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Nora Loose
Nora Loose
Verified email at princeton.edu - Homepage
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Cited by
Year
Observing system evaluation based on ocean data assimilation and prediction systems: On-going challenges and a future vision for designing and supporting ocean observationalá…
Y Fujii, E RÚmy, H Zuo, P Oke, G Halliwell, F Gasparin, M Benkiran, ...
Frontiers in Marine Science 6, 417, 2019
572019
Diffusion‐Based Smoothers for Spatial Filtering of Gridded Geophysical Data
I Grooms, N Loose, R Abernathey, JM Steinberg, SD Bachman, ...
Journal of Advances in Modeling Earth Systems 13 (9), e2021MS002552, 2021
172021
Leveraging uncertainty quantification to design ocean climate observing systems
N Loose, P Heimbach
Journal of Advances in Modeling Earth Systems 13 (4), e2020MS002386, 2021
102021
Quantifying dynamical proxy potential through shared adjustment physics in the North Atlantic
N Loose, P Heimbach, HR Pillar, KH Nisancioglu
Journal of Geophysical Research: Oceans 125 (9), e2020JC016112, 2020
82020
Diagnosing scale-dependent energy cycles in a high-resolution isopycnal ocean model
N Loose, S Bachman, I Grooms, M Jansen
Journal of Physical Oceanography 53 (1), 157-176, 2023
52023
GCM-filters: A Python package for diffusion-based spatial filtering of gridded data
N Loose, R Abernathey, I Grooms, J Busecke, A Guillaumin, E Yankovsky, ...
52022
Adjoint modeling and observing system design in the subpolar North Atlantic
N Loose
The University of Bergen, 2019
42019
NeverWorld2: An idealized model hierarchy to investigate ocean mesoscale eddies across resolutions
GM Marques, N Loose, E Yankovsky, JM Steinberg, CY Chang, ...
Geoscientific Model Development 15 (17), 6567-6579, 2022
32022
Quantifying dynamical proxy potential through oceanic teleconnections in the North Atlantic
N Loose, P Heimbach, H Pillar, K Nisancioglu
Authorea Preprints, 2022
22022
Parameterizing eddy form stress in a thickness-weighted average isopycnal ocean model
N Loose, GM Marques, A Adcroft, SD Bachman, SM Griffies, I Grooms, ...
Authorea Preprints, 2022
2022
Exploring the Information Potency of OSNAP Mooring Data in the Arctic and Subpolar Gyre State Estimate
H Pillar, AT Nguyen, P Heimbach, A Bigdeli, N Loose, V Oca˝a, S Lozier, ...
Ocean Sciences Meeting 2020, 2020
2020
The Dynamical Proxy Potential of the OSNAP Array
N Loose, P Heimbach, H Pillar, KH Nisancioglu
Ocean Sciences Meeting 2020, 2020
2020
Assessing the Information Potency of OSNAP Mooring Data in the Arctic and Subpolar Gyre State Estimate
H Pillar, A Nguyen, P Heimbach, F Li, MS Lozier, A Bigdeli, V Ocana, ...
22nd Conference on Atmospheric and Oceanic Fluid Dynamics, 2019
2019
How informative are SST proxy data in paleoceanographic inverse modeling?-Insights from comprehensive uncertainty quantification
N Loose, P Heimbach, KH Nisancioglu
EGU General Assembly Conference Abstracts, 12472, 2018
2018
Local and remote drivers of Nordic Seas heat anomalies
M ┼rthun, N Loose, H Asbj°rnsen, T Eldevik, KH Nisancioglu, O Skagseth
2018 Ocean Sciences Meeting, 2018
2018
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