |
312 |
|
% |
313 |
|
\end{itemize} |
314 |
|
|
315 |
|
|
316 |
|
|
317 |
\reffig{4yradjheff}(a--d) depict sensitivities of sea-ice export |
\reffig{4yradjheff}(a--d) depict sensitivities of sea-ice export |
318 |
through Fram Strait in December 1995 to changes in sea-ice thickness |
through Fram Strait in December 1995 to changes in sea-ice thickness |
319 |
12, 24, 36, 48 months back in time. Corresponding sensitivities to |
12, 24, 36, 48 months back in time. Corresponding sensitivities to |
346 |
\subfigure[{\footnotesize -24 months}] |
\subfigure[{\footnotesize -24 months}] |
347 |
{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJheff_arc_lev1_tim145_cmax2.0E+02.eps}} |
{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJheff_arc_lev1_tim145_cmax2.0E+02.eps}} |
348 |
} |
} |
349 |
|
% |
|
\centerline{ |
|
|
\subfigure[{\footnotesize |
|
|
-36 months}] |
|
|
{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJheff_arc_lev1_tim218_cmax2.0E+02.eps}} |
|
|
% |
|
|
\subfigure[{\footnotesize |
|
|
-48 months}] |
|
|
{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJheff_arc_lev1_tim292_cmax2.0E+02.eps}} |
|
|
} |
|
350 |
\caption{Sensitivity of sea-ice export through Fram Strait in December 2005 to |
\caption{Sensitivity of sea-ice export through Fram Strait in December 2005 to |
351 |
sea-ice thickness at various prior times. |
sea-ice thickness at various prior times. |
352 |
\label{fig:4yradjheff}} |
\label{fig:4yradjheff}} |
353 |
\end{figure} |
\end{figure} |
354 |
|
|
355 |
|
|
|
\begin{figure}[t!] |
|
|
\centerline{ |
|
|
\subfigure[{\footnotesize -12 months}] |
|
|
{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJtheta_arc_lev1_tim072_cmax5.0E+01.eps}} |
|
|
%\includegraphics*[width=.3\textwidth]{H_c.bin_res_100_lev1} |
|
|
% |
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\subfigure[{\footnotesize -24 months}] |
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{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJtheta_arc_lev1_tim145_cmax5.0E+01.eps}} |
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} |
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\centerline{ |
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\subfigure[{\footnotesize |
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-36 months}] |
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{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJtheta_arc_lev1_tim218_cmax5.0E+01.eps}} |
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% |
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\subfigure[{\footnotesize |
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-48 months}] |
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{\includegraphics*[width=0.44\linewidth]{\fpath/run_4yr_ADJtheta_arc_lev1_tim292_cmax5.0E+01.eps}} |
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} |
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\caption{Same as \reffig{4yradjheff} but for sea surface temperature |
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\label{fig:4yradjthetalev1}} |
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\end{figure} |
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356 |
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