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Introduction Data and Methods Results Conclusion
New insights of the Northern Currentin the Western Mediterranean Sea from Gliders data:Mean structure, Transport, and Seasonal Variability
A. Bosse(1), P. Testor(1), L. Mortier(2), L. Beguery(3), K. Bernardet(3), V. Taillandier(4),
F. d'Ortenzio(4), Louis Prieur(4), L. Coppola(4), and F. Bourrin(5)
(1) CNRS-Université Pierre et Marie Curie, LOCEAN/IPSL, Paris, France,(2) École National Supérieure des Techniques Avancées, Paris, France,
(3) CNRS-DT INSU, La Seyne sur Mer, France,(4) CNRS-Université Pierre et Marie Curie, LOV, Villefranche-sur-mer, France,
(5) CNRS-Université de Perpignan, CEFREM, Perpignan, France
EGU General Assembly � April 10th, 2013
Introduction Data and Methods Results Conclusion
Introduction Data and Methods Results Conclusion
Introduction Data and Methods Results Conclusion
Northwestern Mediterranean mean circulation
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Longitude
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ude
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m]
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Wes
t Cor
sica
Cur
rent
Northern Current
North Balearic front
Introduction Data and Methods Results Conclusion
Northwestern Mediterranean mean circulation
1 2 3 4 5 6 7 8 9 10
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Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
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m]
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Wes
t Cor
sica
Cur
rent
Northern Current
North Balearic front
shelf-sea exchange?
Introduction Data and Methods Results Conclusion
Northwestern Mediterranean mean circulation
1 2 3 4 5 6 7 8 9 10
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43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
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450
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550
x [km]
y[k
m]
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0
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Wes
t Cor
sica
Cur
rent
Northern Current
North Balearic front
shelf-sea exchange?
Introduction Data and Methods Results Conclusion
Northwestern Mediterranean mean circulation + Gliders Observations
1 2 3 4 5 6 7 8 9 10
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Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 650 700 7500
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x [km]
y[k
m]
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Wes
t Cor
sica
Cur
rent
Northern Current
North Balearic front
Glider: AutonomousUnderwater Vehicle(AUV), which sam-ples the ocean (downto 1000m) along asawtooth path andcan stay up severalmonths into thewater.
I a total of >30 000 pro�les (deep to 1000m) within the basin;
I collected in the framework of European (MERSEA, PERSEUS, GROOM,TOSCA) and national projects (DOCONUG (UK), LIVINGSTONE (ANR, Fr),PABO (ANR, Fr), REI glider (DGA, France), IMEDIA (Fr), MOOSE - NW MedObservatory, INSU, Fr since 2010)
Introduction Data and Methods Results Conclusion
Gliders deployments since 2007 in the NW Med Sea: Space coverage
2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5
41.5
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43.5
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 6000
50
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x [km]
y[k
m]
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Interest of the gliders database
I a total of >30 000 pro�les (deep to 1000m) within the basin and highlyconcentrated along the Northern shelf;
I
Introduction Data and Methods Results Conclusion
Gliders deployments since 2007 in the NW Med Sea: Space coverage
2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5
41.5
42.5
43.5
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 6000
50
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x [km]
y[k
m]
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Northern Current path
Interest of the gliders database
I a total of >30 000 pro�les (deep to 1000m) within the basin and highlyconcentrated along the Northern shelf;
I Question: How can we use all these data to describe the NC?
Introduction Data and Methods Results Conclusion
Gliders deployments since 2007 in the NW Med Sea: Space coverage
2.5 3.5 4.5 5.5 6.5 7.5 8.5 9.5
41.5
42.5
43.5
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 6000
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x [km]
y[k
m]
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LION
DYFAMED
Section 1: 9516 profilesSection 2: 4022 profilesSection 3: 2623 profilesSection 4: 2399 profiles
43
2Northern Current path1
Interest of the gliders database
I 4 repeated sections with & 3000 pro�les down to 1000m;
I T/S intercalibration with 2 moorings (+ CTD, Argo, ...).
Introduction Data and Methods Results Conclusion
Gliders deployments since 2007 in the NW Med Sea: Time coverage20
1320
1220
1120
1020
0920
08
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2007
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LION
DYFAMED
Section 1: 9516 profilesSection 2: 4022 profilesSection 3: 2623 profilesSection 4: 2399 profiles
43
2Northern Current path1
EG
U 2
013!
Introduction Data and Methods Results Conclusion
Method used to compute the mean sections of the NC:
6.5 7.5 8.5
43
Longitude
Latit
ude
0 50 100 1500
50
100
x [km]
y[k
m] dive
Profiles
predefined section
glider path
data: T, S sections+dive-averagedvelocity
⇓shear + ref= absolutegeostrophicvelocity sections.
