For Review Only - Department of Atmospheric Sciencesdargan/papers/fmff... · 2016. 4. 20. · For...
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For Review O
nly
Tropical and extratropical sources of hemispheric
asymmetry of the Intertropical Convergence Zone in an idealized coupled general circulation model
Journal: Dynamics and Statistics of the Climate System: An Interdisciplinary Journal
Manuscript ID Draft
Manuscript Type: Research Article
Date Submitted by the Author: n/a
Complete List of Authors: Fuckar, Neven Stjepan; Barcelona Supercomputing Center, Earth Sciences
Maroon, Elizabeth; University of Washington College of the Environment, Atmospheric Sciences Frierson, Dargan; University of Washington College of the Environment, Atmospheric Sciences Farneti, Riccardo; Abdus Salam International Centre for Theoretical Physics, Earth System Physics
Keywords: Intertropical Convergence Zone, Meridional overturning circulation, Coupled climate general circulation model
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Tropical and extratropical sources of hemispheric asymmetry of
the Intertropical Convergence Zone in an idealized coupled general circulation model
Neven S. Fučkar1*, Elizabeth A. Maroon2, Dargan M. W. Frierson 2
and Riccardo Farneti3
1 Earth Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
2 Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA
3 Earth System Physics Section, International Centre for Theoretical Physics, Trieste, Italy
____________________ Corresponding author address*: Neven S. Fučkar, Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, C. Jordi Girona 29, 08034 Barcelona, Spain E-mail: [email protected]
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ABSTRACT 1
2
This study uses an idealized coupled climate general circulation model (GCM) to examine 3
the role of ocean basin geometry on the structure of tropical precipitation. The north-‐south 4
asymmetry of tropical rainfall is governed both by tropical ocean-‐atmosphere interactions 5
due to the shape of tropical coastlines and by cross-‐equatorial energy transport that can be 6
driven by the ocean’s meridional overturning circulation (MOC). We compare these tropical 7
and global effects in a coupled GCM with simplified atmospheric physics and an idealized 8
land-‐ocean geometry that examines these two processes in competing roles. We use single 9
closed ocean basins with two equatorially mirrored geometries, one with tropical 10
coastlines that slant from southeast to northwest (westward) and the other with tropical 11
coastlines that slants from southwest to northeast (eastward). 12
13
When the MOC has no significant asymmetry, a slanted tropical coastline on the ocean 14
basin’s eastern side triggers cross-‐equatorial surface flow in the atmosphere towards the 15
hemisphere with more land on the eastern side of the basin. This surface flow leads to 16
higher tropical sea surface temperature (SST) and more precipitation in its destination 17
hemisphere. However, on long time scales (decadal and longer) when the deep oceanic 18
MOC develops significant asymmetry, the MOC’s influence on energy transport and tropical 19
circulation outweighs the tropical effect of the eastern slanted coastlines. We show that 20
MOC evolution places the main deep-‐water source in the hemisphere with less tropical land 21
on the eastern side of ocean basin; as a result, there is cross-‐equatorial ocean heat 22
transport, OHT(y=0), towards the hemisphere with the dominant deep-‐water production. 23
Southward (northward) OHT(y=0) in the basin with westward (eastward) slanted tropical 24
coastlines induces an anomalous cross-‐equatorial Hadley circulation with a surface branch 25
in the same direction as OHT(y=0). Surface moisture transport by this anomalous Hadley 26
circulation places the maximum of tropical precipitation -‐ i.e. the intertropical convergence 27
zone (ITCZ) -‐ in the southern (northern) hemisphere. We further test this relationship 28
between the MOC and tropical precipitation with different oceanic initial conditions 29
favoring deep-‐water production in different hemispheres. On long time scales, they 30
demonstrate a very close dynamic association of the maximum of tropical SST and the ITCZ, 31
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with the deep MOC asymmetry, OHT(y=0) and anomalous Hadley circulation. These results 32
point to the need for the development of a general theory of tropical circulation and 33
precipitation that encompasses both local and global mechanisms. 34
35
1. Introduction 36
37
The intertropical convergence zone (ITCZ) is a narrow region of the most intense 38
precipitation and most frequent deep convective clouds on Earth (Waliser and Gautier 39
1993, Philander et al 1996, Huffman et al. 2009). Figure 1 shows the long-‐term mean of 40
precipitation, which has its zonal mean maximum located near 6°N (based on analysis of 41
Xie and Arkin 1997). The ITCZ’s precipitation comes from convergence and ascent of warm, 42
moist air driven by the surface trade winds and, in specific locations, also guided by 43
topography (Webster 2004, Xie 2004, Takahashi and Battisti 2007, Maroon et al. 2015). 44
However, the location of the intense upward flow and ITCZ is also a crucial element of the 45
large-‐scale coupled global circulation that is responsible for the maintenance of the 46
planetary energy balance (Liu and Alexander 2007, Kang et al. 2008, Chiang 2009, 47
Schneider et al. 2014). A general theory for tropical precipitation that would combine both 48
local mechanisms with the global circulation and energetics is still a key open problem in 49
climate dynamics. 50
51
The influence of the meridional overturning circulation (MOC) and the associated ocean 52
heat transport (OHT) on tropical precipitation is an active area of research. It was initiated 53
to explain large and abrupt changes in the northern hemisphere (NH) climate during glacial 54
periods in the late Quaternary (Dansgaard et al. 1993, Grootes and Stuiver 1997, Peterson 55
et al. 2000, Koutavas and Lynch-‐Stieglitz 2004) that is hypothesized to stem from a 56
weakening of the Atlantic MOC (Broecker et al. 1985, Broecker 2007). This led to 57
investigation of “water-‐hosing” experiments with coupled general circulation models 58
(GCM) that force a weakening of the Atlantic MOC with additional freshwater input in the 59
northern Atlantic. The consequent reduction of Atlantic OHT leads to NH cooling and 60
southward displacement of the ITCZ (e.g. Manabe and Stouffer 1995, Vellinga and Wood 61
2002, Zhang and Delworth 2005, Cheng et al. 2007, Chiang et al. 2008, Drijfhout 2010). 62
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63
The Southern Ocean’s zonally unconstrained Antarctic circumpolar current creates the 64
most significant difference in large-‐scale ocean dynamics between the two hemispheres 65
and has a profound impact on global climate. Different geometries of the Drake Passage, a 66
narrow body of water between South America and the Antarctic Peninsula, can induce 67
