My research uses a variety of observational, modeling, and theoretical techniques when working on a problem. Each technique has its own defincencies, and by using many different approaches we can discover new knowledge. Observations I sometimes use include uncrewed aerial vehicles (UAS), radiosondes, and ground-based remote sensors (Doppler Lidar, AERI) to understand the vertical structure of the PBL. Use of these instruments usually requires knowledge of data processing techniques, and in the case of remote sensors, how the retrieval works. As these instruments can under sample the spatiotemporal variability in the PBL, additional information is needed to fill in the gaps. In my work, this is sometimes accomplished through objective analysis techniques, and in many cases numerical weather prediction models (e.g., Weather Research and Forecasting; WRF). At the foundation of my work is a strong math background, computer science skills, and regular experience observing and predicting the weather.
Research topics I tend to pursue tend to have some form of direct application to a specific community. I like to think that knowledge of this end user can help close the gap between research and operations. Communities I often think about when researching tend to be operational in nature - most commonly forecasting and range safety professionals. Other communities tend to have some form of under representation or are severely impacted by the weather (severe weather or pollution).