The quality of hydrological modelling is limited due to the restricted availability of high resolution temporal and spatial input data such as temperature, global radiation, and precipitation. Radar-based rain measurements provide good spatial information. On the other hand, using radar data is accompanied by basic difficulties such as clutter, shielding, variations of Z/R-relationships, beam-r...

Hydrological multivariate analysis has been widely studied using copula-based modelling, in which marginal distribution inference is one of the key issues. The main object of this study is to discuss the applicability of the principle of maximum entropy (POME) in marginal distribution inference, thus to develop a POME-copula framework to analyse the dependence of hydrological variables. Margina...

Land-surface modelling in hydrological perspective J. Overgaard, D. Rosbjerg, and M. B. Butts Institute of Environment & Resources, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark DHI Water & Environment, DK-2970 Hørsholm, Denmark Received: 18 October 2005 – Accepted: 13 November 2005 – Published: 13 December 2005 Correspondence to: J. Overgaard ([email protected]) © 2005 Author(s). T...

Achieving a successful long-term strategy for sustainable water resource management of the Murray-Darling Basin (MDB) involves improving our understanding of the integrated hydrological system and assessing the impacts of land use and climate change upon this system. A methodology is currently being developed with the potential for addressing these issues by way of a new satellite technology sy...

Clark, Martyn P.; Kavetski, Dmitri; Fenicia, Fabrizio Reply to comment by K. Beven et al. on "Pursuing the method of multiple working hypotheses for hydrological modelling" Water Resources Research, 2012; 48(11):W11802 ©2012. American Geophysical Union. All Rights Reserved. The electronic version of this article is the complete one and can be found online at: http://onlinelibrary.wiley.com/doi/...

Large-scale hydrological modelling has become increasingly wide-spread during the last decade. An annual workshop series on large-scale hydrological modelling has provided, since 1997, a forum to the German-speaking community for discussing recent developments and achievements in this research area. In this paper we present the findings from the 2007 workshop which focused on advances and visio...

This paper describes development and testing of the components of a distributed eco-hydrological modelling framework CLASS (Catchment Scale Multiple-Landuse Atmosphere Soil Water and Solute Transport Model). The CLASS modelling framework, its components and their algorithms are described in a detailed technical report (Tuteja et al., 2004; available for download from Catchment Modelling Toolkit...