Consideration of measurement uncertainty in the evaluation of goodness-of-fit in hydrologic and water quality modeling
By R. Daren Harmel, Patricia L. Smith. 2007
282 citations recorded by the source corpus.
Subfields: Environmental Engineering, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/591d3b1cb68def92ed37c51beeba1ca13a1ee1e5
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
- D. Bosch
- Xuesong Zhang
- Raghavan Srinivasan
- Christopher J. A. Macleod
- G. Bilotta
- John N. Quinton
- Jim Freer
- P. Butler
In Water Science and Technology
- D. Bosch
- Xuesong Zhang
- Raghavan Srinivasan
- Christopher J. A. Macleod
- G. Bilotta
- John N. Quinton
- Jim Freer
- P. Butler
Citations in the corpus
- Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging (2009, methodology): “…and uncertainty analysis methods have been developed and applied to improve the prediction reliability and quantify prediction uncertainty of SWAT simulations (Eckhardt and Arnold, 2001; Bekele and Nicklow, 2007; Yang et al., 2007; Harmel and Smith, 2007; Arabi et al., 2007; Kannan et al., 2008).”
- Ensemble evaluation of hydrological model hypotheses (2010, background): “Recent efforts, however, have made the specification of output error models more explicit [Kennedy and O’Hagan, 2001; Kavetski et al., 2003; Vrugt et al., 2003, 2005; Beven, 2006; Kavetski et al., 2006b; Huard and Mailhot, 2006; Vrugt and Robinson, 2007; Harmel and Smith, 2007], although error model”