Climate change impact assessment: Uncertainty modeling with imprecise probability

@article{Ghosh2009ClimateCI,
  title={Climate change impact assessment: Uncertainty modeling with imprecise probability},
  author={S. Ghosh and P. Mujumdar},
  journal={Journal of Geophysical Research},
  year={2009},
  volume={114}
}
  • S. Ghosh, P. Mujumdar
  • Published 2009
  • Environmental Science
  • Journal of Geophysical Research
  • Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Model (GCM) output of large-scale climate variables to local-scale hydrologic variables. Such an assessment is characterized by uncertainty resulting from the ensembles of projections generated with multiple GCMs, which is known as intermodel or GCM uncertainty. Ensemble averaging with the assignment of weights to GCMs based on model evaluation is one of the methods to address such uncertainty and… CONTINUE READING
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    References

    SHOWING 1-10 OF 43 REFERENCES
    Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment
    • 112
    • PDF
    A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK
    • 774
    Modeling GCM and scenario uncertainty using a possibilistic approach: Application to the Mahanadi River, India
    • 102
    • PDF
    Quantification of modelling uncertainties in a large ensemble of climate change simulations
    • 1,502
    • PDF