ocean states with rather different MOC and OHT (e.g. Toggweiler and Bjornsson 2000, Sijp 68
and England 2004). Fučkar et al. (2013) show that different modeled sill depths of the 69
Drake Passage can force different levels of MOC asymmetry. OHT(y=0) by the MOC moves 70
heat away from the hemisphere with the circumpolar channel and towards the hemisphere 71
with active deep water production. This ocean hemispheric asymmetry leads to cross-‐72
equatorial atmospheric heat transport AHT(y=0) in the opposite direction of OHT(y=0). At 73
the equator, the Hadley circulation is responsible for the bulk of meridional AHT. Because 74
of the vertical distribution of energy in the atmosphere, energy is transported in the 75
direction of the Hadley circulation’s upper branch, and moisture transport at the surface 76
must then move in the opposite direction (e.g. Schneider et al. 2014). As a result, there is 77
more tropical precipitation in the hemisphere with deep-‐water production. 78
79
Frierson et al. (2013) explores the link between the ITCZ position and interhemispheric 80
energetics and circulation in atmospheric reanalysis data and two GCMs with slab oceans. 81
They claim that stronger heating of the NH atmosphere than the SH atmosphere is 82
necessary to place the maximum of tropical precipitation north of the equator. This 83
hemispheric asymmetry must be driven by the northward OHT(y=0) because the SH as a 84
whole receives more net radiation at the top of the atmosphere than the NH. If the ocean 85
did not transport sufficient amount of heat, having greater net TOA radiation in the SH 86
would cause greater SH tropical precipitation. Frierson et al. (2013) also show the 87
dependence of the ITCZ on OHT(y=0) in model configurations with and without continents. 88
Marshall et al. (2014) also demonstrate the key role of OHT(y=0) in placing the maximum 89
of tropical precipitation in the NH with observational analysis and numerical experiments 90
with an idealized coupled GCM that includes a dynamical ocean. 91
92
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Understanding complex systems such as the ones governing tropical precipitation requires 93
modeling and analysis of both regional and global climate domains at different levels of 94
complexity (Held 2005). Realistic configuration of continents and complex physics 95
sometimes obscure important processes from being distinctly identified. Using idealized 96
land-‐ocean geometries with simplified boundary conditions and physics can further our 97
knowledge at a more fundamental level. As these processes are understood, complexities in 98
model physics and topography can be increased, building toward a fuller picture of the 99
climate system. This study builds on the research of Fučkar et al. (2013) on coupling 100
tropical and global climate by exploring the effect of slanted tropical coastlines on tropical 101
rainfall. We contrast the roles of local atmosphere-‐ocean dynamics with the remote impact 102
of the deep MOC. Section 2 describes our simplified coupled GCM and its two idealized 103
ocean-‐land geometries. Section 3 describes the key aspects of the transient and equilibrium 104
climate states in five coupled simulations. The final section contains conclusions and 105
suggestions for future research. 106
107
2. Idealized coupled climate model 108
109
We use a coupled intermediate complexity climate model (ICCM), which is derived from the 110
Geophysical Fluid Dynamics Laboratory Climate Model version 2.0 (GFDL CM2.0; Delworth 111
et al. 2006). It differs from CM2.0 through its simplifications of both atmospheric 112
parameterizations and ocean-‐land geometry (Farneti and Vallis 2009; Vallis and Farneti 113
2009). The model solves the three-‐dimensional primitive equations for the atmosphere and 114
ocean with a dynamically consistent surface exchange of momentum, heat, and freshwater 115
fluxes. We use a coarse-‐resolution configuration with a sector atmosphere over flat land 116
and a closed (no circumpolar channel) single-‐basin flat-‐bottom ocean. This model’s 117
simplifications allow us to examine key elements of coupled tropical and global dynamics 118
in a more revealing geometrical setting, while being computationally efficient. 119
120
The atmospheric component of ICCM has 3.75°x3° horizontal resolution and 7 vertical 121
levels in a sector geometry that is 120° wide and spans meridionally from 84°S to 84°N. 122
Our atmospheric GCM is based on a moist B-‐grid primitive equation dynamical core (GFDL 123
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Global Atmospheric Model Development Team, 2004). It uses a gray radiation scheme, 124
which calculates the radiative transfer of a single longwave band through prescribed 125
optical depth (Frierson et al. 2006). As a result, the atmosphere’s radiation does not 126
depend on water vapor or clouds, but there is still latent heat release. A simplified Monin-‐127
Obukhov surface flux scheme and a K-‐profile boundary layer scheme are used. ICCM is 128
forced with a time-‐independent, zonally uniform, top-‐of-‐atmosphere solar radiation that 129
analytically fits the observed mean profile of insolation. Absorption of shortwave radiation 130
in the atmosphere is neglected. A large-‐scale condensation scheme is applied with a 131
simplified Betts–Miller convection scheme (Betts 1986; Frierson 2007). By eliminating 132
water vapor and cloud feedbacks (since radiative fluxes depend only on temperature) we 133
focus mostly on the dynamical response of the coupled climate system to changes in the 134
ocean. 135
136
The oceanic component of ICCM is the Modular Ocean Model (MOM) version 4.0 (Griffies et 137
al. 2004) and has 2°x2° horizontal resolution and 24 vertical levels. The ocean basin in both 138
configurations is 60° wide, spanning from 70°S to 70°N, with a flat bottom at 3.9 km depth. 139
In the first geometry (Exp I) the ocean basin has westward-‐slanted coastlines equatorward 140
of 14° latitude, while in the second geometry (Exp II), the ocean basin has the same tropical 141
coastline angles, but slanted eastward (Figure 2). The ocean physics parameterizations are 142
based on the standard free surface MOM4 model incorporated into the CM2.0. We use 143
constant vertical tracer diffusivity of 0.5 cm2 s-‐1 and the Gent–McWilliams (GM) skew flux 144
scheme combined with a downgradient neutral diffusion that parameterizes the effects of 145
mesoscale eddies using a constant eddy tracer diffusivity of 800 m2 s-‐1 (Gent and 146
McWilliams 1990, Griffies 1998). 147
148
The dynamic–thermodynamic sea ice simulator (SIS: Winton 2000) is computed on the 149
ocean grid. The land component, LM2.0 (GFDL Global Atmospheric Model Development 150
Team, 2004), is configured at the atmospheric horizontal resolution and is implemented as 151
a collection of soil water reservoirs with constant water availability and heat capacity at 152
each cell. The excess precipitated water is send back to the ocean at a prescribed nearby 153
