Ocean warming rates:
If more extra heat (due to fast rising greenhouse gases) is mixed down to hundreds and thousands of meters deep in the ocean, can ML techniques provide enhanced understanding of the regions where deep warming has accelerated and their contribution to future sea level rise?
Natural and anthropogenic influences on regional sea level changes:
How can ML help evaluate rising sea levels from human-caused warming versus natural climate cycles?
As more data is made available, can ML be used to reduce and quantify uncertainties in climate predictions?
THE OCEANS ARE A MAJOR COMPONENT OF THE CLIMATE SYSTEM. WITH OVER 93% OF THE HEAT TRAPPED BY GREENHOUSE GASES BEING STORED IN THE OCEANS, GLOBAL WARMING IS REALLY OCEAN WARMING. CLIMATE-CHANGE INDUCED OCEAN WARMING AND SEA-LEVEL RISE IS EXPECTED TO IMPACT A LARGE PART OF THE GLOBAL POPULATION AS MILLIONS OF PEOPLE LIVE WITHIN 1 METER (ABOUT 3 FEET) OF MEAN SEA LEVEL. AS THE OCEANS CONTINUE TO WARM, THERE IS AN URGENT NEED FOR NEW KINDS OF ASSESSMENT TOOLS AND SCIENTIFIC KNOWLEDGE ABOUT TIPPING POINTS AND FEEDBACK MECHANISMS WITHIN THE CLIMATE SYSTEM.
AI4OCEANS tackles these difficult climate change challenges using an integrative approach that brings together the diverse aspects of ocean warming and advanced modeling techniques toward producing benchmarks to be used in planning and risk management decisions. Here we will keep you updated with the last news from our projects.
This research is supported by the Regional Ministry of Education, Research, Culture and Sport under the Talented Researcher Support Programme — Plan GenT (CIDEGENT/2019/055).