Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis (doi:10.18419/darus-807)

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Document Description

Citation

Title:

Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis

Identification Number:

doi:10.18419/darus-807

Distributor:

DaRUS

Date of Distribution:

2021-05-14

Version:

1

Bibliographic Citation:

Yi, Shuang; Sneeuw, Nico, 2021, "Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis", https://doi.org/10.18419/darus-807, DaRUS, V1

Study Description

Citation

Title:

Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis

Identification Number:

doi:10.18419/darus-807

Authoring Entity:

Yi, Shuang (Universität Stuttgart)

Sneeuw, Nico (Universität Stuttgart)

Distributor:

DaRUS

Access Authority:

Yi, Shuang

Depositor:

Schlesinger, Ron

Date of Deposit:

2020-05-12

Holdings Information:

https://doi.org/10.18419/darus-807

Study Scope

Keywords:

Earth and Environmental Sciences, GRACE, satellite gravimetry, data gap, SSA, gap filling

Abstract:

Dozens of missing epochs in the monthly gravity product of the satellite mission Gravity Recovery and Climate Experiment (<a href="https://earth.gsfc.nasa.gov/geo/missions/grace">GRACE</a>) and its follow-on (<a href="https://gracefo.jpl.nasa.gov/">GRACE-FO</a>) 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. <br /> 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. <br /> The code to generate the dataset is located in the “code_share/“ folder, with an example for C30. <br /> The model-based Greenland mass balance result for data validation (results given in the paper) is provided in the "Greenland_SMB-D.txt” file.

Methodology and Processing

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Related Publications

Citation

Title:

Shuang Yi, Nico Sneeuw. "Filling the data gaps within GRACE missions using Singular Spectrum Analysis". Journal of Geophysical Research: Solid earth, 126, e2020JB021227

Identification Number:

10.1029/2020JB021227

Bibliographic Citation:

Shuang Yi, Nico Sneeuw. "Filling the data gaps within GRACE missions using Singular Spectrum Analysis". Journal of Geophysical Research: Solid earth, 126, e2020JB021227

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Greenland_SMB-D.txt

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example_C30.mat

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application/matlab-mat

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fun_SSA_filling_a.m

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text/x-matlab

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fun_SSA_filling_b.m

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text/x-matlab

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main_SSA_gap_filling.m

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readme.txt

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ssa_missing_iterative.m

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