Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models

The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First,...
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Autor*in:	Yu Sun [verfasserIn] Riccardo Riva Pavel Ditmar

Format:	Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Trends Estimates

Übergeordnetes Werk:	Enthalten in: Journal of geophysical research / B - Washington, DC : Union, 1978, 121(2016), 11, Seite 8352
Übergeordnetes Werk:	volume:121 ; year:2016 ; number:11 ; pages:8352

Links:	Volltext Link aufrufen

DOI / URN:	10.1002/2016JB013073

Katalog-ID:	OLC1988479983

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520			\|a The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First, we conduct an end-to-end numerical simulation study. We generate input time-variable gravity field observations by perturbing a synthetic Earth model with realistically simulated errors. We show that it is important to avoid large errors at short wavelengths and signal leakage from land to ocean, as well as to account for self-attraction and loading effects. Second, the optimal implementation strategy is applied to real GRACE data. We show that the estimates of annual amplitude in geocenter motion are in line with estimates from other techniques, such as satellite laser ranging (SLR) and global GPS inversion. At the same time, annual amplitudes of C10 and C11 are increased by about 50% and 20%, respectively, compared to estimates based on Swenson et al. (2008). Estimates of J2 variations are by about 15% larger than SLR results in terms of annual amplitude. Linear trend estimates are dependent on the adopted GIA model but still comparable to some SLR results. Key Points The GRACE-OBP method of estimating geocenter motion and J2 is evaluated by means of an end-to-end numerical study Implementation details of this method are optimized for estimating annual variations and trend of geocenter motion and J2 time series Study explains past discrepancies between the results of GRACE-OBP and SLR method, allowing for an elimination of them to a large extent
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spelling	10.1002/2016JB013073 doi PQ20170206 (DE-627)OLC1988479983 (DE-599)GBVOLC1988479983 (PRQ)p528-e7c8c6eaeaacb465d1b341f0f8d5f4e9fc985a15ecf11eadb10a9eabe5f0e5f40 (KEY)0108436420160000121001108352optimizingestimatesofannualvariationsandtrendsinge DE-627 ger DE-627 rakwb eng 550 DNB 38.70 bkl Yu Sun verfasserin aut Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First, we conduct an end-to-end numerical simulation study. We generate input time-variable gravity field observations by perturbing a synthetic Earth model with realistically simulated errors. We show that it is important to avoid large errors at short wavelengths and signal leakage from land to ocean, as well as to account for self-attraction and loading effects. Second, the optimal implementation strategy is applied to real GRACE data. We show that the estimates of annual amplitude in geocenter motion are in line with estimates from other techniques, such as satellite laser ranging (SLR) and global GPS inversion. At the same time, annual amplitudes of C10 and C11 are increased by about 50% and 20%, respectively, compared to estimates based on Swenson et al. (2008). Estimates of J2 variations are by about 15% larger than SLR results in terms of annual amplitude. Linear trend estimates are dependent on the adopted GIA model but still comparable to some SLR results. Key Points The GRACE-OBP method of estimating geocenter motion and J2 is evaluated by means of an end-to-end numerical study Implementation details of this method are optimized for estimating annual variations and trend of geocenter motion and J2 time series Study explains past discrepancies between the results of GRACE-OBP and SLR method, allowing for an elimination of them to a large extent Trends Estimates Riccardo Riva oth Pavel Ditmar oth Enthalten in Journal of geophysical research / B Washington, DC : Union, 1978 121(2016), 11, Seite 8352 (DE-627)129366382 (DE-600)161666-3 (DE-576)014740451 0148-0227 nnns volume:121 year:2016 number:11 pages:8352 http://dx.doi.org/10.1002/2016JB013073 Volltext http://search.proquest.com/docview/1850413497 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_2027 GBV_ILN_2279 38.70 AVZ AR 121 2016 11 8352
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title	Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models
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title_full	Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models
author_sort	Yu Sun
journal	Journal of geophysical research / B
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author_browse	Yu Sun
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author-letter	Yu Sun
doi_str_mv	10.1002/2016JB013073
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title_sort	optimizing estimates of annual variations and trends in geocenter motion and j2 from a combination of grace data and geophysical models
title_auth	Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models
