Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105299
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorWang, P-
dc.creatorWang, SY-
dc.creatorLi, J-
dc.creatorChen, J-
dc.creatorQi, Z-
dc.date.accessioned2024-04-12T06:51:26Z-
dc.date.available2024-04-12T06:51:26Z-
dc.identifier.urihttp://hdl.handle.net/10397/105299-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Wang P, Wang S-Y, Li J, Chen J, Qi Z. Comparison of GRACE/GRACE-FO Spherical Harmonic and Mascon Products in Interpreting GNSS Vertical Loading Deformations over the Amazon Basin. Remote Sensing. 2023; 15(1):252 is available at https://doi.org/10.3390/rs15010252.en_US
dc.subjectAmazon Basinen_US
dc.subjectGNSSen_US
dc.subjectGRACEen_US
dc.subjectGRACE-FOen_US
dc.subjectMascon solutionsen_US
dc.subjectNoise varianceen_US
dc.subjectVertical loading displacementsen_US
dc.titleComparison of GRACE/GRACE-FO spherical harmonic and mascon products in interpreting GNSS vertical loading deformations over the Amazon Basinen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume15-
dc.identifier.issue1-
dc.identifier.doi10.3390/rs15010252-
dcterms.abstractWe compute the vertical displacements in the Amazon Basin using the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) observations, including both the gravity spherical harmonic (SH) solutions from the Center for Space Research (CSR), GeoForschungsZentrum (GFZ) and Jet Propulsion Laboratory (JPL) and mascons from CSR, JPL and Goddard Space Flight Center (GSFC). The correlation coefficients, annual amplitude and root mean squares (RMS) reductions are calculated to assess the agreements between the GRACE/GRACE-FO and Global Navigation Satellite System (GNSS) vertical displacements at 22 selected GNSS stations. For the six GRACE/GRACE-FO products (i.e., CSR SH, GFZ SH, JPL SH, CSR mascon, GSFC mascon and JPL mascon), the mean annual amplitude reductions are 77.6%, 76.4%, 76.3%, 78.6%, 78.5% and 76.6%, respectively, the corresponding mean RMS reductions are 63.2%, 61.7%, 62.3%, 64.9%, 65.3% and 63.8%, respectively, and the mean correlation coefficients are all over 0.93. On the whole, mascon solutions agree slightly better with GNSS solutions than SH solutions do. The CSR SH and the GSFC mascon solutions show the best agreements with the GNSS solution among the 3 SH and 3 mascon products, respectively. We estimate GRACE/GRACE-FO noises using the three-cornered hat (TCH) method and find that the CSR SH and GSFC mascons also have the smallest noise variances among the SH and mascon products, respectively. By analyzing the GNSS stations from the central and southern Amazon Basin, we find that: (1) the RMS reductions when the mascon solutions are removed from GNSS height series are slightly larger than those using the SH solutions in the center, while in south all the RMS reductions are fairly close; (2) for both SH solutions and mascon solutions, the correlation coefficients in the center are slightly larger than those in the south, but conversely, the mean annual amplitude reductions in the center are much smaller than those in the south.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationRemote sensing, Jan. 2023, v. 15, no. 1, 252-
dcterms.isPartOfRemote sensing-
dcterms.issued2023-01-
dc.identifier.scopus2-s2.0-85145881139-
dc.identifier.eissn2072-4292-
dc.identifier.artn252-
dc.description.validate202403 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNatural Science Foundation of China; Natural Science Foundation of Shanghai; National Key R&D Program of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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