000019607 001__ 19607
000019607 005__ 20200702121613.0
000019607 0247_ $$2DOI$$a10.5194/hessd-8-6031-2011
000019607 0247_ $$2WOS$$aWOS:000296745600007
000019607 037__ $$aPreJuSER-19607
000019607 041__ $$aeng
000019607 082__ $$a550
000019607 084__ $$2WoS$$aGeosciences, Multidisciplinary
000019607 084__ $$2WoS$$aWater Resources
000019607 1001_ $$0P:(DE-HGF)0$$aVernieuwe, H.$$b0
000019607 245__ $$aIntegrating coarse-scale uncertain soil moisture data into a fine-scale hydrological modelling scenario
000019607 260__ $$aKatlenburg-Lindau$$bEGU$$c2011
000019607 300__ $$a3101 - 3114
000019607 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000019607 3367_ $$2DataCite$$aOutput Types/Journal article
000019607 3367_ $$00$$2EndNote$$aJournal Article
000019607 3367_ $$2BibTeX$$aARTICLE
000019607 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000019607 3367_ $$2DRIVER$$aarticle
000019607 440_0 $$022262$$aHydrology and Earth System Sciences$$v15$$x1027-5606$$y10
000019607 500__ $$3POF3_Assignment on 2016-02-29
000019607 500__ $$aThis work has been performed in the framework of the STEREO-project SR/00/100, financed by the Belgian Science Policy and project G.0837.10 granted by the Research Foundation Flanders. Computational resources and services used in this work were provided by Ghent University.
000019607 520__ $$aIn a hydrological modelling scenario, often the modeller is confronted with external data, such as remotely-sensed soil moisture observations, that become available to update the model output. However, the scale triplet ( spacing, extent and support) of these data is often inconsistent with that of the model. Furthermore, the external data can be cursed with epistemic uncertainty. Hence, a method is needed that not only integrates the external data into the model, but that also takes into account the difference in scale and the uncertainty of the observations. In this paper, a synthetic hydrological modelling scenario is set up in which a high-resolution distributed hydrological model is run over an agricultural field. At regular time steps, coarse-scale field-averaged soil moisture data, described by means of possibility distributions ( epistemic uncertainty), are retrieved by synthetic aperture radar and assimilated into the model. A method is presented that allows to integrate the coarse-scale possibility distribution of soil moisture content data with the fine-scale model-based soil moisture data. The method is subdivided in two steps. The first step, the disaggregation step, employs a scaling relationship between field-averaged soil moisture content data and its corresponding standard deviation. In the second step, the soil moisture content values are updated using two alternative methods.
000019607 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000019607 588__ $$aDataset connected to Web of Science
000019607 650_7 $$2WoSType$$aJ
000019607 7001_ $$0P:(DE-HGF)0$$aDe Baets, B.$$b1
000019607 7001_ $$0P:(DE-HGF)0$$aMinet, J.$$b2
000019607 7001_ $$0P:(DE-HGF)0$$aPauwels, V.R.N.$$b3
000019607 7001_ $$0P:(DE-Juel1)VDB54976$$aLambot, S.$$b4$$uFZJ
000019607 7001_ $$0P:(DE-HGF)0$$aVanclooster, M.$$b5
000019607 7001_ $$0P:(DE-HGF)0$$aVerhoest, N.E.C.$$b6
000019607 773__ $$0PERI:(DE-600)2100610-6$$a10.5194/hessd-8-6031-2011$$gVol. 8, p. 3101 - 3114$$p3101 - 3114$$q8<3101 - 3114$$tHydrology and earth system sciences$$v8$$x1027-5606$$y2011
000019607 8567_ $$uhttp://dx.doi.org/10.5194/hessd-8-6031-2011
000019607 909CO $$ooai:juser.fz-juelich.de:19607$$pVDB$$pVDB:Earth_Environment
000019607 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000019607 9141_ $$y2011
000019607 9131_ $$0G:(DE-Juel1)FUEK407$$aDE-HGF$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000019607 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000019607 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$gIBG$$kIBG-3$$lAgrosphäre$$x0
000019607 970__ $$aVDB:(DE-Juel1)134473
000019607 980__ $$aVDB
000019607 980__ $$aConvertedRecord
000019607 980__ $$ajournal
000019607 980__ $$aI:(DE-Juel1)IBG-3-20101118
000019607 980__ $$aUNRESTRICTED