point. There are no lakes, mountains, glaciers or ice sheets in the system, and because there 154
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are no clouds, surface albedo is adjusted to obtain a realistic mean climate. For more details 155
of ICCM setup, see Farneti and Vallis (2009). The latest version of ICCM is publicly available 156
from GFDL as a part of MOM5 distribution (https://fms.gfdl.noaa.gov/modeling-‐systems-‐157
group-‐public-‐releases). 158
159
Four Exp I simulations use the same basin configuration shown in Figure 2.a (I.zu, I.nh, I.bl 160
and I.sh) but they differ in their oceanic no-‐flow initial conditions (IC). Exp I.zu is initialized 161
from an ocean state with zonally uniform (zu) and hemispherically symmetric temperature 162
and salinity fields. IC at the surface roughly match annual and zonal mean sea surface 163
temperature (SST) and salinity from the World Ocean Atlas 2009 (WOA09: Locarnini, R. A. 164
et al. 2009, Antonov, J. I. et al. 2009). They exponentially decay to the model’s bottom 165
where they roughly match the surface IC at the poleward edges of the ocean basin. Exp I.zu 166
is integrated for 1000 years. Temperature and salinity from Exp I.zu are averaged over the 167
last 100 years of the simulation to construct oceanic IC for the other Exp I simulations and 168
for the Exp II simulation (details of additional simulations are in the following section). 169
ICCM’s atmosphere and land are initialized from a default uniform IC because they 170
dynamically equilibrate with the rest of coupled system on short time scales (within a 171
year). 172
173
3. Results 174
175
Westward or eastward slanted tropical coastlines are the only boundary condition 176
asymmetry between hemispheres in our coupled model. As such, the tropical coastlines are 177
forcing any aspect of hemispheric climate asymmetry, directly or indirectly. We focus on 178
the coupled ocean-‐atmosphere response of the tropics and the extratropics (i.e. the global 179
system) to the different tilts of tropical coastlines. The tropical and extratropical responses 180
have different characteristic time scales and different amplitudes of impact on the tropical 181
atmospheric circulation and precipitation. 182
183
3.1 Experiments with westward slanted tropical coastlines 184
185
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The atmosphere and ocean are strongly coupled in the tropics where atmospheric 186
convection and precipitation are closely associated with SST and the most active part of the 187
variability spectrum is on time scales shorter than decadal (e.g., Sarachik and Cane 2010). 188
The average of the first 20 years of Exp I.zu has more tropical precipitation in the NH than 189
in the Southern Hemisphere (SH, shading in Figure 3.a). This precipitation anomaly is 190
coupled to the anomalous southerly cross-‐equatorial surface wind through the wind-‐191
evaporation-‐SST (WES) feedback (Xie and Philander 1994). The cross-‐equatorial ‘‘C shape’’ 192
of the anomalous surface wind on the eastern side of the ocean basin (Figure 3.a) is a 193
signature of the WES feedback (Xie 2004, Fučkar et al. 2013). On short time scales, the WES 194
feedback connects the SH tropics with its stronger easterlies, stronger evaporation, and 195
lower SST to the weaker easterlies, weaker evaporation, and higher SST in the NH tropics. 196
This tropical asymmetry is induced by the westward slanted coastline on the eastern side 197
of the ocean basin due to the propagation of anomalies by the trade winds. Because of 198
ICCM’s relatively coarse atmospheric resolution, annual mean insolation, and lack of water 199
vapor and cloud feedbacks, the spatial structure of tropical precipitation does not shift very 200
far from the equator. 201
202
On long time scales, however, the sign and magnitude of anomalies in tropical surface wind, 203
SST and precipitation in our model is not predominantly controlled by local processes. 204
Figure 3.b shows that on multi-‐decadal to centennial time scales, zonal mean anomalous 205
SST (shading), anomalous precipitation (contours), and surface wind stress (vectors) in the 206
tropics reverse sign, which places the maximum of precipitation in the SH. The Exp I.zu 207
simulation reaches equilibrium after approximately 300 years; hence, in Figure 3.c, we 208
examine the average surface tropical conditions from years 381 to 400. Figure 3.c shows 209
that the WES feedback is still present on the eastern edge of the basin, forced by the 210
westward slanted tropical coastline. Nonetheless, there is more tropical precipitation in the 211
SH than in the NH due to the anomalous northerly cross-‐equatorial surface wind over the 212
majority of the ocean basin. Surface winds over land in the tropics do not change 213
sufficiently to play a role in this transition. In the coupled equilibrium state, the cross-‐214
equatorial “C shape” of anomalous surface winds in the middle of the basin overpowers a 215
smaller cross-‐equatorial “C shape” of anomalous northward winds on the east of the basin. 216
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This anomalous surface structure and time evolution in the tropics agrees with the results 217
of Fučkar et al. (2013); in that study, there were no slanted coastlines, and the deep MOC 218
asymmetry alone forced the tropical hemispheric symmetry. 219
220 Figure 4.a examines the key factor in the slow transition in Exp I.zu, the evolution of the 221
deep MOC. Because this experiment is initialized from zonally uniform oceanic IC, the MOC 222
behaves erratically over the first 50 years as it adjusts; afterwards, the main deep-‐water 223
source becomes firmly anchored in the SH (blue curve). The deep MOC in Exp I.zu develops 224
a stable hemispheric asymmetry after roughly 400 years of integration. 225
226
OHT(y=0) (Figure 4.b) is also southward when SH deep-‐water production becomes greater 227
than NH deep-‐water production (Figure 4.a). Southward or negative OHT(y=0) 228
accompanies the deep MOC’s asymmetry and leads to greater extratropical heat release to 229
the atmosphere in the SH than in the NH (not shown). An increased (decreased) 230
extratropical heat release from the ocean to the atmosphere in the SH (NH) makes the SH 231
(NH) the warmer (colder) hemisphere. The extratropical heat release decreases (increases) 232
the meridional surface temperature gradient between the equator and extratropics, 233
weakening (strengthening) transient eddies. The affected eddies interact with the 234
poleward edge of the Hadley circulation, and influence its strength (Kang et al 2008). The 235
Hadley circulation asymmetry index (blue curve) in Figure 4.b shows that MOC-‐forced 236
hemispheric asymmetry strengthens (weakens) the Hadley cell in the SH (NH). In 237
comparison to an equatorially symmetric state, an anomalous cross-‐equatorial Hadley cell 238
develops with its lower (upper) branch transporting moisture (heat) to the SH (NH). At the 239
surface, the anomalous Hadley circulation causes the mainly northerly anomalous surface 240
winds in deep tropics over the ocean (Figure 3c). 241
