Our group aims to improve the
conceptual understanding and prediction of mesoscale processes, namely
cumulus convection and topographically forced/modified flows. Through
ongoing advancements in computer power, these processes are becoming
better resolved in numerical weather prediction (NWP) and climate
models. However, lingering deficiencies in the numerical representation
and conceptual understanding of these processes continue to limit the
accuracy of both NWP and climate forecasts. Improvements in these areas
are required for reliable guidance on short- and long-term
environmental hazards.
Active projects cover a broad range of topics, including:
- Observational climatology of boundary-layer convergence lines (Postdoc Kapil Dev Sindhu)
- Observational retrieval and environmental sensitivities of cumulus entrainment (Ph.D. student Sonja Drueke)
- Predictability and climatology of extreme precipitation in southern Quebec (Ph.D. student Daniel Tootill)
- Boundary layer forcing of cumulus convection (M.Sc. student Shanhe Liu)
- Orographic flow regimes and convection initiation during CACTI (M.Sc. student Andres Lopez)
- Numerical aspects of simulated cumulus convection (M.Sc. student Sarah Gammon)
- Environmental conditions favouring quasi-stationary orographic convection (B.Sc. student Jialin Liu)
A comprehensive list of peer-reviewed journal articles is available on my publications page.