The methodology used is the following:
1 collect all the data (pro�les + velocity estimations) in 25km-width box aroundeach section (cf slide 1);
2 project the data by following the f/h contours;
3 bin the data along the section in 1km boxes, average the data (gaussian weightfunction of the distance to the section + removing of outliers);
4 �lter the high frequencies (cut-o� wavelength of 10km ' Rd).
Introduction Data and Methods Results Conclusion
Method used to compute the mean sections of the NC:
6.5 7.5 8.5
43
Longitude
Latit
ude
0 50 100 1500
50
100
x [km]
y[k
m] dive
Profiles
predefined section
glider path
data: T, S sections+dive-averagedvelocity
⇓shear + ref= absolutegeostrophicvelocity sections.
The methodology used is the following:
1 collect all the data (pro�les + velocity estimations) in 25km-width box aroundeach section (cf slide 1);
2 project the data by following the f/h contours;
3 bin the data along the section in 1km boxes, average the data (gaussian weightfunction of the distance to the section + removing of outliers);
4 �lter the high frequencies (cut-o� wavelength of 10km ' Rd).
Introduction Data and Methods Results Conclusion
Seasonal cycle illustrated by radial 1:
5
510203040
50
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
WinterTemperature [°C]Velocity contours [cm/s]
5510203040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
SummerTemperature [°C]Velocity contours [cm/s]
5
510203040
50
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
0
0.05
0.1
0.15
0.2
0.25
WinterStd deviation [°C]
Velocity contours [cm/s]
5510203040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
0
0.05
0.1
0.15
0.2
0.25
SummerStd deviation [°C]
Velocity contours [cm/s]
I Equivalent-barotropic structure with barotropic component up to 5cm/s in winter;I more con�ned to the continental slope and deeper surface currents in winter than
during the rest of the year ⇒
Enhancement of the mesoscale activity
.
Introduction Data and Methods Results Conclusion
Seasonal cycle illustrated by radial 1:
5
510203040
50
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
WinterTemperature [°C]Velocity contours [cm/s]
5510203040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
SummerTemperature [°C]Velocity contours [cm/s]
5
510203040
50
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
0
0.05
0.1
0.15
0.2
0.25
WinterStd deviation [°C]
Velocity contours [cm/s]
5510203040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
0
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
0
0.05
0.1
0.15
0.2
0.25
SummerStd deviation [°C]
Velocity contours [cm/s]
I Equivalent-barotropic structure with barotropic component up to 5cm/s in winter;I more con�ned to the continental slope and deeper surface currents in winter than
during the rest of the year ⇒ Enhancement of the mesoscale activity.
Introduction Data and Methods Results Conclusion
Evolution of the Transport (AW, LIW and total):
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofA
W[S
v]
Section 1Section 2Section 3Section 4
annual mean ~ 1.1Sv
AW transport (σ<29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofL
IWto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~0.5Sv
LIW transport (σ>29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
TotalTranspo
rtto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~ 1.6Sv
Total transport (AW+LIW)
I Strong seasonal signal: ± 30% of theannual mean transport;
I consistent for all sections and watermasses (maximum in winter,minimum in summer);
I mean transport of AW (1.1Sv) +LIW (0.5Sv) ' 1.6Sv (consistent withprevious estimate of Sammari 95);
I (complex bathy of the shelf in theGoL → method could be less robust).
Introduction Data and Methods Results Conclusion
Evolution of the Transport (AW, LIW and total):
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofA
W[S
v]
Section 1Section 2Section 3Section 4
annual mean ~ 1.1Sv
AW transport (σ<29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofL
IWto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~0.5Sv
LIW transport (σ>29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
TotalTranspo
rtto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~ 1.6Sv
Total transport (AW+LIW)
I Strong seasonal signal: ± 30% of theannual mean transport;
I consistent for all sections and watermasses (maximum in winter,minimum in summer);
I mean transport of AW (1.1Sv) +LIW (0.5Sv) ' 1.6Sv (consistent withprevious estimate of Sammari 95);
I (complex bathy of the shelf in theGoL → method could be less robust).
Introduction Data and Methods Results Conclusion
Evolution of the Transport (AW, LIW and total):
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofA
W[S
v]
Section 1Section 2Section 3Section 4
annual mean ~ 1.1Sv
AW transport (σ<29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofL
IWto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~0.5Sv
LIW transport (σ>29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
TotalTranspo
rtto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~ 1.6Sv
Total transport (AW+LIW)
I Strong seasonal signal: ± 30% of theannual mean transport;
I consistent for all sections and watermasses (maximum in winter,minimum in summer);
I mean transport of AW (1.1Sv) +LIW (0.5Sv) ' 1.6Sv (consistent withprevious estimate of Sammari 95);
I (complex bathy of the shelf in theGoL → method could be less robust).
