Along-Orbit Analysis of GRACE Follow-On Inter-Satellite Laser Ranging Measurements for Sub-Monthly Surface Mass Variations

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dc.contributor.authorGhobadi-Far, Khosroen
dc.contributor.authorHan, Shin-Chanen
dc.contributor.authorMcCullough, Christopher M.en
dc.contributor.authorWiese, David N.en
dc.contributor.authorRay, Richard D.en
dc.contributor.authorSauber, Jeanneen
dc.contributor.authorShihora, Linusen
dc.contributor.authorDobslaw, Henryken
dc.date.accessioned2022-08-02T14:57:40Zen
dc.date.available2022-08-02T14:57:40Zen
dc.date.issued2022-02en
dc.description.abstractWe examined the sensitivity of GRACE Follow-On (GRACE-FO) laser ranging interferometer (LRI) measurements to sub-monthly time-variable gravity (TVG) signals caused by transient, high-frequency mass changes in the Earth system. GRACE-FO LRI provides complementary inter-satellite ranging measurements with higher precision over a wider range of frequencies than the baseline K-band microwave ranging system. The common approach for studying mass variation relies on the inverted TVG or mascon solutions over a period of, for example, one month or 10 days which are adversely affected by temporal aliasing and/or smoothing. In this article, we present the alternative along-orbit analysis methodology in terms of line-of-sight gravity difference (LGD) to fully exploit the higher precision LRI measurements for examination of sub-monthly mass changes. The discrepancy between "instantaneous" LGD LRI observations and monthly-mean LGD (from Level-2 data) at satellite altitude indicates the sub-monthly gravitational variability not captured by monthly-mean solutions. In conjunction with the satellite ocean altimetry observations, high-frequency non-tidal atmosphere and ocean models, and hydrology models, we show that the LGD LRI observations detect the high-frequency oceanic mass variability in the Argentine Basin and the Gulf of Carpentaria, and sub-monthly variations in surface (river) water in the Amazon Basin. We demonstrate the benefits gained from repeat ground track analysis of GRACE-FO LRI data in the case of the Amazon surface water flow. The along-orbit analysis methodology based on LGD LRI time series presented here is especially suitable for quantifying temporal and spatial evolution of extreme, rapidly changing mass variations.en
dc.description.notesThis work was funded by the University of Newcastle to support NASA's GRACE and GRACE Follow-On projects as an international science team member and by Australian Research Council Discovery Program (DP160104095, DP170100224). Science team funding was provided by NASA (GRACERFO19-0010) to Jeanne Sauber. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (80NM0018D0004). The work towards AOD1B RL07 is supported by the German Research Foundation (DO 1311/4-1).en
dc.description.sponsorshipUniversity of Newcastle; Australian Research Council [DP160104095, DP170100224]; NASA [GRACERFO19-0010]; National Aeronautics and Space Administration [80NM0018D0004]; German Research Foundation [DO 1311/4-1]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2021JB022983en
dc.identifier.eissn2169-9356en
dc.identifier.issn2169-9313en
dc.identifier.issue2en
dc.identifier.othere2021JB022983en
dc.identifier.urihttp://hdl.handle.net/10919/111427en
dc.identifier.volume127en
dc.language.isoenen
dc.publisherAmerican Geophysical Unionen
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectGRACE Follow-Onen
dc.subjectLRIen
dc.subjectLGDen
dc.subjectsub-monthly mass changeen
dc.subjecttime-variable gravityen
dc.titleAlong-Orbit Analysis of GRACE Follow-On Inter-Satellite Laser Ranging Measurements for Sub-Monthly Surface Mass Variationsen
dc.title.serialJournal of Geophysical Research-Solid Earthen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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