• . .. C.M.1993/C:16

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...

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'.,' lees stahltory meeting 1993 C.M.1993/C:16

Hydrography Committee

WATER MASS DISTRIBUTION IN TIlE ICELAND BASIN

CALCULATED

WITH

AN

OPTIMAL PARAMETER ANALYSIS

C.J. de Baer

Netlterlands Institute for Sea Research

P.O. box 59,1790 AB Den Burg the Netlterlands

Abstract .

An optimal multiparameter (water inass) analysis was applied upon data collected during the DUTCH-WARP cruises in -1990 and 1991 containing the tracers salinity, potential temperature, oxygen, silicate and nitrate. The method was tested for the influence of measurement errors and the errors in the characteristics. The individual contributions were calculated with a standard deviation of less than 0.05

and the volume percentages with a standard deviation of less than 2.8%. The contributions of the two years were compared. Intermediate

Water occupied a larger volume in 1991 than in 1990.

In 1990 the IW contribution changed strongly (from 500 to 1000 dbar) in 9 days.

It is suggested that this was caused by Sub Polar Mode water (SPMW) brought to this depth.Multiparameter

analysis shows that IW is a biochemically determined water mass instead of

Antarctic Intermediate Water or Africa. Water. Lower deep water (LDW) was found 100 dbar above the boUom at 60 0 N 20 0 W in 1990 but not in 1991.

LDW seems to redrculate in the Iceland Basin. High Iceland-Scotland Overflow Water was found at the slope of the Hatton Bank.

2

1.

IntroductiOll

In the oceans tracer concentrations are mainly deterinined by arlvection and diffusion. The sinks and sources of the tracers are found at the boundaries (land, holloin and surface) and fonn distiricUve source water types. The mixture of source water types that form a' water parcei can be used tö find the spread, entrainment and diffusion of the source waters and relate these with transport to give insight into the dynamics of the oceans.

Classic water mass analysis is primarily based on a inixing triangle in 6-5 space

(Mamayev, 1975).

A limitation of the method is that maximally 3 source water types can be used to calculate the compositions. In the Iceland basin at least 4 water types are present (Emery and Meirike, 1986,

McC~rtney,

1992), and only with extra assumptions can the mixing triangle be used. Tomzcak (1981),

.

. .

I .

Thompson and Edwards (1981) introduced a method, a~so based on linear mixing, which allowed more than 3 source water types. They iLsed more tracers than salinity and temperature. A disadvantage of the method was the negative contributions. Menke (1984) and Mackas ef al. (1987) iritroduced a triethod.

tri .

move a point outside the mixing triangle Ccausing the negative contribution) to the nearest mixing line or plane. In this paper this method is used to find the distribution of the different source water types. Astabilityanalysis of the method is performed, to get ari impression of the influences of measurement errors and errors in the characteristics on the contributions. The variability in and between two years is invesHgated at 60 0 N 20 o W.

2.

Description of the data

Measurements .

The data used in this paper were collected by the RV Tyro in the Iceland Basin, during the DUTCH WARP programme (Deep and Upper Transport, Circulation .

and ~ydrography \tYOCE Atlantic Research Programme) carried out in 1990 and

1991.

The CTD measurements were calibrated, averaged and interpolated to give results at 1 dbar pressure intervals. This gave aprecision of 0.0015

for salinity

(PSS 1978) and 1.7

mK for teinperature and 3 JlMol/kg for the oxygen. In this paper the potential temperature (ITS 1990) is used, for shortness it is called temperature. From the sampIes taken with the bottles in the rosette sampIer, the

'.

....

.

..

.

..

-

3 nutrients N03, P04 and Si04 were measured giving aprecision of 0.1,0.06,0.08 J.1

Mol/kg, respeetively. The P04 eon~entratio~".wa~rlO~ used beeause it is highly linear eorrelated with N03 (Redfield et al., 1963).

For the ealculations from the 1990 data no oxygen values were used beeause the oxygen sensor failed during that cruise and very few oxygen determinations from the sampIes were obtai~ed.

The bottle data were interpolated to give sampIes every 25 meters. Only data east of 30 0 W and below 500 dbar were used. For a more detailed deseription of the data see Van Akeri (1992).

"

Figure 1 shows the topography of the Iceland Basin together with the stations occupied in 1990 and 1991. The seCtions in 1990 arid 1991 are at the .same

positions, exeept the AR7 seetions. The naIries are the same for both Years. The distanee between stations was 15 miles on seetions A, B, C, E, F (1990) and A to

J

(1991) and 30 mile on seetion D" and the AR7 seetions. Seetion D was only.

measured in 1990. Seetions Band E are put together to give seetion BE. Seetion BE is oriented East West and seetion F is oriented North South. In figure 6 stations 46 and 47 are both measured at 60 0 N 20 o

W.

3.

Optimal parameter analysis

If it is assumed that a water sampIe i is fOrIned by linear mixing, this means "for sampIe i defined by:

(1a) with Si is the salinity, ei the temperature, 02i the oxygen, Si04i the.~ilieate, N03i the nitrate eoneentration of sampIe i and n the number of sampIes, and using the following definitions

(1b)

(1e)

(1d) that

4

(2) b; is the composition of sampIe i with bi/i the contribution of source water type j to sampIe i.

k j the characteristie tracer veetor oE source, water type j, Sswt/ the

' .

.

' eharacteristic salinity oE souree water type j, ete.

an~ K the characteristie matrix. p is the total number oE source, water types. The implementation oE mass eonservation is easily done, by' adding an extra colurim with val~e 1, to the eharacteristic vector k j and to the data vector Xj' This is a extension oE the dassic mixing triangle (Tomzcak, (1981».

multiparamete~

Figure 2 shows various property-property plots, and the characteristic values oE the source water types are indicated. The few oxygen values oE 1990 are Used to obtain the characteristic values. The characteristic values oE Intermediate Water

(IW) are determined on the base oE the nitrate maximum instead oE on the oxygen minimum. In this paper 5 source water types are used (p=5).

