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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sea level rise and coastal flooding
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 engage local officials and communities to build more sustainable infrastructure to aid in adaptation and preparedness for climate extremes?
NEWS!
I am recruiting a postdoc on subseasonal precipitation forecasting using machine learning - more information here. Interested candidates please reach out!
