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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Bibliographic Details
Main Authors: Yi, Shuang, Sneeuw, Nico
Other Authors: Schlesinger, Ron
Format: Dataset
Language:unknown
Published: DaRUS 2021
Subjects:
Online Access:https://doi.org/10.18419/darus-807
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author Yi, Shuang
Sneeuw, Nico
author2 Schlesinger, Ron
author_facet Yi, Shuang
Sneeuw, Nico
author_sort Yi, Shuang
collection DaRUS (University of Stuttgart)
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.
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spelling ftustuttdatavers:doi:10.18419/darus-807 2025-01-16T22:13:23+00:00 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 Earth and Environmental Sciences GRACE satellite gravimetry data gap SSA gap filling Dataset 2021 ftustuttdatavers https://doi.org/10.18419/darus-807 2024-11-15T00:44:27Z 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. Dataset Greenland DaRUS (University of Stuttgart) Greenland
spellingShingle 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
title 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_short 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
topic Earth and Environmental Sciences
GRACE
satellite gravimetry
data gap
SSA
gap filling
topic_facet Earth and Environmental Sciences
GRACE
satellite gravimetry
data gap
SSA
gap filling
url https://doi.org/10.18419/darus-807