,If oxygen is used then 5 tracers are used (m=5), otherwise 4 tracers are used (m=4). The following souree water types are present: Sub Polar Mode Water (SPMW), Iritermediate

Water (IW), Labrador Sea Water (LSW), Lower Deep Water (LDW) and Iceland

Scotland Overflow Water (ISOW). For more details see seetion 5.

If m+l < p, there are more unknowns than equations (m+1 because of mass conservation), and the system is underdetermined. When m+l > p t~e system is overdetermined. In this ease the method minimizes the square residual. The residual for sampIe i is defined by:

(3) and gives the difference between the calculated and the measured tracer value.

The residual will be zero when there is exact linear mixing, no measurement errors occur, the tracers behave conservatively and the characteristics of the source water types are correct.

The different tracers used to calculate the contributions have different ranges; therefore the data are standardized. In this paper a standardization is used that gives every tracer range 1.

-.

1 = 1, ... ,m (4a)

..

-

) .

' : ,

5

• " .' •.

~

... ".' U"·"r>'''.

" (4b)

(4c)

.

' ;

"

-.

- ' , "

.

'"

, .

' .

'

.

~' with Xi,; • kj,l the value of tracer I of sampIe i or source water type j , Xi" • kj,l the standardized value of tracer 1 of sampIe i or soufce water type j and maxi(xi,l) arid mini(xj,l) are respectiveiy the maximum arid nlinhrium value'of tracer lover all the i sampIes. The contributions are now ca1culated while minirriizirig the residuals of the standardized data and characterislics. The calculated distributioris can be negative and duc to the mass conservation other oontributions can become greater than 100 %.

This is physically imreaIistic and is ccluSed by points outside the mixing triangle. Menke (l984) and Mackas et.

ale

(1987) iritrocluced a method that always calculates positive contfibutions, and by virtue of the mass conservation also contnbutions smaller oie equai to 1. Thc

Iriethod moves

ci

sampIe outside the mixing triangle to the nearest Iriixing line or

, mixing plane, giving a zero contribution instead of a negative contribution, but giving iarger residuals thari without the moving. For a detaÜed descriptiori of lhe procedure see Mackas et ale (1987) and Maamaatuaiahutapuet ale (1992).

If errors in the measurement of salinity are less possible thari for example in temperature, then, by the calculation of the residuals, salinity roust gain a higher weight, resulUng in a lower difference between measured arid ca1culated salinity.

This is achieved if equation 2 is solved while minimizing the square residual while the residual is defined by:

(5) with W a diagonal matrix with Wi,i the weight for tracer i.

This means that, with the highest weight on satinity, a point outside the mixing triangle is moved more or less isohalirie to the nearest mixing lirie or plane. In figure 3 this is demonstrated with 3 soufce water types, and the tracers temperature and salinity.

Point 1 is ca1culated with a 10 times higher weight on satinity than on temperature, poirit 2 the other way rourid. Mass conservation always gets the same weight as the highcst weight. Point 2 is moved along isolherms to the

6 mixing line in contrast of point 1 which is moved along iSohalines. The weighting influences the calculated contributions; point 1 contains 48% SPMW and 52% lSOW while point 2 contains 30% SPMW and 70% lSOW, but both are the reSultS of 1 data point. A weighting matrix can be defined as:

\

(6)

with eIl the standard deviation of tracer land &wt, the highest uncertainty of tracer 1 in the determination of the characteristic values of the source water types

(in standardized units) ami

Br,q

the kronecker delta (l if l=q else 0) This weighting matrix gives a higher weight to tracers with a high standard deviation (= high ability to discriminate between water types) arid a lew uncertainty' in the characteristic tracer values. This weighting is. based on Tomzcak and Large

(1989). This gives for my data set 23.6, 4.2, 1.0, 17.0, and 10.0 for salinity ~nd the mass conservation, temperature, oxygen, silicate and nitrate respectively. There are other definitions possible; instead of the uncertainty in the charaeteri~tics the measurement precision, or the expected ricin consei'vative behaviciur of a tracer can be used. Mackas et al.

(1987) used a non diagonal matrix W to take into account the covariance in the tracer characteristics.

4.

Stability of the method .

The contributions caiculated by this method will be influEmced by measurement errors and errors in the determination of the characteristic tracer values of the different source water types. The influences were investigated with stabhity tests.

For this stability test only section A of 1991 was used.

Influence of errors in the characteristic values

The largest uncertainties for tracer characteristics were 0.01 for salinity, 1 oe for .

temperature,5 Jlmol/kg for oxygen, 1 Jlmol/kg for silicate and nitrate both. To test the influence each characteristic tracer value was changed with the uncertainty of that tracer. The charactcristic salinity of SPMW is normally 34.640

(table 1), now the contributions were calculated once with a value of 34.630 and once with 34.650.

The othcr tracer valucs rcmain unaltcred. For each tracer arid each source water type this was done giving 50 sets of contributions. The

".

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7

• difference between the normal contributions and the "disturbed'; contrlbiitions were calculated and surrirriarized in table 2.

The overall influence ean be calculated with the volume

percent~g~~ occ~pied'byilie

5 water masSes. These results are llsted in test A in table 3. The difference between the nonnai percentages and the mean percentages indicates that decreasing a vaiue does not have the opposite effect of increasirig the vahie. The highest differences are caused when the characteristics of LSW are changed. The used uncertriirities are uricertairilies in the determInation of the SPMW charaeterisÜcs, arid these are much larger than the imcertaintles in the dehüminaUon of the chiiracteristlcs of fOf example LSW. Then:!fore these resultS cari be considered as "worst case" resultS.

If for every source water type itS own uncertriintj in its tracer

.

B).

When these

.

.

uncertainties were used to disturb the characteristics all togeth~r randomly (with

~ random number for every tracer and every source water type, ,vith a standard deviation equal to the tracer uncertainty of that specific tracer of thai source ,water type) the inflitence increased (test C). Summarizing the table shows that the individual contrlbutions are

e~timated

with a standard deviation of 0.01, 0.03,

0.05, 0.004

rind 0.04

for respectively SPMW, IW, LSW, LDW arid iSOWand the volume percentages are calculated with a shindarrl deviation of 0.4

%,2.3 %,2.8

. %, 0.3 %, and 2.7 %.

