POR_distribution_metrics {HyMETT} | R Documentation |
Calculates various metrics that describe the distribution of a time series of streamflow
Description
Calculates various metrics that describe the distribution of a time series of streamflow, which can be of any time step.
Usage
POR_distribution_metrics(value, quantile_type = 8, na.rm = TRUE)
Arguments
value |
'numeric' vector of values (assumed to be streamflow) at any time step. |
quantile_type |
'numeric' value. The distribution type used in the |
na.rm |
'boolean' |
Details
Metrics computed include:
p_
nFlow-duration curve (FDC) percentile where n = 1, 5, 10, 25, 50, 75, 90, 95, and 99
POR_mean
Period of record mean
POR_sd
Period of record standard deviation
POR_cv
Period of record coefficient of variation
POR_min
Period of record minimum
POR_max
Period of record maximum
LCV
L-moment coefficient of variation
Lskew
L-moment skewness
Lkurtosis
L-moment kurtosis
Value
A data.frame with FDC quantiles, and distribution metrics. See Details. This function calculates various metrics that describe the distribution of a time series of streamflow, which can be of any time step.
References
Farmer, W.H., Archfield, S.A., Over, T.M., Hay, L.E., LaFontaine, J.H., and Kiang, J.E., 2014, A comparison of methods to predict historical daily streamflow time series in the southeastern United States: U.S. Geological Survey Scientific Investigations Report 2014–5231, 34 p. [Also available at https://doi.org/10.3133/sir20145231.]
Asquith, W.H., Kiang, J.E., and Cohn, T.A., 2017, Application of at-site peak-streamflow frequency analyses for very low annual exceedance probabilities: U.S. Geological Survey Scientific Investigation Report 2017–5038, 93 p. [Also available at https://doi.org/10.3133/sir20175038.]
Asquith, W.H., 2021, lmomco—L-moments, censored L-moments, trimmed L-moments,
L-comoments, and many distributions. R package version 2.3.7, Texas Tech University,
Lubbock, Texas.
See Also
Examples
POR_distribution_metrics(value = example_obs$streamflow_cfs)