Sensitivity of iceberg drift and deterioration simulations to input data from different ocean, sea ice and atmosphere models in the Barents Sea

Herrmannsdörfer, Lia; Lubbad, Raed Khalil; Høyland, Knut Vilhelm

doi:https://doi.org/10.5194/tc-19-5445-2025

Articles | Volume 19, issue 11

https://doi.org/10.5194/tc-19-5445-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-19-5445-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 11

Research article

|

06 Nov 2025

Research article |

| 06 Nov 2025

Sensitivity of iceberg drift and deterioration simulations to input data from different ocean, sea ice and atmosphere models in the Barents Sea

Lia Herrmannsdörfer, Raed Khalil Lubbad, and Knut Vilhelm Høyland

Data sets

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Arctic regional reanalysis on single levels from 1991 to present H. Schyberg et al. https://doi.org/10.24381/cds.713858f6

Arctic Ocean Physics Reanalysis J. Xie and L. Bertino https://doi.org/10.48670/moi-00007

Barents-2.5 ocean and ice forecast archive (ROMS, Prodcution end 2022) MET-Norway https://thredds.met.no/thredds/fou-hi/barents25.html

Short summary

Numerical simulations of iceberg drift and deterioration are a useful tool to fill the gap of otherwise scarce iceberg observations in the Barents Sea. We create statistics of iceberg simulations with input from different combinations of ocean, sea ice and atmosphere models to study their impact on the simulation results. We find that especially using different sea ice models Topaz and Barents-2.5 influences the iceberg drift, deterioration and occurrence in the domain.