Influence of measurement errors

Besides the uncertainty in the characteristic values, also the measurement efrors influence the caiculated' conti-ibutions. The influence of the measurement errors was tested by disturbing the normal data with randoin noise of a standard devia tion eqitai to measurement precision (see section 2, for the nutrientS 0.1

J.l

mol/kg was used) and zero meari.

,Ai!

tracers were disturbed at th~ same time, but the distiirbance for each tracer in a samjJle was uncorrelated. This was done

25 times. Table 4 summarlzes the differences between the contributions caicuiated with the disturbed and undisturbed data. The standard deviations of the differerices indicate that the overall influence is small «0.03).

The volume calculations were only slightly influenced (table 5).

8

Influence oE oxygen

For the calculations of the 1990 data no oxygen was used. To find the irifluEmce of oxygen on the calciJ.lations, the contributions of 1991 were calculated with and without oxygen." The volume percentages of the different sections are listed in table 6. The maximal difference between the cakulatecl volume percentages is

1.4%. The small irifluence of oxygen is due to itS low weight (1 vs. 23.6).

Differences between the years 1990 arid 1991 larger than 1.4% are significant and" not due to the absence of oxygen in the cakula"tions.

5. Water masses in the Ieeland Basin

Tracer distributions

Figures 4a, Sa, 6a, 7a show the spatial eÜstribution" of the different tracers at section Fand BE. Figures 4a and 6a show the data of 1990 on section Fand BE. No

Oxygen is shoWn here. Figures 5a and 7a show the data on the sections Fand BE in 1991.

The salinity distribution (I in the figures 4a, 5a, 6a and 7a) shows a salinity minimum with val~es below 34.92 and oxygen values above 275 I,ünol/kg indicating Labrador Sea Water (LSW) (Talley and McCartney, 1982). Sub Polar

Mode Water (SPMW), formed by winter time convection in the North AtIantic

Ocean (McCartney and Talley, 1982) can be found above 750 meters. Between this layer and LSW there was an oxygen minimum (subfigure III in the figures) and an N03 maximum (subfigure V). These extremes were 'not on the same depths. To obtain a characteristic values, the nitrate maximum is used. The water mass responsible for th~se extreme values is tentatively called Intermediate Water (IW)

(Van Aken en De Boer, 1993). Its origin is not qitite c1ear. Tsuchiya et al. (1992) suggest that it is Antarctic Intermediate Water (AAIW), although they did not find a continuous core so far north. Kawase and Sarmiento (1986) fourid a layer with corresponding characteristics which they call Africa Water (AW). McCartney

(1992)suggests that the oxygen minimum is caused by an oxygen f1ux to the sediments of the Rockall Hatton Plateau, but in my data the oxygen minhnum at the Rockall Hatton Plateau appears to be 200 dbar above the hottom (AR7 section

1991, not shown in this paper). IW can also be determined biochemically. Near the hoUom helow the layer of LSW, two cold water masscs were found. In figure

2d Lower Deep Water. (LDW) is apparent with its high silicate concentrations

".

.

..

."

• ..

t .

\ • • • ., ''''.

~l

' ".. " \"

9

(Benriekom, 1985, DeBoer et al., 1991>.

This water mass is influenced by Aritarctic

Bottom water whlch give it its high si1icateconceritr~tio~.

LDW is transported by the Deep Northem Boundary Current (DNBC) westward looping through the

Rockall Through, west across the south flank of the Rockall Plateau, rierth along the Hatton Bank into the Iceland Basin, where it tUmed westward with the ISOW aleng the Reykjanes Ridge. In the subfigures 11 arid

UI

Iceland Scotiand Overflow

Water (ISOW) with its iow temperatuI'e and

~igh oxygen concentraUon (Lee and

EIiet, 1965) is apparent. This water flows to the south-west, along the Icelaridic slope arid the Reykjanes Ridge.

Water mass disiiibutlons

With the cltaracterislici from table 1 the contributions of the source water types

WeI'e calculated. Figüres

4h-7b show the dIstributions of the contiibutions.

Subfigure I shows .SPMW. On the seetion BE a lower concentration of SPMW was fourid in 1991 than in the 1990 and than on other sections. SPMW is found near the surface.

on seetions BE and Fa relative SPMW maximum was fourid at 1800 dbar.

It was brought to this depth by entraimrient in ISOW at the Iceland Faroe

Ridge (Vari Aken and De Boer, 1993).

In subfigure 11 the IW distribiJtion is shown and it appears that IW does not reach the Icelandic shelf at section F. Betweeri i990 arid 1991, great dlffererices occurred in the IW distributionS. In i991 it reached almost to the bottom at the sections Ai B, E, Fand AR7, this was not the case in 1990 (except at sedion AR7).

High LSW contiibutions are found at 500 dbar, due to the high temperature and salinity characteristics of the SPMW. The minimum of the LSW and the maximuin of the iw contribution at 1000 dbar (also shown in figure 8c) ,suggests that IW divides the water mass formed by mixing of SPMW arid LSW into two parts.

Looking to the characteristics of IW and compare them, with the characteristics of

AAlWas found by Tsuchiya et al.

(l992) and use them in a mixing triangle containing i..sw, AAlWand SPMW, it i~ not possible to obtain the characteristics of IW without negative contributions. This means that with the available water masses to modify AAIW it is not possible to obtain IW, and therefore it is not

Iikely that IW is diluted AAiw. The same reasoning holds for AfriCa Water

(AW).

This water is suggested to be the source of IW by Kawase and Sarmiento (1986).

With SPMW, LSW, AW and MOW (Mediterranean Outflow water) it is agairi not possible to ohtain the characteristics of IW without negative contributions

(personal communication M.H.C.

Stoll). This leads to the conchision that IW is a

10 biochemical water masSa The hignest contrlbutions of LSW are found at 1700 dbar.

