Gael Forget
Currently works as a research scientist at the Massachusetts Institute of Technology (MIT) in the Department of Earth, Atmospheric and Planetary Sciences. Research interests and expertise include satellite observations, ocean robots, marine ecosystems, ocean physics, numerical modeling, and estimation in general (incl. AI, ML, DA, & AD). Created the JuliaOcean and JuliaClimate organizations. Lead developer of a series of Julia packages focused on ocean and climate science. These include MeshArrays.jl (JuliaCon18), ClimateModels.jl (JuliaCon21), and OceanRobots (JuliaCon21).
Sessions
A community of Julia developers working with Earth Observation was brought together at the JuliaEO2023: Global Workshop on Earth Observation with Julia. 300 hundred people registered and 40 attended in person. All major aspects were covered: big geospatial data, remote sensing, data processing, visualization, modelling, data science, machine learning, artificial intelligence, and cloud computing. A Docker container and a Dataverse archive complement the notebook collection for reproducibility.
Ocean robots and satellites collect crucial data to monitor, understand, and predict climate change. Our digital twin framework accesses & simulates these complex data sets. It leverages multiple Julia packages developed by the author and linked organizations. This talk focuses on numerical modeling and artificial intelligence components of the DT framework. It touches on all major elements of the global observing system along with expected scientific, societal, and commercial applications.