Steven J. Greybush - Research Topics

Data Assimilation | NWP and Ensembles | Mars | Winter Storms and Extreme Weather | AI / ML | Interdisciplinary





Data Assimilation Techniques and Applications

  • Ensemble Kalman Filter
  • Localization Techniques
  • Convection-Scale Data Assimilation
  • State and Parameter Estimation
  • Observing System Design and Evaluation


    • Numerical Weather Prediction and Ensembles

  • Numerical Weather Prediction and Verification
  • Ensemble System Design
  • Predictibility Horizons
  • Ensemble Sensitivity

    • Mars Atmosphere Weather and Climate

  • Ensemble Mars Atmosphere Reanalysis System (EMARS)
  • Transient Eddies
  • General Circulation
  • Water Cycle
  • Dust Storms

    • Winter Storms and Extreme Weather

  • East Coast Winter Storms
  • Lake-Effect Snow
  • Mesoscale Snowbands
  • Tropical Cyclones
  • Convection Initiation
  • Severe Weather
  • Rainfall Prediction

    • Artificial Intelligence, Machine Learning, and Statistics

  • Deep Learning for Convection Initiation
  • Clustering Techniques
  • Weather Regime Identification and Applications
  • Statistical Postprocessing of NWP Output
  • Object-Based Techniques

    • Interdisciplinary Predictive Science

  • Data Driven and Physics Driven Modeling
  • Planetary Atmospheres
  • Renewable Energy Meteorology
  • Hydrology Applications
  • Public Health and Meteorology
  • Compartment Modeling for Infectious Disease Dynamics

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