Hi,
Recently I started working with netcdf IPCC climate model data and I am
using R to analyze these data. Some problems occur while doing this, as
I am using the output of different climate models which are different in
for example time calendar and grid coordinates.
To analyze monthly means I have been using the function /chron/ for 365
day calendar time series. Originally the time is in numbers
(1,2....,14600). This is for the timeperiod: 1961-2000.
library(chron)
syntime <- var.get.nc(nc, "time")
time =chron(syntime, origin=c(month=1, day=1, year=1961))
jan <- months(time)=="Jan"
feb <- months(time)=="Feb"
mar <- months(time)=="Mar"
apr <- months(time)=="Apr"
may <- months(time)=="May"
jun <- months(time)=="Jun"
jul <- months(time)=="Jul"
aug <- months(time)=="Aug"
sep <- months(time)=="Sep"
oct <- months(time)=="Oct"
nov <- months(time)=="Nov"
dec <- months(time)=="Dec
Now I can use for example mean(pr[jan]) to get the monthly average of
precipitation (pr) for January.
However, I cannot find how I can change the 365 day in a 360 day
calendar for the 360-day data that I have (the 360-day calendar has
10799 days for the same 1961-2000 period). Is there anyone who can help
me with this problem?
Thank you in advance.
Kind regards,
Saskia van Pelt
