Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information
In this study the feasibility and performance of time variable decorrelation (VADER) filters derived from covariance information on decadal Gravity Recovery and Climate Experiment (GRACE) time series are investigated. The VADER filter is based on publicly available data that are provided by several...
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ftmdpi:oai:mdpi.com:/2076-3263/8/9/323/ 2023-08-20T04:01:58+02:00 Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information Alexander Horvath Michael Murböck Roland Pail Martin Horwath agris 2018-08-29 application/pdf https://doi.org/10.3390/geosciences8090323 EN eng Multidisciplinary Digital Publishing Institute Geophysics https://dx.doi.org/10.3390/geosciences8090323 https://creativecommons.org/licenses/by/4.0/ Geosciences; Volume 8; Issue 9; Pages: 323 GRACE gravity decorrelation filter post-processing Text 2018 ftmdpi https://doi.org/10.3390/geosciences8090323 2023-07-31T21:42:02Z In this study the feasibility and performance of time variable decorrelation (VADER) filters derived from covariance information on decadal Gravity Recovery and Climate Experiment (GRACE) time series are investigated. The VADER filter is based on publicly available data that are provided by several GRACE processing centers, and does not need its own Level-2 processing chain. Numerical closed loop simulations, incorporating stochastic and deterministic error budgets, serve as basis for the design of the filter setup, and the resulting filters are subsequently applied for real data processing. The closed loop experiments demonstrate the impact of temporally varying error and signal covariance matrices that are used for the design of decorrelation filters. The results indicate an average reduction of cumulative geoid height errors of 15% using time-variable instead of static decorrelation. Based on the simulation experience, a real data filtering procedure is designed and set up. It is applied to the ITSG-Grace2014 time variable gravity field time series with its associated full monthly covariance matrices. To assess the validity of the approach, linear mass trend estimates for the Antarctic Peninsula are computed using VADER filters and compared to previous estimates from both, GRACE and other mass balance estimation techniques. The mass change results obtained show very good agreement with other estimates and are robust against variations of the filter strength. The DDK decorrelation filter serves as main benchmark for the assessment of the VADER filter. For comparable filter strengths the VADER filters achieve a better de-striping and deliver smaller formal errors than static filters like the DDK. Text Antarc* Antarctic Antarctic Peninsula MDPI Open Access Publishing Antarctic The Antarctic Antarctic Peninsula Geosciences 8 9 323 |
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MDPI Open Access Publishing |
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English |
topic |
GRACE gravity decorrelation filter post-processing |
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GRACE gravity decorrelation filter post-processing Alexander Horvath Michael Murböck Roland Pail Martin Horwath Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
topic_facet |
GRACE gravity decorrelation filter post-processing |
description |
In this study the feasibility and performance of time variable decorrelation (VADER) filters derived from covariance information on decadal Gravity Recovery and Climate Experiment (GRACE) time series are investigated. The VADER filter is based on publicly available data that are provided by several GRACE processing centers, and does not need its own Level-2 processing chain. Numerical closed loop simulations, incorporating stochastic and deterministic error budgets, serve as basis for the design of the filter setup, and the resulting filters are subsequently applied for real data processing. The closed loop experiments demonstrate the impact of temporally varying error and signal covariance matrices that are used for the design of decorrelation filters. The results indicate an average reduction of cumulative geoid height errors of 15% using time-variable instead of static decorrelation. Based on the simulation experience, a real data filtering procedure is designed and set up. It is applied to the ITSG-Grace2014 time variable gravity field time series with its associated full monthly covariance matrices. To assess the validity of the approach, linear mass trend estimates for the Antarctic Peninsula are computed using VADER filters and compared to previous estimates from both, GRACE and other mass balance estimation techniques. The mass change results obtained show very good agreement with other estimates and are robust against variations of the filter strength. The DDK decorrelation filter serves as main benchmark for the assessment of the VADER filter. For comparable filter strengths the VADER filters achieve a better de-striping and deliver smaller formal errors than static filters like the DDK. |
format |
Text |
author |
Alexander Horvath Michael Murböck Roland Pail Martin Horwath |
author_facet |
Alexander Horvath Michael Murböck Roland Pail Martin Horwath |
author_sort |
Alexander Horvath |
title |
Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
title_short |
Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
title_full |
Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
title_fullStr |
Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
title_full_unstemmed |
Decorrelation of GRACE Time Variable Gravity Field Solutions Using Full Covariance Information |
title_sort |
decorrelation of grace time variable gravity field solutions using full covariance information |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/geosciences8090323 |
op_coverage |
agris |
geographic |
Antarctic The Antarctic Antarctic Peninsula |
geographic_facet |
Antarctic The Antarctic Antarctic Peninsula |
genre |
Antarc* Antarctic Antarctic Peninsula |
genre_facet |
Antarc* Antarctic Antarctic Peninsula |
op_source |
Geosciences; Volume 8; Issue 9; Pages: 323 |
op_relation |
Geophysics https://dx.doi.org/10.3390/geosciences8090323 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/geosciences8090323 |
container_title |
Geosciences |
container_volume |
8 |
container_issue |
9 |
container_start_page |
323 |
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1774712354120925184 |