Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 443790
Title Seasonal forecast of cooling water problems in the River Rhine
Author(s) Rutten, M.; Giesen, N. van de; Baptist, M.J.; Icke, J.; Uijtewaal, W.
Source Hydrological Processes 22 (2008)7. - ISSN 0885-6087 - p. 1037 - 1045.
Department(s) IMARES Ecosystemen
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) sea-surface temperature - europe - precipitation - prediction - skill - flow
Abstract Cooling water scarcity in the River Rhine due to low flows during summer and high water temperatures may endanger power supply in the Netherlands and Germany. This research addresses the feasibility of early warning for cooling water problems on a seasonal timescale using large-scale oceanic and atmospheric patterns as predictors. The correlation strength, stability as well as probabilistic skill of possible teleconnections were assessed. The strongest teleconnection was found between January North Atlantic Oscillation (NAO) and August water temperatures. The evaluated teleconnections between NAO and El Niño Southern Oscillation (ENSO) and discharge do not increase skill compared to only using information on discharge itself in the winter and spring months. In pseudo-operational context model results were shown to be very sensitive to the choice of predictor selection criteria significance and stability. Though for some responses statistically significant forecasts were found, discussion and research with stakeholders about handling risk levels and probabilistic forecasts would be required to assess the practical significance of the forecasts.
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