Subfigure IV presents the LDW distribution. There was a c1ear difference between'

1990' and 1991 and between the sections. In 1991 on section F the LDW distribution showed 2 cores. This supports the recirculation pattern of LDW as suggested by McCartney (l992). In 1991 the

LDW

had equal in- and outflow surfaces (nolhing is saidaDout transports), while in 1990 the inflow seerns to be much more confined to the Hatton Bank while the outflow fs much broader. In the latter case the derisity suggests that the inflow velocity is much higher tllari the outflow velocity. At section BE only 1 core was found 1990.

The lSOW distribution is snown in subfigure V with the highest values near the bottom. High ISOW contributions at 1000 dbar depth are found on the Icelandic shelf. ISOW is found over the whole section, also in the south

(F)

and east (BE).

With the DNBC flowing along the Hatton Bank to the north, this means tnat part of the isow is redrculated into the Iceland Basin (Harvey arid Theodorou, 1986).

On the BE section ISOW was found on the whole section. Although the highest val~es were found near the Reykjanes Ridge, values over 50% were found at the

Hatton Bank.

-.

6. Variability in water mass cOlnpositions in the Iceland Basin

In 1990 and 1991 60 0 N 20 0 W was visited 5 times. In figure 8 the contributions : from the different source water types are plotted against the depth. The +++ and xxx lines are the results from 1991. The contribution o,f SPMW and ISOW appears to be similar in the two years. In IW, LSW and LDW contributions there were

Iarger differences within a year (see

OOO,DDO, and

000 all measured in 1990) and between the years. The IW maximum dropped, i.e. the oxygen minimum and nitrate maximum became less extreme. This can be seen in figure 6b V.

Stations 46 and 47 are both on 60 0 N 20 0 W, only 9 days apart (47 was done firstl). Station 46 corresponds with the 000 in figure 8 and 47 'corresponds with 000.

The squares were done 4 days after station 47.

The maximum nitrate concentration was lower .

at station 46 than at 47, while the temperature and salinity were higher at station

46.

In figure 8a

it

appears that the SPMW contribution is higher at station 46.

This .

suggests that SPMW is brought to this depth.

.-

.

.

-

.

~~. ~

,"'

11

The LSW contribution also changed. In 1990 the maximum contribution of LSW was higher than iri 1991 (10% more), and shallower (1700 dbar vs. 1800 dbar). The

.

~.

,

~'

..

-

\ difference was caused by IW: in 1991 the nitrate maximum was larger and thicker thari in 1990, and this caused LSW coiltribution to be smaller in 1991 than in 1990.

This ineans that biochemical processes (e.g. remineralisation) were higher in" 1991.

In figure d the contdbution of LDW is plotted. In 1991 (+++ rind

xxx)

there was a minimum at 2700 dbar while in 1990 there was a maximum. This means that

LDW is sometimes present at this position arid sometimes not. This could also be " seen in siiica plots (De BoeT and Van Aken, 1991) of that position. LDW was not found near the bottom, but about 100 dbar above the bottom. Below the core of

LDW, ISOW is found.

,-"',', e

VariabiÜty betweeri the seetions and the years

Table 6 summarizes the volume percentages of the water masses of the different seetions.

It is not possible to compare the section because the depth influences the percentages.

If the largest depth of a seetion is only 750 dbar, no LDW and ISOW are available, and therefore the other percentages'increasc~ On all sections LSW was the most dominant water mass and LDW the least. The percentage SPMW did not change much ~less then ±3%). The IW volume increased by 1.2%-6.7% except on section C, where it vanished. On section C lSOW increased (found at the surface), due to significantly lower nutrient concentration in 1991 than in

1990. This caused the nitrate maximum to be lower and the IW volume to be smaller. 'fhe decrease in nutrientS on seetion C is in contrast with the measurements at 60 0 N 20 0 W. The LSW volume percentages changes about ±7% at sections E and F.

The LDW volume stayed the same in both years, although the distribution differed. Although a large amount of LDW was found only at section AR7 in

1990, LDW can be found at section Hand I, so LDW reached far into the Iceland

Basin. From the AR7 section to these seetions LDW is much diluted. The ISOW volume percentage decreased at the south-west part of the basin, and increased in the north-east part.

<,..

\

12

7. Conclusions

The optimal parameter analysis is a useful tool for water mass analysis.

According to the stability tests the results are not much influenced by measurement errors or errors in the characteristics. The individual contiibutions are estimated with a standard deviation of less than 0.05

and the volume percentages are calculated with a standard deviation of less than 2.8%; The effect· of not using oxygen is very small due to the low weight of oxygen gaim?d from the weighting matrix. A disadvantage of the method is the dependency of the results on the weighting matrix. The weighting can change the contiibutions .

signifieantly when only salinity and temperature are tised.

If other tracers are used this influenee becomes less.

IW was mueh stronger in 1991 than in 1990, while LSW was weaker. LDW was not found near the bottom but 100 dbar above (60 0 N 20 0 W).

From the multiparameter analysis it appeared that IW is a biochemically obtained water masse In 1990 a maximum of LDW was found, in 1991 it was absent. LDW reaehes far into the Iceland Basin. On the F section two eores were present suggesting recirculation of LDW. High contributions of lSOW were found at the· slope of the HaUon Bank.

.

Perhaps it is possible to relate the residuals of the sampIes at the surface to surface eooling or precipitation and the residuals near the bottom to fluxes from the boUom. This paper does not consider residuals. Further research is needed to address the question. Linear mixing is assumed in this methode There· is no specific model behind this linear mixing; nothing is said about processes such as advection, diffusion ete.. Therefore care must be taken when physical proeesses are deduced from the eontributions calculated in this way.

Acknowledgement

The research reported here was supported by the Working Community of

Meteorology and Oceariography (MFO) with financial aid from the Netherlands

Organization for Advancement of Research (NWO) and from the Netherlands

Foundation for Marine Research (SOZ/NWO).

I thank M.H.C. Stoll for the fruitful discussions we had.

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13

Table 1; Characleristic values of the source water types

'~"

' ,,', """ -''>;.'-" ',-.'- ..

-:~ .~.

.

"",".'"

:·1',.':,.··

."'>."",''-

".<; .

"

Source Salinity Pot.

water Temp.

"type

.

,','-'"'

• •" ' , • • . • •0 , ' • • •

~

,. (oC)

.,

'"

, , ' ' - , •. ..:..<.

