• Keine Ergebnisse gefunden

Transport variability of the ACC and teleconnection with the Southern Annular Mode (SAM) south of Africa

N/A
N/A
Protected

Academic year: 2022

Aktie "Transport variability of the ACC and teleconnection with the Southern Annular Mode (SAM) south of Africa"

Copied!
1
0
0

Wird geladen.... (Jetzt Volltext ansehen)

Volltext

(1)

3

Transport variability of the ACC and teleconnection with the Southern Annular Mode (SAM) south of Africa

Madlen Gebler

1

, Olaf Boebel

1

, Jens Schr¨ oter

1

, Andreas Macrander

1

, J¨ org-Olaf Wolff

2

1) Alfred Wegener Institute for Polar and Marine Sciences, Bremerhaven

2) Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg

Contact: Madlen.Gebler@awi.de

1 Introduction and data

Since December 2002 the AWI operates numerous Pressure Inverted Echo Sounder (PIES) along the Good Hope line South of Africa (Fig. 1). They had been deployed to investigate the variability of the Antarctic Circumpolar Current (ACC). Meredith et al. (2004) found a teleconnection of the ACC transport and the Southern Annular Mode (SAM) in Drake Passage. This work investigates the possibility of a similar teleconnection south of Africa.

6oW 0o 6oE 12oE 18oE 24oE 60oS

54oS 42oS 36oS 30oS

48oS

ANT 13−2 2008−2010

ANT 11 2002−2005 2008−2010 ANT 9 2005−2010

ANT 7 2002−2008

ANT 5 2005−2010

ANT 3 2007−2008

Africa

ANT 13−1 2006−2008

Fig. 1 Position and deployment period of the PIES

τ = 2·

Z pb

0

dp

ρ · g · c(T, S, p) (1)

PIES are moored devices measuring ocean bottom pressure and acoustic travel time.

The acoustic travel time τ is two times the time an acoustic impulse needs from the bottom to the sea surface and back (Eq. (1), c...sound speed).

2 Method: Gravest Empirical Mode

The Gravest Empirical Mode (GEM, Meinen and Watts, 2000) method projects hydrographic profiles onto a vertical integrated property like the acoustic travel time. The method makes no assumption about the vertical structure, in fact it simply fits hydrographic data (lookup table). Because of the depth limitation of the ARGO floats a reference level of 2000m was chosen for the lookup table. The travel times measured by the PIES had to be corrected for this reference level.

0 2 4

Acoustic travel time at 2000m [s]

Pressure [dbar]

STF SAF PF

2.67 2.68 2.69 2.7 2.71 2.72

2000 1800 1600 1400 1200 1000 800 600 400 200

0 5 10 15 20

°C

Fig. 2 Lookup table for potential temperature with a histogram of the profiles used for its creation.

Fig. 2 shows the lookup table for po- tential temperature. 56 CDT profiles and 126 ARGO profiles indicated as a histogram had been used for its crea- tion. The three major fronts, Subtro- pical Front (STF), Subantarctic Front (SAF), and Polar Front (PF) are in- dicated as solid black lines. Figure 3 shows a time series of potential tem- perature derived with the GEM me- thod.

2005 | 2006 | 2007 |

May Sep Jan May Sep Jan May Sep Jan

2000 1500 1000 500

0 5 10 15

°C 20

Fig. 3 Potential temperature time series derived at the position ANT 5 using the lookup table

3.1 Results: ACC Transport

The potential temperature and salinity time series derived with the GEM method are used to calculate a geostrophic velocity (Eq. 2). The vertical integral of vg times the distance dx between the stations results in the transport T (Eq. 3,z12...common depth of two stations).

vg(z+dz) = v(z)+ g

1035kg/m3 · f ·dρ(z)

dx dz (2) T = dx ·

Z 0

z12

vg(z)dz (3)

The geostrophic ACC transport is derived between 41.2S (ANT 5) and 53.5S (ANT 13).

Mean Transport:

2006-2008 147.2Sv±12Sv

2008-2010 142.8Sv±5.2Sv

Jan May Sep Jan May Sep Jan May Sep Jan May Sep Jan 130

140 150 160 170

Transport [Sv]

2007 2008 2009 2010

| | | | |

ANT 5_1−13_1 ANT 5_2−13_2

Fig. 4 ACC transport for two different deployment periods with error bounds, due to the error propagation of the lookup table rms-errors, indicated as gray shaded area.

