guest ::
| Home > Publications database > Estimating effective model parameters for heterogeneous unsaturated flow using error models for bias correction > print |
| Home > Publications database > Estimating effective model parameters for heterogeneous unsaturated flow using error models for bias correction > print |
| 001 | 111955 | ||
| 005 | 20200702121632.0 | ||
| 024 | 7 | _ | |a 10.1029/2011WR011062 |2 DOI |
| 024 | 7 | _ | |a WOS:000306000600001 |2 WOS |
| 024 | 7 | _ | |a 2128/17057 |2 Handle |
| 037 | _ | _ | |a PreJuSER-111955 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 550 |
| 084 | _ | _ | |2 WoS |a Environmental Sciences |
| 084 | _ | _ | |2 WoS |a Limnology |
| 084 | _ | _ | |2 WoS |a Water Resources |
| 100 | 1 | _ | |a Erdal, D. |b 0 |0 P:(DE-HGF)0 |
| 245 | _ | _ | |a Estimating effective model parameters for heterogeneous unsaturated flow using error models for bias correction |
| 260 | _ | _ | |a Washington, DC |b AGU |c 2012 |
| 300 | _ | _ | |a W06530 |
| 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 | |a Water Resources Research |x 0043-1397 |0 5958 |v 48 |
| 500 | _ | _ | |3 POF3_Assignment on 2016-02-29 |
| 500 | _ | _ | |a Record converted from VDB: 16.11.2012 |
| 520 | _ | _ | |a Estimates of effective parameters for unsaturated flow models are typically based on observations taken on length scales smaller than the modeling scale. This complicates parameter estimation for heterogeneous soil structures. In this paper we attempt to account for soil structure not present in the flow model by using so-called external error models, which correct for bias in the likelihood function of a parameter estimation algorithm. The performance of external error models are investigated using data from three virtual reality experiments and one real world experiment. All experiments are multistep outflow and inflow experiments in columns packed with two sand types with different structures. First, effective parameters for equivalent homogeneous models for the different columns were estimated using soil moisture measurements taken at a few locations. This resulted in parameters that had a low predictive power for the averaged states of the soil moisture if the measurements did not adequately capture a representative elementary volume of the heterogeneous soil column. Second, parameter estimation was performed using error models that attempted to correct for bias introduced by soil structure not taken into account in the first estimation. Three different error models that required different amounts of prior knowledge about the heterogeneous structure were considered. The results showed that the introduction of an error model can help to obtain effective parameters with more predictive power with respect to the average soil water content in the system. This was especially true when the dynamic behavior of the flow process was analyzed. |
| 536 | _ | _ | |a Terrestrische Umwelt |c P24 |2 G:(DE-HGF) |0 G:(DE-Juel1)FUEK407 |x 0 |
| 588 | _ | _ | |a Dataset connected to Web of Science |
| 650 | _ | 7 | |a J |2 WoSType |
| 700 | 1 | _ | |a Neuweiler, I. |b 1 |0 P:(DE-HGF)0 |
| 700 | 1 | _ | |a Huisman, J.A. |b 2 |u FZJ |0 P:(DE-Juel1)129472 |
| 773 | _ | _ | |0 PERI:(DE-600)2029553-4 |a 10.1029/2011WR011062 |g Vol. 48, p. W06530 |p W06530 |q 48 |v 48 |x 0043-1397 |y 2012 |
| 856 | 7 | _ | |u http://dx.doi.org/10.1029/2011WR011062 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/111955/files/Erdal_et_al-2012-Water_Resources_Research.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/111955/files/Erdal_et_al-2012-Water_Resources_Research.gif?subformat=icon |x icon |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/111955/files/Erdal_et_al-2012-Water_Resources_Research.jpg?subformat=icon-180 |x icon-180 |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/111955/files/Erdal_et_al-2012-Water_Resources_Research.jpg?subformat=icon-700 |x icon-700 |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/111955/files/Erdal_et_al-2012-Water_Resources_Research.pdf?subformat=pdfa |x pdfa |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:111955 |p openaire |p open_access |p driver |p VDB:Earth_Environment |p VDB |p dnbdelivery |
| 913 | 1 | _ | |b Erde und Umwelt |k P24 |l Terrestrische Umwelt |1 G:(DE-HGF)POF2-240 |0 G:(DE-Juel1)FUEK407 |2 G:(DE-HGF)POF2-200 |v Terrestrische Umwelt |x 0 |
| 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 2012 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a JCR/ISI refereed |0 StatID:(DE-HGF)0010 |2 StatID |
| 915 | _ | _ | |a Peer review |0 StatID:(DE-HGF)0030 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1020 |2 StatID |b Current Contents - Social and Behavioral Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Thomson Reuters Master Journal List |
| 920 | 1 | _ | |k IBG-3 |l Agrosphäre |g IBG |0 I:(DE-Juel1)IBG-3-20101118 |x 0 |
| 970 | _ | _ | |a VDB:(DE-Juel1)140601 |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a ConvertedRecord |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|