Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels

We derived gravimetric mass change products, i.e., gridded and basin-averaged mass changes, for the Antarctic Ice Sheet (AIS) from time-variable gravity-field solutions acquired by the Gravity Recovery and Climate Experiment (GRACE) mission and its successor GRACE-FO, covering more than 18 years. Fo...

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Published in:Remote Sensing
Main Authors: Andreas Groh, Martin Horwath
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
Online Access:https://doi.org/10.3390/rs13091736
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spelling ftmdpi:oai:mdpi.com:/2072-4292/13/9/1736/ 2023-08-20T04:00:35+02:00 Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels Andreas Groh Martin Horwath agris 2021-04-29 application/pdf https://doi.org/10.3390/rs13091736 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs13091736 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 9; Pages: 1736 Antarctic Ice Sheet mass change GRACE/GRACE-FO sensitivity kernels Text 2021 ftmdpi https://doi.org/10.3390/rs13091736 2023-08-01T01:37:26Z We derived gravimetric mass change products, i.e., gridded and basin-averaged mass changes, for the Antarctic Ice Sheet (AIS) from time-variable gravity-field solutions acquired by the Gravity Recovery and Climate Experiment (GRACE) mission and its successor GRACE-FO, covering more than 18 years. For this purpose, tailored sensitivity kernels (TSKs) were generated for the application in a regional integration approach. The TSKs were inferred in a formal optimization approach minimizing the sum of both propagated mission errors and leakage errors. We accounted for mission errors by means of an empirical error covariance model, while assumptions on signal variances of potential sources of leakage were used to minimize leakage errors. To identify the optimal parameters to be used in the TSK generation, we assessed a set of TSKs by quantifying signal leakage from the processing of synthetic data and by inferring the noise level of the derived basin products. The finally selected TSKs were used to calculate mass change products from GRACE/GRACE-FO Level-2 spherical harmonic solutions covering 2002-04 to 2020-07. These products were compared to external data sets from satellite altimetry and the input–output method. For the period under investigation, the mass balance of the AIS was quantified to be −90.9±43.5 Gt a−1, corresponding to a mean sea-level rise of 0.25±0.12 mm a−1. Text Antarc* Antarctic Ice Sheet MDPI Open Access Publishing Antarctic The Antarctic Remote Sensing 13 9 1736
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Antarctic Ice Sheet
mass change
GRACE/GRACE-FO
sensitivity kernels
spellingShingle Antarctic Ice Sheet
mass change
GRACE/GRACE-FO
sensitivity kernels
Andreas Groh
Martin Horwath
Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
topic_facet Antarctic Ice Sheet
mass change
GRACE/GRACE-FO
sensitivity kernels
description We derived gravimetric mass change products, i.e., gridded and basin-averaged mass changes, for the Antarctic Ice Sheet (AIS) from time-variable gravity-field solutions acquired by the Gravity Recovery and Climate Experiment (GRACE) mission and its successor GRACE-FO, covering more than 18 years. For this purpose, tailored sensitivity kernels (TSKs) were generated for the application in a regional integration approach. The TSKs were inferred in a formal optimization approach minimizing the sum of both propagated mission errors and leakage errors. We accounted for mission errors by means of an empirical error covariance model, while assumptions on signal variances of potential sources of leakage were used to minimize leakage errors. To identify the optimal parameters to be used in the TSK generation, we assessed a set of TSKs by quantifying signal leakage from the processing of synthetic data and by inferring the noise level of the derived basin products. The finally selected TSKs were used to calculate mass change products from GRACE/GRACE-FO Level-2 spherical harmonic solutions covering 2002-04 to 2020-07. These products were compared to external data sets from satellite altimetry and the input–output method. For the period under investigation, the mass balance of the AIS was quantified to be −90.9±43.5 Gt a−1, corresponding to a mean sea-level rise of 0.25±0.12 mm a−1.
format Text
author Andreas Groh
Martin Horwath
author_facet Andreas Groh
Martin Horwath
author_sort Andreas Groh
title Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
title_short Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
title_full Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
title_fullStr Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
title_full_unstemmed Antarctic Ice Mass Change Products from GRACE/GRACE-FO Using Tailored Sensitivity Kernels
title_sort antarctic ice mass change products from grace/grace-fo using tailored sensitivity kernels
publisher Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/rs13091736
op_coverage agris
geographic Antarctic
The Antarctic
geographic_facet Antarctic
The Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_source Remote Sensing; Volume 13; Issue 9; Pages: 1736
op_relation Remote Sensing in Geology, Geomorphology and Hydrology
https://dx.doi.org/10.3390/rs13091736
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs13091736
container_title Remote Sensing
container_volume 13
container_issue 9
container_start_page 1736
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