16/11/2023
How AI is helping to track the Antarctic Slope Current
When Alan Clark, one of our developers, began studying for his environmental Masters degree, little did he realise just how useful his knowledge around programming would be.
His dissertation focused on the westbound Antarctic Slope Current that circulates the continental shelf and plays a key role in regulating cross shelf flows from the Southern Ocean to the coastline, influencing the rate of ice melt.
Using his experience around AI and machine learning his research analysed the variability of sea surface heights coupled with surface geostrophic velocities and atmospheric wind forcing over a 16-year timeframe between July-2002 and October-2018.
His findings found there was a trend increase in sea surface height and indicated a coupling with climate systems such as El Nino, Interdecadal Pacific Oscillation, and Southern Annular Mode. This rise in sea surface heights also suggests additional increases of cross shelf exchanges and ice melt, that may be linked to climate change.
The subpolar Southern Ocean around Antarctica connects the Pacific, Indian and Atlantic oceans and is integral to the overall oceanic global processes to drive heat exchange across the globe.
The Antarctic Slope Current acts as a barrier to poleward cross slope and cross shelf flows heading towards the Antarctic coast. However, increased reduction in its strength allows warmer water exchanges more readily, thus warming the waters under ice shelfs and surrounding Antarctic margins resulting in iced melt.
Alan used his analytical skills to interrogate data from satellites around sea surface heights, open source data from the Euro Space Agency and European Medium Weather Forecast for zonal and meridian wind speed. He used Python for the geospatial data around graphs and charts and integrated this into Microsoft Power BI for outputs.
Having successfully completed his dissertation, this experience will now be applied to our ongoing carbon projects to identify patterns of variation in core data sets.