Statistical values over all timesteps

This module computes statistical values over all timesteps in infile. Depending on the chosen operator the minimum, maximum, range, sum, average, variance or standard deviation of all timesteps read from infile is written to outfile. The time of outfile is determined by the time in the middle of all contributing timesteps of infile. This can be change with the CDO option –timestat_date <first|middle|last>.

Usage

cdo_timavg(ifile, ofile = NULL)

cdo_timmax(ifile, ofile = NULL)

cdo_timmaxidx(ifile, ofile = NULL)

cdo_timmean(ifile, ofile = NULL)

cdo_timmin(ifile, ofile = NULL)

cdo_timminidx(ifile, ofile = NULL)

cdo_timrange(ifile, ofile = NULL)

cdo_timstd(ifile, ofile = NULL)

cdo_timstd1(ifile, ofile = NULL)

cdo_timsum(ifile, ofile = NULL)

cdo_timvar(ifile, ofile = NULL)

cdo_timvar1(ifile, ofile = NULL)

Arguments

ifile

String with the path to the input file.

ofile

String with the path to the output file.

Value

Operators that output one or more files return a character vector to the output files.

Operators that output an indefinite number of files return a string with the basename of the files.

Operatos that don't return filenames return a character vector with the string output.

Details

timmin     Time minimum
           o(1,x) = min\{i(t',x), t_1<t'<=t_n\}
timmax     Time maximum
           o(1,x) = max\{i(t',x), t_1<t'<=t_n\}
timminidx  Index of time minimum
           o(1,x) = minidx\{i(t',x), t_1<t'<=t_n\}
timmaxidx  Index of time maximum
           o(1,x) = maxidx\{i(t',x), t_1<t'<=t_n\}
timrange   Time range
           o(1,x) = range\{i(t',x), t_1<t'<=t_n\}
timsum     Time sum
           o(1,x) = sum\{i(t',x), t_1<t'<=t_n\}
timmean    Time mean
           o(1,x) = mean\{i(t',x), t_1<t'<=t_n\}
timavg     Time average
           o(1,x) = avg\{i(t',x), t_1<t'<=t_n\}
timstd     Time standard deviation
           Normalize by n.

           o(1,x) = std\{i(t',x), t_1<t'<=t_n\}
timstd1    Time standard deviation (n-1)
           Normalize by (n-1).

           o(1,x) = std1\{i(t',x), t_1<t'<=t_n\}
timvar     Time variance
           Normalize by n.

           o(1,x) = var\{i(t',x), t_1<t'<=t_n\}
timvar1    Time variance (n-1)
           Normalize by (n-1).

           o(1,x) = var1\{i(t',x), t_1<t'<=t_n\}