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| 001 | 186381 | ||
| 005 | 20210129214901.0 | ||
| 024 | 7 | _ | |a 10.1016/j.jhydrol.2014.10.005 |2 doi |
| 024 | 7 | _ | |a 0022-1694 |2 ISSN |
| 024 | 7 | _ | |a 1879-2707 |2 ISSN |
| 024 | 7 | _ | |a WOS:000347018100073 |2 WOS |
| 024 | 7 | _ | |a altmetric:21824767 |2 altmetric |
| 037 | _ | _ | |a FZJ-2015-00457 |
| 082 | _ | _ | |a 690 |
| 100 | 1 | _ | |a Laloy, Eric |0 P:(DE-HGF)0 |b 0 |e Corresponding Author |
| 245 | _ | _ | |a High-resolution moisture profiles from full-waveform probabilistic inversion of TDR signals |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2014 |b Elsevier |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1421306753_12764 |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 |
| 520 | _ | _ | |a This study presents an novel Bayesian inversion scheme for high-dimensional undetermined TDR waveform inversion. The methodology quantifies uncertainty in the moisture content distribution, using a Gaussian Markov random field (GMRF) prior as regularization operator. A spatial resolution of 1 cm along a 70-cm long TDR probe is considered for the inferred moisture content. Numerical testing shows that the proposed inversion approach works very well in case of a perfect model and Gaussian measurement errors. Real-world application results are generally satisfying. For a series of TDR measurements made during imbibition and evaporation from a laboratory soil column, the average root-mean-square error (RMSE) between maximum a posteriori (MAP) moisture distribution and reference TDR measurements is 0.04 cm3 cm-3. This RMSE value reduces to less than 0.02 cm3 cm-3 for a field application in a podzol soil. The observed model-data discrepancies are primarily due to model inadequacy, such as our simplified modeling of the bulk soil electrical conductivity profile. Among the important issues that should be addressed in future work are the explicit inference of the soil electrical conductivity profile along with the other sampled variables, the modeling of the temperature-dependence of the coaxial cable properties and the definition of an appropriate statistical model of the residual errors. |
| 536 | _ | _ | |a 246 - Modelling and Monitoring Terrestrial Systems: Methods and Technologies (POF2-246) |0 G:(DE-HGF)POF2-246 |c POF2-246 |f POF II |x 0 |
| 536 | _ | _ | |a 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) |0 G:(DE-HGF)POF3-255 |c POF3-255 |f POF III |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef, juser.fz-juelich.de |
| 700 | 1 | _ | |a Huisman, Johan Alexander |0 P:(DE-Juel1)129472 |b 1 |u fzj |
| 700 | 1 | _ | |a Jacques, Diederik |0 P:(DE-HGF)0 |b 2 |
| 773 | _ | _ | |a 10.1016/j.jhydrol.2014.10.005 |g Vol. 519, p. 2121 - 2135 |0 PERI:(DE-600)1473173-3 |n Part B |p 2121 - 2135 |t Journal of hydrology |v 519 |y 2014 |x 0022-1694 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/186381/files/FZJ-2015-00457.pdf |y Restricted |
| 909 | C | O | |o oai:juser.fz-juelich.de:186381 |p VDB |p VDB:Earth_Environment |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)129472 |
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| 913 | 1 | _ | |a DE-HGF |l Terrestrische Umwelt |1 G:(DE-HGF)POF3-250 |0 G:(DE-HGF)POF3-255 |2 G:(DE-HGF)POF3-200 |v Terrestrial Systems: From Observation to Prediction |x 1 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Erde und Umwelt |
| 914 | 1 | _ | |y 2014 |
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