Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment

@article{Ghosh2007NonparametricMF,
  title={Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment},
  author={Subimal Ghosh and Pradeep P. Mujumdar},
  journal={Water Resources Research},
  year={2007},
  volume={43}
}
Hydrologic implications of global climate change are usually assessed by downscaling appropriate predictors simulated by general circulation models (GCMs). Results from GCM simulations are subjected to a number of uncertainties due to incomplete knowledge about the underlying geophysical processes of global change (GCM uncertainties) and due to uncertain future scenarios (scenario uncertainties). With a relatively small number of GCMs available and a finite number of scenarios simulated by them… 

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