Sermilik, Greenland 3D iceberg data, summer 2017-2019 ...

• Main Authors: Schild, Kristin, Sutherland, David, Elosegui, Pedro, Duncan, Daniel
• Format: Dataset
• Language: English
• Published: NSF Arctic Data Center 2021
• Subjects: Icebergs; GPS; Drone; Multibeam; Point cloud; Structure from Motion; Greenland; Sutherland; East Greenland; North Atlantic; Sermilik
• Online Access: https://dx.doi.org/10.18739/a2kp7ts5n; https://arcticdata.io/catalog/view/doi:10.18739/A2KP7TS5N

This dataset is comprised of raw on-iceberg Geographic Positioning System (GPS) data, sound-speed corrected iceberg subsurface multibeam data (not corrected for iceberg movement), and iceberg surface three dimensional (3D) point clouds, constructed using structure from motion (SFM) of drone imagery. Data were collected during the summers of 2017, 2018, and 2019 in Sermilik Fjord, East Greenland. Processing methods for these data are explained in the manuscript 'Measurements of iceberg melt rates using high-resolution GPS and iceberg surface scans' by Kristin M. Schild, David A. Sutherland, Pedro Elosegui and Daniel Duncan, published in Geophysical Research Letters in 2021 (doi: 10.1029/2020GL089765). The abstract and plain language summary (focusing solely on 2 of the 2017 icebergs) for that paper are included below. Abstract Increasing freshwater input to the subpolar North Atlantic through iceberg melting can influence fjord-scale to basin-scale ocean circulation. However, the magnitude, timing, and ...