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Supplement of Earth Syst. Dynam., 9, 1217–1234, 2018https://doi.org/10.5194/esd-9-1217-2018-supplement© Author(s) 2018. This work is distributed underthe Creative Commons Attribution 4.0 License.
Supplement of
A theoretical approach to assess soil moisture–climate coupling acrossCMIP5 and GLACE-CMIP5 experimentsClemens Schwingshackl et al.
Correspondence to: Clemens Schwingshackl ([email protected])
The copyright of individual parts of the supplement might differ from the CC BY 4.0 License.
Tabl
eS1
.Ove
rvie
wof
the
20C
MIP
5m
odel
san
dth
efo
urG
LA
CE
-CM
IP5
mod
els
that
are
used
for
the
anal
yses
.A
dditi
onal
ly,
the
resp
ectiv
em
odel
ing
cen-
ters
/gro
ups
that
cont
ribu
ted
the
sim
ulat
ions
are
indi
cate
d.
N◦
Mod
elna
me
Mod
elin
gce
nter
(org
roup
)
CM
IP5
1B
CC
-CSM
1.1
Bei
jing
Clim
ate
Cen
ter,
Chi
naM
eteo
rolo
gica
lAdm
inis
trat
ion
2B
NU
-ESM
Col
lege
ofG
loba
lCha
nge
and
Ear
thSy
stem
Scie
nce,
Bei
jing
Nor
mal
Uni
vers
ity3
Can
ESM
2C
anad
ian
Cen
tre
forC
limat
eM
odel
ling
and
Ana
lysi
s4
CM
CC
-CM
Cen
tro
Eur
o-M
edite
rran
eope
rIC
ambi
amen
tiC
limat
ici
5C
MC
C-C
MS
Cen
tro
Eur
o-M
edite
rran
eope
rIC
ambi
amen
tiC
limat
ici
6C
NR
M-C
M5
Cen
tre
Nat
iona
lde
Rec
herc
hes
Mét
éoro
logi
ques
/Cen
tre
Eur
opée
nde
Rec
herc
heet
Form
atio
nA
vanc
éeen
Cal
culS
cien
tifiqu
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CSI
RO
-Mk3
.6.0
Com
mon
wea
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ient
ific
and
Indu
stri
alR
esea
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Org
aniz
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bora
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with
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ensl
and
Clim
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AL
S-g2
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nstit
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uid
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phys
ical
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ynam
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Lab
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ory
11G
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ysic
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uid
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athe
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Age
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nce
and
Tech
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gy,A
tmos
pher
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hIn
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te(T
heU
nive
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ofTo
kyo)
,and
Nat
iona
lIns
titut
efo
rEnv
iron
men
talS
tudi
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OC
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nA
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ienc
ean
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chno
logy
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and
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tfür
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logi
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axPl
anck
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itute
forM
eteo
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gy)
17M
PI-E
SM-L
RM
ax-P
lanc
k-In
stitu
tfür
Met
eoro
logi
e(M
axPl
anck
Inst
itute
forM
eteo
rolo
gy)
18M
RI-
CG
CM
3M
eteo
rolo
gica
lRes
earc
hIn
stitu
te19
MR
I-E
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Met
eoro
logi
calR
esea
rch
Inst
itute
20N
orE
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MN
orw
egia
nC
limat
eC
entr
e
GL
AC
E-C
MIP
5a
1A
CC
ESS
Com
mon
wea
lthSc
ient
ific
and
Indu
stri
alR
esea
rch
Org
aniz
atio
n(C
SIR
O)a
ndB
urea
uof
Met
eoro
logy
(BO
M),
Aus
tral
ia2
EC
-EA
RT
HE
C-E
AR
TH
cons
ortiu
m3
GFD
LN
OA
AG
eoph
ysic
alFl
uid
Dyn
amic
sL
abor
ator
y4
MPI
-ESM
-LR
Max
-Pla
nck-
Inst
itutf
ürM
eteo
rolo
gie
(Max
Plan
ckIn
stitu
tefo
rMet
eoro
logy
)
a Onl
yfo
rA
CC
ESS
,EC
-EA
RT
H,G
FDL
,and
MPI
-ESM
-LR
alln
eces
sary
data
for
cond
uctin
gth
ean
alys
esw
ere
avai
labl
e.Fo
rIP
SLda
ilyso
ilm
oist
ure
and
daily
netr
adia
tion
ism
issi
ngfo
rall
3ex
peri
men
ts(C
TL
,Clim
20C
,Clim
CT
L),
forC
ESM
daily
soil
moi
stur
eis
mis
sing
fora
ll3
expe
rim
ents
and
daily
late
ntan
dse
nsib
lehe
atflu
xes
are
mis
sing
forC
TL
).
1
Figure S1. Example of soil moisture evolution in the GLACE-CMIP5 control run (θCTL) and the run with transient soil moisture climatology(θClimCTL) in EC-EARTH at a grid point close to Jerusalem.
2
Figure S2. Number of CMIP5 models that are considered at each grid cell. For each model, grid cells at which the monthly mean ofthe reconstructed daily soil moisture values does not agree with the monthly mean soil moisture from the CMIP5 standard output are notconsidered in the analysis according to the following criteria: Soil moisture data are masked at grid cells where the correlation between bothmonthly soil moisture estimates is lower than 0.99 and where the root mean squared error is smaller than 10 % of the standard deviation ofthe monthly CMIP5 soil moisture values (see Section 3.1.2 for more details).
3
Figure S3. Global shares of the different soil moisture regimes in CMIP5 (box and whisker plots) and GLACE-CMIP5 (colored markers)for the time periods 1970–1999 (using historical simulations) and 2070–2099 (using RCP8.5 simulations).
4
Figure S4. Difference in soil moisture regime occurrence in GLACE-CMIP5 between the control run (CTL) and the run with prescribedtransient soil moisture climatology (ClimCTL) for the time period 2070–2099.
5
Figure S5. As in Figure 3 (central column) but using surface soil moisture instead of total column soil moisture. Only ACCESS, EC-EARTH,and GFDL are included here because MPI-ESM-LR does not provide surface soil moisture data. Note the different colorbar limits in (a) and(b) compared to Figure 3.
6