Oxygen

~mol/kg

.

'"

..

~.,

,-:,.,.

~'-.

" .....

,.

Si04

~Iriol/kg

" " " " " " " ' ' ' '

, ' , " " ,

N03

~mo1/kg

"",

...

~

.....

SPMW.".

,35.640~.

,12.0,.,., 270

< •• n.·

.... 3.6""",,, .12.0 . .,.,

IW

.

' .

'''''.-

. 34.976"".

c '

4.8

.

246 ..... ,.

.11.2",. '" 20.1"" ..

LSW,~, 34.88Z

.',,",

..,3.4,,,,

,.' ...

280,., .....

,10.6".

17.2

, , '

LDW",~", .34.905,.. .. '. 2.1 ,.,,,,,..... 239 ..,.

,45.5., .... , 22.2 ....,..·,......

ISOW ...

34.985 .. ".2.0, ".," 280.

~" ...10.0 ..

.

"

15.2 .•. ,.

Tab]€: 2 Difference between contribiltions caIcUlaled with changed and unchanged char&ieteristics.

.

test Water mass" ,.max(IAB I) ,. meari(AB) THstd(AB)

A SPMW

IW

..

, ' . '

LSW

LDW

ISOW.,..,.,

B

C

"

-

SPMW

IW"

LSW

LDW

ISOW,.,.

','

SPMW

IW

LSW

LDW

ISOW

. ' ,

,,-,

0.06

0.29

0.40

0.03

0.34 "

0.02

0.04

0.11

0

0.09

..

0.04

0.11

0.23

0.09

0.25

-0.001

0.002

-0.006

0.000

0.004

-0.004

0.011

-0.021

0

0

0

0

0

0

0.014

0.007

0.033

0.047

0.004

0.040

0.002

0.005

0.010

0.001

0.008

0.007

0.025

0.049

0.002

0.039

}

AB meriris the difference between the contributions ca1culated with changed arid unchariged characteristics.

B;,j is between 0 an~ 1.

The results obtained in test Aare calculatedwith the maximal uncertriinty for a tracer, arid each tracer of each source water type is. changed seprirately. The results of test Bare obtained with the itricertainties of each trricer belonging to the source water type (separately), ririd the results of test C are obtainecl while itsing the uncertainties of B but every tracer is changed simultaneotislY. See text for more details.

14

Tabte 3.

Volume percentages calcu1ah~d from the contribuUons which are calculated with the changed characteristics.

test water mass unchanged min max mean std

A

B

C

.

SPMW

IW

LSW

LDW

ISOW

SPMW

IW

LSW

LDW

.

ISOW

...

SPMW

IW

LSW

LDW

ISOW

% ...

I

.% .c% .%,

I.

% ....

11.4

10.0

12.5

11.4

14.0

1.9

5.9

1.0

25.0

3.3

14.4

. 55.7

45.3

60.3

54.9

1.9

0.4

2.3

2.8

0.3

17.0

11.1

27.3

17.3

, 2.7

11.4

11.2

11.7

11.5

0.09

14.0

13.0

15.3

14.2

0.32

55.7

53.7

56.9

55.5

0.58

1.9

1.7

2.0

1.9

0.03

... 17.0

15.4

18.7

16.9

0.46

11.4

10.4

12.0

11.2

0.44

14.0

11.5

17.2

14.7

1.6

55.7

48.7

58.2

54.2

1.9

1.6

2.1

1.8

2.7

0.14

17.0

14.4

22.4

18.0

2.1

For the explanations of the tests A, B, and C see table 2.

Iabte 4.

.

_:

Difference between contributions calculated with disturbed and undisturbed data.

Watermass max(IABI) .....

mean(AB)

SPMW

IW

LSW

LDW

ISOW

0.20

0.13

0.16

0.01

0.17

-0.0003

-0.0011

-0.0019

0.0000

0.0011

std(AB)

0.0039

0.0253

0.0284

0.0028

0.0187

.1B means the difference between the contributions calculated with disturbed and

undisturbed data. B;,j is between 0 and 1.

-.

.'.

.' ~

15

.. :, •. ", '; '. "'''J

Iable 5.

Volume percentages calcu1ated from the contributions whiCh are watermass caIculated with the disturbed data sels.

.

.

, undisturbed min max mean std

..

,.,

...

, ' "

.....

,

.... , ,.,.% .....'.

% % . ...%.

,-,"

% ......

SPMW

IW

LSW

LDW

ISOW

11.4

11.5

11.5

11.5

0.02

14.0

14.0

14.5

14.3

0.10

55.7

55.1

55.6

55.3

0.10

1.9

1.8

1.9

1.9

0.01

17.0

16.9

17.1

17.0

0.01

P"

I

G

H

A

B

C

0

E

J

ARr

Iable 6.

scclion

Volume percentages calculated with (1991) arid .

without oxygen (1990,1991)•

..1

1990

Walcrmass

.2

.,.3, ..... 4

W'."

1991 Und. 02)

.

. 1991 .

(exd.02)

Walcrmass Watcrmass

5 .

w.l, ,'.," 2 .. ,' 3,.

.4",,· ... 5,.,· ,.1

.,' 2,., ...

3,.,: 4 ,5

10.7

12.8

54.9

2.6

19.1

11.4

14.0

55.7

1.9

17.0

11.5

13.4

56.5

1.9

17.0

8.7

9.1

59.3

3.3

19.6

7.2

13.9

56.7

3.5

18.6

7.3

13.3

57.5

3.5

18.4

25.0

8.1

65.7

1.1

0.1

27.8

0.6

67.6

0.0

3.9

27.8

0.5

67.8

0.0

3.9

11.2

11.0

57.4

11.0

13.0

60.0

11.1

13.3

59.9

1.9

18.6

3.6

12.4

9.3

19.7

53.9

2.8

13.0

10.8

19.4

52.6

18.4

14.6

49.7

16.0

17.9

49.6

24.9

19.3

39.9

..

