This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic...

This book addresses water management issues in the State of New Mexico. It focuses on our current understanding of the natural world, capabilities in numerical modeling, existing and evolving regulatory frameworks, and specific issues such as water quality, endangered species and the evolution of new water management institutions. Similar to its neighboring states, New Mexico regularly experiences cycles of drought. It is also experiencing rapid economic growth while at the same time is experiencing a fundamental climate shift. These factors place severe demands on its scarce water resources....

General circulation models (GCMs) predict certain changes in the amounts and distribution of precipitation, but the conversion of these predictions of impacts on water resources presents novel problems in hydrologic modeling, particularly with regard to the scale of the processes involved. Therefore improved, distributed GCMs are required. New remote sensing technologies provide the necessary spatially distributed data. However, there are many attendant problems with the translation of remotely sensed signals into hydrologically relevant information. This book elucidates how to improve the...