242
In the tropics, SST and precipitation anomalies are coupled on short time scales (Philander 243
et al. 1996, Chang et al 2004, Xie 2004). However, Figure 4.c shows that the evolution of the 244
interhemispheric differences of precipitation and SST on long time scales is primarily 245
determined by the deep-‐MOC asymmetry and OHT(y=0) in our model. This extratropically-‐246
forced asymmetry evolves in spite of the persistent forcing of moist surface air towards the 247
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NH at the eastern edge of the ocean basin by the WES feedback (Figure 3.c). Despite the 248
subtlety of the precipitation pattern shifts, there is distinct hemispheric asymmetry in the 249
amount of precipitation that develops. This relative NH versus SH precipitation asymmetry, 250
not the absolute ITCZ position, is the focus of our work, because the mechanisms important 251
for the hemispheric precipitation asymmetry are relevant for the observed ITCZ. 252
253 After 1000 years of integration the asymmetry of the climate state of Exp I.zu did not 254
switch hemispheres or change magnitude. Figure 5.b shows the year 801-‐1000 average of 255
the MOC streamfunction. The deep MOC asymmetry controls the OHT and extratropical 256
surface heat flux asymmetry. This surface heat flux asymmetry, in turn, drives the 257
anomalous Hadley and Ferrel cells shown in Figure 5.a. through changes in the meridional 258
temperature gradient at the surface. The Hadley circulation is thermally direct (Dima and 259
Wallace 2003, Webster 2004), so coupled tropical atmosphere–ocean dynamics place the 260
ascending branch of the anomalous Hadley cell in the hemisphere warmed by the OHT, 261
which also contains the main source of deep-‐water production. The maximum of tropical 262
precipitation accompanies the ascending branch of the Hadley circulation. 263
264
We can further test this relation between the deep MOC and tropical precipitation on long 265
time scales suggested by the Exp I.zu simulation by using different oceanic IC that are 266
conducive to deep-‐water production in a specific hemisphere or in neither hemisphere. We 267
use the average ocean temperature and salinity from Exp I.zu between years 901 and 1000 268
and as a zero-‐flow IC that favors the main deep-‐water source in the SH from year 1 (the Exp 269
I.sh simulation). The symmetric component with respect to the equator and the western 270
boundary of the basin of the same Exp I.zu temperature and salinity fields are used to 271
produce a hemispherically balanced (bl) zero-‐flow IC in Exp I.bl simulation. Finally, we 272
mirror the IC of Exp I.sh across the equator to create zero-‐flow IC that favors placing the 273
main deep-‐water source in the NH at the start of the integration in Exp I.nh simulation. 274
275
We integrated these three additional IC simulations with the same ocean-‐land geometry as 276
Exp I.zu for 500 years. Exp I.nh starts with vigorous deep-‐water production in the NH and it 277
takes more than 100 years for the MOC to reorganize its structure and shift the main deep-‐278
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water source into the SH (Figure 6.a). OHT(y=0) and the Hadley circulation asymmetry 279
(Figure 6.c), as well as the tropical SST and precipitation asymmetry, (Figure 6.f) again 280
closely follow the evolution of deep MOC on decadal and longer time scales. In the first 100 281
years, northward cross-‐equatorial OHT decreases (increases) the surface meridional 282
temperature gradient in the NH (SH) leading to a weaker (stronger) Hadley cell in that 283
hemisphere. An anomalous cross-‐equatorial Hadley cell has its lower (upper) branch 284
transporting moisture (heat) toward the NH (SH); this leads to higher tropical SST and 285
precipitation in the NH. However, by the second century of simulation, the deep MOC 286
asymmetry reverses and forces the associated reversal of the tropical circulation and 287
precipitation asymmetries, firmly placing the maximum of tropical precipitation in the SH. 288
289
The IC of Exp I.bl are in an interhemispheric sense closest to the IC of Exp I.zu, but are 290
dynamically quasi-‐balanced to avoid the random unstable MOC behavior that occurred at 291
the beginning of Exp I.zu (Figure 4.a). As a result, the deep MOC asymmetry builds 292
gradually in Exp I.bl (Figure 6.b). This asymmetry development takes more than 100 years 293
for asymmetry to favor the SH over the NH. Before the significant MOC asymmetry occurs, 294
local tropical processes place the maximum of tropical SST and precipitation in the NH 295
(Figure 6.h). However, once the MOC anchors the main source of deep water in the SH, the 296
asymmetry in the Hadley circulation (Fig. 6e), tropical SST, and tropical precipitation 297
follows the MOC asymmetry. Again, the ITCZ moves to the SH once the deep MOC 298
asymmetry fully develops (Figure 6.h). The oceanic IC in Exp I.sh favor and produce a 299
vigorous deep-‐water production in the SH from the beginning of the simulation (Figure 300
6.c). This extratropical asymmetry forces an anomalous Hadley circulation that very 301
quickly overpowers the local tropical processes driven by the slanted coastline (Figure 6.f). 302
The Hadley circulation asymmetry anchors the ITCZ in the SH in the first decade of model 303
integration (Figure 6.i). 304
305
Figure 7 shows the time evolution of tropical adjustment in Exp I.nh, Exp I.bl and Exp I.sh. 306
The long time scales involved are uncharacteristic for the tropical coupled ocean-‐307
atmosphere and follow the asymmetry in global circulation driven by the deep MOC 308
evolution (Figure 6). The equilibrium state with southward “C shaped” mean wind stress in 309
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deep tropics, SH maximum tropical SST, and SH maximum precipitation occurs at 310
substantially different times in each these simulation. The overturning streamfunction in 311
the atmosphere and ocean from the last 100 years of Exp I.nh, Exp I.bl and Exp I.sh (not 312
shown) all match the equilibrium state of Exp I.zu shown in Figure 5. Overall, the time 313
evolution of all Exp I simulations shows that the deep MOC asymmetry forces southward 314
OHT(y=0), southward anomalous surface moisture transport by the Hadley circulation, and 315
the maximum of tropical precipitation in the SH in equilibrium state regardless of which IC 316
were used. 317
318
3.2 Experiment with eastward slanted tropical coastlines 319
320
As compared to the Exp I. simulations, the Exp II.bl simulation uses equatorially mirrored 321
ocean-‐land geometry. Exp II.bl’s oceanic IC are aligned with respect to the western 322
boundary of the ocean basin but are otherwise the same as those used in the Exp I.bl 323
simulation. With this simulation, we additionally verify if the hemispheric asymmetry 324
discussed in the previous section consistently switches sign with the reversed coastlines. 325
326
With this additional ocean-‐land configuration, the mean surface conditions in the first 20 327
