𝔖 Bobbio Scriptorium
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SCS-CN-based Continuous Simulation Model for Hydrologic Forecasting

✍ Scribed by K. Geetha; S. K. Mishra; T. I. Eldho; A. K. Rastogi; R. P. Pandey


Publisher
Springer Netherlands
Year
2007
Tongue
English
Weight
582 KB
Volume
22
Category
Article
ISSN
0920-4741

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The discusser wishes to thank the authors for examining the potential of artificial neural networks (ANNs) in spatiotemporal groundwater level forecasting. Here, the discusser presents the following important points of view, which have to be considered by the authors and potential researchers.

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In the paper that is the foundation for this study, VanderKwaak and Loague (2001. Water Resources Research 37: 999-1013) reported a demonstration of a fully coupled comprehensive physics-based hydrologic-response model, InHM (Integrated Hydrology Model), for two rainfall-runoff events from the small

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Thanks to the discusser who has read and presented comments on the paper. The discusser has presented his comments in six separated parts; reply to all his comments is presented as follows.