Key research themes
1. How can radar and satellite data enhance climatologies and morphological classifications of mesoscale convective systems (MCSs) in regional scales?
This theme focuses on leveraging remote sensing data, particularly radar and satellite infrared imagery, to develop climatologies and morphological archetypes of MCSs. Such climatologies are critical for understanding regional variability, ensemble forecasting, and severe weather hazard assessment. Accurate morphological classifications, including linear and non-linear system types and their spatial-temporal characteristics, are essential for linking environmental conditions with convective system evolution.
2. What are the key environmental factors and large-scale circulations influencing the formation, organization, and lifecycle of mesoscale convective systems?
This research area addresses the synoptic to sub-synoptic scale environmental drivers shaping MCS development, longevity, and hazards. The focus is on understanding how wind shear, moisture profiles, mesoscale convective vortices (MCVs), low-level jets, and regional climate modes contribute to MCS initiation, propagation, and upscale feedbacks to the larger atmospheric circulation. These insights inform both operational forecasting and numerical model development by highlighting critical predictors of MCS behavior.
3. How do mesoscale meteorological models and ensemble prediction systems improve the operational forecasting of mesoscale convective phenomena and associated severe weather events?
This theme examines the design, calibration, and evaluation of mesoscale NWP models and ensemble prediction systems (EPS) tailored to capture mesoscale convective processes and their uncertainties. It explores benefits of high-resolution dynamics, physical parameterizations, data assimilation (including radar and satellite winds), and probabilistic forecasting approaches for enhancing skill in predicting convective initiation, evolution, and severe weather hazards over operational timeframes.