EGU2020-7544, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-7544
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analysis of tidal sea-ice movement using a drifting ice beacon array in the Barents Sea

Amey Vasulkar1,3, Lars Kaleschke2, Martin Verlaan1,3, and Cornelis Slobbe1
Amey Vasulkar et al.
  • 1Delft University of Technology, Netherlands
  • 2Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
  • 3Deltares, Netherlands

In an experiment to validate an ice forecast and route optimization system, an array of 15 ice drift beacons/buoys were deployed between Edgeøya and Kong Karls Land in the east of Svalbard to measure the sea ice movement. These beacons recorded data at a sampling frequency of 15 minutes in the duration from March 2014 to May 2014 with different start and end dates based on their life. The particularly short time step captures the small scale effect of tides on the drifting ice. In this region of the Barents Sea, the frequency of the inertial motion is very close to the M2 tidal frequency. Hence, it is not possible to extract the tidal motion from the time series data of the buoys by using a Fourier analysis. It is also likely that these effects will interact. Instead, we develop a physics-based free drift ice model that can simulate the drift at all tidal and other frequencies.

The model is forced by winds obtained from the ERA5 Reanalysis dataset of ECMWF and ocean currents obtained from the Global Ocean Analysis product of CMEMS. Due to the effect of tides, the model is also forced by the tides obtained from the Global Tide and Surge Model (GTSM v3.0) which is built upon Delft3D-FM unstructured mesh code. This free drift model is validated against 8 of the 15 beacon trajectories. The model along with the observed data can be then be used to obtain insights on the relationship between the sea ice velocities and the tides. This will be particularly useful to obtain the effect of ice drift on tides in tidal models.

The model uncertainty is mainly due to oceanic and atmospheric drag coefficients, Cdw and Cda, respectively, and the sea ice thickness, hi. This study also focuses on optimizing the ratio of drag coefficients (Cdw/Cda) for the different beacon trajectories while varying the ice thickness between 0.1 m - 1.5 m and the ice-air drag coefficient between (0.5-2.5)x10-3. This ratio facilitates the evaluation of the frictional drag between the ice-water interface and thus, helps in determining the effect of ice on tides in tidal models.

How to cite: Vasulkar, A., Kaleschke, L., Verlaan, M., and Slobbe, C.: Analysis of tidal sea-ice movement using a drifting ice beacon array in the Barents Sea, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-7544, https://doi.org/10.5194/egusphere-egu2020-7544, 2020

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