SYNTAX
ncea [-3] [-4] [-6] [-A] [-C] [-c] [-D dbg] [-d dim,[ min][,[ max]]] [-F] [-h] [-L dfl_lvl] [-l path] [-n loop] [-O] [-p path] [-R] [-r] [-t thr_nbr] [-v var[,...]] [-X box] [-x] [-y op_typ] input-files output-fileDESCRIPTION
ncea performs gridpoint averages of variables across an arbitrary number (an ensemble) of input files, with each file receiving an equal weight in the average. Each variable in the output-file will be the same size as the same variable in any one of the in the input-files, and all input-files must be the same size. Whereas ncra only performs averages over the record dimension (e.g., time), and weights each record in the record dimension evenly, ncea averages entire files, and weights each file evenly. All dimensions, including the record dimension, are treated identically and preserved in the output-file.
The file is the logical unit of organization for the results of many scientific studies. Often one wishes to generate a file which is the gridpoint average of many separate files. This may be to reduce statistical noise by combining the results of a large number of experiments, or it may simply be a step in a procedure whose goal is to compute anomalies from a mean state. In any case, when one desires to generate a file whose properties are the mean of all the input files, then ncea is the operator to use. ncea assumes coordinate variable are properties common to all of the experiments and so does not average them across files. Instead, ncea copies the values of the coordinate variables from the first input file to the output file.
EXAMPLES
Consider a model experiment which generated five realizations of one year of data, say 1985. You can imagine that the experimenter slightly perturbs the initial conditions of the problem before generating each new solution. Assume each file contains all twelve months (a seasonal cycle) of data and we want to produce a single file containing the ensemble average (mean) seasonal cycle. Here the numeric filename suffix denotes the experiment number (not the month):
-
ncea 85_01.nc 85_02.nc 85_03.nc 85_04.nc 85_05.nc 85.nc
ncea 85_0[1-5].nc 85.nc
ncea -n 5,2,1 85_01.nc 85.nc
In the previous example, the user could have obtained the ensemble average values in a particular spatio-temporal region by adding a hyperslab argument to the command, e.g.,
- ncea -d time,0,2 -d lat,-23.5,23.5 85_??.nc 85.nc
AUTHOR
NCO manual pages written by Charlie Zender and Brian Mays.
COPYRIGHT
Copyright © 1995-2010 Charlie ZenderThis is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.