Quantitative integration of high-resolution hydrogeophysical data:A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions

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Ressource 1Download: Dafflon et al., JES, 2009.pdf (789.98 [Ko])
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_5AABC3DFF150
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Quantitative integration of high-resolution hydrogeophysical data:A novel approach to Monte-Carlo-type conditional stochastic simulations and implications for hydrological predictions
Journal
Journal of Earth Science
Author(s)
Dafflon B., Irving J., Holliger K.
ISSN
1674-487X
Publication state
Published
Issued date
2008
Volume
20
Pages
580-591
Language
english
Notes
Dafflon2009c
URN
urn:nbn:ch:serval-BIB_5AABC3DFF1509
OAI-PMH
oai:serval.unil.ch:BIB_5AABC3DFF150
DOI
10.1007/s12583-009-0048-6
Create date
25/11/2013 17:31
Last modification date
04/01/2021 7:09
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