Balance between calibration objectives in a conceptual hydrological model

By Martijn J. Booij, Maarten S. Krol. 2010

51 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/5385021c0ac8b0fa33fd429c6203b1eb16300207

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Florine Garcia
2. N. Folton
3. L. Oudin
4. Renata J. Romanowicz
5. Marzena Osuch
6. Martijn J. Booij

In Ocean Engineering

1. Renata J. Romanowicz
2. Marzena Osuch
3. Florine Garcia
4. N. Folton
5. Martijn J. Booij
6. L. Oudin

In Water Science and Technology

1. Florine Garcia
2. N. Folton
3. L. Oudin
4. Renata J. Romanowicz
5. Marzena Osuch
6. Martijn J. Booij

Citations in the corpus

• The influence of parametric uncertainty on the relationships between HBV model parameters and climatic characteristics (2015, methodology): “The rainfall–runoff model applied in this paper is the lumped conceptual HBV model (Bergström 1995, Lindström 1997, Lindström et al. 1997, Booij 2005, Booij and Krol 2010).”
• Which objective function to calibrate rainfall–runoff models for low-flow index simulations? (2017, background): “…in the theoretical framework of multi-objective optimization such as a Pareto front (Khu and Madsen 2005, Fenicia et al. 2007), or more simply by deriving aggregated (combined) objective functions (Madsen 2003, Merz and Blöschl 2004, Oudin et al. 2006, Booij and Krol 2010, Nicolle et al. 2014).”