3.2 Results: Teleconnection of the ACC transport with the Southern Annular Mode (SAM) index

The Southern Annular Mode (SAM) represents the climate variability in the southern hemisphere and is characterized by the SAM index. Meredith et al. (2004) found evidence that the SAM forces the interannual variability of the ACC transport through Drake Passage. In this study the hypothesis of a teleconnection between the SAM and the ACC transport is tested along the Good Hope line. A daily SAM index provided by the National Oceanic and Atmospheric Administration (NO- AA) was averaged to weekly means and correlated with the derived ACC transports.

Jan May Sep Jan May Sep Jan May Sep Jan May Sep Jan 130

140 150 160 170

ACC transport

2007 2008 2009 2010

| | | | |

Jan May Sep Jan May Sep Jan May Sep Jan May Sep Jan−4

−2 0 2 4 6

SAM index

Fig. 5 ACC transport (red/black) and SAM index (green) between 2007 and 2010

3.3 Results: Cross correlation of ACC transport and SAM index

Figure 6 shows the cross correlations of the two ACC transport time series with the weekly SAM index.

−150 −100 −50 0 50 100 150

−0.4

−0.2 0 0.2 0.4 0.6

time lag [weeks]

correlation

Fig. 6 Cross correlation of the ACC transport and the SAM index for the first (red) and the second (black) time period.

Maximum Correlation and Time Lag:

Dec.2006-Feb.2008 Sept.2008-Dec.2010

Maximum correlation 0.44 0.4

Time lag [weeks] -7 12

4 Conclusion and Discussion

Different mean transport might be due to the somewhat different position of the PIES ANT 13 during the first and second deployment period.

Correlation between SAM index and ACC transport is maximal 0.4- 0.44 with different time lags.⇒ Highest correlation between the ACC transport and the SAM index are not at similar time lags.

Meredith et al. (2004) found evidence in their study that the SAM forces interannu- al changes of the ACC transport through Drake Passage. The recent study can not support these findings. One reason might be that the ACC is located further north of the Antarctic continent at the Good Hope line compared to Drake Passage.

Another reason is that Meredith et al. (2004) analyzed interannual variability using time series of ten years which barely can be resolved by a one or two year time series. New PIES data will increase the time series in the upcoming years and help to overcome this problem. Further studies will look at the role of the barotropic part of the ACC transport.

Acknowledgments

This work was conducted within the project JIGOG (Surface mass redistribution from Joint Inversion of GPS site displacements, Ocean bottom pressure (OBP) models, and GRACE global Gravity models) funded by the German Research Foundation.

References

Meinen CS and Watts DR: Vertical structure and transport on a transect across the North Atlantic Current near 42N:

Time series and mean. Journal of Geophysical Research, Vol. 105, NO. C9, pp. 21.869–21.891, 2000.

Meredith MP, Woodworth PL, Huges CW, and Stepanov V: Changes in the ocean transport through Drake Passage during the 1980s and 1990s, forced by changes in the Southern Annular Mode. Geophysical Research Letters, Vol.

31, L21305, doi:10.1029/2004GL021169, 2004.

Referenzen

ÄHNLICHE DOKUMENTE

[r]

Sea level pressure anomalies between the subpolar low and and the subtropical high-pressure systems Positive: pressure gradient stronger than usual. Negative: pressure gradient

The distribution of dissolved nutrients (nitrates + nitrites, phosphates and silicates) will give us information on water masses and pathways, variability in water mass

Анализът на динамиката на външната търговия на България с държавите в Африка на юг от Сахара ясно показва нарастващото значение на тези страни

În Tabelul 1 este prezentat o serie de timp care descrie evolu ia activit ii institu iilor de credit din România, în perioada 2014 T2 – 2015 T2, prin intermediul a

The array spanned the Santos Plateau, the Vema Channel, and the Hunter Channel, all areas believed to be important for transport of Antarctic Bottom Water between the Argentine

[2004] showed that the response of the sea ice to SAM variability over the last 20 years is different from the one proposed by Hall and Visbeck, 2002 as it appears to be

In this study we used the available historical data to map the general geostrophic flow field of the surface layer of the northern part of the South Atlantic Ocean and to compute