{"dcterms:modified":"2023-12-08","dcterms:creator":"DaRUS","@type":"ore:ResourceMap","@id":"https://nfldevdataverse2.rus.uni-stuttgart.de/api/datasets/export?exporter=OAI_ORE&persistentId=https://doi.org/10.18419/darus-807","ore:describes":{"citation:keyword":[{"citation:keywordValue":"GRACE","citation:keywordVocabulary":"Wikidata","citation:keywordVocabularyURI":"https://www.wikidata.org/wiki/Q704319"},{"citation:keywordValue":"satellite gravimetry"},{"citation:keywordValue":"data gap"},{"citation:keywordValue":"SSA","citation:keywordVocabulary":"Wikidata","citation:keywordVocabularyURI":"https://www.wikidata.org/wiki/Q4048889"},{"citation:keywordValue":"gap filling"}],"author":[{"citation:authorName":"Yi, Shuang","citation:authorAffiliation":"Universität Stuttgart","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0003-2976-2351"},{"citation:authorName":"Sneeuw, Nico","citation:authorAffiliation":"Universität Stuttgart","authorIdentifierScheme":"ORCID","authorIdentifier":"0000-0003-1796-0131"}],"citation:dsDescription":{"citation:dsDescriptionValue":"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.
\r\nThe 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."},"citation:datasetContact":{"citation:datasetContactName":"Yi, Shuang","citation:datasetContactAffiliation":"Universität Stuttgart"},"dateOfDeposit":"2020-05-12","title":"Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis","citation:depositor":"Schlesinger, Ron","subject":"Earth and Environmental Sciences","publication":{"publicationCitation":"Shuang Yi, Nico Sneeuw. \"Filling the data gaps within GRACE missions using Singular Spectrum Analysis\". Journal of Geophysical Research: Solid earth, 126, e2020JB021227","publicationIDType":"doi","publicationIDNumber":"10.1029/2020JB021227","publicationURL":"https://doi.org/10.1029/2020JB021227"},"process:processMethodsPar":[{"process:processMethodsParName":"window size for SSA-filling-a","process:processMethodsParSymbol":"MM","process:processMethodsParValue":"24","process:processMethodsParUnit":"month"},{"process:processMethodsParName":"maximum number of RCs for SSA-filling-a","process:processMethodsParSymbol":"KK","process:processMethodsParValue":"10","process:processMethodsParUnit":"none"},{"process:processMethodsParName":"range of window size for SSA-filling-b","process:processMethodsParSymbol":"Mlist","process:processMethodsParValue":"96","process:processMethodsParUnit":"month"},{"process:processMethodsParName":"range of maximum number of RCs for SSA-filling-b","process:processMethodsParSymbol":"Klist","process:processMethodsParValue":"12","process:processMethodsParUnit":"none"}],"process:processMethods":{"processMethodsName":"Code for 'Filling the data gaps within GRACE missions using Singular Spectrum Analysis’","process:processMethodsPars":"window size, maximum number of RCs","process:processMethodsDescription":"The code consists of two parts. “SSA-filling-a”, which only fills the gaps with id==3, needs two parameters, MM and KK. “SSA-filling-b”, which fills the residual gaps (id==4), also needs two parameter ranges, Mlist and Klist, and the optimal parameters will be searched within these ranges. If the readers want to apply the code to their own data, please refer to \"example_C30.mat” for the format of the input series. If the dataset has been sampled uniformly (the data gaps are filled by NaN) and there is only one kind of data gaps, then only “SSA-filling-b” is sufficient. The users are advised to refer to the paper for the detailed explanation."},"processSoftware":{"processSoftwareName":"Matlab 2018b"},"@id":"https://doi.org/10.18419/darus-807","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Data for: Filling the data gaps within GRACE missions using Singular Spectrum Analysis","schema:dateModified":"Fri May 14 14:52:38 CEST 2021","schema:datePublished":"2021-05-14","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":false},"schema:includedInDataCatalog":"DaRUS","schema:isPartOf":{"schema:name":"Institute of Geodesy","@id":"https://nfldevdataverse2.rus.uni-stuttgart.de/dataverse/gis","schema:isPartOf":{"schema:name":"DaRUS","@id":"https://nfldevdataverse2.rus.uni-stuttgart.de/dataverse/darus","schema:description":"This is the data Repository of the University of 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