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Quantitative estimate of inter basin exchanges in the Mediterranean Sea

from Lagrangian diagnostics applied to a OGCM

V.Rupolo, D.Iudicone

ENEA (Roma) – LODYC (Paris)

EU TRACMASS project

Lagrangian diagnostics to compute



- the water mass transport in the upper and lower branch of the Mediterranean

thermohaline circulation.



- the spectrum of transit times associated to the different paths of the

Mediterranean THC



Off line lagrangian integration algorithms developped by B. Blanke at LPO

(off line integration – 3D not ispoycnic floats – transport estimate)

http://www.ifremer.fr/lpo/blanke/ARIANE



Eulerian velocity fields (stored every days) from an equilibrium

year of a Mediterranean OGCM (MOM 1.0 0.25°x0.25°x19, Artale et al., 2002)



Details on the integration algorithm and model

implementation in the poster sesion

The Mediterranean is an evaporative basin and the Gibraltar

strait is a source of intermediate water









?











In the 90’ have been observed dramatic changes in the deep water formation

and in the vertical stratification in the EM. How/when

they reflect in the Gibraltar Output ?

Qualitative visualisation of the upper branch of the THC









About 60 000 particles uniformly released in the surface layers.

colours indicate depth from surface (blu) to 1000 m. (yellow)

Qualitative visualisation of the lower branch of the THC in the East Mediterranean









About 60 000 particles uniformly released in the surface layers.

colours indicate depth from 200 m (blu) to 1700 m. (yellow)

Qualitative visualisation of the lower branch of the THC in the West Mediterranean









About 60 000 particles uniformly released in the surface layers.

colours indicate depth from 50 m (blu) to 1700 m. (yellow)

The global TH cell appears to be composed by several different paths



- Quantitative estimate by releasing about 500 000 particles in the inflow in the

Alborean Sea and integrating them till they cross again the same section.

- For each particle hydrological characteristics and transit time are stored when

crossing one of the ‘transparent’ sections in the basin.









Sub division in different paths by checking the arrival times in the transparent sections

Total TH cell = Global cell + Western Cell + Fast recirculation



Distribution of arrival times

Western Cell

Global Cell, Upper Branch









Red arrows indicate the lower branch

Global Cell, Lower Branch

Water Mass transformation

SIC

LEV

SIC

ooSARD

Mean

NW

values

ADR ALB









T and S of the outflowing water in the Alborean Sea strongly depend on mixing between

water of eastern origin with fresher and cooler water in the North Western Mediterranean

paths P2 and P3 (strongly depending on deep convection in the NWM)

Global Cell, Lower Branch

Arrival times

Characteristic times





Experimental arrival times distribution P(t)

Tmode : P(Tmode) > P(t)  t

Tfirst=first arrival time









Cumulative F(t) = 0t P(t’)dt’ / 0 P(t’)dt’

median tm: F(tm) = 0.5



Percentage of water connecting the two sections

in a time smaller than t





Concentration in the basin C(t)=1-F(t)



Tres 0 C(t’)dt’



Typical times Ti if in some ranges C(t)  e –t/Ti

Often to fit the experimental distribution of the arrival times is used - without dynamical

arguments for its revelance – the solution of the one-dimensional advective-diffusive

equation





G(t*, , ) =  · (4 2 t*3) –1/2 exp{-  2(t*-1) 2 /4 2 t*},

where  is the mean arrival time and  is a measure of the width of the curve (dispersal)





, same 





Great , diffusive

behaviour (long tails)



Great , advective

behaviour (peaked around )

Global cell, total lower branch

Transit times distribution from Sicily

to Alborean Sea









- - total

P1

P2

P3

Global cell, P1 lower branch

Transit times distribution from Sicily

to Alborean Sea

Global cell, P2 lower branch

Transit times distribution from Sicily

to Alborean Sea

Global cell, P3 lower branch

Transit times distribution from Sicily

to Alborean Sea

Water Mass composition and Age

’Classical’ quantitative Water Mass Analysis: the tracer concentration is expressed

as a linear combination of N source-water values:



 = a1  1 + a2  2 + ………….. ….. +aN  N ai >0,  ai=1



The coefficient ai can be expressed (Haine and Hall, 2002) as:



ai = Ci  0d  Gi’(r, | 1), ai >0,  ai=1

where Gi’ = distribution of transit times from the source region i to r





Lagrangian approach



The water-mass component is defined by the geographical path from two given initial

and final sections where particles are released and stopped and the related distribution of

the arrival times P() can be subdivided in N distribution P i () corresponding to N

different paths connecting the two sections:



P()=  i P i()



In equilibrium the arrival time distributions corresponds to the age spectrum of the considered

transport between the two sections, then it is possible to compute the relative composition of a

water parcel in the final section in terms as a function of the water ‘age’ (elapsed time from

the initial to the final section).

Global cell, total lower branch

Cumulative functions









- - total

P1

P2

P3







Fi/Ftot:

Relative

Composition

As a function

of the age

Summary







- Lagrangian diagnostics powerful tool to fully exploit results

from Eulerian OGCM (detailed description of circulation paths)





- Analysis of the transit times distributions particularly

interesting (transmission of an anomalous signal, accident,

pollution)

Water Mass composition





Quantitative Water Mass Analysis



Composition of a water parcel in terms of the different fractions of source waters.