years show more tropical precipitation in the SH than in the NH (shading in Figure 8.a): the 328
greater SH precipitation in this transient state is due to anomalous northerly equatorial 329
surface wind on the eastern side of the ocean basin. WES feedback is initiated by the 330
eastern tropical coastline, but in this simulation it is slanted eastward with increasing 331
latitude, the opposite direction from all the Exp I simulations. On the eastern side of the 332
basin in Exp II.bl, ocean-‐land geometry induces an anomalous interhemispheric surface 333
pressure gradient due to anomalous interhemispheric surface temperature differences. In 334
this case higher surface pressure over the colder ocean in the NH tropics and lower surface 335
pressure over the warmer land in the SH tropics around 90°E forces northerly cross-‐336
equatorial surface wind there. This anomalous wind obtains easterly (westerly) component 337
north (south) of the equator due to the Coriolis force leading to westward increase 338
(decrease) of the trade winds. This wind speed increase (decrease) causes further 339
intensification (reduction) of evaporative cooling, which, in turn, further decreases 340
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(increases) the surface temperature to the north (south) of the equator. This cross-‐341
equatorial pattern amplifies the initial surface temperature perturbation on the eastern 342
side of the basin. The WES-‐feedback propagates this surface temperature anomaly 343
westward, which decreases (increases) convective activity and precipitation over the ocean 344
basin in the NH (SH) tropics. In our model, the westward propagation of the WES feedback 345
decays about 30° west from the eastern boundary (Figures 8.a and 3.a): the WES-‐induced 346
cross-‐equatorial dipole anomalies also propagate equatorward in the region of background 347
easterly wind (Xie 2004) so they dissipate when they reach the equator. 348
349
In Exp II.bl, the anomalies of tropical wind stress (Figure 8.b, vectors), SST (shading) and 350
precipitation (contours) are not predominantly controlled by local processes on long time 351
scales. After about 100 years, these anomalies reverse sign, placing the maximum of 352
precipitation in the NH. After Exp II.bl reaches equilibrium around year 400, the average 353
surface tropical conditions along the eastern edge of the basin still show evidence of the 354
WES feedback. However, the maximum of tropical precipitation across the ocean basin is in 355
the NH: anomalous southerly surface winds across the equator occur throughout most of 356
the ocean basin, pushing precipitation northward. This anomalous surface structure and its 357
time evolution in the tropics reflect the dominance of the anomalous cross-‐equatorial 358
Hadley circulation over the ocean. This coupled circulation’s asymmetry about the equator 359
is induced by the MOC asymmetry, just as in the Exp I simulations. 360
361
In Exp II.bl the main source of multidecadal changes again is driven by the evolution of the 362
deep MOC (Figure 9.a). This ICCM experiment is initialized from dynamically quasi-‐363
balanced oceanic IC; as a result, the MOC avoids erratic behavior at the beginning of the 364
simulation. The dominance of deep-‐water production in the NH over the SH is established 365
before the end of first century. OHT(y=0) (Figure 9.b, red curve) and the Hadley circulation 366
asymmetry index (blue curve) show less correlation in the first 50 years because the deep 367
MOC asymmetry has not chosen a dominant hemisphere yet. As a result, tropical ocean-‐368
atmosphere processes exert the dominant control over the Hadley cells during the first 50 369
years (also evident in Figure 8.b). Afterwards, however, an anomalous Hadley circulation 370
develops with its lower branch transporting moisture into the NH. Furthermore, Figure 9.c 371
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again shows co-‐evolution of the interhemispheric differences of tropical SST (blue curve) 372
and precipitation (red curve) on long time scales. 373
374
Exp II.bl reaches a stable equilibrium climate after about 300 years. Figure 10.b shows the 375
801-‐1000 year average of the hemispherically asymmetric MOC streamfunction. This 376
asymmetric streamfunction is mirrored across the equator from the Exp I simulations 377
shown in Figure 5.b for Exp I.zu. The direction of the MOC controls the hemispheric 378
asymmetry of the coupled global circulation and energetics on long time scales in our 379
model. The deep MOC determines the direction and the amplitude of the anomalous Hadley 380
and Ferrel cell shown in Figure 10.a. The ascending branch of the anomalous Hadley cell 381
and the maximum of tropical precipitation is anchored in the NH, which has the dominant 382
source of deep water. 383
384
4. Conclusions and future directions 385
386
Five numerical experiments with the ICCM model, an idealized coupled GCM with 387
simplified atmospheric physics and comprehensive ocean physics, are presented here to 388
examine the competition of local effects of tropical coastlines and global coupled 389
overturning circulation on tropical circulation and precipitation. These simulations show 390
that slanted tropical coastlines affect tropical precipitation via the WES feedback near the 391
eastern coast of the basin through the entire integration of all simulations. However, this 392
local coupled ocean-‐atmosphere process determines the position of ITCZ only if the ocean’s 393
deep MOC does not develop a significant interhemispheric asymmetry with an opposing 394
effect. Once the asymmetry of ocean circulation places the main source of deep-‐water 395
production in one hemisphere, then the whole climate follows that asymmetry. The 396
hemisphere with the prevailing deep-‐water production also contains greater tropical 397
precipitation, irrespective of the local forcing of slanted tropical coastline on the eastern 398
side of the ocean basin. 399
400
In all numerical experiments, during both the transient evolution and in steady states, the 401
deep MOC asymmetry (measured by our index as the maximum NH MOC streamfunction -‐ 402
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minimum SH MOC streamfunction) is a useful linear predictor of the cross-‐equatorial OHT 403
(Figure 11.a) and the interhemispheric asymmetry of the extratropical surface heat flux 404
(Figure 11.b). The ocean basin geometry forces the dominant deep-‐water production in the 405
hemisphere with less tropical land on the eastern side of the basin. The MOC that develops 406
with greater deep water production in one hemisphere causes OHT(y=0) into this same 407
hemisphere. The hemisphere heated by the ocean circulation is warmed due to greater 408
extratropical heat release from the ocean to the atmosphere, as compared to the opposite 409
hemisphere. The hemisphere that is relatively warmed (cooled) by the OHT develops a 410
weaker (stronger) meridional surface temperature gradient between the tropics and 411
