Generic error model for calibration and uncertainty estimation of hydrological models
By J. Götzinger, András Bárdossy. 2008
99 citations recorded by the source corpus.
Subfields: Environmental Engineering, Ocean Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/2cfe079105d2ecf0543c1aee9ea4ac2a8368b698
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
- Jasper A. Vrugt
- G. Schoups
- Mojtaba Sadegh
- Jirka Šimůnek
- Thomas Wöhling
- Keith Beven
- Ming Ye
- M. T. V. Genuchten
In Ocean Engineering
In Water Science and Technology
- Jasper A. Vrugt
- G. Schoups
- Mojtaba Sadegh
- Ming Ye
- Eric Laloy
- Hoshin V. Gupta
- Keith Beven
- Thomas Wöhling
Citations in the corpus
- A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non‐Gaussian errors (2010, background): “Focus is on correct simulation and representation of total residual errors, i.e., measurement, model input, and model structural errors are treated in a lumped manner, as opposed to recent attempts at separating the various error sources in hydrologic modeling [Kavetski et al., 2006a; Kuczera et al.”