Research
Multiscale drivers of weather and climate extremes
My research combines data science, observational datasets and dynamical diagnostics to examine how multiscale interactions between tropical climate variability, particularly ENSO and the Madden–Julian Oscillation (MJO), and the extratropical circulation shapes the location and frequency of extreme hydro-meteorological events.
Autonomous observing systems for atmosphere–ocean interactions
I am a member of the NOAA-USV Atlantic Hurricane Mission, which pioneers observations by uncrewed systems in tropical cyclones. I developed virtual USV simulators that can be applied to fully-coupled numerical simulations to design, test and assess process-specific measurement strategies.
Airborne Tropical Cyclone Observations
Tropical cyclones spend the vast majority of their lives out in the open ocean, as such direct measurements of their properties typically require airplane missions. Recent technological progress provided us with the opportunity to expand our ability to sample the structure of tropical cyclones. In my research I exploit airborne wind and aerosol lidar instruments to understand the genesis of tropical cyclones in complex environments and their interaction with dry-dusty air intrusions (see a recent Saharan Air Layer outbreak as shown by the GOES-East satellite). I was part of three NASA-led field campaigns, starting from CPEX (2017), CPEX-AW (2021) and CPEX-CV (2022), where I served a lead flight scientists for two missions.
North Atlantic Tropical Cyclone Activity and Climate Variability
The number and location of tropical cyclones in the North Atlantic basin change drastically from year to year. Understanding the spatial patterns of tropical cyclone activity is crucian in order to improve risk assessments and preparedness. In my research, I use historical datasets and remote-sensing products to investigate how climate variability affects tropical activity and rainfall across the North Atlantic basin on interannual timescales, with a particular interest on the role of the North Atlantic Oscillation on the coupled atmosphere-ocean system.
Tropical Cyclone Rainfall – Observation Uncertainty
Remote sensing instruments, such as radars and satellites, allow us to estimate the amount of rainfall produced by tropical cyclones over the last two decades. Such estimates, however, differ significantly (see the example of Hurricane Matthew, 2016), limiting our ability to understand risk exposure and future changes in a warming climate. In my research I strive to systematically characterize the variability in TC rainfall among different observational products from three important standpoints: individual storm rainfall verification, extreme rainfall events and TC rainfall climatology.