37.0

15.3

43.4

5.7

11.6

48.0

17.5

17.2

12.1

20.4

45.5

3.9

13.2

9.4

18.9

54.7

2.2

15.0

10.9

18.8

53.4

0.7

16.5

18.5

14.2

50.3

1.3

15.3

.16.1

17.2

50.5

1.3

14.6

25.0

18.4

41.3

0.8

3.5

·37.1

14.4

«.5

5.7

16.4

·12.2

19.5

46.8

3.9

13.0

2.3

14.7

1.3

14.9

1.3

14.9

1.3

14.0

0.8

3.2

5.6

15.9

11-

Section F in 1990 was 1 station (15 mile) less to the north

11-*

AR7 section had different positions in 1990 arid 1991.

Water mass 1 = SPMW

2=IW

3=LSW

4=LDW

5=ISOW

16

Literature

BENNEKOM, AJ. (1985) DissolvOO Silica as an indicator of Antarctic Battom water penetration, and the variability in the hottom layers of the Norwegian and Iceland basin

Rit Fis1ddeildar 9, 101-l()9

> >

DE BOER, C.J., HM V AN AKEN and A.J. V AN BENNEKOM (1991) Hydrographie variability of the overflow water in the Iceland Basin.

ICES CM. 1991IC:13

EMERY, W.J. and J. MEINKE (1986) Global water masses: summary and review

Oceanologic4 Acta 9,383-391 .

HARVEY, J.G. and A THEODOROU (1986) The circulation of Norwegian

Sea overflow water in the eastem

North Atlantic

Oceanologic4 Acta 9,393-402

KAWASE, M. and J.L. SARMIENTO (1986) Circulation and nutrients in mid depth AtIantie Waters

Journal

01

Ceophysical Res.

91, 9749-9770

LEE, A and D.

ELLET (1965) On the contribution of overflow water from the Norwegian sea to the hydrographie structure of the North Atlantie Ocean.

.

Deep Sea Research 12, 129-142

MAAMAATUAIAHUTAPU, K., V.C, GARCON, C. PROVOST, M. BOULAHDID and A.P. OSIROFF

. (1992) Brazil-Malvinas Confluence: water mass composition

Journal

01

Ceophysical Research 97,9493-9505

MACKAS, D.L., K.L

DENMAN and A.F. BENNETT (1987) Least squares multiple tracer analysis of water mass composition

Journal

>

01

Ceophysic41 Research 92,2907-2918

>

MAMAYEV, 0.1.

(1975) Temperature-Salinity Analysis of world ocean waters

Elseviers oceanography series 11,374 pp.

MCCARTNEY, M.S. (1992) Recirculating eomponents to the deep houndary current of the northem North

Atlantie

Progress in Oceanography 29, 283-383

MENKE, W. (1984) Grophysical Data Analysis: Discrete Inverse Throry

Academic Press, 260 pp.

.

REDFIELD, AC., B.H. KETCHUM and F.A RICHARDS (1963) The influence of organisms on the

.composition of sea water

In The Sea, vol.

2, 26-77

"'

