Nora Loose


I am a postdoc at the University of Colorado Boulder and member of the Ocean Transport and Eddy Energy Climate Process Team (CPT). My research focuses on the energy cycle of the ocean mesoscale eddy field – its generation, its interaction with the large-scale flow, and its dissipation. With a better understanding of the ocean eddy energy cycle, I am hoping to improve the representation of mesoscale processes in ocean models.

Before joining the CPT, I worked on adjoint modeling and ocean state estimation within the ECCO project, with a research focus on the subpolar North Atlantic, the Nordic Seas, and the Arctic Ocean. I applied techniques from the computational sciences in order to quantify uncertainties in ocean state estimates and gain new insights into how to improve the global ocean observing system.

I am also engaged in developing open-source Python tools to enable our community to perform efficient, reproducible, and open science. I am a PI in the DJ4Earth project, where we develop and use an open-source framework for universal differentiable programming in Julia, which integrates Bayesian inverse methods with scientific machine learning in Earth system models.

When I’m not doing research, I like being active in the outdoors. I love rock climbing, trail running, and backcountry skiing.