extratropics. This weaker (stronger) temperature gradient, in turn, weakens (strengthens) 412
the Hadley and Ferrel cells in that hemisphere. This change in the global atmospheric 413
overturning circulation (Figure 11.c) is manifested in the tropics as anomalous cross-‐414
equatorial Hadley cell that transports moisture (heat) by its lower (upper) branch toward 415
the direction of warmer (colder) hemisphere. The cross-‐equatorial flow of warm and moist 416
air over the most of the ocean basin anchors the ascending branch of the Hadley circulation 417
and the maximum of tropical precipitation in the hemisphere with the main deep-‐water 418
source (Figure 11.d). 419
420
On Earth, the continents in all ocean basins have much more of a westward tilt than an 421
eastward tilt. Our idealized modeling results suggest that this tropical effect on its own 422
would cause the ITCZ to be located in the NH as in observations only if there is no 423
significant interhemispheric asymmetry between extratropics in coupled general 424
circulation, but such global asymmetry is clearly evident in the present climate (Liu and 425
Alexander, 2007). We suggest that the key ingredient from these experiments is the same 426
as that identified by Fučkar et al (2013) and Frierson et al (2013), the oceanic MOC. 427
Specifically, in the Fučkar et al (2013) study, we showed in this same model that opening a 428
Drake passage-‐like channel in the SH is sufficient to force anchoring the deep water 429
production of the MOC in the NH, and shift the ITCZ northward. We consider this study to 430
be strong additional evidence that whatever causes the MOC to transport heat northward 431
across the equator in the ocean also causes the ITCZ to be in the NH. 432
433
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Our use of an idealized model with an intermediate level of complexity, while useful for 434
ease of interpretation, also means that there are caveats with this work that should be 435
tested in follow-‐up studies with models of increasing levels of complexity. For example, 436
would the deep MOC asymmetry still determine the main position of the ITCZ with more 437
comprehensive model physics (e.g. clouds), model geometry (e.g., higher resolution, 438
mountains and more realistic ocean-‐land configuration) and SW forcing (e.g. seasonal and 439
diurnal solar variation). This gray atmosphere shares much code with its cousin, the 440
comprehensive GFDL AM2 model; the tropical circulation in this gray atmosphere responds 441
with weaker magnitude than AM2, but both respond to various forcings with the same 442
interhemispheric asymmetry (Kang et al. 2008, 2009, Seo et al. 2014, Maroon et al. in 443
press); we anticipate that the inclusion of more comprehensive atmospheric physics would 444
amplify the hemispheric response that we see in this study. Furthermore, orography, 445
especially the Andes mountain range, has a known effect on the ITCZ location in the eastern 446
tropical Pacific with local WES and stratus cloud feedbacks involved (Takahashi and 447
Battisti, 2007, Maroon et al. 2015). Local tropical processes induced by the Andes and 448
other mountain ranges should be also fully tested as well in coupled climate models. While 449
our ICCM model lacks comprehensive atmospheric physics and real-‐world topography and 450
bathymetry, it does include a comprehensive ocean model; as such, ICCM, alongside more 451
complex coupled models, is a useful tool for improving the understanding of tropical-‐452
extratropical coupled dynamics. Examining the interaction of the MOC with tropical climate 453
at different time scales would benefit our understanding from seasonal climate to 454
paleoclimate dynamics. Overall, the development of an encompassing global theory of 455
tropical circulation and precipitation would benefit climate predictions and projections. 456
457
Acknowledgments 458
459
The authors thank Shang-‐Ping Xie, LuAnne Thompson, Cecilia Bitz, David Battisti, and 460
Xiaojuan Liu for valuable discussions. D.M.W.F was supported by NSF grants AGS-‐1359464, 461
PLR-‐1341497, and a UW Royalty Research Fund award. E.A.M. was supported by a NDSEG 462
fellowship and an NSF IGERT Program on Ocean Change traineeship. 463
464
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References 465
466
Antonov, J. I., D. Seidov, T. P. Boyer, R. A. Locarnini, A. V. Mishonov, H. E. Garcia, O. K. 467 Baranova, M. M. Zweng, and D. R. Johnson, 2010: World Ocean Atlas 2009, Volume 2: 468 Salinity. S. Levitus, Ed. NOAA Atlas NESDIS 69, U.S. Government Printing Office, 469 Washington, D.C., 184 pp. 470 471 Betts, A. K., 1986: A new convective adjustment scheme. Part I: Observational and 472 theoretical basis. Quart. J. Roy. Meteor. Soc., 112, 677–692. 473 474 Broecker, W. S., D. M. Peteet, and D. Rind, 1985: Does the ocean-‐atmosphere system have 475 more than one stable mode of operation? Nature, 315, 21–26. 476 477 Broecker, W. S. 2007: Musings about the connection between thermohaline circulation and 478 climate—Past and Future Changes of Meridional Overturning, Geophys. Monogr., Vol. 173, 479 Amer. Geophys. Union, 265–278 480 481 Chang, P., and Coauthors, 2006: Climate fluctuations of tropical coupled system—The role 482 of ocean dynamics. J. Climate, 19, 5122–5174. 483 484 Cheng, W., C. M. Bitz, and J. C. H. Chiang, 2007: Adjustment of the global climate to an abrupt 485 slowdown of the Atlantic meridional overturning circulation. Ocean Circulation: 486 Mechanisms and Impacts—Past and Future Changes of Meridional Overturning, Geophys. 487 Monogr., Vol. 173, Amer. Geophys. Union, 295–313 488 489 Chiang, J. C. H., 2009: The Tropics in Paleoclimate. Annual Review of Earth and Planetary 490 Sciences, pp 263-‐297, v37, 10.1146/annurev.earth.031208.100217 491 492 Dansgaard, W., and Coauthors, 1993: Evidence for general instability of past climate from a 493 250-‐kyr ice-‐core record. Nature, 364, 218–220. 494 495 Delworth, T. L., and Coauthors, 2006: GFDL’s CM2 global coupled climate models. Part I: 496 Formulation and simulation characteristics. J. Climate, 19, 643–674. 497 498 Dima, I. M., and J. M. Wallace, 2003: On the seasonality of the Hadley cell. J. Atmos. Sci., 60, 499 1522–1527. 500 501 Drijfhout, S. S., 2010: The atmospheric response of a THC collapse: Scaling relations for the 502 Hadley circulation and the nonlinear response in a coupled climate model. J. Climate, 23, 503 757–774. 504
