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NAME

       ncbo - netCDF Binary Operator

SYNTAX

       ncbo  [-3]  [-4]  [-6] [-A] [-C] [-c] [-D dbg] [-d dim,[ min][,[ max]]]
       [-F] [-h] [-L dfl_lvl] [-l path] [-O] [-p path] [-R] [-r] [-t  thr_nbr]
       [-v var[,...]]  [-X box] [-x] file_1 file_2 file_3

DESCRIPTION

       ncbo  subtracts  variables  in  file_2 from the corresponding variables
       (those with the same name) in file_1 and stores the results in  file_3.
       Variables  in  file_2  are  broadcast  to  conform to the corresponding
       variable  in  file_1  if  necessary.   Broadcasting  a  variable  means
       creating  data  in  non-existing  dimensions  from the data in existing
       dimensions.  For example, a two dimensional variable in file_2  can  be
       subtracted from a four, three, or two (but not one or zero) dimensional
       variable (of the same name) in file_1.  This functionality  allows  the
       user to compute anomalies from the mean.  Note that variables in file_1
       are not broadcast to conform to the dimensions in file_2.  Thus,  ncbo,
       the  number of dimensions, or rank, of any processed variable in file_1
       must be greater than or equal to the  rank  of  the  same  variable  in
       file_2.   Furthermore, the size of all dimensions common to both file_1
       and file_2 must be equal.

       When computing anomalies from the mean it is often the case that file_2
       was  created  by applying an averaging operator to a file with the same
       dimensions as file_1, if not file_1 itself.  In these  cases,  creating
       file_2  with  ncra  rather  than  ncwa will cause the ncbo operation to
       fail.  For concreteness say the record dimension in file_1 is time.  If
       file_2  were  created  by averaging file_1 over the time dimension with
       the ncra operator rather than with the ncwa operator, then file_2  will
       have a time dimension of size 1 rather than having no time dimension at
       all In this case the input files to ncbo, file_1 and file_2, will  have
       unequally  sized time dimensions which causes ncbo to fail.  To prevent
       this from occuring, use ncwa to remove the time dimension from  file_2.
       An example is given below.

       ncbo  will  never  difference coordinate variables or variables of type
       NC_CHAR or NC_BYTE.  This ensures that coordinates like (e.g., latitude
       and  longitude)  are  physically meaningful in the output file, file_3.
       This behavior is hardcoded.  ncbo applies special rules  to  some  NCAR
       CSM  fields  (e.g.,  ORO).   See  NCAR  CSM  Conventions for a complete
       description.  Finally,  we  note  that  ncflint  (ncflint  netCDF  File
       Interpolator)  can  be  also  perform  file  subtraction  (as  well  as
       addition, multiplication and interpolation).

EXAMPLES

       Say files 85_0112.nc and 86_0112.nc each contain  12  months  of  data.
       Compute the change in the monthly averages from 1985 to 1986:
              ncbo 86_0112.nc 85_0112.nc 86m85_0112.nc

       The  following  examples  demonstrate the broadcasting feature of ncbo.
       Say we wish to compute the monthly  anomalies  of  T  from  the  yearly
       average  of T for the year 1985.  First we create the 1985 average from
       the monthly data, which is stored with the record dimension time.
              ncra 85_0112.nc 85.nc
              ncwa -O -a time 85.nc 85.nc
       The second command, ncwa, gets rid of the time dimension of size 1 that
       ncra  left  in  85.nc.   Now  none of the variables in 85.nc has a time
       dimension.  A quicker way to accomplish this is to use  ncwa  from  the
       beginning:
              ncwa -a time 85_0112.nc 85.nc
       We are now ready to use ncbo to compute the anomalies for 1985:
              ncbo -v T 85_0112.nc 85.nc t_anm_85_0112.nc
       Each  of  the  12  records in t_anm_85_0112.nc now contains the monthly
       deviation of T from the annual mean of T for each gridpoint.

       Say we wish to compute the monthly gridpoint anomalies from  the  zonal
       annual  mean.   A  zonal mean is a quantity that has been averaged over
       the longitudinal (or x) direction.  First we use ncwa to  average  over
       longitudinal  direction  lon,  creating  xavg_85.nc,  the zonal mean of
       85.nc.  Then we use ncbo to subtract the zonal annual  means  from  the
       monthly gridpoint data:
              ncwa -a lon 85.nc xavg_85.nc
              ncbo 85_0112.nc xavg_85.nc tx_anm_85_0112.nc
       Assuming  85_0112.nc  has  dimensions  time  and lon, this example only
       works if xavg_85.nc has no time or lon dimension.

       As a final example, say we have five years of monthly  data  (i.e.,  60
       months)  stored  in  8501_8912.nc  and  we  wish to create a file which
       contains the twelve month seasonal cycle of the average monthly anomaly
       from the five-year mean of this data.  The following method is just one
       permutation of many which will accomplish the same result.   First  use
       ncwa to create the file containing the five-year mean:
              ncwa -a time 8501_8912.nc 8589.nc
       Next  use  ncbo  to  create  a  file  containing the difference of each
       month’s data from the five-year mean:
              ncbo 8501_8912.nc 8589.nc t_anm_8501_8912.nc
       Now use ncks to group the five January anomalies together in one  file,
       and  use  ncra  to  create  the  average anomaly for all five Januarys.
       These commands are embedded in a shell loop so they  are  repeated  for
       all twelve months:
              foreach idx (01 02 03 04 05 06 07 08 09 10 11 12)
              ncks -F -d time,,,12 t_anm_8501_8912.nc foo.
              ncra foo. t_anm_8589_.nc
              end
       Note  that  ncra  understands  the  stride argument so the two commands
       inside the loop may be combined into the single command
              ncra -F -d time,,,12 t_anm_8501_8912.nc foo.
       Finally, use ncrcat to concatenate the 12 average monthly anomaly files
       into one twelve-record file which contains the entire seasonal cycle of
       the monthly anomalies:
              ncrcat t_anm_8589_??.nc t_anm_8589_0112.nc

AUTHOR

       NCO manual pages written by Charlie Zender and Brian Mays.

REPORTING BUGS

       Report bugs to <http://sf.net/bugs/?group_id=3331>.

COPYRIGHT

       Copyright © 1995-2010 Charlie Zender
       This is free software; see the source for copying conditions.  There is
       NO  warranty;  not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR
       PURPOSE.

SEE ALSO

       The full documentation for NCO is maintained as a Texinfo manual called
       the  NCO  Users  Guide.   Because  NCO  is mathematical in nature, the
       documentation  includes  TeX-intensive   portions   not   viewable   on
       character-based  displays.   Hence  the only complete and authoritative
       versions of the NCO Users Guide are the PDF  (recommended),  DVI,  and
       Postscript        versions        at       <http://nco.sf.net/nco.pdf>,
       <http://nco.sf.net/nco.dvi>,      and       <http://nco.sf.net/nco.ps>,
       respectively.     HTML    and    XML    versions   are   available   at
       <http://nco.sf.net/nco.html>      and      <http://nco.sf.net/nco.xml>,
       respectively.

       If  the  info and NCO programs are properly installed at your site, the
       command

              info nco

       should give you access to the complete  manual,  except  for  the  TeX-
       intensive portions.

HOMEPAGE

       The NCO homepage at <http://nco.sf.net> contains more information.