Sermilik, Greenland 3D iceberg data, summer 2017 ...
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....
Main Authors: | , , , |
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Format: | Dataset |
Language: | English |
Published: |
NSF Arctic Data Center
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.18739/a22v2cb5m https://arcticdata.io/catalog/view/doi:10.18739/A22V2CB5M |
Summary: | 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 summer of 2017 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 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 distribution of this freshwater have been challenging to quantify ... |
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