Description:

Change is ever-present in the physical sciences. With increasing access to machine learning (ML), artificial intelligence (AI), and highly skilled ensemble modeling, the degree of change over the next 10 years is expected to be unprecedented. This session will focus on the ongoing evolution in operational meteorology and hydrology, including the increased focus on leveraging probabilistic data and cutting-edge techniques to provide more accurate and actionable decision support services for end users. Oral presentations and posters exploring the changing landscape of operational meteorology and hydrology are encouraged, with potential topics ranging from innovative applications of AI/ML to utilizing and communicating probabilistic information throughout the forecast process.