• DOI:10.1029/2006WR005351
Corpus ID: 55313755

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={S. Ghosh and P. Mujumdar},
  journal={Water Resources Research},
  year={2007},
  volume={43}
}

S. Ghosh, P. Mujumdar

Published 2007

Environmental Science, Geology

Water Resources Research

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… CONTINUE READING

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