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| Hauptseite > Publikationsdatenbank > Integrating coarse-scale uncertain soil moisture data into a fine-scale hydrological modelling scenario > print |
| Hauptseite > Publikationsdatenbank > Integrating coarse-scale uncertain soil moisture data into a fine-scale hydrological modelling scenario > print |
| 001 | 19607 | ||
| 005 | 20200702121613.0 | ||
| 024 | 7 | _ | |2 DOI |a 10.5194/hessd-8-6031-2011 |
| 024 | 7 | _ | |2 WOS |a WOS:000296745600007 |
| 037 | _ | _ | |a PreJuSER-19607 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 550 |
| 084 | _ | _ | |2 WoS |a Geosciences, Multidisciplinary |
| 084 | _ | _ | |2 WoS |a Water Resources |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Vernieuwe, H. |b 0 |
| 245 | _ | _ | |a Integrating coarse-scale uncertain soil moisture data into a fine-scale hydrological modelling scenario |
| 260 | _ | _ | |a Katlenburg-Lindau |b EGU |c 2011 |
| 300 | _ | _ | |a 3101 - 3114 |
| 336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a article |2 DRIVER |
| 440 | _ | 0 | |0 22262 |a Hydrology and Earth System Sciences |v 15 |x 1027-5606 |y 10 |
| 500 | _ | _ | |3 POF3_Assignment on 2016-02-29 |
| 500 | _ | _ | |a This 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. |
| 520 | _ | _ | |a In 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. |
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| 588 | _ | _ | |a Dataset connected to Web of Science |
| 650 | _ | 7 | |2 WoSType |a J |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a De Baets, B. |b 1 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Minet, J. |b 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Pauwels, V.R.N. |b 3 |
| 700 | 1 | _ | |0 P:(DE-Juel1)VDB54976 |a Lambot, S. |b 4 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Vanclooster, M. |b 5 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Verhoest, N.E.C. |b 6 |
| 773 | _ | _ | |0 PERI:(DE-600)2100610-6 |a 10.5194/hessd-8-6031-2011 |g Vol. 8, p. 3101 - 3114 |p 3101 - 3114 |q 8<3101 - 3114 |t Hydrology and earth system sciences |v 8 |x 1027-5606 |y 2011 |
| 856 | 7 | _ | |u http://dx.doi.org/10.5194/hessd-8-6031-2011 |
| 909 | C | O | |o oai:juser.fz-juelich.de:19607 |p VDB |p VDB:Earth_Environment |
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| 913 | 2 | _ | |a DE-HGF |b Marine, Küsten- und Polare Systeme |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-259H |2 G:(DE-HGF)POF3-200 |v Addenda |x 0 |
| 914 | 1 | _ | |y 2011 |
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