Arcodia Climate Research & Action Group
Arcodia Climate Research & Action Group
Research in the Arcodia Group explores climate predictability and change through cutting-edge data science, collaborative interdisciplinary approaches, and localized analyses for actionable climate solutions.
Research topics:
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explainable and interpretable machine learning applications to climate problems
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climate variability and predictability on subseasonal to decadal timescales
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tropical-extratropical teleconnections
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climate modeling
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climate risks to communities and ecosystems
Driving questions of our research include:
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What are sources of predictability on subseasonal to decadal timescales that provide forecasts of opportunity?
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Will forecasts of opportunity, particularly for extreme events, change with a changing climate?
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How can we leverage machine learning and data science tools to both enhance predictive capability and reveal fundamental physical processes driving variability and extremes in the Earth system?
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How can advances in subseasonal-to-decadal predictability be translated into actionable, region-specific strategies that enhance the sustainability and resilience of vulnerable communities and ecosystems?
NEWS!
I have open positions for PhD assistantships for Fall 2026 listed here. Interested students, please reach out!
