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discharge (version 1.0.0)

Fourier Analysis of Discharge Data

Description

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) and J. L. Sabo, A. Ruhi, G. W. Holtgrieve, V. Elliott, M. E. Arias, P. B. Ngor, T. A. Rsnsen, S. Nam (2017) .

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Version

Install

install.packages('discharge')

Monthly Downloads

139

Version

1.0.0

License

GPL-3

Maintainer

Samarth Shah

Last Published

March 8th, 2019

Functions in discharge (1.0.0)

Find median value

Time of occurence of High Spectral Anomaly Magnitude (HSAM)

fourierAnalysis

Extract seasonal signal from time series

Time of occurence of Low Spectral Anomaly Magnitude (LSAM)

Flood Pulse Extent (FPExt)

Low Spectral Anomaly Frequency (LSAF)

Low Spectral Anomaly Mangitude (LSAM)

assert.numeric.vector

Check for numeric vector

Estimate directional statistics for one-sigma events

Net Annual Anomaly (NAA)

prepareBaseline

Build baseline signal

compare.periods

Compare residual variability across time periods

residplot.extreme

Plot annual extreme residuals

Etowah River Data

Discrete Fourier Transform Metrics

Summary of spectral anomolies for a specified year.

Estimate catastrophic flow variability

Estimate catastrophic flow variability

Calculate all characteristic stats for a site

Calculate annual extreme flows.

High Spectral Anomaly Frequency (HSAF)

High Spectral Anomaly Mangitude (HSAM)

Find 2- and 10-year return levels

parameters.list

Calculate all characteristic stats from a list of files

Annual noise color

Create streamflow object

Inter-Draught Interval (IDI)

Inter-Flood Interval (IFI)

getTransitionTime

Transition Time

independentEvents

Independent high- or low-flow events

sigmaeventsplot

Plot events by day of the year

Sycamore Creek Data

assert.for.year

Check for.year argument

assert.equal.length

Check for equal length inputs

Filter the baseline signal for a given time window