Introduction Data and Methods Results Conclusion
Evolution of the Transport (AW, LIW and total):
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofA
W[S
v]
Section 1Section 2Section 3Section 4
annual mean ~ 1.1Sv
AW transport (σ<29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
Tran
spor
tofL
IWto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~0.5Sv
LIW transport (σ>29kg/m3)
Fall (OND) Winter (JFM) Spring (AMJ) Summer (JAS)0
0.5
1
1.5
2
2.5
3
Season
TotalTranspo
rtto
700m
[Sv]
Section 1Section 2Section 3Section 4
annual mean ~ 1.6Sv
Total transport (AW+LIW)
I Strong seasonal signal: ± 30% of theannual mean transport;
I consistent for all sections and watermasses (maximum in winter,minimum in summer);
I mean transport of AW (1.1Sv) +LIW (0.5Sv) ' 1.6Sv (consistent withprevious estimate of Sammari 95);
I (complex bathy of the shelf in theGoL → method could be less robust).
Introduction Data and Methods Results Conclusion
Annual Mean Temperature/Velocity along each section:
2
2
510203040
1000
900
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700
600
500
400
300
200
100
0P
ress
ure
[db]
251020304050
2
2
2
5
5
51020
3040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
2
2
2
5
5
51020
3040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
2
2
5
510
1020
30 30
0 20 40Distance from isobath 1000m [km]
Section 1 Section 2
Section 3 Section 4
Temperature of the LIW from East to West ↘
⇒ Heat Transport at mid-depths ↘through shelf-sea exchange.
Introduction Data and Methods Results Conclusion
Annual Mean Temperature/Velocity along each section:
2
2
510203040
1000
900
800
700
600
500
400
300
200
100
0P
ress
ure
[db]
251020304050
2
2
2
5
5
51020
3040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
2
2
2
5
5
51020
3040
−20 0 20 401000
900
800
700
600
500
400
300
200
100
Distance from isobath 1000m [km]
Pre
ssur
e[d
b]
13
13.2
13.4
13.6
13.8
14
14.2
2
2
5
510
1020
30 30
0 20 40Distance from isobath 1000m [km]
Section 1 Section 2
Section 3 Section 4
Temperature of the LIW from East to West ↘ ⇒ Heat Transport at mid-depths ↘through shelf-sea exchange.
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path
Winter (JFM) Spring (AMJ) Summer (JAS) Fall (OND)13.15
13.2
13.25
13.3
13.35
13.4
13.45
13.5
13.55
13.6
Season
TemperatureoftheLIW[degC]
Section 1Section 2Section 3Section 4
Mean temperature ofthe LIW within the NC
I TLIW ↘ from East to West foreach season ⇒ the LIW �ow islosing heat;
I TLIW ↘ in Winter as aconsequence of surface coolingand vertical mixing + mesoscaleactivity which drives lateralexchange;
I TLIW ↗ during the rest of theyear (maximum in Fall).
section i
section i+1
shelf-sea flux= ΦTi+1 - ΦTi ΦTi
=f(Ti,ULIW,S)
ΦTi+1=f(Ti+1,ULIW,S)
V = ULIW
V = ULIW
landsea
~0
Heat Transport: a simple model
We will assume that for each section:
I Ti = annual mean LIWtemperature at each section;
I ULIW = 2cm/s;
I S = 10km × 200m.
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
What do we learn from this heat budget?
I Shelf-sea heat �ux/km o� Toulon is 2.5 × greater than o� the GoL and 1.5 ×than in the Ligurian Sea
⇒ the corner shape of the coastline o� Toulon seems to be a major spot for theformation of eddies;
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
2.218 TW
2.209 TW2.199 TW
2.193 TW
What do we learn from this heat budget?
I Shelf-sea heat �ux/km o� Toulon is 2.5 × greater than o� the GoL and 1.5 ×than in the Ligurian Sea
⇒ the corner shape of the coastline o� Toulon seems to be a major spot for theformation of eddies;
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
326 W/m2
527 W/m2
207 W/m2
What do we learn from this heat budget?
I Shelf-sea heat �ux/km o� Toulon is 2.5 × greater than o� the GoL and 1.5 ×than in the Ligurian Sea
⇒ the corner shape of the coastline o� Toulon seems to be a major spot for theformation of eddies;
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
326 W/m2
527 W/m2
207 W/m2
Hot spot for Eddiesdetachment
What do we learn from this heat budget?
