Under increasing ocean warming, can ML techniques provide enhanced understanding of changes in ocean heat content and their contribution to future sea level rise?
Natural and anthropogenic sea level changes:
How can ML help evaluate rising sea levels from human-induced warming versus natural climate cycles?
Climate forecasting and predictions:
As more data is made available, can ML be used to reduce and quantify uncertainties in climate change’s sea level predictions?
Ocean precursors to the formation of hurricanes:
Can ML help gain a deeper knowledge of pre-hurricane conditions and forecast, combined with the underlying ocean physics?
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 grant CIDEGENT/2019/055 from the Ministry of Culture, Education, and Science of the Generalitat Valenciana and co-funded contract 4000134529/21/NL/GLC/my from the European Space Agency.