A first version of nationally covering hydrological statistics for Sweden based on the S-HYPE hydrological model for the period 1961–2010 is described. A key feature of the proposed method is that observed data are used as input wherever such data are available, and the model is used for interpolation in between stations. Short observation records are automatically extended by the use of the model. High flow statistics typically differed by about ±10% from observations. The corresponding number for low flow was about ±30%. High flow peaks were usually simulated slightly too low whereas low flows were too high. In a relative sense low flows were more uncertain than high flows. The mean flow was relatively certain. The annual maximum values were fitted to a Gumbel distribution, by the method of moments, for each subbasin. Flood statistics were then calculated up to a return period of 50 years. According to a Kolmogorov–Smirnov test, less than 1% of the fitted distributions were rejected. Most rejections occurred in regulated systems, due to difficulties in simulating regulation strategies, but also due to uncertainties in the precipitation input in the mountainous region. Results at small scale are very uncertain. The proposed method is a cost-effective way of calculating hydrological statistics with high spatial resolution.
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Research Article|
November 08 2013
Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE
Marie Bergstrand;
1Swedish Meteorological and Hydrological Institute, S-60176 Norrköping, Sweden
E-mail: [email protected]
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Sara-Sofia Asp;
Sara-Sofia Asp
1Swedish Meteorological and Hydrological Institute, S-60176 Norrköping, Sweden
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Göran Lindström
Göran Lindström
1Swedish Meteorological and Hydrological Institute, S-60176 Norrköping, Sweden
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Hydrology Research (2014) 45 (3): 349–356.
Article history
Received:
January 09 2013
Accepted:
September 20 2013
Citation
Marie Bergstrand, Sara-Sofia Asp, Göran Lindström; Nationwide hydrological statistics for Sweden with high resolution using the hydrological model S-HYPE. Hydrology Research 1 June 2014; 45 (3): 349–356. doi: https://doi.org/10.2166/nh.2013.010
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