News approaches to hydrological prediction in data sparse regions

Edited by Koray Yilmaz, Ismail Yucel, Hoshin V. Gupta, Thorsten Wagener, Dawen Yang,
Hubert Savenije, Christopher Neale, Harald Kunstmann and John Pomeroy
Proceedings of symposium HS2 held in Hyderabad, India, September 2009.

IAHS Publ. 333 (2009) ISBN 978-1-907161-04-9, 344 + x pp. Price £66.00

When data are scarce, hydrological predictions become unreliable mainly due both to the inability to specify model components and parameter values that consistently represent the dominant hydrological processes in a particular watershed, and due to the lack of high quality model forcing. This is a problem in developed and developing countries, and the focus of much research effort worldwide. This proceedings volume, from a symposium of the same name held in 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:

Contents


     
  1. Hydrological Modelling in Poorly Gauged and Ungauged Basins
     
     
  2. Hydrometeorology and Climate Change Assessment
     
     
  3. Remote Sensing Applications in Hydrology
     
     
  4. Characterizing Rainfall Variability and Its Impacts on Hydrological Modelling
     
     

    Key word index, 341