ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA

An assessment of Antarctic ice sheet surface mass balance from 2003 to 2015 has been carried out using a combination of ICESat data from 2003 to 2009 and CryoSat-2 data from 2010 to 2015. Both data sets are of L2 and are currently processed separately using different models. First, a repeat-track pr...

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Published in:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: Xie, Huan, Hai, Gang, Chen, Lei, Liu, Shijie, Liu, Jun, Tong, Xiaohua, Li, Rongxing
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/549/2016/
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spelling ftcopernicus:oai:publications.copernicus.org:isprs-archives53296 2023-05-15T13:43:09+02:00 ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA Xie, Huan Hai, Gang Chen, Lei Liu, Shijie Liu, Jun Tong, Xiaohua Li, Rongxing 2018-01-15 application/pdf https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/549/2016/ eng eng doi:10.5194/isprs-archives-XLI-B8-549-2016 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/549/2016/ eISSN: 2194-9034 Text 2018 ftcopernicus https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016 2019-12-24T09:52:12Z An assessment of Antarctic ice sheet surface mass balance from 2003 to 2015 has been carried out using a combination of ICESat data from 2003 to 2009 and CryoSat-2 data from 2010 to 2015. Both data sets are of L2 and are currently processed separately using different models. First, a repeat-track processing method that includes terms accounting for the trend and the first order fit of topography is applied to repeat-track measurements of all ICESat Campaigns. It uses the Least Squares fitting of the model to all observations in a box of 500 m x 500 m. The estimated trends in these boxes are then averaged inside a 30 km x 30 km cell. Similarly, the cells are used to estimate basin and ice sheet level surface elevation change trends. Mass balance calculating is performed at the cell level by multiplying the ice density by the volume change and then extended to the basin and the ice sheet level. Second, in CryoSat-2 data processing we applied a model within a cell of 5 km x 5 km considering that CryoSat-2 does not maintain repeated tracks. In this model the elevation trend, and a higher order topography are solved in an iterative way using the least squares technique. The mass change is computed at the cell level in the same way as the ICESat data. GIA correction is applied for both ICESat and CryoSat-2 estimates. Detailed information about the data processing, elevation and mass balance changes, and comparison with other studies will be introduced. Text Antarc* Antarctic Ice Sheet Copernicus Publications: E-Journals Antarctic The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 549 553
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description An assessment of Antarctic ice sheet surface mass balance from 2003 to 2015 has been carried out using a combination of ICESat data from 2003 to 2009 and CryoSat-2 data from 2010 to 2015. Both data sets are of L2 and are currently processed separately using different models. First, a repeat-track processing method that includes terms accounting for the trend and the first order fit of topography is applied to repeat-track measurements of all ICESat Campaigns. It uses the Least Squares fitting of the model to all observations in a box of 500 m x 500 m. The estimated trends in these boxes are then averaged inside a 30 km x 30 km cell. Similarly, the cells are used to estimate basin and ice sheet level surface elevation change trends. Mass balance calculating is performed at the cell level by multiplying the ice density by the volume change and then extended to the basin and the ice sheet level. Second, in CryoSat-2 data processing we applied a model within a cell of 5 km x 5 km considering that CryoSat-2 does not maintain repeated tracks. In this model the elevation trend, and a higher order topography are solved in an iterative way using the least squares technique. The mass change is computed at the cell level in the same way as the ICESat data. GIA correction is applied for both ICESat and CryoSat-2 estimates. Detailed information about the data processing, elevation and mass balance changes, and comparison with other studies will be introduced.
format Text
author Xie, Huan
Hai, Gang
Chen, Lei
Liu, Shijie
Liu, Jun
Tong, Xiaohua
Li, Rongxing
spellingShingle Xie, Huan
Hai, Gang
Chen, Lei
Liu, Shijie
Liu, Jun
Tong, Xiaohua
Li, Rongxing
ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
author_facet Xie, Huan
Hai, Gang
Chen, Lei
Liu, Shijie
Liu, Jun
Tong, Xiaohua
Li, Rongxing
author_sort Xie, Huan
title ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
title_short ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
title_full ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
title_fullStr ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
title_full_unstemmed ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
title_sort antarctic ice sheet surface mass balance estimates from 2003 to 2015 using icesat and cryosat-2 data
publishDate 2018
url https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/549/2016/
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_source eISSN: 2194-9034
op_relation doi:10.5194/isprs-archives-XLI-B8-549-2016
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/549/2016/
op_doi https://doi.org/10.5194/isprs-archives-XLI-B8-549-2016
container_title The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
container_volume XLI-B8
container_start_page 549
op_container_end_page 553
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