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Research Portfolio

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S2S Forecasting for Energy & Trading

  • Developed a unique set of North American winter weather regimes forecasting electricity load spikes across central US power markets.
  • Built custom medium-to-long range cold wave prediction tool directly applied to energy trading needs.
  • Evaluated the skill of long-range subseasonal models for different stratosphere-troposphere coupling metrics important for temperature forecasts.
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Heavy Precipitation and Flash Drought Prediction and Risks

  • Co-developed methods of identifying subseasonal extreme precipitation events across the US and their subseasonal precursors.
  • Employed statistical and machine learning techniques for flash drought detection and prediction.
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Teleconnections and Weather and Climate Extremes Across Timescales (Subseasonal to Multi-Decadal)

  • Identified and modeled new atmospheric teleconnection pathways linking different types of El Niño to North Pacific climate modes and regional extreme weather patterns.
  • Evaluated interactions between Arctic amplification, polar vortex disruptions, and regional forcing for winter extremes in the present and future climate.
  • Identified and linked long-lasting North Pacific atmospheric circulations to hydroclimate extremes across western North America.
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Data-Driven Predictions and Applications

  • Led multi-disciplinary paper on setting standards for proper pre-processing of weather and climate data for data-driven climate prediction works
  • Co-authored study on using statistical downscaling of climate model output and deep-learning to assess climate-driven pavement degradation and structural stress across Oklahoma.
  • Developed neural networks and random forests for subseasonal extreme precipitation forecasts across the US.