COMPUTATIONAL LIMNOLOGY
To confront global water resource challenges, we need optimal process-based and data-driven models that capture our ecological knowledge and are informed by big data.
Using computers and theory to understand and preserve our freshwater ecosystems
Global change and climate change are stressing our precious freshwater resources. To confront these challenges, aquatic ecosystem models are used to simulate heat transport, water quality dynamics and ecological processes in aquatic ecosystems. Our research focuses on three main aspects: (i) understanding variability and shifts in lake phenology, (ii) developing and applying aquatic ecosystem models to explore the impacts of climate change on ecosystem processes, and (iii) using Knowledge-Guided Machine Learning for improved and sound projections of aquatic ecosystem dynamics.