Mit Mathematik zum Nordpol. (German)

Carolin Mehlmann and Thomas Richter from the University of Magdeburg took part in an expedition on the Polarstern to the Arctic Ocean in order to calibrate a new hybrid sea ice model. This model incorporates discrete sea ice floes into continuum mechanical approaches and aims to predict the movement of the floes more accurately. The current visco-plastic material model used in climate models has limitations when it comes to higher resolution and changes caused by climate change. Therefore, a new model is being developed based on alternative rheologies and numerical approximation methods. This model will be implemented on modern hardware, such as graphics cards, as part of the "Scale-Aware Sea Ice Project" (SASIP). The SASIP project uses spherical coordinates on a structured rectangular grid to adapt to land masses and oceans. The momentum equation is discretized in a mixed formulation in the mEVP model. The use of GPUs in the project's real application leads to a speedup of 7-10 times. The hybrid sea ice model combines particle and continuum methods to address different sea ice conditions at different scales. Measurements for the calibration of the hybrid model were conducted during the PS 138 expedition of the research icebreaker Polarstern. The model calibration was performed using ship-based cameras and image recognition algorithms. In the article, the authors describe their investigation into the drift of ice floes in the Arctic Ocean. They installed a camera system on the highest point of the research vessel Polarstern to observe the movement of the floes. The measured data was compared to the Nansen rule, which states that the ice moves at 2-4% of the wind speed and is deflected by 20-40 degrees clockwise. The authors discovered that the deflections in the measured data were significantly larger than expected. They also conducted simulations using the Navier-Stokes equations and found that the surface velocity of the floes can be influenced by neighboring floes. The authors plan to incorporate their findings into an efficient tool for predicting ice drift and to use drones for data collection in the future. [Extracted from the article]

Carolin Mehlmann and Thomas Richter from the University of Magdeburg participated in an expedition on the Polarstern to the Arctic Ocean to calibrate a new hybrid sea ice model. The model integrates sea ice floes as discrete particles into continuum mechanical approaches and aims to predict the movement of the floes more accurately. The current visco-plastic material model used in climate models reaches its limits with higher resolution and changes due to climate change. Therefore, a new model is being developed based on alternative rheologies and numerical approximation methods. This model will be implemented on modern hardware such as graphics cards as part of the "Scale-Aware Sea Ice Project" (SASIP). The SASIP project uses spherical coordinates on a structured rectangular grid to adapt to land masses and oceans. The momentum equation is discretized in mixed formulation in the mEVP model. The use of GPUs in the real application of the project leads to a speedup of a factor of 7-10. The hybrid sea ice model combines particle and continuum methods to resolve different sea ice regimes at different scales. Measurements for the calibration of the hybrid model were carried out during the PS 138 expedition of the research icebreaker Polarstern. The model calibration was done using ship-based cameras and image recognition algorithms. In the article, the authors describe their investigations into the drift of ice floes in the Arctic Ocean. They installed a camera system on the highest point of the research vessel Polarstern to observe the movement of the floes. The measured data was compared to the Nansen rule, which states that the ice moves at 2-4% of the wind speed and is deflected by 20-40 degrees clockwise. The authors found that the deflections in the measured data were significantly larger than expected. They also conducted simulations using the Navier-Stokes equations and found that the surface velocity of the floes can be influenced by neighboring floes. The authors plan to embed their findings into an efficient tool for predicting ice drift and to use drones for data collection in the future. [Extracted from the article]

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