## Abstract Seasonal streamflow forecasts based on climate information can guide water managers toward superior reservoir operations, leading to improved water resources management efficiency. Uncertainty, however, is always present in seasonal streamflow forecasts, affecting the forecast value. Th
Model identification for hydrological forecasting under uncertainty
โ Scribed by Thorsten Wagener; Hoshin V. Gupta
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Weight
- 300 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1436-3240
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## Abstract In this study, a fuzzyโbased simulation method (FBSM) is developed for modelling hydrological processes associated with vague information through coupling fuzzy vertex analysis technique with distributed hydrological model. The FBSM can handle uncertainties existed as fuzzy sets in the
Complex models are often used to make predictions of environmental effects over a broad range of temporal and spatial scales. The data necessary to adequately estimate the parameters of these complex models are often not available. Monte Carlo filtering, the process of rejecting sets of model simula