Statistical downscaling of GCM simulations to streamflow using relevance vector machine

@article{Ghosh2008StatisticalDO,
  title={Statistical downscaling of GCM simulations to streamflow using relevance vector machine},
  author={S. Ghosh and P. Mujumdar},
  journal={Advances in Water Resources},
  year={2008},
  volume={31},
  pages={132-146}
}
  • S. Ghosh, P. Mujumdar
  • Published 2008
  • Environmental Science
  • Advances in Water Resources
  • General circulation models (GCMs), the climate models often used in assessing the impact of climate change, operate on a coarse scale and thus the simulation results obtained from GCMs are not particularly useful in a comparatively smaller river basin scale hydrology. The article presents a methodology of statistical downscaling based on sparse Bayesian learning and Relevance Vector Machine (RVM) to model streamflow at river basin scale for monsoon period (June, July, August, September) using… CONTINUE READING
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