Recently, the American Meteorological Society’s (AMS) Annual Meeting concluded in Baltimore, MD. This year’s meeting was a great time as I was able to reconnect with old friends and colleagues as well as meet numerous new friends and collaborators. I presented 2 separate oral presentations based on some of our recent work; you can see the presentation slides in the Research tab.

First, I presented a method of improving our winter outage predictions models; we create an impact based scale connecting snow density, one of the most important predictors of winter outages, and the number of power outages. This provided benefit to the model, especially for the areas with wet snow. We are continue to refine this index and improve our winter model.

Second, I presented an overview of our Global Precipitation Measurement Mission Ground Validation Campaign. Over the last 3 years, we have observed over 90+ storms with a variety of ground instrumentation focusing on radar and microphysics observations; these are very important for verifying and developing satellite algorithms. We also have a BAMS article in review about this that I wrote, so keep an eye out for that in the near future.

In other news, I passed my PhD Qualifying Exam in early January pushing me towards my PhD candidacy! Now the work begins on refining my PhD research which will focus on winter storms and snow microphysics.

This summer, I had the pleasure to work with scientists from NASA on the data collected from the Global Precipitation Measurement (GPM) ground validation campaign at UConn that occurred over the last two winters (in collaboration with the IMPACTS field campaign). We focused on final data preparation for the observations, and I specifically began thinking about how to combine the ground observations with data from the GPM’s core observatory for a March 4, 2023 event where an intense snowband passed over the observing sites about 10 minutes before the coinciding GPM overpass. In addition to this work, I am the lead author on a Bulletin of the American Meteorological Society (BAMS) article that is currently being written. Overall, this summer was a great learning experience, and I am looking forward to collaborating more with this group of people as we head into the fall semester!

Over the last 3 months, I have been taking an online class offered by the European Centre for Medium-Range Weather Forecasts (ECMWF). This class went into great detail about different machine learning techniques and how they can be used in different weather and climate applications. It was a great opportunity to learn from some of the best and leading researchers in the world in this area, and I would highly recommend it for anyone trying to get into machine learning with weather and climate data!

Certificate_of_Completion

I recently attended the American Meteorological Society’s Annual Meeting in Denver, CO! It was great to catch up with old friends and colleagues and meet many new people. I was also there presenting my work that was done while I was at the University at Albany.

My talk, entitled Data Fusion: A Machine Learning Tool for Forecasting Winter Mixed Precipitation Events – Updates and Performance, was a part of the 22nd Conference on Artificial Intelligence for Environmental Science; this talk won an honorable mention award for oral presentations within this conference.

It was great to be able to present this work, and I am excited to go back to AMS in the future!

Click here to watch the Presentation or see the slides!