New Approaches to Hydrological Prediction in Data-sparse Regions

Book excerpt: When data are scarce, hydrological predictions become unreliable, mainly due to the inability to specify model components and parameter values that consistently represent the dominant hydrological processes in a particular basin, and also due to the lack of high quality model forcing. This is a problem in developed and developing countries, and the focus of much research worldwide. This proceedings volume, from a symposium of the same name heldin Hyderabad, India, September 2009, contains 40 papers from over 20 countries. They reflect differing aspects of, and approaches to, the problem and are grouped accordingly: Hydrological modelling in poorly gauged and ungauged basins Hydrometeorology and climate change assessment Remote sensing applications in hydrology Characterizing rainfall variability & its impacts on hydrological modelling