Monthly gridded sea ice surface roughness derived from MISR (Multi-angle Imaging SpectroRadiometer) 2000-2020

This dataset provides a 21 year (2000 - 2020) time series of Arctic sea ice surface roughness at 1km aggregated at a monthly timescale. Roughness is defined as the standard deviation of within-pixel lidar elevations. The data is generated using angular reflectance signatures from MISR processed via a support vector regression model that is trained on airborne near-coincident lidar data from Operation IceBridge. The dataset covers April of each year, providing a pan-Arctic snapshot of springtime sea ice deformation, and is validated against independent pre-IceBridge laser campaigns and CryoSat-2/SMOS thickness data.

Funding was provided by: European Space Agency by project "Polarice" (grant no. ESA/AO/1-9132/17/NL/MP), project "CryoSat + Antarctica" (grant no. ESA AO/1-9156/17/I-BG), project "Polar + Snow" (grant no. ESA AO/1-10061/19/I-EF), and project "ALBATROSS" (ESA-Contract No. 4000134597/21/I-NB) as well as from UK Natural Environment Research Council (NERC) Projects "PRE-MELT" under Grant NE/T000546/1 and "Empowering Our Communities To Map Rough Ice And Slush For Safer Sea-ice Travel In Inuit Nunangat"under Grant NE/X004643/1.