Hydrological model comparison and assessment: criteria from catchment scales and temporal resolution |
| |
| Authors: | C Gao MT Yao JQ Zhai S Buda T Fischer |
| |
| Institution: | 1. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu, China;2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science &3. Technology, Nanjing, China;4. National Climate Centre, China Meteorological Administration, Beijing, China;5. Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Urumqi, China;6. National Climate Centre, China Meteorological Administration, Beijing, China;7. Department of Geosciences, Eberhard Karls University, Tübingen, Germany |
| |
| Abstract: | ABSTRACTThis study examines the performance of three hydrological models, namely the artificial neural network (ANN) model, the Hydrologiska Byråns Vattenbalansavdelning-D (HBV-D) model, and the Soil and Water Integrated Model (SWIM) over the upper reaches of the Huai River basin. The assessment is done by using databases of different temporal resolution and by further examining the applicability of SWIM for different catchment sizes. The results show that at monthly scale the performance of the ANN model is better than that of HBV-D and SWIM. The ANN model can be applied at any temporal scale as it establishes an artificial precipitation–runoff relationship for various time scales by only using monthly precipitation, temperature and runoff data. However, at daily scale the performance of both HBV-D and SWIM are similar or even better than the ANN model. In addition, the performance of SWIM at a small catchment size (less than 10 000 km2) is much better than at a larger catchment size. In view of climate change modelling, HBV-D and SWIM might be integrated in a dynamical atmosphere-water-cycle modelling rather than the ANN model due to their use of observed physical links instead of artificial relations within a black box. Editor D. Koutsoyiannis; Associate editor D. Hughes |
| |
| Keywords: | hydrological model performance ANN HBV-D SWIM Huai River basin |
|
|
