SC/F14/J20

Results of oceanographic analyses conducted under
JARPA and JARPAII and possible evidence ofenvironmental changes
Tomowo WATANABE1, MAKOTO OKAZAKI1 AND KOJI MATSUOKA2
1 National Research Institute of Fisheries Science, 2-12-4 Fukuura, Yokohama, Kanagawa, 236-8648, Japan
2 Institute of Cetacean Research, 4-5 Toyomi-cho, Chuo-ku, Tokyo 104-0055, Japan
Contact e-mail:wattom@affrc.go.jp

ABSTRACT
Oceanographic observation data obtained by JARPA and JARPA II were analyzed to clarify physical oceanographic
conditions in the JARPA area as a basis for understanding of habitat environment of whales. About 2500 profiles wereobtained by XBT, XCTD and CTD observations from 1990/1991 to 2008/2009. Obtained profile data were converted to thesame format and utilized to describe the oceanographic feature of JARPA area. The data set enabled to describe the averaged
feature of the oceanographic structure in JARPA area for two decades. The Southern Boundary (SB) of the Antarctic
Circumpolar Current (ACC), which detected by a 0ºC temperature contour line on the 27.6σ0 isopycnal surface, characterize
the JARPA area. It is evident that the position of the SB is controlled by major features of bottom topography such as the
Kerguelen Plateau and the Pacific-Antarctic Ridge. In the area east of the Kerguelen Plateau, the position of the SB changes
on decadal timescale. The southward shift of SB in the region is observed in the early 2000s, and northward shift is observedin the later 2000s. Although the global warming is important forcing for the Southern Ocean, the JARPA and JARPA II
temperature data shows no statistically significant warming in the JARPA area for the two decade unlike the Antarctic
Peninsula region.

KEYWORDS: ANTARCTIC, SURVEY VESSEL, OCEANOGRAPHY, CLIMATE CHANGE, HABITAT,HUMPBACK WHALE,

INTRODUCTION
Oceanographic observation has been included in JARPA and JARPA II and a lot of subsurface temperature andsalinity profile data were collected from JARPA area (Pacific and Indian sector of the Southern Ocean, polewardof 60ºS) for 22 years period from 1987/1988 to 2008/2009. The purpose of the oceanographic observations is toobtain fundamental information of the ecosystem in the JARPA area and to contribute to clarify the relationshipbetween the oceanographic conditions and whales.
The repeat oceanographic observations of coastal region conducted in the JARPA is also important for
oceanography as the Southern Ocean plays key roles in the global thermohaline circulation through water mass
formation in the area. The North Atlantic Deep Water (NADW) is formed in the northern North Atlantic flows
into the Southern Ocean and is lifted up to subsurface depth. The Antarctic Bottom Water (AABW) which
occupies the bottom layer of the world ocean is formed in the coastal area of the Antarctic continent by mixing
cold and dense shelf water with the NADW (Schmitz, 1996). Although oceanographic observation byautonomous profiling floats (ARGO) is expanded in deeper area of the Southern Ocean in recent years, sustained
observations in the coastal regions where the ARGO floats are difficult to get in are still important
oceanographical issue (Rintoul et al. 2012). The oceanographic observation in JARPA oceanographic data
contribute to the monitoring of the coastal ocean of the Southern Ocean.

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The Antarctic Circumpolar Currents (ACC) is major feature of the Southern Ocean and the spatial
water mass distribution of the area is characterized by the zonal structure reaching to the deeper layer (Orsi et al.
1995). The oceanographic conditions of the JARPA area are also under the strong influence of the southern partof ACC. The Southern Boundary (SB) of the ACC, which is southern limit of ACC, is thought to be mostimportant oceanographic component of the JARPA area. The upwelling of the NADW around the SB isenriching the nutrient in the upper layer and is sustaining the rich ecosystem in the Southern Ocean. Matsuoka etal. (2003) investigated the relationship between oceanographic fronts and distribution of the large whale species.
They showed that the humpback whale gathered in the sea area around SB east of the Keruguelen Plateau in
Area IV (Figure 1). Nicol et al. (2000) indicated the results of the BROKE (baseline research on oceanography,
krill and the environment) in the area from 80ºE-150ºE conducted in 1996. They showed that the ecosystem in
the region south of the SB of the ACC is rich and the SB determines the spatial structure. In this study, by using
the expanded JARPA oceanographic data set by JARPA II, we advance the analysis of the oceanographic
structure and year-to-year variation of JARPA region.

