Inductive machine learning for improved estimation of catchment-scale snow water equivalent

@article{Buckingham2015InductiveML,
  title={Inductive machine learning for improved estimation of catchment-scale snow water equivalent},
  author={D. Buckingham and C. Skalka and J. Bongard},
  journal={Journal of Hydrology},
  year={2015},
  volume={524},
  pages={311-325}
}
  • D. Buckingham, C. Skalka, J. Bongard
  • Published 2015
  • Geology
  • Journal of Hydrology
  • Summary Infrastructure for the automatic collection of single-point measurements of snow water equivalent ( SWE ) is well-established. However, because SWE varies significantly over space, the estimation of SWE at the catchment scale based on a single-point measurement is error-prone. We propose low-cost, lightweight methods for near-real-time estimation of mean catchment-wide SWE using existing infrastructure, wireless sensor networks, and machine learning algorithms. Because snowpack… CONTINUE READING

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