yseasstat: Multiyear seasonal statistics

In rcdo: Wrapper of 'CDO' Operators

Multiyear seasonal statistics

Description

This module computes statistical values of each season. Depending on the chosen operator the minimum, maximum, range, sum, average, variance or standard deviation of each season in infile is written to outfile. The date information in an output field is the date of the last contributing input field.

Usage

cdo_yseasavg(ifile, ofile = NULL)

cdo_yseasmax(ifile, ofile = NULL)

cdo_yseasmean(ifile, ofile = NULL)

cdo_yseasmin(ifile, ofile = NULL)

cdo_yseasrange(ifile, ofile = NULL)

cdo_yseasstd(ifile, ofile = NULL)

cdo_yseasstd1(ifile, ofile = NULL)

cdo_yseassum(ifile, ofile = NULL)

cdo_yseasvar(ifile, ofile = NULL)

cdo_yseasvar1(ifile, ofile = NULL)

Arguments

ifile	String with the path to the input file.
ofile	String with the path to the output file.

Details

yseasmin    Multi-year seasonal minimum
            o(1,x) = min\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = min\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = min\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = min\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasmax    Multi-year seasonal maximum
            o(1,x) = max\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = max\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = max\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = max\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasrange  Multi-year seasonal range
            o(1,x) = range\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = range\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = range\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = range\{i(t,x), month(i(t)) = 09, 10, 11\}
yseassum    Multi-year seasonal sum
            o(1,x) = sum\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = sum\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = sum\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = sum\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasmean   Multi-year seasonal mean
            o(1,x) = mean\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = mean\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = mean\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = mean\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasavg    Multi-year seasonal average
            o(1,x) = avg\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = avg\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = avg\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = avg\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasstd    Multi-year seasonal standard deviation
            o(1,x) = std\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = std\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = std\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = std\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasstd1   Multi-year seasonal standard deviation (n-1)
            o(1,x) = std1\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = std1\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = std1\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = std1\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasvar    Multi-year seasonal variance
            o(1,x) = var\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = var\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = var\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = var\{i(t,x), month(i(t)) = 09, 10, 11\}
yseasvar1   Multi-year seasonal variance (n-1)
            o(1,x) = var1\{i(t,x), month(i(t)) = 12, 01, 02\}
            o(2,x) = var1\{i(t,x), month(i(t)) = 03, 04, 05\}
            o(3,x) = var1\{i(t,x), month(i(t)) = 06, 07, 08\}
            o(4,x) = var1\{i(t,x), month(i(t)) = 09, 10, 11\}

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.

rcdo documentation built on June 8, 2025, 12:36 p.m.