Predictive error dependencies when using pilot points and singular value decomposition in groundwater model calibration
By S. Christensen, John Doherty. 2008
77 citations recorded by the source corpus.
Subfields: Environmental Engineering, Geophysics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/645d16d0af95b012b4a247b4c4239b8b2b67a77b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
- Daan Herckenrath
- Christian D. Langevin
- H. H. Franssen
- Monica Riva
- John Doherty
- Alberto Guadagnini
- A. Alcolea
- N. V. D. Wiel
In Geophysics
- H. H. Franssen
- Daan Herckenrath
- Christian D. Langevin
- John Doherty
- Alberto Guadagnini
- Monica Riva
- N. V. D. Wiel
- M. Bakr
In Ocean Engineering
- Daan Herckenrath
- Christian D. Langevin
- N. V. D. Wiel
- Monica Riva
- John Doherty
- M. Bakr
- Alberto Guadagnini
- A. Alcolea
Citations in the corpus
- Predictive uncertainty analysis of a saltwater intrusion model using null‐space Monte Carlo (2011, methodology): “The linear method uses the following equation derived by Christensen and Doherty [2008] and employed by Dausman et al. [2010] for data worth analysis in the context of density‐dependent flow where fluid density is a function of both solute concentration and temperature:”
- A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments (2009, methodology): “This technique, also known as singular value decomposition, has been further developed by Christensen and Doherty [33].”