I Shelf-sea heat �ux/km o� Toulon is 2.5 × greater than o� the GoL and 1.5 ×than in the Ligurian Sea⇒ the corner shape of the coastline o� Toulon seems to be a major spot for theformation of eddies;
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
326 W/m2
527 W/m2
207 W/m2
Hot spot for Eddiesdetachment
What do we learn from this heat budget?
I Shelf-sea heat �ux/km o� Toulon is 2.5 × greater than o� the GoL and 1.5 ×than in the Ligurian Sea⇒ the corner shape of the coastline o� Toulon seems to be a major spot for theformation of eddies;
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
326 W/m2
527 W/m2
207 W/m2
Hot spot for Eddiesdetachment
What do we learn from this heat budget?
I Lets take an Eddy of 10km radius with temperature anomaly of 0.1◦C within alayer of 200m depicted the LIW in its core ⇒ heat content of 2.6× 1016J
Introduction Data and Methods Results Conclusion
Shef-sea exchange along the NC path for the LIW layer
2 3 4 5 6 7 8 9 10
41
42
43
44
Longitude
Latit
ude
0 50 100 150 200 250 300 350 400 450 500 550 600 6500
50
100
150
200
250
300
x [km]
y[k
m]
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000 1000
10001000
1000
100015
00
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2500
2500
2500
2500
2500
2500
2500
11 eddies/yr12 eddies/yr
6 eddies/yr
What do we learn from this heat budget?
I Lets take an Eddy of 10km radius with temperature anomaly of 0.1◦C within alayer of 200m depicted the LIW in its core ⇒ heat content of 2.6× 1016J
Introduction Data and Methods Results Conclusion
Conclusion
Contribution of the glider to the understanding of the NW Med Sea:
Repeated sections enable to:
I better characterize the mean and seasonal variation of the NC at di�erent points(in good agreement with previous studies);
I estimate shelf-sea exchange in term of heat �ux (or corresponding number ofeddies);
I identify a major spot for the formation of eddies directly impacting the deepconvection zone (a key-region for the thermohaline circulation).
But this dataset is also a goldmine for other studies (physical processes, eddies, ...)
Other communications about gliders in the Med Sea!(Tomorrow afternoon)
Poster: [B613: 15h30-17h] session 0S4.5: Bosse A., et al, Survey of submesoscalestructures at the margin of the Northern Current in the North WesternMediterranean Sea using Gliders: observations and diagnostics;
PICO: [Spot 3: 14h45] session 0S5.4: Bosse A., et al, Characteristics of GeostrophicEddies in the North Western Mediterranean as observed by Gliders andsimulated by a high-resolution Model: formation, behaviour and dissipation.
Thank you for your attention!
Introduction Data and Methods Results Conclusion
Conclusion
Contribution of the glider to the understanding of the NW Med Sea:
Repeated sections enable to:
I better characterize the mean and seasonal variation of the NC at di�erent points(in good agreement with previous studies);
I estimate shelf-sea exchange in term of heat �ux (or corresponding number ofeddies);
I identify a major spot for the formation of eddies directly impacting the deepconvection zone (a key-region for the thermohaline circulation).
But this dataset is also a goldmine for other studies (physical processes, eddies, ...)
Other communications about gliders in the Med Sea!(Tomorrow afternoon)
Poster: [B613: 15h30-17h] session 0S4.5: Bosse A., et al, Survey of submesoscalestructures at the margin of the Northern Current in the North WesternMediterranean Sea using Gliders: observations and diagnostics;
PICO: [Spot 3: 14h45] session 0S5.4: Bosse A., et al, Characteristics of GeostrophicEddies in the North Western Mediterranean as observed by Gliders andsimulated by a high-resolution Model: formation, behaviour and dissipation.
Thank you for your attention!
Introduction Data and Methods Results Conclusion
Conclusion
Contribution of the glider to the understanding of the NW Med Sea:
Repeated sections enable to:
I better characterize the mean and seasonal variation of the NC at di�erent points(in good agreement with previous studies);
I estimate shelf-sea exchange in term of heat �ux (or corresponding number ofeddies);
I identify a major spot for the formation of eddies directly impacting the deepconvection zone (a key-region for the thermohaline circulation).
But this dataset is also a goldmine for other studies (physical processes, eddies, ...)
Other communications about gliders in the Med Sea!(Tomorrow afternoon)
Poster: [B613: 15h30-17h] session 0S4.5: Bosse A., et al, Survey of submesoscalestructures at the margin of the Northern Current in the North WesternMediterranean Sea using Gliders: observations and diagnostics;
PICO: [Spot 3: 14h45] session 0S5.4: Bosse A., et al, Characteristics of GeostrophicEddies in the North Western Mediterranean as observed by Gliders andsimulated by a high-resolution Model: formation, behaviour and dissipation.
Thank you for your attention!
