Statistical values over a field

This module computes statistical values of all input fields. A field is a horizontal layer of a data variable. Depending on the chosen operator, the minimum, maximum, range, sum, integral, average, standard deviation, variance, skewness, kurtosis, median or a certain percentile of the field is written to outfile.

Usage

cdo_fldavg(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldcount(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldint(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldkurt(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldmax(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldmean(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldmedian(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldmin(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldpctl(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldrange(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldskew(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldstd(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldstd1(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldsum(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldvar(ifile, weights = NULL, p = NULL, ofile = NULL)

cdo_fldvar1(ifile, weights = NULL, p = NULL, ofile = NULL)

Arguments

ifile

String with the path to the input file.

weights

BOOL - weights=FALSE disables weighting by grid cell area [default: weights=TRUE]

p

FLOAT - Percentile number in {0, ..., 100}

ofile

String with the path to the output file.

Details

fldmin     Field minimum
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = min\{i(t,x'), x_1<x'<=x_n\}
fldmax     Field maximum
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = max\{i(t,x'), x_1<x'<=x_n\}
fldrange   Field range
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = range\{i(t,x'), x_1<x'<=x_n\}
fldsum     Field sum
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = sum\{i(t,x'), x_1<x'<=x_n\}
fldint     Field integral
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = sum\{i(t,x')*cellarea(x'), x_1<x'<=x_n\}
fldmean    Field mean
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = mean\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldavg     Field average
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = avg\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldstd     Field standard deviation
           Normalize by n. For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = std\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldstd1    Field standard deviation (n-1)
           Normalize by (n-1). For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = std1\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldvar     Field variance
           Normalize by n. For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = var\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldvar1    Field variance (n-1)
           Normalize by (n-1). For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = var1\{i(t,x'), x_1<x'<=x_n\}
           weighted by area weights obtained by the input field.
fldskew    Field skewness
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = skew\{i(t,x'), x_1<x'<=x_n\}
fldkurt    Field kurtosis
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = kurt\{i(t,x'), x_1<x'<=x_n\}
fldmedian  Field median
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = median\{i(t,x'), x_1<x'<=x_n\}
fldcount   Field count
           Number of non-missing values of the field.
fldpctl    Field percentiles
           For every gridpoint x_1, ..., x_n of the same field it is:

           o(t,1) = pth percentile \{i(t,x'), x_1<x'<=x_n\}