Articles | Volume 18, issue 6
https://doi.org/10.5194/tc-18-2875-2024
https://doi.org/10.5194/tc-18-2875-2024
Research article
 | 
21 Jun 2024
Research article |  | 21 Jun 2024

Exploring non-Gaussian sea ice characteristics via observing system simulation experiments

Christopher Riedel and Jeffrey Anderson

Data sets

Perturbed Parameters for CICE-DART Study Titled "Exploring Non-Gaussian Sea Ice Characteristics via Observing System Simulation Experiments" (1.0) C. Riedel https://doi.org/10.5281/zenodo.8164431

Model code and software

The community earth system model version 2 (CESM2) (https://www.cesm.ucar.edu/models/cesm2) G. Danabasoglu et al. https://doi.org/10.1029/2019MS001916

The Data Assimilation Research Testbed (Version9.9.0) NCAR https://doi.org/10.5065/D6WQ0202

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Short summary
Accurate sea ice conditions are crucial for quality sea ice projections, which have been connected to rapid warming over the Arctic. Knowing which observations to assimilate into models will help produce more accurate sea ice conditions. We found that not assimilating sea ice concentration led to more accurate sea ice states. The methods typically used to assimilate observations in our models apply assumptions to variables that are not well suited for sea ice because they are bounded variables.