作者: Jiping Liu , Shiming Xu , Bin Wang , Bin Wang , Jialiang Ma
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摘要: Abstract. High-resolution sea ice modeling is becoming widely available for both operational forecasts and climate studies. In traditional Eulerian grid-based models, small-scale kinematics represent the most prominent feature of high-resolution simulations, with rheology models such as viscous–plastic (VP) Maxwell elasto-brittle (MEB), are able to reproduce multi-fractal deformation linear kinematic features that seen in observational datasets. In this study, we carry out multiple grid resolutions by using Community Earth System Model (CESM) a hierarchy (22, 7.3, 2.4 km stepping Arctic). By atmospherically forced experiments, simulate consistent climatology across three resolutions. Furthermore, model reproduces reasonable kinematics, including spatial scaling partially depends on atmospheric circulation patterns forcings. By runs references, evaluate model's effective resolution respect statistics kinematics. Specifically, find scale at which probability density function (PDF) scaled rate low-resolution matches runs. This critical treated coarse-resolution grid, estimated be about 6 7 times grid's native resolution. We show our model, convergence elastic–viscous–plastic (EVP) scheme plays an important role reproducing and, more strikingly, simulates systematically thinner than standard, non-convergent experiments landfast regions Canadian Arctic Archipelago. Given wide adoption EVP subcycling settings current it highlights importance convergence, especially studies projections. The new grids integration CESM openly provided public use.