Pine Island Glacier, Swett Glacier, etc. are distributed in the basins of the Antarctic Ice Sheet 21 and 22, which is one of the areas with the most severe melting in the Southwest Antarctica. This dataset first uses Cryosat-2 data (August 2010 to October 2018) to establish a plane equation in each regular grid, taking into account terrain items, seasonal fluctuations, backscattering coefficients, wave front width, lifting rails and other factors, and calculates the elevation change of ice cover surface in the grid through least square regression. In addition, we used ICESat-2 data (October 2018 to December 2020) to calculate the surface elevation change during the two periods by obtaining the elevation difference at the intersection of satellite lifting orbits in each regular grid. The spatial resolution of surface elevation change data in two periods is 5km × 5km, the file format is GeoTIFF, the projection coordinate is polar stereo projection (EPSG 3031), and it is named by the name of the satellite altimetry data used. The data can be opened using ArcMap, QGIS and other software. The results show that the average elevation change rate of the region from 2010 to 2018 is -0.34 ± 0.08m/yr, which belongs to the area with severe melting. The annual average elevation change rate from October 2018 to November 2020 is -0.38 ± 0.06m/yr, which is in an intensified state compared with CryoSat-2 calculation results.

File naming and required software

The dataset is named by the satellite altimetry data name. It contains two grid files. The spatial resolution of grid file is 5km × 5km, the projection coordinate is polar stereo projection (EPSG 3031). For CryoSat-2 radar altimeter data, in each regular grid, a plane equation is established considering terrain term, seasonal fluctuation, backscattering coefficient, wave front width, lifting rails and other factors, and the change of ice cover surface elevation in the grid is calculated by least square regression. For ICESat-2 data, the elevation difference at the intersection of satellite ascending and descending orbits in two periods is obtained in each regular grid, and then the surface elevation change of the ice sheet in this period is calculated.

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Cite as:

Yang, B., Huang, H., Liang, S., Li, X. (2022). An elevation change dataset in typical drainages of Antarctica ice sheet (2010-2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272871. CSTR: 18406.11.Cryos.tpdc.272871. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Smith, B., Fricker, H. A., Gardner, A., Siegfried, M.R., Adusumilli, S., Csathó, B. M., Holschuh, N., Nilsson, J., Paolo, F.S., & the ICESat-2 Science Team. (2020). ATLAS/ICESat-2 L3A Land Ice Height, Version 3. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/ATLAS/ATL06.003.( View Details | Bibtex)

2. Krishfield, R., Kurtz, N., Farrell, S., & Davidson, M. (2013). CryoSat-2 estimates of Arctic sea ice thickness and volume, Geophysical Research Letters, 40, doi:10.1002/grl.50193.( 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)

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