AKROSS 2022 Cambridge Bay Dataset

• Main Authors: Meloche, Julien, Sandells, Melody, Rutter, Nick, Löwe, Henning, Scharien, Randall K., Essery, Richard, Jaggi, Matthias
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2024
• Subjects: Sea ice; Snow; Cambridge Bay
• Online Access: https://doi.org/10.5281/zenodo.11205157

The dataset includes field observations of snow on sea ice in Cambridge Bay in April 2022. The Dataset is link to the paper : (add DOI). 4 study site were done in 4 days and matches CryoSAT-2 observations. Data includes: Traditional Pit data Snow MicroPenetrometer Salinity Micro-CT IceCube Roughness Magnaprobe (snow depth) Ice thickness DGPS observation of the ice surface At each study site, surface roughness (sea ice and snow surfaces) and vertical profiles of snow properties were measured at the centre point of 1 km snow depth transects running in N-S and E-W cardinal directions. Vertical profiles of snow density, temperature, salinity and stratigraphy in snow pits were enhanced by microstructural measurements using an IceCube, a snow micropenetrometer and x-ray tomography (micro-CT) of snow and near-surface sea ice. Photogrammetric methods were used at each study site to assess surface roughness of the snow-air and sea ice-snow interfaces over areas of approximately 2-4 m2. Finally, sea ice thickness from manual drill holes was measured at each sites AK1-4.