rain.site.6008 {FeedbackTS}

Rainfall data at Callagiddy station

Description

Rainfall data at Callagiddy station in Western Australia (meteorological station with identifier 6008).

Usage

data(rain.site.6008)

Format

A data frame with 36615 observations on the following 5 variables.

Station.Number

a numeric vector providing the identifier of the meteorological station.

Year

a numeric vector specifying the year of each observation.

Month

a numeric vector specifying the month in the year of each observation.

Day

a numeric vector specifying the day in the month of each observation.

Precipitation.in.the.24.hours.before.9am..local.time..in.mm

a numeric vector providing the precipitation level in the 24 hours before 9am, local time, in mm.

Source

Soubeyrand, S., Morris, C. E. and Bigg, E. K. (2014). Analysis of fragmented time directionality in time series to elucidate feedbacks in climate data. Environmental Modelling and Software 61: 78-86.

References

Soubeyrand, S., Morris, C. E. and Bigg, E. K. (2014). Analysis of fragmented time directionality in time series to elucidate feedbacks in climate data. Environmental Modelling and Software 61: 78-86.

Examples

#### load data for site 6008 (Callagiddy station)
data(rain.site.6008)

#### build KDD object from raw data (site 6008: Callagiddy station)
## using a threshold value equal to 0 to keep all days
KDDno=kdd.from.raw.data(raw.data=rain.site.6008,keyday.threshold=0,nb.days=20,
   col.series=5,col.date=c(2,3,4),na.rm=TRUE,filter=NULL)

#### compute after-before differences and plot the whole data series
plot(KDDno["day"],KDDno["before.after"][21,],type="l",xlab="Day",ylab="Daily rainfall")
   axis(3,at=c(1,365*30,365*60,365*90),labels=KDDno["year"][1]+c(0,30,60,90))