Error‐correction methods and evaluation of an ensemble based hydrological forecasting system for the Upper Danube catchment
By K. Bogner, Milan Kalas. 2008
63 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/2eec3871aa4bb212f95c3943494acc8b1d57ee51
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
In Global and Planetary Change
- Hannah L. Cloke
- James D. Brown
- Florian Pappenberger
- Dong-Jun Seo
- Martijn J. Booij
- Maarten S. Krol
- Pierre Pinson
In Water Science and Technology
- Hannah L. Cloke
- James D. Brown
- Florian Pappenberger
- Dong-Jun Seo
- Martijn J. Booij
- Maarten S. Krol
- Pierre Pinson
Citations in the corpus
- Ensemble flood forecasting: a review. (2009, methodology): “Alternatively if hydrograph (exact discharge) predictions are required, an error model can be used to correct the hydrological forecast with observed discharge (Bogner and Kalas, 2008; Olsson and Lindstrom, 2008).”
- Evaluation of a nonparametric post‐processor for bias correction and uncertainty estimation of hydrologic predictions (2013, background): “…predictors could originate from different temporal scales (Zhao et al., 2011) or involve convolutions of the prior observations, such as wavelets (Bogner and Kalas, 2008; Bogner and Pappenberger, 2011), which can account for the multiscale timing errors in hydrologic predictions (e.g. Liu et…”