Nils Hutter
Nils Hutter
Alfred-Wegener-Institut, Helmholtz Zentrum für Polar- und Meeresforschung
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Title
Cited by
Cited by
Year
Scaling Properties of Arctic Sea Ice Deformation in a High‐Resolution Viscous‐Plastic Sea Ice Model and in Satellite Observations
N Hutter, M Losch, D Menemenlis
Journal of Geophysical Research: Oceans 123 (1), 672-687, 2018
232018
Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm
N Hutter, L Zampieri, M Losch
Cryosphere 13, 627-645, 2019
122019
Predictability of Arctic sea ice on weather time scales
M Mohammadi-Aragh, HF Goessling, M Losch, N Hutter, T Jung
Scientific reports 8 (1), 1-7, 2018
122018
Fast EVP Solutions in a High‐Resolution Sea Ice Model
NV Koldunov, S Danilov, D Sidorenko, N Hutter, M Losch, H Goessling, ...
Journal of Advances in Modeling Earth Systems 11 (5), 1269-1284, 2019
72019
Simulating intersection angles between conjugate faults in sea ice with different viscous–plastic rheologies
D Ringeisen, M Losch, LB Tremblay, N Hutter
Cryosphere, 2019
72019
Viscous plastic sea ice models at very high resolution
N Hutter
University of Bremen, Alfred Wegener Institute, 2015
72015
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations.
N Hutter, M Losch
Cryosphere 14 (1), 2020
32020
Feature-based comparison of sea-ice deformation in lead-resolving sea-ice simulations
N Hutter, M Losch
The Cryosphere Discuss., https://doi. org/10.5194/tc-2019-88, in review, 2019
32019
Scaling and statistical properties of sea-ice deformation fields from models participating in the FAMOS Sea-Ice Rheology Experiment
A Bouchat, N Hutter
22018
Modeling Sea Ice fracture at very high resolution with VP rheologies
D Ringeisen, N Hutter, M Losch, LB Tremblay
The Cryosphere Discuss., https://doi. org/10.5194/tc-2018-192, in review, 2018
22018
Comparing deformation features of sea ice models contributing to the FAMOS Sea-Ice Rheology Experiment
N Hutter, A Bouchat
12018
Breaking the ice: What sea-ice models need to learn from Broccoli to better predict climate change
N Hutter
2019
Resolving Leads in Sea-Ice Models: New Analysis Methods for Frontier Resolution Arctic Simulations
N Hutter
Universität Bremen, 2019
2019
The FAMOS Sea-Ice Rheology Experiment (SIREx)
A Bouchat, N Hutter
2018
A Dataset of Linear Kinematic Features (LKFs) to Evaluate Sea Ice Deformation
N Hutter, L Zampieri, M Losch
2018
Towards lead-resolving sea-ice models
N Hutter, M Losch, D Menemenlis
2017
Developing a dataset of Linear Kinematic Features (LKFs) for the evaluation of small-scale sea ice deformation
N Hutter, L Zampieri, M Losch
2017
Predictability of Deformation Features in Arctic Sea Ice
M Mohammadi Aragh, M Losch, H Goessling, N Hutter, T Jung
2017
Modellierung von Rinnen im Arktischen Meereis
N Hutter
2017
Scaling properties of Arctic sea ice deformation in high-resolution viscous-plastic sea-ice models
N Hutter, M Losch, D Menemenlis
2016
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