- ,

HM.N. Hili (00.) Interscience Publishers NY

THOMPSON, R.O.R.Y. and R.J. EDWARDS (1981) Mixing and water mass formation in the Australian

~~~

Journal

01

Physical Oceanography 1,1399-1406

.

TOMCZAI<, M (1981) A multipara meter extension of temperaturelsalinity diagram techniques for the analysis of non-isopycnal mixing

Progress in Oceanography 10, 147-171

TOMCZAI<, M. and D.G.B. LARGE (1989) Optimum multiparameter analysis of mixing in the thermocline of the eastem Indian Ocean

Journal

01

Ceophysical Research, 94,16141-16149

TSUCHlYA, M., L.D. TALLEY AND M.S. McCARTNEY(1992) An castcm Atlantie section from Iccland southward across the cquator

Deep-Sea Research 39,1885-1917

V AN AKEN, H.M. (1992) DurCH-WARP 91, R.V. Tyro cruise 91 /1 part 1, WOCE Hydrographie Programme scction AR7E (cruise report)

NIOZ, Texel,34 pp.

VAN AKEN, HM. and C.].

DE nOER (I993) On the synoptic hydrography of intermediate and deep water masses in the Icc1and Basin submittcd to Ckep-&a Researc11

.

.-

17

Figui-e captions

.

..

.

~

.

A~re1 ,

A subset of the hydrographie stations occupied during the DUTCH-WARP cruises in 1990 and 1991.

The sectionS in 1990 and 1991 had the same names. 5ections A, B, C, E and F were done'in both yearsi section D was only done iri

1990 (station distance 30 riautical mÜes), arid sections G,

H,

I and

J

were only done in 1991.

For all these section the station distance was

15 nmiies. The AR7 sections were different in 1990 an 1991 (station distanee .

was 30 nmiles). The western boundary of the Iceland Basin is formed by the Reykjanes Ridge, while the eastern boimdary is formed by the Rockall-

Hatton Plateau and the Iceland-Faeroe Ridge.

.

'

Figure 2 (positioried after figure 3)

Property-property plots. All the sampIes measured in 1990 and 1991 are plotted. a: salinity-potential temperaturei b: salinity-oxygeni c: salinity-

silicatei d: nitrate-silicate. The silicate, nitrate and oxygeri units are mol/kg.

J1

Figure 3 (positioned before figure 2)

A hypothetical mixing tfiangle, with only SPMW, LSW and lSOW to show the influence of the weighting matrix. P is the original diita point, point 1 is the resulting data point when a 10 limes higher weight on salinity is uSed thari on terriperature, and point 2 is resulting data point if a 10 times higher weight is used on temperature. In table 2 the caiculated contribulions are listed.

Figure4

Figure 4a shows the tracer distributions on section F in 1990.

Subfigure I shows the salinity distribution, subfigure II the (potential) temperature distribution, subfigure III the oxygen distribution (not in 1990), subfigure

IV the silicate distribution, subfigure V the nitrate distribution and subfigure VI the sigma theta distribution. The silicate, nitrate and oxygeri units are Jlmol/kg.

Figure 4b shows the distribution of the contributions of the different source water types. SiIbfigure I shows the SPMW contribution, subfigure II the IW contribution, subfigure III the LSW contribution, subfigure IV the LDW contribution and subfigure V the ISOW contribution.

18

Figure 5

As figure 4 with the data on seetion F in 1991.

Figure 6

As figure 4 with the data on seetion BE in 1990.

Figure 7

As figure 4 with the data on seetion BE in 1991.

Figure 8

The contributions of the source water types on 60 0 N 20 0 W. Figure a shows the SPMW contribution, figure b the IW contribution, figure c the LSW contribution, figure d the LDW contribution and figure e the ISOW contribution. The

+++

and xxx belong to the measurements in 1991. Station

88 in figure 5 and 7 corresponds with the

+++.

The 000, 000 and

eee

are measured in 1990. The

000 corresponds with station 47 of figure 4 and 6, the

000 correspond with station 46 figure 4 and 6.

eee

were measured 4 days after station 47 and 5 days before station 46.

47(90) was measured 7/17/1990; 83(90) was measured 7/21/1990; 46(90) was measured 7/26/1990; 60(91) was measured 4/29/1991 and 88(91) was measured 5/6/1991.

..

32

N o o

20 lCELAND

16

4LJ

50

Longltude

(W)

12 .---_ _....-_ _..,.-_ _--.-_ _-.--_ _-.._ _

- - - - , , - - - - . , . - - - - . - - - - 7 l - - - ,

5

4

3

8

7

6

11

10

9

LSW calculated point, data point calculated point

2.

34.9

35

ISOW

35.1

35.2

salinity

35.3

35.4

35.5

35.6

Figure 2

35.7

-

C-

E

Q)

...

Q) ca

...

='

Q)

1 2

10

4

2

8

6

0

34.8

35 35.2

salinity

35.4

35.6

-r

SPMW

320 . . . - - - - - - - - - - - - - - - - ,

8

300

280

LSW ISOW

!

I c:

G)

C)

>-

)( o

260

".

SPMW i

240

2 2 0

'----'---'-~_'__"__'___'___'___'__.l.._._L__'_~_'__"'____'__'_---'

34.8

35 35.2

salinity

35.4

35.6

50 , . - - - - - - - - - - - - - - - - - - ,

C

40

Q) ca

.5::?

CI)

30

20

10

o

34.8

35 35.2

salinity

35.4

SPMW

35.6

..

~

50

40

G) ca

.5::?

"ii)

30

20

10

0

10

LDW----J>.6

o

15 nitrate

20 25

Figure 3

..

...

d 125

..0

"tj 150

" -

171l

~

... 200

~

CI) 225

CI)

~

250

... 275

~

300

326

Sal i ni

t y

station nwnber

105 103 10' 88 87 85 83

Stlet i on F

'990

3110 07

'Oll '03 '0'

88 87

1750

2000

2250

2600

2750

8!1

3000

I

3260

3500

83

500

750

1000

1250

1500

Temperat ure station number

'05 103 101 90 117 115 113

500

7110

1000

~

... 200

CI)

~

2110

... 276

~

300

21100

27110

3000

321l

Stlction F

.1990

II

32110

3 50ql:-0=7"""',""0""1l"""',='=0'"'3:-'-""1

0=-',.....~8~8,........-8~7:-'-~.':'"O -'-~8""3-'

3500

12110

1500

17110

2000

2250

Figure4a

Ni trat e s tat ion nwnber

;!.!.......:';!.0~5~':;.0~3T-.:.;10::..1:...."..::8;.:8:....r-:8;.;7=-_8T5::...,.-TII~3.,

600

760

1000

1250

1500

1750

~

... 200

;:3

CI) 225

2000

2250

2500 fI) 250

~

.... 275

~

300

2750

325

.$ection F

"'990 v

3000

3250

O

-

7

"-:,""'0""5-'--,"'0""'JJo-.,.,

0=-':-'-~8"'8""""'''''8~7:-'--8~5:-'-~8

J.".-l J 5 0 0

~ ...

200

~

CI)

225

CI)

~

260

.... 276

~

300

325

350

07

Section F

'990

'05 103 10' 88 1I7

N

U 1IJ

600

750

1000

1260

1600

17110

2000

2260

2600

2760

3000

3250

3500

Si

gma t he ta st at i on number