DATA
Vertical oceanographic structures were observed by using XBT (eXpendable Bathy Thermograph), CTD(Conductivity-Temperature-Depth profiler) and XCTD (eXpendable CTD). Total number of available profiles is2557 from 1990/1991 to 2008/2009. XBT was mainly used in the first stage of JARPA (1987/1988-1996/1997).
XCTD (1997/1998-present) and CTD (SBE19 SEACAT profiler, 1998/1999-present) were introduced to gettemperature and salinity profiles that were important for dynamics of ocean currents and water mass analysis.
These data were stored in same format to be treated by the Ocean data View (Schlitzer, R., Ocean Data View,
http://odv.awi.de, 2011). Figure 2 shows oceanographic observation stations of JAPRA. In our analysis, we usedthe data obtained after 97/98 JARPA when salinity data available for water mass analysis. 1178 XCTD stations
and 675 CTD stations were occupied during 12 JARPA cruises from 1997/1998 to 2008/2009. CTD sensors were
calibrated every year and no significant error was reported.
XCTD data was checked by using climatology of the World Ocean Atlas (WOA 2001) and thesystematic positive bias found in salinity data in JARPA 97/98 was corrected. XCTD data was also checked
statistically to exclude suspicious data from analysis. The 10m interval smoothed profile data set was createdfrom original 1-m interval data and used for analysis. The accuracy of temperature and salinity data was also
checked by comparing with existing data downloaded from the database operated by JODC (Japan Ocean Data
Center). The data at the depth range from 410 to 500m in the northern part of area IV (70ºE-130ºE, 60ºS-65ºS)
were used for the comparison. The results of the comparison of the appearance probability for temperature value
and salinity value are shown in Figure 3. The figure shows that the JARPA data set has same statisticalcharacteristics with existing data set. The peaks of appearance probability for salinity of the two data setscoincide with the difference of less than 1/100 psu. These results show the JARPA data have enough accuracy forunderstanding the Southern Ocean.

RESULTS
Large scale oceanographic conditions of JARPA area
In order to classify the oceanographic structure of the JARPA area, a claster analysis was performed for the
JARPA and JARPA II temperature profile data by using K-means method. The profiles were classified to fiveclusters, as shown in Figure 4. The geographical distribution of each cluster is mapped in Figure 5. The Cluster-1
is the typical temperature profile observed in the coastal area and in the Ross Sea, the Prydz Bay region.

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Cluster-3,-4,-5 are profiles observed in the offshore region. These profiles have dichothermal structure(temperature minimum) in the upper layer from 50 to 100m depth and temperature maximum layer below 300m
depth. The cluster-4 is dominant in the offshore region of the JARPA area IV and the cluster-3 is remarkable inthe southern part of the area V. Cluster-2 has the intermediate character between the coastal water (Cluster-1) andthe offshore water (Cluster-3, -4, -5). The distribution of the profile types shows the layer structure in themeridional direction corresponding to the current system in the Southern Ocean.
By using all the profile data, horizontal temperature structures at the dichothermal layer which isremainder of the mixing of upper water in former winter and temperature maximum layer indicating the
upwelling of the upper Circumpolar Deep Water (UCDW) are shown in Figure 6a and 6b respectively. The 80m
temperature was used as the temperature at dichothermal layer and the 350m temperature was used as thetemperature at temperature maximum layer. Figure 6c is the horizontal temperature distribution on the 27.6σ0
isopycnal surface. Frontal structure observed along the 0ºC contour coincides with the southern limit of UCDW
and indicates the Southern Boundary (SB) of the Antarctic Circumpolar Current (ACC) (Orsi et al., 1995).
Horizontal distributions of 80m temperature, 350m temperature and temperature on the 27.6σ0 isopycnal surface
reveal almost same pattern each other. As pointed out by Watanabe et al. (2006), the SB indicated by the 0ºC
contour on 27.6σ0 is affected by the bottom topography of the Kerguelen Plateau and the Pacific-Antarctic Ridge.
In Figure 6a-6c, the temperature contours on each level show the same characteristics around the Kerguelen
Plateau and the Pacific-Antarctic Ridge.

