Regional estimation of parameters of a rainfall‐runoff model at ungauged watersheds using the “spatial” structures of the parameters within a canonical physiographic‐climatic space

By Y. Hundecha, Taha B. M. J. Ouarda, András Bárdossy. 2008

95 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/ddfb213a04e513c4e744b6833e303c44ef4a3966

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. Taha B. M. J. Ouarda
2. Reza Modarres
3. Fateh Chebana
4. R. Palmer
5. Kuk‐Hyun Ahn
6. F. Tosunoğlu
7. Songbai Song
8. F. Serinaldi

In Water Science and Technology

1. Reza Modarres
2. Taha B. M. J. Ouarda
3. F. Serinaldi

Citations in the corpus

• Modeling rainfall–runoff relationship using multivariate GARCH model (2013, methodology): “Statistical methods such as multivariate regression models (Wang et al., 2008; Hundecha et al., 2008; McIntyre and Al-Qurashi, 2009, among others), artificial neural networks (Kumar et al., 2005; Nayak et al., 2007; Machado et al., 2011, among others) and multivariate time series models have been…”