A representer‐based inverse method for groundwater flow and transport applications
By J. Valstar, Dennis McLaughlin, C. te Stroet, F. V. Van Geer. 2004
74 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Environmental Engineering, Geophysics
View Paper: https://www.semanticscholar.org/paper/a839fcfbe3dd3fb54884b95380f01dac2df0b3f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Monica Riva
- M. Clark
- Alberto Guadagnini
- Haksu Lee
- Hamid Moradkhani
- A. Alcolea
- H. H. Franssen
- Shlomo P. Neuman
In Environmental Engineering
- M. Clark
- Yuqiong Liu
- Albrecht H. Weerts
- H. H. Franssen
- Dong-Jun Seo
- Monica Riva
- N. V. D. Wiel
- M. Bakr
In Geophysics
- N. V. D. Wiel
- Monica Riva
- M. Bakr
- Alberto Guadagnini
- A. Alcolea
- H. H. Franssen
- F. Stauffer
- Philippe Renard
Citations in the corpus
- A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments (2009, methodology): “(2) and (3) and encompasses the simultaneous conditioning to transmissivity and hydraulic head measurements [10,130].”
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, methodology): “These include, for example, the one-, two-, three- and fourdimensional variational algorithms (1D-, 2D-, 3D-, and 4DVAR, e.g., Seo et al., 2003, 2009; Valstar et al., 2004), extended or ensemble Kalman filtering (EKF or EnKF, e.”