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505 Farneti, R., and G. K. Vallis, 2009: An Intermediate Complexity Climate Model (ICCMp1) 506 based on the GFDL flexible modeling system. Geosci. Model Dev., 2, 73–88. 507 508 Frierson, D. M. W., I. M. Held, and P. Zurita-‐Gotor, 2006: A gray-‐radiation aquaplanet moist 509 GCM. Part I: Static stability and eddy scales. J. Atmos. Sci., 63, 2548–2566. 510 511 Frierson, D. M. W., 2007: The dynamics of idealized convection schemes and their effect on 512 the zonally averaged tropical circulation. J. Atmos. Sci., 64, 1959–1976. 513 514 Frierson, D. M. W. et al., 2013: Contribution of ocean overturning circulation to tropical 515 rainfall peak in the northern hemisphere. Nature Geosci. 6, 940–944. 516 517 Fučkar, N. S., S.-‐P. Xie, R. Farneti, E. A. Maroon, and D. M. W. Frierson, 2013: Influence of the 518 extratropical ocean circulation on the intertropical convergence zone in an idealized 519 coupled general circulation model. J. Climate, 26, 4612–4629, doi:10.1175/JCLI-‐D-‐12-‐520 00294.1. 521 522 Gent, P., and J. McWilliams, 1990: Isopycnal mixing in ocean circulation models. J. Phys. 523 Oceanogr., 20, 150–155. 524 525 GFDL Global Atmospheric Model Development Team, 2004: The new GFDL Global 526 Atmosphere and Land Model AM2–LM2: Evaluation with prescribed SST simulations. 527 J. Climate, 17, 4641–4673. 528 529 Griffies, S. M., 1998: The Gent–McWilliams skew flux. J. Phys. Oceanogr., 28, 831–841. 530 531 Griffies, S. M., M. J. Harrison, R. C. Pacanowski, and A. Rosati, 2004: A technical guide to 532 MOM4. GFDL Ocean Group Tech. Rep. 5, 342 pp. 533 534 Grootes, P. M., and M. Stuiver, 1997: Oxygen 18/16 variability in Greenland snow and ice 535 with 10^3-‐ to10^5-‐year time resolution. J. Geophys. Res., 102, 26 455–26 470. 536 537 Held, I.M., 2005: The gap between simulation and understanding in climate modeling. Bull. 538 Amer. Meteor. Soc., 86, 1609–1614. 539 540
Huffman, G. J., Adler, R. F., Bolvin, D. T. & Gu, G, 2009: Improving the global precipitation 541 record: GPCP Version 2.1. Geophys. Res. Lett. 36, L17808 542
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Kang, S. M., I. M. Held, D. M. W. Frierson, and M. Zhao, 2008: The response of the ITCZ to 543 extratropical thermal forcing: Idealized slab-‐ocean experiments with AGCM. J. Climate, 21, 544 3521–3532. 545 546 Kang, S.M., D. M. W. Frierson, and I. M. Held, 2009: The Tropical Response to Extratropical 547 Thermal Forcing in an Idealized GCM: The Importance of Radiative Feedbacks and 548 Convective Parameterization. J. Atmos. Sci., 66, 2812-‐2827. 549 550 Kang, S. M., I. M. Held, and S.-‐P. Xie, 2014: Contrasting the Tropical Responses to Zonally 551 Asymmetric Extratropical and Tropical Thermal Forcing, Clim. Dyn. 42, 2033-‐2043. 552 553 Koutavas, A., and J. Lynch-‐Stieglitz, 2004: Variability of the marine ITCZ over the eastern 554 Pacific during the past 30,000 years: Regional perspective and global context. The Hadley 555 Circulation: Present, Past and Future, H. F. Diaz and R. S. Bradley, Eds., Springer, 347–369 556 557 Liu, Z., and M. Alexander (2007), Atmospheric bridge, oceanic tunnel, and global climatic 558 teleconnections, Rev. Geophys., 45, RG2005, doi:10.1029/2005RG000172. 559 560 Locarnini, R. A., A. V. Mishonov, J. I. Antonov, T. P. Boyer, H. E. Garcia, O. K. Baranova, M. M. 561 Zweng, and D. R. Johnson, 2010: World Ocean Atlas 2009, Volume 1: Temperature. S. 562 Levitus, Ed. NOAA Atlas NESDIS 68, U.S. Government Printing Office, Washington, D.C., 184 563 pp. 564 565 Manabe, S., and R. J. Stouffer, 1995: Simulation of abrupt climate change induced by 566 freshwater input to the North Atlantic Ocean. Nature, 378, 165–167. 567 568 Maroon, E. A., D. M. W. Frierson, D. S. Battisti, 2015: The Tropical Precipitation Response to 569 Andes Topography and Ocean Heat Fluxes in an Aquaplanet Model. J. Climate 28:1, 381-‐570 398. 571 572 Maroon, E. A., D. M. W. Frierson, S. M. Kang, and J. Scheff, (in press): The precipitation 573 response to an idealized subtropical continent. J. Climate, http://dx.doi.org/10.1175/JCLI-‐574 D-‐15-‐0616.1 575 576 Marshall, J., Donohoe, A., Ferreira, D. and McGee, D, 2013: The role of the ocean circulation 577 in setting the mean position of the ITCZ. Clim. Dyn. http://dx.doi.org/10.1007/s00382-‐578 013-‐1767-‐z 579 580 Peterson, L. C., G. H. Haug, K. A. Hughen, and U. Rohl, 2000: Rapid changes in the hydrologic 581 cycle of the tropical Atlantic during the last glacial. Science, 290, 1947–1951. 582 583
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Philander, S. G. H., D. Gu, G. Lambert, T. Li, D. Halpern, N.-‐C. Lau, and R. C. Pacanowski, 1996: 584 Why the ITCZ is mostly north of the equator. J. Climate, 9, 2958–2972. 585 586 Sarachik, E.S., and M.A. Cane, 2010: The El Niño-‐Southern Oscillation Phenomenon, 587 Cambridge University Press, 513, 45, 384 pp 588 589 Schneider, T., T. Bischoff, and G.H. Haug, 2014: Migrations and dynamics of the intertropical 590 convergence zone. Nature, doi:10.1038/nature13636 591 592 Seo, J., S. M. Kang, D. M. W. Frierson, 2014: Sensitivity of Intertropical Convergence Zone 593 Movement to the Latitudinal Position of Thermal Forcing. J. Climate 27:8, 3035-‐3042. 594 595 Sijp, W. P., and M. H. England, 2004: Effect of the Drake Passage throughflow on global 596 climate. J. Phys. Oceanogr., 34, 1254–1266. 597 598 Takahashi, K., and D. S. Battisti, 2007: Processes Controlling the Mean Tropical Pacific 599 Precipitation Pattern. Part I: The Andes and the Eastern Pacific ITCZ. J. Climate, 20:14, 600 3434-‐3451 601 602 Toggweiler, J. R., and H. Bjornsson, 2000: Drake Passage and paleoclimate. J. Quat. Sci., 15, 603 319–328. 604 605 Vallis, G.K., and R. Farneti, 2009: Meridional energy transport in the coupled atmosphere–606 ocean system: Scaling and numerical experiments. Quart. J. Roy. Meteor. Soc., 135, 1643–607 1660. 608 609 Vellinga, M., and R.A. Wood, 2002: Global climatic impacts of a collapse of the Atlantic 610 thermohaline circulation. Climatic Change, 54, 3, 251-‐267, doi:10.1023/A:1016168827653 611 612 Waliser, D. E., and C.A. Gautier, 1993: A satellite-‐derived climatology of the ITCZ. J. Clim. 6, 613 2162–2174. 614 615 Webster, P. J., 2004: The elementary Hadley circulation. The Hadley Circulation: Present, 616 Past and Future, H. F. Diaz and R. S. Bradley, Eds., Springer, 9–60. 617 Winton, M., 2000: A reformulated three-‐layer sea ice model. J. Atmos. Oceanic Technol., 17, 618 525–531. 619 620 Xie, S.-‐P. and S.G.H. Philander, 1994: A coupled ocean-‐atmosphere model of relevance to the 621 ITCZ in the eastern Pacific. Tellus, 46A, 340-‐350. 622 623
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Xie, S.-‐P., 2004: The shape of continents, air-‐sea interaction and the rising branch of the 624 Hadley circulation. The Hadley Circulation: Present, Past and Future, H. F. Diaz and R. S. 625 Bradley, Eds., Springer, 121–152. 626 627 Xie, P., and P.A. Arkin, 1997: Global precipitation: A 17-‐year monthly analysis based on 628 gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. 629 Soc., 78, 2539 -‐ 2558. 630 631 Zhang, R., and T. L. Delworth, 2005: Simulated tropical response to a substantial weakening 632 of the Atlantic thermohaline circulation. J. Climate, 18, 1853–1860. 633 634
635
636
637
638
639 Figure 1. The 1981-‐2010 averaged precipitation based on monthly NOAA CPC Merged 640
Analysis of Precipitation (CMAP) in which rain gauge data are merged with precipitation 641
estimates from multiple satellite-‐based (infrared and microwave) products. 642
643
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644 Figure 2. Schematic outline of 60°-‐wide closed-‐ocean basins with (a) westward and (b) 645
