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SSAI Scientist Dr. Sergio Sejas Helps Identify Key Sources of Uncertainty in Global Warming Projections

June 01, 2021 Data Analytics, Employee Spotlights, SSAI in the News, Technical Highlight

Findings from the extensive analysis carried out by Dr. Sejas and his colleagues provide a path forward to reducing the uncertainty in model warming projections that will improve scientists’ ability to predict the severity of global warming.