Gridded pan-Arctic total neutral atmospheric 10-m drag coefficient estimates derived from ICESat-2 ATL07 sea ice height data (Version 2) ...

• Main Authors: Mchedlishvili, Alexander, Lüpkes, Christof, Petty, Alek, Tsamados, Michel, Spreen, Gunnar
• Format: Dataset
• Language: English
• Published: PANGAEA 2023
• Subjects: Arctic; Drag Coefficient; Sea ice; sea ice-atmosphere interactions; DATE/TIME; netCDF file; netCDF file File Size; Arctic Amplification AC3
• Online Access: https://dx.doi.org/10.1594/pangaea.959728; https://doi.pangaea.de/10.1594/PANGAEA.959728

This data-set contains average drag coefficient estimates for the whole of the Arctic (resampled onto a 25 km polar stereographic grid) for each month from 11.2018 to 06.2022. The total drag coefficients are referenced to a height of 10 meters and a neutrally stratified atmosphere is assumed. The total drag is the sum of open water drag scaled with (1-A) where A is sea ice concentration (Spreen et al., 2008), drag due to floe edges incorporated via a constant derived from parameterization (Lüpkes et al., 2012) and scaled with A(1-A), sea ice skin drag scaled with A, and sea ice form drag due to obstacles (e.g. ridges) computed from sea ice feature averages (Garbrecht et al., 2002) derived from ICESat-2 ATL07 sea ice heights (for all 25 km grid cells filled by ICESat-2 ATL07 data) (Kwok et al., 2021). Each individual component is also given as a separate variable in the data-set. In addition, the sea ice feature averages (10-km average obstacle height and obstacle spacing) used to derive form drag due to ... : The data files are in NetCDF4 format and contain drag coefficients from obstacles derived from ICESat-2 ATL07 (drag_IS2), drag coefficients due to open water (draw_ow), drag coefficients from floe edges (drag_fe), sea ice skin drag coefficients (drag_s) and total drag coefficients (drag_TOT; the sum of the previous 4). It also contains the data distribution (data_dist), longitude (lon), latitude (lat), average obstacle heights (H_e) and obstacle spacings (x_e). All data variables are gridded onto a 25 km polar stereographic grid and are thus stored as matrices. Longitude and latitude matrices contain one extra row and column for python pcolormesh(shading='flat') compatibility. ...