000867599 001__ 867599
000867599 005__ 20210130003813.0
000867599 0247_ $$2doi$$a10.1007/s00190-019-01295-1
000867599 0247_ $$2ISSN$$a0007-4632
000867599 0247_ $$2ISSN$$a0949-7714
000867599 0247_ $$2ISSN$$a1432-1394
000867599 0247_ $$2altmetric$$aaltmetric:66740267
000867599 0247_ $$2WOS$$aWOS:000495245100020
000867599 037__ $$aFZJ-2019-06220
000867599 082__ $$a550
000867599 1001_ $$00000-0001-7881-3755$$aSpringer, Anne$$b0$$eCorresponding author
000867599 245__ $$aEvidence of daily hydrological loading in GPS time series over Europe
000867599 260__ $$aHeidelberg$$bSpringer80261$$c2019
000867599 3367_ $$2DRIVER$$aarticle
000867599 3367_ $$2DataCite$$aOutput Types/Journal article
000867599 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1575547899_2091
000867599 3367_ $$2BibTeX$$aARTICLE
000867599 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000867599 3367_ $$00$$2EndNote$$aJournal Article
000867599 520__ $$aLoading deformations from atmospheric, oceanic, and hydrological mass changes mask geophysical processes such as land subsidence and tectonic or volcanic deformation. While it is known that hydrological loading plays a role at seasonal time scales, here we demonstrate evidence that also fast water storage changes contribute to daily Global Positioning System (GPS) height time series. So far, no clear strategy, i.e., no single conventional hydrological model, has been proposed for removing hydrological deformation from daily GPS height time series. Hydrological model predictions of total water storage anomalies tend to diverge and (substantially) deviate from Gravity Recovery and Climate Experiment (GRACE) observations, which however have a limited spatial and temporal resolution. Here, we suggest to overcome these limitations by assimilating GRACE data into a high-resolution (12.5 km) hydrological model. We tested this approach over Europe, and we found that accounting for daily hydrological mass changes reduces the root mean square scatter of GPS height time series almost by a factor of two when compared to monthly hydrological mass changes. We suggest that a GRACE-assimilating hydrological model would provide a promising option for removing hydrology-induced vertical deformation from GPS time series also at the global scale. 
000867599 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000867599 588__ $$aDataset connected to CrossRef
000867599 7001_ $$00000-0001-7120-0649$$aKaregar, Makan A.$$b1
000867599 7001_ $$00000-0001-7069-021X$$aKusche, Jürgen$$b2
000867599 7001_ $$0P:(DE-HGF)0$$aKeune, Jessica$$b3
000867599 7001_ $$0P:(DE-Juel1)140349$$aKurtz, Wolfgang$$b4
000867599 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b5
000867599 773__ $$0PERI:(DE-600)1478938-3$$a10.1007/s00190-019-01295-1$$gVol. 93, no. 10, p. 2145 - 2153$$n10$$p2145 - 2153$$tJournal of geodesy$$v93$$x1432-1394$$y2019
000867599 8564_ $$uhttps://juser.fz-juelich.de/record/867599/files/Springer2019_Article_EvidenceOfDailyHydrologicalLoa-1.pdf$$yRestricted
000867599 8564_ $$uhttps://juser.fz-juelich.de/record/867599/files/Springer2019_Article_EvidenceOfDailyHydrologicalLoa-1.pdf?subformat=pdfa$$xpdfa$$yRestricted
000867599 909CO $$ooai:juser.fz-juelich.de:867599$$pVDB:Earth_Environment$$pVDB
000867599 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)151405$$aForschungszentrum Jülich$$b5$$kFZJ
000867599 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000867599 9141_ $$y2019
000867599 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000867599 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ GEODESY : 2017
000867599 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000867599 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000867599 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000867599 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000867599 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000867599 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000867599 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000867599 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000867599 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000867599 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000867599 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000867599 980__ $$ajournal
000867599 980__ $$aVDB
000867599 980__ $$aI:(DE-Juel1)IBG-3-20101118
000867599 980__ $$aUNRESTRICTED