Developed and tuned an empirical-dynamical machine learning model for subseasonal prediction. Operationalized model for realtime use at the Climate Prediction Center.

PhD work:• Rossby wave triggering in NWP with a focus on major failures in global and regional prediction. • Diagnostics on error origins and growth, especially in situations of high impact events such as heavy rainfall and severe weather over North America.• Improving skill in anticipating high impact events on a subseasonal to seasonal basis.• Investigating California rainfall events in various ENSO base states, in the framework of the mid-latitude and subtropical Pacific waveguides.• QBO and stratosphere dynamics and interaction with the troposphere.Masters work: • Investigating the dynamics of error growth in ECMWF medium-range busts, focusing on the treatment of convection over the central US in the near term forecast, and how the related errors develop and propagate downstream into Europe.

Dynamics III​• Quasi-geostrophic theory and application, extra-tropical disturbances and baroclinic instability, fronts, jets, predictability, ensemble prediction and data assimilation.Dynamics II• Streamlines and trajectories, thermal wind, vertical motion, pressure tendency, circulation and vorticity, potential vorticity, wave equations, Rossby waves, boundary layer.Synoptics Lab• Hand analysis​ of synoptic maps, applications of QG, applications of potential vorticity, weather briefings, applications of programming, synoptic-scale research.

I researched high wind events in Anchorage, AK. I developed an empirical formula based on several variables to forecast the magnitude of impending wind storms.

Investigated the synoptic pattern leading to the Great Hurricane of 1938. Developed a climatology of recurving West Pacific extratropical bombs. Used composite analysis to demonstrate how the triggered wave activity influences the downstream pattern over North America.

I developed winter weather forecasts for the Transportation Management Center staff every 12 hours starting with a 3-day lead. The forecasts detailed the expected evolution of the storm over New Hampshire; including the onset of precipitation, any precipitation type changes, period of heaviest precipitation, and total accumulations, by traffic district. During the storm, I sent nowcasts as warranted.

I performed a case study analysis of winter season observations and forecasts to establish trends and reliability statistics. I developed a detailed forecasting process for use at the NH DOT, and gave several lectures to NH DOT personnel. I also helped in the enhancement of the Road Weather Information Systems website.

I worked with mentor Dr. Ted Mansell on investigating the sensitivity of microphysical parameters in a storm scale model on the motion, intensity, and severe characteristics of a supercell.I ran several different perturbations of the COMMAS model. The results demonstrate the need for storm-scale ensemble physics diversity using multi-moment microphysics in future Warn-on-Forecast applications.