precip.dep: Cumulative precipitation departure

In seas: Seasonal Analysis and Graphics, Especially for Climatology

Cumulative precipitation departure

Description

Calculate the cumulative precipitation departure (CPD) for a station with a given precipitation normal.

Usage

precip.dep(x, norm, var = "precip")

Arguments

x	a seasonal data.frame of climate data
norm	a precip.norm object containing the precipitation normal for the same station as x
var	a common seasonal variable found in x and norm

Details

This function is useful for looking at the behaviour of a precipitation time-series in relation to its precipitation normal over an extended period of time. This is especially useful for identifying changes in precipitation, and is useful for relating to groundwater recharge patterns.

Value

Returns a data.frame similar to x, but contains the departures in the dep column.

Note

The selection of fun in precip.norm, such as using mean or median, will affect the result of this function; width has only a minor effect.

Periods with missing (NA) values in var of x will have a flat departure, neither increasing nor decreasing.

Author(s)

Mike Toews

See Also

precip.norm

Examples

data(mscstn)
data(mscdata)

dat <- mksub(mscdata, id=1108447)
dat.ss <- seas.sum(dat)
dat.dep <- precip.dep(dat,precip.norm(dat.ss, fun="mean"))
plot(dep ~ date, dat.dep, type="l", main="CPD from mean normals")

dat.dep <- precip.dep(dat, precip.norm(dat.ss, fun="median"))
plot(dep ~ date, dat.dep, type="l", main="CPD from median normals")

seas documentation built on May 2, 2022, 5:08 p.m.