Tracer concentration as a linear combination of N source-water value:







T= a1T1 + a2T2 + ….. +aNTN

S= a1S1 + a2S2 + ….. +aNSN

ai >0,  ai=1



A water-mass component is defined by the geographical location of the

formation site, or (Lagrangian approach) by the geographical path

from two given initial and final sections

Tracer Green’s Function



 t (r,t) + [(r,t)] =

S(r,t)

 is a linear opeartor including advection and diffusive mixing

S is a tracer source or sink



The Green’s function G(r,t|r’,t’) is the solution to the related problem



 t G(r,t) + [G(r,t)] = (r-r’)(t-

t’)

G is the response of tracer concentration to an instantaneous impulse at

time t’ and position r’ in the interior. Considered as a function of r, t, r’ and t.

G captures complete information about transport processes in the flow.

The tracer field from a continuous source is a superposition of individual pulses.





(r,t) =d3r’dt’ S(r’,t)

G(r,t|r’,t’)

S(r’,t’) G(r,t|r’,t’)/ (r,t) is the fraction of tracer at r that released at r’ has resided

In the ocean a time =t-t’ and is a distribution of transit timefrom r to r’.

Tracer Boundary propagator

 tG’(r,t) + [G’(r,t)] = 0

The concentration boundary condition are G’= (r-r’,t-t’), where r’ is on the

boundary surface . The interior tracer concentration can be built from G’:



(r,t) =   d2r’  tot dt’ (r,t’) G’(r,t|r’,t’)



Where (r,t) (r) is a known time variation of the concentration on 



The interior field is obtained by multiplying G’ with the boundary concentration and

integrating. From all the possible pathways from  to (r,t), G’(r,t|r’,t’) dt’d2r’ is the

fraction that originated from the boundary region d2r’ in the time interval (t’,t’+dt’).



G’(r,t|r’,t’) is a joint distribution function describing the water-mass composition at r and t

from different surface-source regions and different times.



Considering a surface concentration steady in time and piece-wise constant over a series

of N surface patches 1 … N we then have:



(r) = (1) 1  0d  G1’(r, | 1) + … + (N) N  0d  GN’(r,

| N)

P()= experimental arrival time distribution that can be

decomposed in N arrival time distribution Pi() : i Pi() =

P() corresponding to N different path connecting initial and final

section



F(t) =  0td  P()



(t)= F(t)/F() represents the percentage of water , with regard to

the total flow, connecting the initial and final section in a time

smaller than t



Fi(t) =  0td  Pi()



 i(t) = Fi(t)/F(t) =  0td  Pi() [ 0td  P()] –1 , i 

i() = 1





 i represents the percentage of water, with regard to the flow

younger than t, that connects the initial and final section following

the i-th path.

Global cell, total lower branch

Sezione extra

Arrival times distribution









Total cell

Global cell

Western cell

WC, circulating

In the Tyrrhenian

Fast recirculation

In one dimension, the tracer continuity equation is





 t  + u ·  x  -k·  xx  = 0,

where u is the velocity, k is the diffusivity nd the only tracer source is ta x = 0.

The transit time distribution function G(x,t) is the response to a boundary condition (t)

at x = 0. For constant uniform u and k:



G(x,t) = x · (4kt3) –1/2 exp{-(ut-x)2/4kt}



An alternative form is (t*= /t)





G(t*, , ) =  · (4 2 t*3) –1/2 exp{-  2(t*-1) 2 /4 2 t*}



This distribution depends on the mean transit time  and width , that are simply

Related to u and k (=x/u , =(kx)1/2/u3/2 ).

This solution – without dynamical arguments for the revelance of one-dimensional

Transport - is a convenient form to fit experimental arrival time distribution making

freely vary the parameters  (mean age) and  (width)

Upwelling through the nutricline: particles are released (homogeneously) at

160 m. of depth and they are integrated till they reach the depth of 30, 15 and

5 m.



standard year

1993:Fully developped

EMT



From 160 to 5: 0.01 Sv From 160 to 5: 0.02 Sv









From 160 to 15: 0.02 Sv From 160 to 15: 0.04 Sv









From 160 to 300: 0.03 Sv From 160 to 300: 0.07 Sv

Time behavior of flux through the ‘nutricline’

Red = flux at the starting section, black= flux at the ending section









standard year

1993

From 160 to 5:

From 160 to 5:









From 160 to 15:

From 160 to 15:









From 160 to 30:

From 160 to 30:

Summary

Relaxing model SST to satellite SST from 1988 to 1993, the general

mechanism of the EMT is reproduced



Lagrangian diagnostics make easier the analysis of the development

of the EMT as it is represented by the model and allows quantitative

estimates, in particular:



i) In a preconditioning phase IW inflow in the Adriatic (Aegean)

decreases (increases). Probably wind induced (Samuel et al, Demirov

and Pinardi)

ii) The EMT fully develops during 1992 and 1993, the overflow from the

Aegean is concentrated during two events (O(months)). The total flow

over the Cretan Arcs is 1.2 1014 m3 (roughly the half of he estimate of

Roether et al.; 1996)

iii) Relaxation toward pre-EMT situatiuon (qualitative behavior and

estimate of characteristic time)



Moreover: Quantitative estimates of vertical transport before and after the

EMT (up lifted water), Time statistics

http://clima.casaccia.enea.it/staff/rupolo



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