Stream ̄ ow characterization and feature detection using a discrete wavelet transform

  title={Stream ̄ ow characterization and feature detection using a discrete wavelet transform},
  author={Laurence C. Smith and Donald L. Turcotte and Bryan L. Isacks},
An exploration of the wavelet transform as applied to daily river discharge records demonstrates its strong potential for quantifying stream ̄ow variability. Both periodic and non-periodic features are detected equally, and their locations in time preserved. Wavelet scalograms often reveal structures that are obscure in raw discharge data. Integration of transform magnitude vectors over time yields wavelet spectra that re ̄ect the characteristic time-scales of a river's ̄ow, which in turn are… CONTINUE READING
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