Articles | Volume 13, issue 9
https://doi.org/10.5194/hess-13-1607-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-13-1607-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin
M. K. Akhtar
University of western Ontario, Dept. of Civil and Environmental Engineering, Spencer Engineering Building, London, Ontario, N6A 5B9, Canada
G. A. Corzo
UNESCO-IHE Institute for Water Education, Dept. of Hydroinformatics and Knowledge management, P.O. Box 3015, 2601 Delft, The Netherlands
S. J. van Andel
UNESCO-IHE Institute for Water Education, Dept. of Hydroinformatics and Knowledge management, P.O. Box 3015, 2601 Delft, The Netherlands
A. Jonoski
UNESCO-IHE Institute for Water Education, Dept. of Hydroinformatics and Knowledge management, P.O. Box 3015, 2601 Delft, The Netherlands
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