000811707 001__ 811707
000811707 005__ 20210129223918.0
000811707 0247_ $$2doi$$a10.1016/j.rse.2015.10.033
000811707 0247_ $$2ISSN$$a0034-4257
000811707 0247_ $$2ISSN$$a1879-0704
000811707 0247_ $$2WOS$$aWOS:000376801000023
000811707 037__ $$aFZJ-2016-04091
000811707 082__ $$a050
000811707 1001_ $$0P:(DE-HGF)0$$aLievens, H.$$b0$$eCorresponding author
000811707 245__ $$aAssimilation of SMOS soil moisture and brightness temperature products into a land surface model
000811707 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2016
000811707 3367_ $$2DRIVER$$aarticle
000811707 3367_ $$2DataCite$$aOutput Types/Journal article
000811707 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1470059196_28380
000811707 3367_ $$2BibTeX$$aARTICLE
000811707 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000811707 3367_ $$00$$2EndNote$$aJournal Article
000811707 520__ $$aThe Soil Moisture and Ocean Salinity (SMOS) mission has the potential to improve the predictive skill of land surface models through the assimilation of its observations. Several alternate products can be distinguished: the observed brightness temperature (TB) data at coarse scale, indirect estimates of soil moisture (SM) through the inversion of the coarse-scale TB observations, and fine-scale soil moisture through the a priori downscaling of coarse-scale soil moisture. The SMOS TB products include observations over a large range of incidence angles at both H- and V-polarizations, which allows the merit of assimilating the full set of multi-angular/polarization observations, as opposed to specific sub-sets of observations, to be assessed. This study investigates the performance of various observation scenarios with respect to soil moisture and streamflow predictions in the Murray Darling Basin. The observations are assimilated into the Variable Infiltration Capacity (VIC) model, coupled to the Community Microwave Emission Modeling (CMEM) platform, using the Ensemble Kalman filter. The assimilation of these various observation products is assessed under similar realistic assimilation settings, without optimization, and validated by comparison of the modeled soil moisture and streamflow to in situ measurements across the basin. The best results are achieved from assimilation of the coarse-scale SM observations. The reduced improvement using downscaled SM is probably due to a lower number of observations, as a result of cloud cover effects on the downscaling method. The assimilation of TB was found to be a promising alternative, which led to improvements in soil moisture prediction approaching those of the coarse-scale SM assimilation
000811707 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000811707 588__ $$aDataset connected to CrossRef
000811707 7001_ $$0P:(DE-HGF)0$$aDe Lannoy, G. J. M.$$b1
000811707 7001_ $$0P:(DE-HGF)0$$aAl Bitar, A.$$b2
000811707 7001_ $$0P:(DE-HGF)0$$aDrusch, M.$$b3
000811707 7001_ $$0P:(DE-HGF)0$$aDumedah, G.$$b4
000811707 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b5
000811707 7001_ $$0P:(DE-HGF)0$$aKerr, Y. H.$$b6
000811707 7001_ $$0P:(DE-HGF)0$$aTomer, S. K.$$b7
000811707 7001_ $$0P:(DE-HGF)0$$aMartens, B.$$b8
000811707 7001_ $$0P:(DE-HGF)0$$aMerlin, O.$$b9
000811707 7001_ $$0P:(DE-HGF)0$$aPan, M.$$b10
000811707 7001_ $$0P:(DE-HGF)0$$aRoundy, J. K.$$b11
000811707 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b12
000811707 7001_ $$0P:(DE-HGF)0$$aWalker, J. P.$$b13
000811707 7001_ $$0P:(DE-HGF)0$$aWood, E. F.$$b14
000811707 7001_ $$0P:(DE-HGF)0$$aVerhoest, N. E. C.$$b15
000811707 7001_ $$0P:(DE-HGF)0$$aPauwels, V. R. N.$$b16
000811707 773__ $$0PERI:(DE-600)1498713-2$$a10.1016/j.rse.2015.10.033$$gVol. 180, p. 292 - 304$$p292 - 304$$tRemote sensing of environment$$v180$$x0034-4257$$y2016
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.pdf$$yRestricted
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.gif?subformat=icon$$xicon$$yRestricted
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.jpg?subformat=icon-180$$xicon-180$$yRestricted
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.jpg?subformat=icon-640$$xicon-640$$yRestricted
000811707 8564_ $$uhttps://juser.fz-juelich.de/record/811707/files/1-s2.0-S003442571530184X-main.pdf?subformat=pdfa$$xpdfa$$yRestricted
000811707 909CO $$ooai:juser.fz-juelich.de:811707$$pVDB:Earth_Environment$$pVDB
000811707 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138662$$aForschungszentrum Jülich$$b5$$kFZJ
000811707 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129549$$aForschungszentrum Jülich$$b12$$kFZJ
000811707 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
000811707 9141_ $$y2016
000811707 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000811707 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000811707 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bREMOTE SENS ENVIRON : 2014
000811707 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bREMOTE SENS ENVIRON : 2014
000811707 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000811707 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000811707 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000811707 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext
000811707 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000811707 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000811707 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000811707 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000811707 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000811707 980__ $$ajournal
000811707 980__ $$aVDB
000811707 980__ $$aUNRESTRICTED
000811707 980__ $$aI:(DE-Juel1)IBG-3-20101118