Four decades of Antarctic surface elevation changes from multi-mission satellite altimetry

We developed a multi-mission satellite altimetry analysis over the Antarctic Ice Sheet which comprises Seasat, Geosat, ERS-1, ERS-2, Envisat, ICESat and CryoSat-2. After a consistent reprocessing and a stepwise calibration of the inter-mission offsets, we obtained monthly grids of multi-mission surf...

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Bibliographic Details
Published in:The Cryosphere
Main Authors: Schröder, Ludwig, Horwath, Martin, Dietrich, Reinhard, Helm, Veit, Broeke, Michiel R., Ligtenberg, Stefan R. M.
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/tc-13-427-2019
https://tc.copernicus.org/articles/13/427/2019/
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Summary:We developed a multi-mission satellite altimetry analysis over the Antarctic Ice Sheet which comprises Seasat, Geosat, ERS-1, ERS-2, Envisat, ICESat and CryoSat-2. After a consistent reprocessing and a stepwise calibration of the inter-mission offsets, we obtained monthly grids of multi-mission surface elevation change (SEC) with respect to the reference epoch 09/2010 (in the format of month/year) from 1978 to 2017. A validation with independent elevation changes from in situ and airborne observations as well as a comparison with a firn model proves that the different missions and observation modes have been successfully combined to a seamless multi-mission time series. For coastal East Antarctica, even Seasat and Geosat provide reliable information and, hence, allow for the analysis of four decades of elevation changes. The spatial and temporal resolution of our result allows for the identification of when and where significant changes in elevation occurred. These time series add detailed information to the evolution of surface elevation in such key regions as Pine Island Glacier, Totten Glacier, Dronning Maud Land or Lake Vostok. After applying a density mask, we calculated time series of mass changes and found that the Antarctic Ice Sheet north of 81.5 ∘ S was losing mass at an average rate of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">85</mn><mo>±</mo><mn mathvariant="normal">16</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="51341af97eb1b7f9a390e89353c0da64"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-427-2019-ie00001.svg" width="46pt" height="10pt" src="tc-13-427-2019-ie00001.png"/></svg:svg> Gt yr −1 between 1992 and 2017, which accelerated to <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">137</mn><mo>±</mo><mn mathvariant="normal">25</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="5fe80869220ed8da3639b6da27b5db8d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-427-2019-ie00002.svg" width="52pt" height="10pt" src="tc-13-427-2019-ie00002.png"/></svg:svg> Gt yr −1 after 2010.