Regionalisation of hydrological model parameters under parameter uncertainty : A case study involving TOPMODEL and basins across the globe

By Satish Bastola, H. Ishidaira, K. Takeuchi. 2008

95 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e741ed83e7b211f7adbb0358bb83380bf1f16651

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

1. Marnik Vanclooster
2. Sihem Benabdallah
3. H. Sellami
4. I. La Jeunesse

In Global and Planetary Change

1. Marnik Vanclooster
2. Sihem Benabdallah
3. H. Sellami
4. I. La Jeunesse

In Water Science and Technology

1. Marnik Vanclooster
2. Sihem Benabdallah
3. H. Sellami
4. I. La Jeunesse

Citations in the corpus

• Advances in variable selection methods I: Causal selection methods versus stepwise regression and principal component analysis on data of known and unknown functional relationships (2012, methodology): “The methods include statistical regionalization (Kokkonen et al., 2003) and the use of regional hydrological model parameters (Bastola et al., 2008).”
• Parameter and rating curve uncertainty propagation analysis of the SWAT model for two small Mediterranean catchments (2013, methodology): “Thus, investigating and quantifying all sources of uncertainty is among the most challenging tasks that hydrologists face (Bastola et al. 2008).”