The Antarctic ice sheet is one of the largest potential sources of global sea level rise. Accurately determining the mass budget of the ice sheet is the key to understand the dynamic changes of the Antarctic ice sheet. It is very important to understand the evolution process of the ice sheet and accurately predict the future global sea level rise. Based on the MEaSUREs Antarctic groundingline and the basin boundaries, we discretize the groundingline, combine the MEaSUREs and RAMP annual ice velocity data from 1985 to 2015 with the BedMachine ice thickness data, and vectorially calculate the ice discharge at each flux gate of the groundingline. We use the surface mass balance data of RACMO2.3p2 model to spatially calculate the surface mass balance of each basin, and combined it with the ice discharge results to obtain the Antarctic ice sheet mass balance data set (1985-2015). The data set includes the mass balance results of each basin of the Antarctic ice sheet in the year 1985, 2000 and 2015, and the annual ice velocity data, ice thickness and annual ice discharge corresponding to the location of each flux gate. The data set realizes the fine evaluation of ice flux at the groundingline, and reflect the changes and spatial distribution characteristics of the mass balance of each basin of the Antarctic ice sheet in recent 30 years. It provides basic data for the subsequent fine change evaluation and prediction of the mass balance of the Antarctic ice sheet and the exploration of the mechanism of ice sheet loss.

File naming and required software

File name:
The corresponding data and ice flux results of each flux outlet unit of the Antarctic ice sheet are stored in CSV format, and the name of the file is "Table1_AIS_Fluxgate_D.csv";
The summary results of ice discharge, surface mass balance and mass balance of each basin of the Antarctic ice sheet are stored in Excel file format, and the file name is "Table2_AIS_basin_MB. xlsx".
Data reading method:
All files in the dataset can be opened directly (such as Notepad and excel). If you want to display them with diagrams, you can use ArcGIS to extract XY coordinate data in table2 and generate corresponding vector point data.

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Cite as:

Lin, Y., Cheng, X. (2021). Antarctic ice sheet mass balance data set (1985-2015). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.271830. CSTR: 18406.11.Cryos.tpdc.271830. (Download the reference： RIS | Bibtex )

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References literature

1.Mouginot, J., Rignot, E., Scheuchl, B., & Millan, R. (2017). Comprehensive annual ice sheet velocity mapping using Landsat-8, Sentinel-1, and RADARSAT-2 data. Remote Sensing, 9(4), 364. (View Details )

2.Rignot, E., Jacobs, S., Mouginot, J., & Scheuchl, B. (2013). Ice-shelf melting around Antarctica. Science, 341(6143), 266-270. (View Details )

3.Morlighem, M., Rignot, E., Binder, T., Blankenship, D., Drews, R., Eagles, G., ... & Young, D. A. (2020). Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nature Geoscience, 13(2), 132-137. (View Details )

4.Jezek, K. C., Farness, K., Carande, R., Wu, X., & Labelle‐Hamer, N. (2003). RADARSAT 1 synthetic aperture radar observations of Antarctica: Modified Antarctic Mapping Mission, 2000. Radio Science, 38(4). (View Details )

5.Rignot, E., Mouginot, J., Scheuchl, B., Van Den Broeke, M., Van Wessem, M. J., & Morlighem, M. (2019). Four decades of Antarctic Ice Sheet mass balance from 1979–2017. Proceedings of the National Academy of Sciences, 116(4), 1095-1103. (View Details )

6.Rignot, E., Mouginot, J., & Scheuchl, B. (2011). Antarctic grounding line mapping from differential satellite radar interferometry. Geophysical Research Letters, 38(10). (View Details )

7.Noël, B., Berg, W. J. V. D., Wessem, J., Meijgaard, E. V., As, D. V., Lenaerts, J., ... & Broeke, M. R. (2018). Modelling the climate and surface mass balance of polar ice sheets using RACMO2–Part 1: Greenland (1958–2016). The Cryosphere, 12(3), 811-831. (View Details )

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