Climate Tipping Points: Enabling Decision-Making Tools for the Future Arctic Operating EnvironmentDownload PDF

01 Aug 2023AAAI 2023 Spring Symposium Series ACTD SubmissionReaders: Everyone
Keywords: climate-informed decision-making, arctic, arctic sea ice, permafrost, climate tipping points, forecasting, AI-enabled predictive analytics
Abstract: The Johns Hopkins University/Applied Physics Laboratory (JHU/APL) is developing machine learning, visualization, and modeling algorithms to enable climate-informed decision- making tools for the Arctic. These tools will help planners develop resilient future Arctic capabilities and infrastructure by allowing them to explore the evolving short-term and long-term Arctic environment. We touch here on two recent JHU/APL research efforts related to Arctic decisionmaking tools: one on forecasting short-term Arctic sea ice extent and another on climate-informed decision-making given potential longer-term Arctic changes, including permafrost thaw. We highlight the need to incorporate climate tipping points into future Arctic decision-making tools.
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