Seasonal streamflow forecast: a GCM multi-model downscaling approach
Author
Summary, in English
This work investigates the predictability of seasonal to inter-annual streamflow over several river basins in Norway through the use of multi-model ensembles. As general circulation models (GCMs) do not explicitly simulate streamflow, a statistical link is made between GCM-forecast fields generated in December and average streamflow in the melting season May-June. By using the Climate Predictability Tool (CPT) three models were constructed and from these a multi-model was built. The multi-model forecast is tested against climatology to determine the quality of the forecast. Results from the forecasts show that the multi-model performs better than the individual models and that this method shows improved forecast skills if compared to previous studies conducted in the same basins. The highest forecast skills are found for basins located in the southwest of Norway. The physical interpretation for this is that stations on the windward side of the Scandinavian mountains are exposed to the prevailing winds from the Atlantic Ocean, a principal source of predictive information from the atmosphere on this timescale.
Department/s
Publishing year
2010
Language
English
Pages
503-507
Publication/Series
Hydrology Research
Volume
41
Issue
6
Document type
Journal article
Publisher
IWA Publishing
Topic
- Water Engineering
Keywords
- downscaling
- canonical correlation analysis
- climate predictability tool
- general circulation model
Status
Published
ISBN/ISSN/Other
- ISSN: 1998-9563