EmpiricalCN: Calculate the Curve Number from time series data (P and Q)

View source: R/EmpiricalCN.R

EmpiricalCNR Documentation

Calculate the Curve Number from time series data (P and Q)

Description

Calculate the Curve Number from time series data (P and Q)

Usage

EmpiricalCN(tseries, stepsBack = 5, hours2extend = 6, timeUnits = "hours",
  verbose = FALSE)

Arguments

tseries

time series object containing, at least, precipitation ("P") and discharge ("Q")

stepsBack

timesteps to use to generate the linear model for the volume under the rising limb (default = 5)

hours2extend

number of hours to extend the rainfall event to account for the discharge peak to occur (default = 6)

timeUnits

time step units (default = "hours")

verbose

(optional) boolean (FALSE by default). If TRUE prints the progress in terms of event number.

Value

Empirical Curve Number for a given catchment, this is an integer in the range [0,100] with 0 = no runoff and 100 = all rainfall becomes runoff.

Examples

## Not run: 
  data("SevernTS")
  severnCN <- EmpiricalCN(tseries = SevernTS)

## End(Not run)


cvitolo/curvenumber documentation built on April 19, 2022, 3:33 a.m.