Nora Loose
Researcher at Nansen Environmental and Remote Sensing Center (NERSC)
Bergen, Vestland, Norway
Summary
🤩
Rockstar🎓
Top SchoolNora Loose is a researcher in physical and computational oceanography with nine years of experience building and accelerating ocean models for the North Atlantic and Arctic. She has blended theoretical, numerical, and ML approaches—developing energetically consistent eddy parameterizations in MOM6 and hybrid climate models that integrate machine-learned closures with dynamical cores. Her work spans adjoint-based state estimation and uncertainty quantification (ECCO/MITgcm) to making Julia-based Earth system models differentiable for online training of hybrid models. Nora leads open-source tool development (GCM-Filters, ROMS-Tools) and has made core contributions to the widely used MOM6 codebase, adding kinetic-energy diagnostics and viscous remnant metrics. At [C]Worthy she translated models like Oceananigans.jl and ROMS-MARBL into faster, reproducible workflows for carbon dioxide removal research, and now applies that expertise at NERSC in Bergen. Colleagues value her rare combination of rigorous math training, hands-on Fortran/Julia/Python development, and a focus on reproducible, community-facing software.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences, Doctor of Philosophy - PhD, Geological and Earth Sciences/Geosciences at University of Bergen (UiB)Mathematics, Mathematics at University of TorontoDiplom, Mathematics, Diplom, Mathematics at The University of Bonn
German, English, Spanish, Italian, Norwegian
Github Skills (8)
fortran10
climate-model10
ocean10
numerical10
ocean-modelling10
numerical-methods10
numeric10
modeling10
Programming languages (12)
Github contributions (5)
mom-ocean/MOM6
Jul 2021 - Apr 2022
Modular Ocean Model
Role in this project:
Back-end Developer
Back-end DeveloperContributions:15 commits, 3 PRs, 2 comments in 8 months
Contributions summary:Nora made several contributions related to the Modular Ocean Model (MOM6) dynamics, primarily focused on implementing and integrating new diagnostic fields within the model's core functionalities. They introduced and implemented viscous remnant diagnostics, along with weighted diagnostics related to wind stress and vertical friction. These changes involved modifications to core Fortran code, including new variable declarations, data allocation, and integration with the model's diagnostic system, specifically including KE diagnostics.
numerical-modelingocean-circulationoceanfortranocean-model
conda-forge/gcm_filters-feedstock
Nov 2021 - Nov 2024
A conda-smithy repository for gcm_filters.
Contributions:8 PRs, 5 pushes, 4 comments in 3 years
gcmcondasmithyfilters
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