The East Australian Current (EAC) is the complex, highly energetic western boundary current that flows along the east coast of Australia. As the strongest current in the region, the EAC and its associated turbulent eddies dominate the marine climate of the Coral and Tasman Seas and of the eastern Australian continental shelf.
Variability in the EAC’s strength, location, and property transport impacts the weather, ocean environment, and composition and functioning of marine ecosystems of the region. However, the influence of the EAC on the regional climate, shelf-coastal exchange processes, and the marine ecosystems is not well understood due in part to the paucity of long-term ocean observations.
To begin to address the need of the long-term monitoring of the EAC, the Australian Integrated Marine Observing System (IMOS) and CSIRO supported a comprehensive in situ mooring array at approximately 27°S from the continental slope to the off-shore deep ocean between 2012-2022, except for a 22-month period between 2013-2015 when the mooring array was not in place.The array is composed of seven moorings, with the shallowest mooring being the national reference station off North Stradbroke Island, and the deepest mooring extending from 4800 m to the surface (Figure 1a). Each mooring is equipped with instruments that measure temperature, salinity, and horizontal velocity placed along the mooring line (Figure 1b). Temperature, salinity, and some of the velocity measurements are observed at a specific depth (see red, green, and blue dots in Figure 1b, respectively). Over the continental shelf and slope, where the EAC is expected to be strongest, the velocity is measured every 4-16 m from the sea-surface to 1000 m of the water column. These velocity measurements are taken by acoustic doppler current profiling instruments (ADCPs, yellow dots in Figure 1b) and the vertical depth range of each ADCP is represented by the grey cones in Figure 1b.
With continuous measurements of ocean properties, we can build climatological means. Using these means as reference, we’re able to calculate anomalies of each ocean property. Anomaly values help us to identify unusual and extreme behaviours – for example an anomalously strong EAC, or extremely warm temperatures at the current’s sub-surface core. However, to determine mean and anomalous values of a property, the continuous measurements must happen at the same coordinates and depth in the water column and be free of gaps.
Planned and unplanned gaps happen in the raw data for several reasons. The number or nominal depths of the instruments might change between deployments, or a sensor might fail during its time in the water. Also, the mooring is “blown over” by strong currents. As the moorings are pushed over, the instruments measure ocean properties deeper than their nominal depth, sometimes leaving the shallower depths unmeasured.
To fill these data gaps in the EAC moorings data, a team of CSIRO experts used a machine learning technique to fill temporal and vertical gaps in the raw data. The gap-filled, gridded product is fully described and freely available here, ready for users’ uptake.
In IMOS-OceanCurrent, we have used the gridded product to calculate daily temperature, salinity, and velocity anomalies for the 8 years of EAC mooring array data. The result are vertical sections of these properties, showing how the EAC changes in time. To aid interpretation, we show these vertical sections alongside our usual maps of remotely-sensed data, with Argo floats occasionally complementing the sub-surface data near the array.
The dataset used here is fully described in Sloyan, B. M., Cowley, R., and Chapman, C.C. East Australian Current velocity, temperature and salinity data products. Sci Data 11, 10 (2024). https://doi.org/10.1038/s41597-023-02857-x