Loose, N., Bachman, S., Grooms, I. and Jansen, M. (2022). Diagnosing scale-dependent energy cycles in a high-resolution isopycnal ocean model. submitted to Journal of Physical Oceanography. Preprint doi: 10.1002/essoar.10511055.1.
Marques, G., Loose, N., Yankovsky, E., Steinberg, J., Chang, C-Y., Bhamidipati, N., Adcroft, A., Fox-Kemper, B., Griffies, S., Hallberg, R., Jansen, M., Khatri, H. and Zanna, L. (2022). NeverWorld2: An idealized model hierarchy to investigate ocean mesoscale eddies across resolutions. submitted to Geoscientic Model Development. Preprint doi: 10.1002/essoar.10511043.1.

Journal Articles

Fujii, Y., Remy, E., Zuo, H., Oke, P., Halliwell, G., Gasparin, F., Benkiran, M., Loose, N., Cummings, J., Xie, J., Xue, Y., Masuda, S., Smith, G.C., Balmaseda, M., Germineaud, C., Lea, D.J., Larnicol, G., Bertino, L., Bonaduce, A., Brasseur, P., Donlon, C., Heimbach, P., Kim, Y., Kourafalou, V., Le Traon, P-Y., Martin, M., Paturi, S., Tranchant, B. and Usui, N. (2019). Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Front. Mar. Sci. 6:417. doi: 10.3389/fmars.2019.00417
Loose, N., Heimbach, P., Pillar, H. and Nisancioglu, K. (2020) Quantifying Dynamical Proxy Potential through Shared Adjustment Physics in the North Atlantic. Journal of Geophysical Research: Oceans 125, no. 9. doi: 10.1029/2020JC016112. Selected as Eos Research Spotlight and highlighted in this StoryMap.
Loose, N. and Heimbach, P (2021). Leveraging Uncertainty Quantification to Design Ocean Climate Observing Systems. Journal of Advances in Modeling Earth Systems. doi: 10.1029/2020MS002386.
Grooms, I., Loose, N., Abernathey, R., Steinberg, J.M., Bachman, S.D., Marques, G., Guillaumin A.P., Yankovsky E. (2021). Diffusion-Based Smoothers for Spatial Filtering of Gridded Geophysical Data, Journal of Advances in Modeling Earth Systems. doi: 10.1029/2021MS002552.
Loose, N., Abernathey, R., Grooms, I., Busecke, J., Guillaumin, A.P., Yankovsky, E., Marques, G., Steinberg, J.M., Ross, A.S., Khatri, H., Bachman, S.D., Zanna, L., Martin, P. (2022). GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data, Journal of Open Source Software. doi: 10.21105/joss.03947.


Loose, N. (2019). Adjoint Modeling and Observing System Design in the Subpolar North Atlantic, Ph.D. Dissertation, University of Bergen, Norway.