Jordi Bolibar
Postdoc researcher at IGE, Université Grenoble Alpes (France)
Sessions
Using Julia for Earth and climate science has the potential to combine the best of both worlds: The speed of Fortran and the interactivity and productivity of Python, empowering users to be developers and developers to be users. In this minisymposium speakers will present software projects both from a user and a developer perspective. Talks are encouraged to discuss both use cases of existing software as well as the development of user-friendly software.
We introduce ODINN.jl, a new global glacier evolution model in Julia, leveraging SciML for functional inversions of geophysical processes from heterogenous observations. PyCall.jl enables us to build on top of key Python packages, combining each communities' strengths. ODINN.jl showcases flexible geoscientific modeling, combining domain knowledge of mechanistic models with machine learning, facilitated by Julia's differentiable programming and multi-language support.
Using Julia for Earth and climate science has the potential to combine the best of both worlds: The speed of Fortran and the interactivity and productivity of Python, empowering users to be developers and developers to be users. In this minisymposium speakers will present software projects both from a user and a developer perspective. Talks are encouraged to discuss both use cases of existing software as well as the development of user-friendly software.