Both a decrease of sea ice and an increase of surface meltwater, which may induce ice-flow speedup and frontal collapse, have a significant impact on the stability of the floating ice shelf in Greenland. However, detailed dynamic precursors and drivers prior to a fast-calving process remain unclear due to sparse remote sensing observations. Here, we present a comprehensive investigation on hydrological and kinematic precursors before the calving event on 26 July 2017 of Petermann Glacier in northern Greenland, by jointly using remote sensing observations at high-temporal resolution and an ice-flow model. Time series of ice-flow velocity fields during July 2017 were retrieved with Sentinel-2 observations with a sub-weekly sampling interval. The ice-flow speed quickly reached 30 m/d on 26 July (the day before the calving), which is roughly 10 times quicker than the mean glacier velocity.

File naming and required software

File name: Greenland Peterman Glacier Disintegration Event Observation is stored in file format. The file name is "Sentine2A_T21XVK_yyyymmdd_T21XVK_yyyymmdd", where yyyy represents year and mmdd represents date. E.g. Sentine2A_ T21XVK_ 20170708_ T21XVK_ 20170713 represents the flow velocity of Peterman Glacier from July 8, 2017 to July 13, 2017 described in this document.
Data reading method: All files in the dataset can be directly opened with Arcgis, etc.

Data Citations Data citation guideline What's data citation?

Cite as:

Jiang, L. (2022). Observation of the 2017 Calving Event at the Petermann Glacier in Greenland (2017). A Big Earth Data Platform for Three Poles, DOI: https://doi.org/10.3390/ rs13040591. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Li, D., Jiang, L., & Huang, R. (2021). Hydrological and Kinematic Precursors of the 2017 Calving Event at the Petermann Glacier in Greenland Observed from Multi-Source Remote Sensing Data. Remote Sens, 13, 591. https://doi.org/10.3390/ rs13040591( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070104) [XDA19070104]

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)