Surface heights over a traverse route from S16 to Dome Fuji, East Antarctica as measured by kinematic GNSS surveys in 2012–2013 and 2018–2019
Kinematic global navigation satellite system (GNSS) measurements provide in-situ data that are crucial for detecting subtle changes in the surface height of glaciers and ice sheets. Owing to their accuracy, which is typically less than half a meter, surface heights derived from kinematic GNSS survey...
Format: | Article in Journal/Newspaper |
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Language: | English |
Published: |
National Institute of Polar Research
2021
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Subjects: | |
Online Access: | http://id.nii.ac.jp/1434/00000033/ https://pdr.repo.nii.ac.jp/?action=repository_uri&item_id=48 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=48&item_no=1&attribute_id=22&file_no=1 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=48&item_no=1&attribute_id=22&file_no=2 https://pdr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=48&item_no=1&attribute_id=22&file_no=3 |
Summary: | Kinematic global navigation satellite system (GNSS) measurements provide in-situ data that are crucial for detecting subtle changes in the surface height of glaciers and ice sheets. Owing to their accuracy, which is typically less than half a meter, surface heights derived from kinematic GNSS surveys are both valuable and essential for evaluating changes in geometry of glaciers and for assessing satellite altimetry. Here, we present a surface height dataset derived from kinematic GNSS measurements covering a horizontal distance of approximately 1,200 km along an inland traverse route in East Antarctica from a coastal point near Syowa Station and Dome Fuji. More than 1,750,000 GNSS survey data points were processed and saved in CSV format. Based on our error analysis, the accuracy of the height data is less than 0.4 m in the vertical direction. This dataset can be used to investigate surface height changes by comparing it with other datasets obtained in the past, as well as those from future remote sensing and in-situ observations. |
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