2010
DOI: 10.1080/02626667.2010.513211
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Are climate models “ready for prime time” in water resources management applications, or is more research needed?

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Cited by 206 publications
(125 citation statements)
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“…The WaterGAP model provides a scientifically-sound basis for future hydrological predictions when coupled with stakeholder-based scenarios. We are mindful of the uncertainties of using the GCM results (Anagnostopoulos et al 2010) as well as downscaling of the GCM scenarios to hydrological models (Kundzewicz and Stakhiv 2010), and of the importance of other variables in determining wetlands' character and ultimately the services they provide, including temperature, geology and lithology, and management practices. It means that future case studies for different hydrological, morphological and ecological settings are required to understand the underlying mechanisms and develop mitigation strategies.…”
Section: Discussionmentioning
confidence: 99%
“…The WaterGAP model provides a scientifically-sound basis for future hydrological predictions when coupled with stakeholder-based scenarios. We are mindful of the uncertainties of using the GCM results (Anagnostopoulos et al 2010) as well as downscaling of the GCM scenarios to hydrological models (Kundzewicz and Stakhiv 2010), and of the importance of other variables in determining wetlands' character and ultimately the services they provide, including temperature, geology and lithology, and management practices. It means that future case studies for different hydrological, morphological and ecological settings are required to understand the underlying mechanisms and develop mitigation strategies.…”
Section: Discussionmentioning
confidence: 99%
“…It is well known that present climate models contain considerable biases in their climatology and do not fit gridded station data well (Kundzewicz and Stakhiv 2010). To reduce the GCM biases, various "bias correction" methods were developed.…”
Section: Projections For 2050smentioning
confidence: 99%
“…Anagnostopoulos et al (2010) showed that GCMs, on their own, cannot accurately reconstruct the past even at sub-continental to continental scales, and perform poorly at regional scales. This is one of the reasons why Kundzewicz and Stakhiv (2010) concluded that climate models are not yet "ready for prime time" in water resources management applications. In contrast, the hydrological models widely used by the water science community have undergone decades of peer review, testing and application in a wide range of conditions all over the globe.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the reported and widely-discussed uncertainty of GCMs and RCMs (e.g. Anagnostopoulos et al 2010;Kundzewicz and Stakhiv 2010;Wilby 2005Wilby , 2010, the authors of this paper state that the results presented herein on prospective climate change (including hypothetical "mild" and "extreme" scenarios) should not be considered as forecasts, but as a scientifically and statistically-based background for the analysis of possible, climate-induced impacts on environmental and socio-economic aspects of the Biebrza Valley. The "mild" scenario ( Fig.…”
Section: Mild Vs Extremementioning
confidence: 99%