60d07 '05 '03 101 90 117 85 113

750

--.. '00

J:'

5-"::::::::::::27.

5 ~

~125

....

·~11.~

..0

"d

150

"-

175

500

760

1000

12110

1500

1750

2000

2250

2500

27110

Section F

'990

VI

3000

325 3250

J 5 0 q';;-0';'7

"-:1'::0':"5.........,':':0:-:J....-'='=0'"'1,........~8""8

.........

~8~7,..........,8~5:-'--8~J=-'

J 5 00

-;::- 1000

Ö 12!'>0

.0

"'ö 1500

'--

175

~

""' 200

;j 225

1Il

1Il 250

~

""' 275

R.

300

325

Fraction ISOW

s t at ion numb er

10!'> 103 101 119 97 9!'> 93

$ection

1990

F

350 07 105 10.1

101 99 97 115 v

11.1

500

750

1000

1250

1500

1750

2000

2250

2500

27!'>0

3000

3250

3!'>00

Figure 4b

..

..

J50

Section F

1991

111 1011 107 105 103 101

117

500

750

1000

1250

1500

1750

2000

2250

2500

2750

JOOO

I

J250 ..

17

3500

--.. 100 fd

125

.0

'tj 150

"-

175

I» f200

~

225

(I)

250 f275

~

300

325

1J

SecHon F

1991

111 tOll 107 105 10.1

101 1111

111

2500

2750

3000

3250

117

3500

750 tooO

1250

1500

1750

2000

2250

Ni trat e

--.. 100 fd

125

.0

'tj 150

' -

115

I» f200

~

225

(I)

250 f275

R,

JOO

325

Section F

.1991

.150q

1.1

111 1011 107

V

105 10.1

101 1111

750

1000

1250

1500

1750

2000

2250

2500

2750

3000

3250

117

3500

50J 13

750

--.. 100 fd

125

.0

'tj 150

"-

175

Sect i on F

199(

111 101 107 105 103 101

750

1000

1250

11100

1750

2000

2250

2500

2750

JOOO

11

J250 ..

'7

3500

Si l i c ci.t

e station number

111 101 107 105 10J tot 111

750

--.. 100 fd

125

.0

'tj UO

"-

H5

I» f200

750 tOoo

1250

UlOO

1750

2000

2250

1Il 250

I» f275

~

300

2500

2750

J50

1J

Sect i on F

(99(

3000

IV

3250

111 tOI t07 105 10.1

101 111 1I1

31SOO

Sigma t he ta station number ltl 1011 t07 105 103 101 1111

--.. 100 fd

125

.0

'tj 150

' -

175

I» f-

~

1Il

200

225

111 250

I» lo275

R,

.100

J25

Section F

'99(

VI

.150 1.1 111

1011 107 105 10.1

101 1111

117

500

750

1000

1250

1500

1150

2000

2250

2500

2750

3000.

3250

Figure 5a

117

3500

d 125

.0

"t!

150

" -

175

$IIction

1991

F

350 IJ 111

10'

107 106 103 101

SecH on F

'99'

Fraction ISOW

111 s t at

,o\

.

O,~ nwnber

103 101 0' 07

500

750

1000 t250

1500

1750

:l000

2250

2500

2750

$eetion F

. '99' v

3000

3250

J ~-::'':''7''-t;;a'~ö7~ö5''OJ~ö1slVl

3500

III

750

1000

1250

1500

1750

:l000

:l:l50

:l500

2760

750

350 U

SecH on F

'99'

111

Fraction LDW

s t a t ·

10\ 0 n nwnber

1100

10' 107 105 103 lot

N

..

750 tooo

U50 tII00

1750

:l000

U50

:lIIOO

:l7110

3000

3250

97

31100

Figure5b

"

.

"

Temperat ure

s tat i on number

500

750

750

1000 d

125

.0

"tj 1150

"-

175

Cl)

~

(f)

(f)

Cl)

.... 275

A.

300

/HII,.

i

• "

..

,

,f

1250

1500

1750

2000

2250

2500

2750

3000

325

BE

I

3250

3150 4 12 80 1111 111 54 112 110 411 48 44 42 40 J8 3500

Cl)

.... 200

~

2215

(f)

Cl)

250

.... 2715

A.

300

325

/HII,.

BE i

..

• It

'1

~

II

350 4 12 10 llII 111 14 112 110 411 41 44 42 40 JII 3500

750

'000

1250

11500

17'0

2000

2250

2500

2no

3000

3250

Figure 6a

7'0

....

d

.0

l25

't3

1110

"-

1711

Cl)

.... 200

~

(f)

(f)

Cl)

.... 275

A.

300

/HII,.

500 no

1000

1250

11100

'1 17150

.,f

2000

~

" i 2250

2'00

2750

IV

3000

3250

3110 4 li2 10 511 116 114 112 50 411 41 44 42 40 311 31100 t

he ta

d 125

.0

't3

150

"-

175

Cl)

...

;j

225

!Il

(f)

Cl)

250

.... 275

A.

300

BE

325

J50C\i4 62 60 511 56 54 52 50 411 46

U

500

750

i

~

0

"

,f

~

1000 ....

1250 d

125

.0

1500

1750

"tj 150

"-

175

2000

2250

Cl) ...

~

!Il

225

2500 !Il

250

Cl)

2750 .... 275

A.

300 3000

V

J250 J25

42 40 .111

J500

Rill,.

BE

i

0

~

"

VI

,f

,

500

7110

1000

1250

1500

1750

2000

2250

2500

2750

3000

J250

J50C\i4 62 60 511 56 54 52 50, 48 411 44 42 40 .111

31100

Fraction ISOW

number

411 46 44 42

!l00

750

--.. 100 lod

12~

.0

"t3

1!l0

" -

17~

(,\)

10-

~

CI)

CI)

(,\)

10275

R,

JOD

RiGg.

1000

12~0

I!lOD

1750

2000

2250

2500

2750

BE v 3000

3250

J~O

4 62 60 5& 56 54 52 50 4& 46 44 42 40 Jll J500

Figure 6b

"

.

~

.

~

~

;3

CI)

CI)

~

~

R.

275

300

1«11,1'

BE

77 711 BI U

760

1000

1260 i

.:

11/

.:

, 1500

17!l0

2000

2250

2500

2750

3000

I 3250

86 87 IIlI III U U 87

3500

760

1000

1260 noo i

.

..

11/

.:

'1 17!l0

2000

2250

2600

/HilI' 2750

SecH on BE

1991

77 18 BI 11.5

115 87 811 11 U

3000

II

3250 n 1I7 3500

750

1000

IUO

1500

..

i

11/

.:

'1 1750

2000

2250

2500

2750

Rid,.

BE

3000

111

3250

I 7.5

75 77 18 BI 113 lI!l

87 lIlI III U U 117

3500

750

1000

1260

11100

~

~

;3

CI)

200

225

CI)

~

~

275

R.

300

1«11,.

.:

11/

.:

'1 1760

2000 i 2250

2500

2750

BE

3000

N

3250

I 7.5

7ll 77 711 111 U 115 B7 1111 1I U 15 17

3600 t he ta

750

1000 es

'25

.0

~

'50

"-

175

~

~

~

CI)

CI)

~ lo-

275

R.

300

Ridg,

V

..

1250

1500

i

11/

~

'1 1750

2000

2250

2500

27!l0

3000

S~cti

1991 on BE

3250

3!l°91 7J 75 77 711 111 IIJ 115 117 lIlI 111 IIJ 115 117

3500

~

~

~

CI)

~

~

~

275

R.

JOD

J25

Ridg,

BE

VI

750

'000

'250

1500 i

• 11/

..

~

'1 1760

2000

2250

2S00

2750

3000

3250

J!lO

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.:

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1

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2000

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2500

2750

...

"liD

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1 73 75 77 711 111 11" 115 117 lIlI 111

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350 I

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Q n

115 number

117 lIlI 11 113

95 117

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0

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1500 t750

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Figure 7b

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1

A

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Figure 8

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