Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis
Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment ( GRACE ) and its follow-on ( GRACE-FO ) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this problem, a genera...
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ftustuttdatavers:doi:10.18419/darus-807 2024-01-07T09:43:40+01:00 Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis Yi, Shuang Sneeuw, Nico Schlesinger, Ron 2021-05-14 https://doi.org/10.18419/darus-807 unknown DaRUS https://doi.org/10.18419/darus-807 Earth and Environmental Sciences GRACE satellite gravimetry data gap SSA gap filling 2021 ftustuttdatavers https://doi.org/10.18419/darus-807 2023-12-10T23:54:27Z Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment ( GRACE ) and its follow-on ( GRACE-FO ) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this problem, a general all-purpose gap-filling solution is still lacking. Here we propose a non-parametric, data-adaptive and easy-to-implement approach - composed of the Singular Spectrum Analysis (SSA) gap-filling technique, cross-validation, and spectral testing for significant components - to produce reasonable gap-filling results in the form of spherical harmonic coefficients (SHCs). We demonstrate that this approach is adept at inferring missing data from long-term and oscillatory changes extracted from available observations. A comparison in the spectral domain reveals that the gap-filling result resembles the product of GRACE missions below spherical harmonic degree 30 very well. As the degree increases above 30, the amplitude per degree of the gap-filling result decreases more rapidly than that of GRACE/GRACE-FO SHCs, showing effective suppression of noise. As a result, our approach can reduce noise in the oceans without sacrificing resolutions on land. The gap filling dataset is stored in the “SSA_filing/" folder. Each file represents a monthly result in the form of spherical harmonics. The data format follows the convention of the site ftp://isdcftp.gfz-potsdam.de/grace/. Low degree corrections (degree-1, C20, C30) have been made. The code to generate the dataset is located in the “code_share/“ folder, with an example for C30. The model-based Greenland mass balance result for data validation (results given in the paper) is provided in the "Greenland_SMB-D.txt” file. Other/Unknown Material Greenland DaRUS (University of Stuttgart) Greenland |
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Earth and Environmental Sciences GRACE satellite gravimetry data gap SSA gap filling |
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Earth and Environmental Sciences GRACE satellite gravimetry data gap SSA gap filling Yi, Shuang Sneeuw, Nico Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
topic_facet |
Earth and Environmental Sciences GRACE satellite gravimetry data gap SSA gap filling |
description |
Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment ( GRACE ) and its follow-on ( GRACE-FO ) mission greatly inhibit the complete analysis and full utilization of the data. Despite previous attempts to handle this problem, a general all-purpose gap-filling solution is still lacking. Here we propose a non-parametric, data-adaptive and easy-to-implement approach - composed of the Singular Spectrum Analysis (SSA) gap-filling technique, cross-validation, and spectral testing for significant components - to produce reasonable gap-filling results in the form of spherical harmonic coefficients (SHCs). We demonstrate that this approach is adept at inferring missing data from long-term and oscillatory changes extracted from available observations. A comparison in the spectral domain reveals that the gap-filling result resembles the product of GRACE missions below spherical harmonic degree 30 very well. As the degree increases above 30, the amplitude per degree of the gap-filling result decreases more rapidly than that of GRACE/GRACE-FO SHCs, showing effective suppression of noise. As a result, our approach can reduce noise in the oceans without sacrificing resolutions on land. The gap filling dataset is stored in the “SSA_filing/" folder. Each file represents a monthly result in the form of spherical harmonics. The data format follows the convention of the site ftp://isdcftp.gfz-potsdam.de/grace/. Low degree corrections (degree-1, C20, C30) have been made. The code to generate the dataset is located in the “code_share/“ folder, with an example for C30. The model-based Greenland mass balance result for data validation (results given in the paper) is provided in the "Greenland_SMB-D.txt” file. |
author2 |
Schlesinger, Ron |
author |
Yi, Shuang Sneeuw, Nico |
author_facet |
Yi, Shuang Sneeuw, Nico |
author_sort |
Yi, Shuang |
title |
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
title_short |
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
title_full |
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
title_fullStr |
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
title_full_unstemmed |
Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis |
title_sort |
data for: filling the data gaps within grace missions using singular spectrum analysis |
publisher |
DaRUS |
publishDate |
2021 |
url |
https://doi.org/10.18419/darus-807 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
https://doi.org/10.18419/darus-807 |
op_doi |
https://doi.org/10.18419/darus-807 |
_version_ |
1787424952839831552 |