Year-to-Year variation of the temperature field and SB
In order to investigate the year-to-year variation of the JARPA area from the 1990s to the 2000s, two typicaloceanographic structures, dichothermal layer and temperature maximum layer, and SB of ACC were analyzed.
For the Area IV, the temperature profile data in the region between 100º E and 130º E and south of 60ºS wereused to construct the time-latitude diagram of 80m and 350m temperature (Figures 7a and 7b). Year-to-year
variation of temperature on 27.6σ0 isopycanal surface is also shown in Figure 7c. For the Area V, data in theregion between 170º E and 170ºW and south of 60ºS were used. Time-latitude diagram of 80m, 350m
temperature and temperature on 27.6σ0 isopycnal surface are shown in Figures 8a – 8c. Temperature distribution
on the 27.6σ0 isopycnal surface was calculated for the period after 1997/1998 season when the XCTD
observation started.
The position of SB in the area IV is around 62ºS to 63ºS and shows the decadal change. The position
shifted southward from late 1990s to early 2000s and shifted northward after mid-2000s (Figure 7c). The SB in
the area V is located around 63ºS to 64ºS and the similar changes with area IV are observed (Figure 8c). The
southward shift of SB was reported for the region east of the Kerguelen Plateau from the analysis of the JARPA
data for 1997/1998, 1999/2000, 2001/2002, 2003/2004 by Watanabe et al.(2006). The present results suggest thatthe position of the SB has variation with decadal timescale.
To investigate the year-to-year variation of the temperature in the dichothermal layer and temperature
maximum layer, vertically averaged temperature data sets for 50-100m depth range and 300-500m depth range
were constructed for the three regions. In the Area IV, offshore region from 60ºS to 63ºS and the coastal region
from 64ºS to 67ºS were selected. In the Area V, middle region from 65ºS to 70ºS, where the temperature profiles
classified into cluster-3 were dominant, was selected. Time series of temperature for the three areas are shownwith error bar of standard deviation in Figures 9a–9c. Large Standard deviations of dichothermal layer
temperature in the north region and of temperature maximum layer temperature in the south region of the Area
IV for show the large spatial variability in each depth layer. On the other hand, temperature variability at thedichothermal layer in the south and temperature variability at temperature maximum layer in the north are-3-

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smaller and show the some warming trend. But the statistical examination shows that these trends are notsignificant. In the middle region of the Area V, subsurface temperature shows smaller variation (Figure 9c).

DISCUSSION
In this study, climatological oceanographic structure of the JARPA area was identified by the JARPA and JARPA
II oceanographic data for about 20 year period. The JARPA area was characterized by the meridional zonation of
the water mass distribution, the distribution is consistent to the typical structure of fronts and water mass
summarized by Talley et al. (2011). The SB was recognized as the major front in JARPA area and which was
also indicated by a boundary of clusters of temperature profiles by the cluster analysis. The temperature profiles
in the coastal area were clearly classified into one cluster and the large differences from other clusters wererevealed. The northern limit of the distribution of cluster of coastal water is the Antarctic Shelf Front (ASF), andthe front has important meanings for oceanography and for marine biology of the Southern Ocean. Theseoceanographic front systems were clearly identified for the JARPA and JARPA II periods.
The reanalysis of the meridional shift of the SB in the Area IV, which was pointed out by Watanabe etal. (2006), suggested that the shift was a part of the fluctuation with longer timescale. Giarolla and Matano(2013) analyzed the sea surface height data and identified the eastward propagating wavelike pattern on decadal
time scale in the Southern Ocean. Though the coastal region is the edge of their analysis area because of
insufficient data affected by sea ice, the long-term variation of the SB depicted in this study might to be related
to the large scale fluctuation observed in the offshore sea surface height field.
Massom et al. (2013) analyzed the satellite observed sea ice and sea surface temperature data in east
Antarctic sea. Their results about long-term variation showed the showed the shortening of the ice season
duration in the northern part of the JARPA area IV and the lengthening in the southern part. They also showed
the long-term trends in the sea surface temperature for each calendar month for the period from 1982 to 2010.
Their results show that significant warming occurred in the region north of JARPA area IV. On the other hand,the complicated situations observed in the JARPA area IV where cooling in the sea ice edge region and warmingin the offshore region were detected. These results seems consistent to our findings about the year-to-year
variation obtained by analyzing in-situ oceanographic observation data.
Several analyses of the satellite observed sea surface height field in the Southern Ocean indicate thetrend of sea level rise is dominant component of variation for 1990s and 2000s. The trend is found in almost
whole area the Southern Ocean and is thought to be a part of global sea level rise related to the global warming
issue (Giarolla and Matano, 2013). The trends in the sea ice and the sea surface temperature reported by Massom
et al. (2013) are thought to have some relation with the sea surface height. Thus, satellite observed data iseffective indicator of the marine environment of the Southern Ocean. However, these satellite observations areless available in the coastal area of the Southern Ocean. For this reason, in order to understand the structure andchange of the marine ecosystem of the JARPA area, monitoring of the marine environment by in-situ observationand matching of in-situ data and satellite observed data are necessary.

