Sentences with phrase «hydrological model uncertainty»

Methodological advances since the TAR have focused on exploring the effects of different ways of downscaling from the climate model scale to the catchment scale (e.g., Wood et al., 2004), the use of regional climate models to create scenarios or drive hydrological models (e.g., Arnell et al., 2003; Shabalova et al., 2003; Andreasson et al., 2004; Meleshko et al., 2004; Payne et al., 2004; Kay et al., 2006b; Fowler et al., 2007; Graham et al., 2007a, b; Prudhomme and Davies, 2007), ways of applying scenarios to observed climate data (Drogue et al., 2004), and the effect of hydrological model uncertainty on estimated impacts of climate change (Arnell, 2005).
In general, these studies have shown that different ways of creating scenarios from the same source (a global - scale climate model) can lead to substantial differences in the estimated effect of climate change, but that hydrological model uncertainty may be smaller than errors in the modelling procedure or differences in climate scenarios (Jha et al., 2004; Arnell, 2005; Wilby, 2005; Kay et al., 2006a, b).

Not exact matches

Uncertainties in the hydrological cycle due to land surface parameterizations can be divided into uncertainties from the spatial distribution of vegetation and from the model paraUncertainties in the hydrological cycle due to land surface parameterizations can be divided into uncertainties from the spatial distribution of vegetation and from the model parauncertainties from the spatial distribution of vegetation and from the model parameter values.
On the Relationship Between Uncertainties in Tropical Divergence and the Hydrological Cycle in Global Models
``... since uncertainty is a structural component of climate and hydrological systems, Anagnostopoulos et al. (2010) found that large uncertainties and poor skill were shown by GCM predictions without bias correction... it can not be addressed through increased model complexity....
Contribution from working group I to the fifth assessment report by IPCC TS.5.4.1 Projected Near - term Changes in Climate Projections of near - term climate show small sensitivity to Green House Gas scenarios compared to model spread, but substantial sensitivity to uncertainties in aerosol emissions, especially on regional scales and for hydrological cycle variables.
In his talk, «Statistical Emulation of Streamflow Projections: Application to CMIP3 and CMIP5 Climate Change Projections,» PCIC Lead of Hydrological Impacts, Markus Schnorbus, explored whether the streamflow projections based on a 23 - member hydrological ensemble are representative of the full range of uncertainty in streamflow projections from all of the models from the third phase of the Coupled Model IntercompariHydrological Impacts, Markus Schnorbus, explored whether the streamflow projections based on a 23 - member hydrological ensemble are representative of the full range of uncertainty in streamflow projections from all of the models from the third phase of the Coupled Model Intercomparihydrological ensemble are representative of the full range of uncertainty in streamflow projections from all of the models from the third phase of the Coupled Model Intercomparison Project.
In addition, despite our effort to characterize and possibly minimize the climatic uncertainty, one should be aware of other sources of uncertainty (e.g., in the hydrological and hydraulic modeling, in the space - time discretization, in the impact model, among others) which affect complex modeling framework such as the one presented in this work.
Uncertainties in the hydrological cycle due to land surface parameterizations can be divided into uncertainties from the spatial distribution of vegetation and from the model paraUncertainties in the hydrological cycle due to land surface parameterizations can be divided into uncertainties from the spatial distribution of vegetation and from the model parauncertainties from the spatial distribution of vegetation and from the model parameter values.
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