Advances in natural-language processing and large language models (LLMs), such as those utilized by ChatGPT, are transforming how geoscientists interact with complex datasets, enabling efficient and intuitive scientific analyses. As part of the Tracking and Communicating on Sea Level Pacific RISA project, PI Widlansky and the University of Hawaiʻi Sea Level Center (UHSLC) are developing tools that use LLMs to allow researchers to ask questions in everyday language and receive clear explanations and data analyses in response, minimizing the need for time-consuming tech support for project managers. One such tool, called the Station Explorer Assistant (SEA), draws on the UHSLC’s extensive databases and uses AI to analyze sea level data, compare water levels to normal conditions, and predict potential flooding. It even writes and runs its own analysis software, which it shows the user to check that its results are accurate. By making sea level science easier to understand and access, SEA can support communities adapting to rising seas and other coastal challenges.  Read More