ACKNOWLEDGMENTS
The authors are grateful to the captains, crew, scientists and other staff of the JARPA and JARPAII surveys fortheir support for the hydrographic observations.

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REFERENCES
Giarolla, E. and Matano, R. P. 2013. The low-frequency variability of the Southern Ocean circulation. J. Climate,26, 6081-6091.
Kwok, R. and Comiso, J. C. 2002. Southern Ocean climate and sea ice anomalies associated with the Southern
Oscillation. J. Climate, 15, 487-501
Massom R, Reid P, Stammerjohn S, Raymond B, Fraser A, et al. (2013) Change and Variability in East Antarctic
Sea Ice Seasonality, 1979/80–2009/10. PLoSONE 8(5): e6475
Matsuoka K., Watanabe, T., Ichii, T., Shimada, H. and Nishiwaki, S. 2003. Large whale distributions (south of
60S, 35 E-130 E) in relation to the southern boundary of the ACC. Antarctic Biology in a Global Context,
pp26-30. Edited by A. H. L. Huiske, W. W. C. Gieskes, J. Rozema, R. M. L. Schrno, S, M, van der Vies & W. J.
Wolff. Backhuys Publishers, Leiden, The Netherlands
Nicol S., T. Pauly, Bindof, N. L., Wright, S., Thiele, D., Hosie, G. W., Strutton, P. G. and Woehler, E. 2000.
Ocean circulation off east Antarctica affects ecosystem structure and sea-ice extent. Nature, 406: 504-507.
Orsi, A. H., Whitworth III, T.and Nowlin Jr., W. D. 1995. On the meridional extent and fronts of the Antarctic
Circumpolar Current, Deep Sea Res., Part I, 42, 641-673.
Orsi, A. H., Johnson, G. C. and Bullister, J. L. 1999. Circulation, mixing, and production of Antarctic Bottom
Water. Prog. in Oceanogr., 43, 55-109.
Rintoul, S.R., Meredith, M.P., Schofield, O., and Newman, L. 2012. The Southern Ocean Observing
System. Oceanography 25(3):68–69.
Schmitz, W. J. 1996, On the World Ocean Circulation : Volume II. The Pacific and Indian Oceans/ A Global
Update. Woods Hole Oceanographic Institution, Technical Report WHOI-96-08, 241pp
Talley L.D., Pickard G.L., Emery W.J., Swift J.H., 2011. Descriptive Physical Oceanography: An Introduction(Sixth Edition), Elsevier, Boston, 560 pp.
Watanabe, T., Yabuki, T., Suga, T., Hanawa, K., Matsuoka, K. and Kiwada, H. 2006. Results of oceanographic
analyses conducted under JARPA and possible evidence of environmental changes. Paper SC/D06/J15.

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Figure 1. Relationship between distribution of Hampback whale (square) and the Southern Boundary (red curve)
cited from Matsuoka et al. (2003).

Figure 2. Oceanographic observation in the JARPA and JARPAII research area.

Temp

Sal

Figure 3. Appearance probability of temperature value (upper) and salinity value (lower).

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Temp

Figure 4. Five typical temperature profiles observed in the JARPA area obtained by a claster analysis using theK-means method.

Figure 5. Horizontal distribution of five types of temperature profile in the JARPA area. Legends are as follows.
●:Temperature profiles classified in to Cluster-1, ●:Cluster-2, ●:Cluster-3, ●:Cluster-4, ●:Cluster-5.

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(a)

(b)

(c)

Figure 6. Climatological horizontal temperature distribution calculated by using JARPA and JARPA II data forthe period from 1990/1991 - 2008/2009. (a) Temperature at 80m depth corresponding to thedichothermal layer. (b) Temperature at 350m depth corresponding to the temperature maximum layer
in the offshore region. (c) Temperature at 27.6σ0 isopycnal surface. Thick line indicates the 0℃
contour at each layer.

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Figure 7. Time-latitude diagram of (a) 80m temperature, (b) 350m temperature, (c) temperature on the 27.6σ0
isopycnal surface for the Area IV.

Figure 8. Time-latitude diagram of (a) 80m temperature, (b) 350m temperature, (c) temperature on the 27.6σ0
isopycnal surface for the Area V.

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Figure 9. Year-to-year variation of temperature at the dichothermal layer and temperature maximum layer in the(a) north and (b) south regions of Area IV and (c) middle region of Area V.

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