spatial: Spatial Average of a Field Object.

In metno/esd.test: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data.

Description

Computes the spatial average of a field object and return a zoo time series object.

Usage

spatial.avg.field(x,...)

Arguments

x	A zoo field object with two (longitude, latitude) or three dimensions (longitude, latitude, time)

Value

A "zoo" "time series" object

Author(s)

A. Mezghani, MET Norway

See Also

retrieve.ncdf4

Examples

## Not run: 
# Consider the "gcm" object from the e.g. in \link{retrieve.ncdf4}
# Compute the spatial average along lon and lat in gcm2
gcm2 <- spatial.avg.field(gcm)
# keep all attributes in gcm2
gcm2 <- attrcp(gcm,gcm2)
# Compute the annual mean 
gcm.am <- as.annual(gcm2,FUN=mean,na.rm=TRUE)
# keep all attributes in gcm.am
gcm.am <- attrcp(gcm2,gcm.am)
year <- index(gcm.am)
# Compute the anomalies relative to the period 1986-2005
agcm.ave <- gcm.am-mean(gcm.am[is.element(as.numeric(year),c(1986:2005))])
agcm.ave <- attrcp(gcm.am,agcm.ave)
# plot anomaly time series of the global mean temperature 
frame.metno(agcm.ave,col="black",cex.lab=0.75,cex.axis=0.75) ! Should be
  updated !
# Add vertical margin text with y-label
mtext("Anomaly values relative to 1986-2005",side=2,line=2,cex=0.75,las=3)

## End(Not run)

metno/esd.test documentation built on May 22, 2019, 7:49 p.m.