Simulations of the boundary layer flow over idealised patterns of leads in sea ice with (non-)lead-resolving applications

• Main Authors: Michaelis, Janosch, Lüpkes, Christof
• Format: Dataset
• Language: English
• Published: PANGAEA 2022
• Subjects: AC3; Arctic Amplification; atmospheric boundary layer; Binary Object; Binary Object (File Size); convection over leads; Description; microscale model; parametrization; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; regional climate model; sea ice concentration; SPP1158; turbulence; turbulent fluxes; Type; Antarctic; Arctic; Antarc*; Sea ice
• Online Access: https://doi.pangaea.de/10.1594/PANGAEA.942168; https://doi.org/10.1594/PANGAEA.942168

The data set consists of model data from simulations of the atmospheric flow over different configurations of leads in sea ice. Leads are elongated channels in sea ice over which strong convection can develop, especially between late autumn and spring due to large spatial temperature differences in that season. Lead-generated convection can considerably influence the structure of the atmospheric boundary layer (ABL), not only on a local but also on a more regional scale. All simulations (18 in total, see Table 1) were carried out with the non-eddy-resolving MEsoscale TRansport And Stream model (METRAS, Schlünzen et al., 2018a, b). Every simulation was forced with the same idealised initial inflow conditions of a springtime ABL typically observed in the polar ocean regions. Hence, the data is not georeferenced and the outputs are given with respect to a Cartesian coordinate system. The simulations refer to six different idealised configurations of leads in sea ice (three runs for each case). All cases consist of different domains downwind of an inflow region over 100% thick sea ice cover. In the vertical direction, the grid spacing is 20m below 350m (ABL height is 300m). The initial inflow conditions are the same in all simulations. These correspond to one of the idealised cases of Michaelis et al. (2020). The latter carried out similar simulations for the flow over individual leads, with METRAS and also with an LES model (LES data: Zhou & Gryschka, 2019). In five cases, the simulations are carried out on a microscale, lead- and convection-resolving grid with 200m horizontal grid spacing. The domains all consist of idealised series of leads, which differ by the width of the leads L (with L = {1, 2, 5, 10}km) and by the distance between the leads. These cases are abbreviated by ENS-1km, ENS-2km, ENS-5km-d20km, ENS-5km-d40km, and ENS-10km (see Table 1 in the data description file and Figure 2 in Michaelis and Lüpkes (2022)). Between the leads, which all have a surface temperature of 270K to represent leads ...