the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A large-scale high-resolution numerical model for sea-ice fragmentation dynamics
Jan Åström
Jari Haapala
Arttu Polojärvi
Abstract. Sea ice motion and fragmentation forecasts are of vital importance for all human interaction with sea ice, ranging from indigenous hunters to shipping in polar regions. Sea ice models are also important for modelling long term changes in a warming climate. Here we apply a discrete element model (HiDEM), originally developed for glacier calving, to sea ice break-up and dynamics. The code is highly optimized to utilize high-end supercomputers to achieve extreme time and space resolution. Simulated fracture patterns and ice motion are compared to satellite images in the Kvarken region of the Baltic sea in March 2018. A second application is ice ridge formation in the Bay of Riga. With a few tens of graphics processing units (GPUs) the code is capable of reproducing observed ice patterns, that in nature may take a few days to form, over an area ∼ 100 km × 100 km, with an 8 m resolution, in computations lasting ∼ 10 hours. The simulations largely reproduce observed fracture patterns, ice motion, fast ice regions, floe size distributions, and ridge patterns. The similarities and differences between observed and computed ice dynamics and their relation to initial conditions, boundary conditions and applied driving forces are discussed in detail. The results reported here indicate that HiDEM has the potential to be developed into a high-resolution detailed model for sea ice dynamics over short time scales, which combined with large-scale and long-term continuum models may form an efficient framework for sea ice dynamics forecasts.
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Jan Åström et al.
Status: open (until 01 Nov 2023)
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RC1: 'Comment on tc-2023-97', Anonymous Referee #1, 07 Sep 2023
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A DEM model, HiDEM, has been applied to simulate sea ice in this study, and some interesting results are presented to prove the feasibily of the model. DEM is indeed a good method to simulate sea ice dynamics especially at local scale, and many studies in this field have been already conducted as the author said. However, what is the difference between this model and all previous DEM models? I am still not clear on this if just basing on the present manuscript. What's more, how to judge or evaluate the simulation results (good or not good) is a problem here. Only visual comparisons with satellite imagery seems to be not enough, and more quantitative comparisons are necessary. Is there any impact from ice thermodynamic processes on the difference between simulations and remote sensing?
(1) Line 28-29. Give some references here as the examples of model failures.
(2) Line 35-45. There are lots of applications of DEM in sea ice modeling, but the discriptions here don't make me very clear on the difference between the previous DEM model and the present model.
(3) LIne 72. The abbreviation DEs has already shown on line 38.
(4) What is the purpose of Fig 2B ? To compare the simulation result with in-situ conditions only by photos? They are different in many aspects, and what we can say from Fig.2a is just we can produce ice ridges by using the model.
(5) Has Fig.3B been cited in the context? Is it the initial conditions for the models? Where is the straight east-west feature and why it is there?
(6) Line 140-143. Can we have some discussions on the comparisions among these Figures?
(7) What is the purpose of Figure 10? More dicusssions on the figure is necessary. It is very strange to put a figure at the end of a section without any explanations, but it happened several times in the manuscript.
Citation: https://doi.org/10.5194/tc-2023-97-RC1
Jan Åström et al.
Jan Åström et al.
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