Year 2010

Kayastha, N. , Shrestha, D. L., Solomatine, D. (2010). Optimal combinations of specialized conceptual hydrological models , Proc of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Pianosi, F., Shrestha, D. L., Solomatine, D. (2010). Uncertainty analysis of flow forecasting model: Extension of UNEEC method with parameter uncertainty , Proc of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)    Poster (pdf)

Year 2009

Shrestha, D.L., Kayastha, N. and Solomatine, D.P. (2009). A novel approach to parameter uncertainty analysis of hydrological models: Application of machine learning techniques, Proc of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Shrestha, D.L., Kayastha, N. and Solomatine, D.P. (2009). A novel approach to Monte Carlo-based uncertainty analysis of hydrological models using artificial neural networks, Proc of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Year 2008

Shrestha, D.L. and Solomatine, D.P. (2008). Novel method to estimate predictive uncertainty of flow forecasting, Proc of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Year 2007

Shrestha, D.L. and Solomatine, D.P. (2007). Comparing machine learning approaches in estimating model uncertainty of hydrological conceptual models, Proc. of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Shrestha, D.L. and Solomatine, D.P. (2007). Neural networks and clustering in estimation of the total model uncertainty of hydrologic models, Proc. of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Year 2006

Shrestha, D.L. and Solomatine, D.P. (2006). Fuzzy clustering and neural networks in localized estimation of the total model uncertainty, Proc. of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Solomatine, D.P., Shrestha, D.L. and Chen, C. (2006). Estimating parameter uncertainty of hydrological models by Metropolis-Hastings, SCEM-UA, and Adaptive cluster covering (ACCO) algorithms, Proc. of the Geophysical Research Abstracts, European Geosciences Union. Abstract (pdf)

Year 2005