abstract	The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First, we conduct an end-to-end numerical simulation study. We generate input time-variable gravity field observations by perturbing a synthetic Earth model with realistically simulated errors. We show that it is important to avoid large errors at short wavelengths and signal leakage from land to ocean, as well as to account for self-attraction and loading effects. Second, the optimal implementation strategy is applied to real GRACE data. We show that the estimates of annual amplitude in geocenter motion are in line with estimates from other techniques, such as satellite laser ranging (SLR) and global GPS inversion. At the same time, annual amplitudes of C10 and C11 are increased by about 50% and 20%, respectively, compared to estimates based on Swenson et al. (2008). Estimates of J2 variations are by about 15% larger than SLR results in terms of annual amplitude. Linear trend estimates are dependent on the adopted GIA model but still comparable to some SLR results. Key Points The GRACE-OBP method of estimating geocenter motion and J2 is evaluated by means of an end-to-end numerical study Implementation details of this method are optimized for estimating annual variations and trend of geocenter motion and J2 time series Study explains past discrepancies between the results of GRACE-OBP and SLR method, allowing for an elimination of them to a large extent
abstractGer	The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First, we conduct an end-to-end numerical simulation study. We generate input time-variable gravity field observations by perturbing a synthetic Earth model with realistically simulated errors. We show that it is important to avoid large errors at short wavelengths and signal leakage from land to ocean, as well as to account for self-attraction and loading effects. Second, the optimal implementation strategy is applied to real GRACE data. We show that the estimates of annual amplitude in geocenter motion are in line with estimates from other techniques, such as satellite laser ranging (SLR) and global GPS inversion. At the same time, annual amplitudes of C10 and C11 are increased by about 50% and 20%, respectively, compared to estimates based on Swenson et al. (2008). Estimates of J2 variations are by about 15% larger than SLR results in terms of annual amplitude. Linear trend estimates are dependent on the adopted GIA model but still comparable to some SLR results. Key Points The GRACE-OBP method of estimating geocenter motion and J2 is evaluated by means of an end-to-end numerical study Implementation details of this method are optimized for estimating annual variations and trend of geocenter motion and J2 time series Study explains past discrepancies between the results of GRACE-OBP and SLR method, allowing for an elimination of them to a large extent
abstract_unstemmed	The focus of the study is optimizing the technique for estimating geocenter motion and variations in J2 by combining data from the Gravity Recovery and Climate Experiment (GRACE) satellite mission with output from an Ocean Bottom Pressure model and a Glacial Isostatic Adjustment (GIA) model. First, we conduct an end-to-end numerical simulation study. We generate input time-variable gravity field observations by perturbing a synthetic Earth model with realistically simulated errors. We show that it is important to avoid large errors at short wavelengths and signal leakage from land to ocean, as well as to account for self-attraction and loading effects. Second, the optimal implementation strategy is applied to real GRACE data. We show that the estimates of annual amplitude in geocenter motion are in line with estimates from other techniques, such as satellite laser ranging (SLR) and global GPS inversion. At the same time, annual amplitudes of C10 and C11 are increased by about 50% and 20%, respectively, compared to estimates based on Swenson et al. (2008). Estimates of J2 variations are by about 15% larger than SLR results in terms of annual amplitude. Linear trend estimates are dependent on the adopted GIA model but still comparable to some SLR results. Key Points The GRACE-OBP method of estimating geocenter motion and J2 is evaluated by means of an end-to-end numerical study Implementation details of this method are optimized for estimating annual variations and trend of geocenter motion and J2 time series Study explains past discrepancies between the results of GRACE-OBP and SLR method, allowing for an elimination of them to a large extent
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container_issue	11
title_short	Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models
url	http://dx.doi.org/10.1002/2016JB013073 http://search.proquest.com/docview/1850413497
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author2	Riccardo Riva Pavel Ditmar
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doi_str	10.1002/2016JB013073
up_date	2024-07-03T18:01:34.332Z
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