eastward slanted tropical coastlines (equatorward of 14° latitude), under a 120°-‐wide 646
sector atmosphere. 647
648
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649 Figure 3. Results of the Exp I.zu simulation: (a) and (c) show average tropical precipitation 650
(shading) overlaid with anomalous surface wind vectors (with respect to an equatorially 651
symmetric zonal component and an antisymmetric meridional component) between years 652
1 and 20, and between years 381 and 400, respectively. Vectors outside of the deep tropics 653
with anomalous wind speed above 2 m/s are removed for easier visualization. Blue lines 654
mark the ocean basin boundaries. (b) Time-‐latitude diagram from year 1 to 400 showing 655
annual zonal means of hemispherically anomalous SST (shading), anomalous precipitation 656
(blue/red = positive/negative contours) and anomalous surface wind stress vectors. 657
Anomalous precipitation was filtered with a low-‐pass Butterworth filter with a 40-‐year 658
period cutoff. 659
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660
661 Figure 4. Results of Exp I.zu simulation: (a) Maximum and absolute minimum of the NH 662
(red curve) and the SH (blue curve) annual mean deep MOC overturning stream function 663
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(below 200m poleward of 20° latitude), respectively. (b) Ocean heat transport across the 664
equator (red curve) and the Hadley circulation asymmetry index (blue curve) defined as -‐665
(minimum streamfunction value of the SH Hadley cell + maximum streamfunction value of 666
the NH Hadley cell). (c) Tropical precipitation (red curve) and SST (blue curve) asymmetry 667
indices (average between 20°N and the equator minus average between the equator and 668
20°S). Quantities in panels (b) and (c) are annual means smoothed by a 15-‐year boxcar 669
filter. 670
671
672 Figure 5. The average of Exp I.zu simulation between year 801 and 1000 of (a) anomalous 673
atmospheric overturning streamfunction (with respect to the hemispherically 674
antisymmetric component), and (b) MOC streamfunction. Positive values of streamfunction 675
indicate a clockwise circulation. 676
677
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678 Figure 6. Annual mean results of Exp I.nh, Exp I.bl and Exp I.sh simulations in left, middle 679
and right columns, respectively. The top row shows maximum and absolute minimum of 680
the NH (red curve) and the SH (blue curve) deep MOC streamfunction, respectively. The 681
middle row shows ocean heat transport across the equator (red curve) and Hadley 682
circulation asymmetry index (blue curve). The bottom row shows tropical precipitation 683
(red curve) and SST (blue curve) asymmetry indices. Panels in the middle and bottom rows 684
show annual means smoothed by a 15-‐year boxcar filter. 685
686
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687 Figure 7. Results of Exp I.nh, Exp I.bl and Exp I.sh simulations in top, middle and bottom 688
rows, respectively. Time-‐latitude diagrams from year 1 to 400 showing annual zonal means 689
of anomalous SST (fill), anomalous precipitation (blue/red = positive/negative contours) 690
and anomalous surface wind stress vectors, as in Figure 3b. 691
692
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693 Figure 8. Figure 3. Results of Exp II.bl simulation: The quantities in this figure are the same 694
as in Figure 3. 695
696
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697 Figure 9. Results of Exp II.bl simulation after 15-‐year box smoothing of annual means: The 698
quantities in this figure are the same as in Figure 4. 699
700
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701 Figure 10. The average of Exp II.bl simulation between year 801 and 1000 of (a) anomalous 702
atmospheric overturning streamfunction (with respect to the antisymmetric component) 703
and (b) MOC streamfunction. Positive values of streamfunctions show clockwise 704
circulation. 705
706
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707 Figure 11. 5-‐year mean results from full integration periods of all simulations in this study 708
as functions of the deep MOC asymmetry index (sum of the subpolar deep MOC 709
streamfunction extrema in both hemispheres). (a) Upper left panel show ocean heat 710
transport across the equator. (b) Upper right panel shows the average NH extratropical 711
surface heat flux minus average SH extratropical surface heat flux (with upward positive 712
direction). (c) Lower left panel shows the Hadley asymmetry index. (d) Lower right panel 713
shows the tropical precipitation asymmetry index. 714
715
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CPC merged analysis of precipitation (CMAP) 〈Jan 1981 - Dec 2010〉
[mm/day]
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Equator
3900m
y
x
3900m
60o60o
Exp I.zu
Exp I.nh, I.bl and I.sh
Exp II.bl
(a) (b)
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[yr]SSTa [°C]
(a)
(b)
(c)
Exp I.zu 〈1-20 〉 yr
Exp I.zu 〈381-400 〉 yr P [mm/day]
P [mm/day]
Exp I.zu
m/s
m/s
(usfc, vsfc)a
(usfc, vsfc)a
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(1010
kgs-1
)
NH deepMOC SH |deepMOC|
(a)
(b)
(c)
[yr]
[yr]
[yr]
Exp I.zu
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(a)
(b)
AAO
str
eam
func
tion
(1010
kgs
-1)
MO
C st
ream
func
tion
(Sv)
Exp I.zu
(m)
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NH deepMOC
SH |deepMOC|
NH deepMOC NH deepMOC
SH |deepMOC| SH |deepMOC|
(d) (e) (f )
(g) (h) (i)
(a) (b) (c)
[yr] [yr]
[yr] [yr]
[yr]
[yr]
[yr][yr][yr]
Exp I.nh Exp I.bl Exp I.sh
(1010
kgs-1
)
(1010
kgs-1
)
(1010
kgs-1
)
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(a)
(b)
(c)
SSTa [°C]
Exp I.sh
Exp I.bl
Exp I.nh
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Manuscripts submitted to Dynamics and Statistics of the Climate System: An Interdisciplinary Journal
For Review O
nlyExp II.bl
(b)
SSTa [°C][yr]
(c)
(a)
Exp II.bl 〈1-20 〉 yr
Exp II.bl 〈381-400 〉 yr
P [mm/day]
P [mm/day]
m/s(usfc, vsfc)a
m/s(usfc, vsfc)a
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Manuscripts submitted to Dynamics and Statistics of the Climate System: An Interdisciplinary Journal
For Review
Only
NH deepMOC SH |deepMOC|
(a)
(b)
(c)
[yr]
[yr]
[yr]
Exp II.bl
(1010
kgs-1
)
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Manuscripts submitted to Dynamics and Statistics of the Climate System: An Interdisciplinary Journal
For Review Only
(a)
(b)
AAO
str
eam
func
tion
(1010
kgs
-1)
MO
C st
ream
func
tion
(Sv)
Exp II.bl
(m)
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Manuscripts submitted to Dynamics and Statistics of the Climate System: An Interdisciplinary Journal
For Review Only
Exp I.zuExp I.nhExp I.blExp I.shExp II.bl
Exp I.zuExp I.nhExp I.blExp I.shExp II.bl
deep MOC asymmetry index (Sv) deep MOC asymmetry index (Sv)
deep MOC asymmetry index (Sv) deep MOC asymmetry index (Sv)
(1010
kgs
-1)
(a) (b)
(c)
(d)
trop
. Pex
trat
rop.
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Manuscripts submitted to Dynamics and Statistics of the Climate System: An Interdisciplinary Journal