EGU2020-18293
https://doi.org/10.5194/egusphere-egu2020-18293
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation

Mahdi Mohammadi Aragh1, Martin Losch2, and Helge Goessling3
Mahdi Mohammadi Aragh et al.
  • 1Leibniz Institute for Baltic Sea Research, Physical Oceanography and Instrumentation, Germany (mahdi.aragh@io-warnemuende.de)
  • 2Alfred Wegener Institute (martin.losch@awi.de)
  • 3Alfred Wegener Institute (Helge.Goessling@awi.de)

Sea ice models have become essential components of weather, climate and ocean models. The reliability of process studies, environmental forecasts and climate projections alike depend on a realistic representation of sea ice. Developing and evaluating sea ice models requires methods for both large scales and fine-scale geomorphological structures such as linear kinematic features (LKF). We introduce a Multiscale Directional Analysis (MDA) method that diagnoses distributions of LKF orientation and intersection angles. The MDA method is different from previous methods in that it (a)  takes into account the width of LKFs instead of estimating the orientation of centerlines; (b) separates curve-like features from point-like features providing the opportunity to reach a unified definition of LKF in both numerical and observational fields; (c) estimates scale-dependent intersection angles.

How to cite: Mohammadi Aragh, M., Losch, M., and Goessling, H.: Comparing Arctic Sea Ice Model Simulations to Satellite observations by Multiscale Directional Analysis of Sea Ice Deformation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18293, https://doi.org/10.5194/egusphere-egu2020-18293, 2020

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