Fourier Analysis of Discharge Data
Calculate all characteristic stats for a site
Calculate annual extreme flows.
Annual noise color
Check for equal length inputs
Check for.year
argument
Check for numeric vector
Create streamflow object
Estimate directional statistics for one-sigma events
Compare residual variability across time periods
Etowah River Data
Discrete Fourier Transform Metrics
Summary of spectral anomolies for a specified year.
Filter the baseline signal for a given time window
Find median value
Extract seasonal signal from time series
Flood Pulse Extent (FPExt)
High Spectral Anomaly Frequency (HSAF)
High Spectral Anomaly Mangitude (HSAM)
Inter-Draught Interval (IDI)
Inter-Flood Interval (IFI)
Low Spectral Anomaly Frequency (LSAF)
Low Spectral Anomaly Mangitude (LSAM)
Net Annual Anomaly (NAA)
Signal parts
Time of occurence of High Spectral Anomaly Magnitude (HSAM)
Time of occurence of Low Spectral Anomaly Magnitude (LSAM)
Transition Time
Independent high- or low-flow events
Find 2- and 10-year return levels
Calculate all characteristic stats from a list of files
Build baseline signal
Plot annual extreme residuals
Plot events by day of the year
Estimate catastrophic flow variability
Estimate catastrophic flow variability
Sycamore Creek Data
Computes discrete fast Fourier transform of river discharge data and the derived metrics. The methods are described in J. L. Sabo, D. M. Post (2008) <doi:10.1890/06-1340.1> and J. L. Sabo, A. Ruhi, G. W. Holtgrieve, V. Elliott, M. E. Arias, P. B. Ngor, T. A. Räsänsen, S. Nam (2017) <doi:10.1126/science.aao1053>.