Estimation of Extreme Floods of the River Meuse Using a Stockastic Weather Generator and a Rainfall-Runoff Model

By R. Leander, A. Buishand, P. Aalders, M. Wit. 2005

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Balance between calibration objectives in a conceptual hydrological model (2010, methodology): “This adapted schematization has also been used by Leander et al. (2005) and Leander & Buishand (2007).”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “Other re-sampling approaches for the simulation of precipitation and temperature series at multiple sites have been developed (e.g. Palutikof et al., 2002; Leander et al., 2005), sometimes conditional on atmospheric circulation patterns (e.g. Beersma and Buishand, 2003).”
Daily river water temperature forecast model with a k‐nearest neighbour approach (2012, methodology): “The renewed interest in research related to river water temperature during the last decade is mostly associated with a desire to better understand the impacts of human activity on aquatic ecosystems.”
Modeling of daily precipitation at multiple locations using a mixture of distributions to characterize the extremes (2009, methodology): “[7] A nonparametric approach based on resampling of the observed precipitation has also been used in some studies as an alternative approach to model daily series of precipitation both at a single site [Lall and Sharma, 1996; Brandsma and Buishand, 1998; Rajagopalan and Lall, 1999] and multiple site”