Provided by: libnetcdff-dev_4.6.0+really4.5.4+ds-3_amd64 bug

NAME

       netcdf - Unidata's Network Common Data Form (netCDF) library interface

SYNOPSIS

       include netcdf.inc

   Most Systems:
       f77 ...  -lnetcdf -lhdf5_hl -lhdf5 -lz -lm

   CRAY PVP Systems:
       f90 -dp -i64 ... -lnetcdf

       Complete  documentation  for  the  netCDF  libraries  can  be found at the netCDF website:
       https://www.unidata.ucar.edu/software/netcdf/.

LIBRARY VERSION

       This document describes versions 3 and 4 of Unidata netCDF data-access interface  for  the
       FORTRAN programming language.

       character*80 nf_inq_libvers(void)

              Returns  a  string  identifying  the version of the netCDF library, and when it was
              built, like: "3.1a of Aug 22 1996 12:57:47 $".

       The RCS ident(1) command will find a string like "$Id: @(#) netcdf library version 3.1a of
       Sep   6  1996 15:56:26 $" in the library. The SCCS what(1) command will find a string like
       "netcdf library version 3.1a of Aug 23 1996 16:07:40 $".

RETURN VALUES

       All netCDF functions (except nf_inq_libvers() and nf_strerror()) return an integer status.

       If this returned status value is not equal to NF_NOERR (zero), it indicates that an  error
       occurred. The possible status values are defined in netcdf.inc.

       character*80 nf_strerror(integer status)

              Returns  a  string  textual  translation  of  the  status value, like "Attribute or
              variable name contains illegal characters" or "No such file or directory".

FILE OPERATIONS

       integer function nf_create(character*(*) path, integer cmode, integer ncid)

              Creates a new netCDF dataset at path, returning a netCDF ID in ncid.  The  argument
              cmode  may  include  the bitwise-or of the following flags: NF_NOCLOBBER to protect
              existing datasets (default silently blows  them  away),  NF_SHARE  for  synchronous
              dataset updates for classic format files (default is to buffer accesses),

              When a netCDF dataset is created, is is opened NF_WRITE.  The new netCDF dataset is
              in define mode.  NF_64BIT_OFFSET.  to create a file in the 64-bit offset format (as
              opposed  to  classic format, the default).  NF_TRUE to create a netCDF-4/HDF5 file,
              and NF_CLASSIC_MODEL to guarantee that netCDF-4/HDF5 files  maintain  compatibility
              with the netCDF classic data model.

       integer  function  nf__create(character*(*)  path,  integer  cmode,  integer  initialsize,
              integer chunksize, integer ncid)

              Like nf_create() but has additional performance tuning parameters.

              The argument initialsize sets the initial size of the file at creation time.

              See nf__open() below for an explanation of the chunksize parameter.

       integer function nf_open(character*(*) path, integer mode, integer ncid)

              (Corresponds to ncopn() in version 2)

              Opens a existing netCDF dataset at path returning a netCDF ID in ncid.  The type of
              access  is described by the mode parameter, which may include the bitwise-or of the
              following flags: NF_WRITE for read-write access (default read-only),  NF_SHARE  for
              synchronous  dataset  updates (default is to buffer accesses), and NF_LOCK (not yet
              implemented).

              As of NetCDF version 4.1, and if TRUE support was enabled when the  NetCDF  library
              was built, the path parameter may specify a TRUE URL. In this case, the access mode
              is forced to be read-only.

       integer function nf__open(character*(*) path, integer  mode,  integer  chunksize,  integer
              ncid)

              Like nf_open() but has an additional performance tuning parameter.

              The  argument referenced by chunksize controls a space versus time tradeoff, memory
              allocated in the netcdf library versus number of system calls.  Because of internal
              requirements,  the value may not be set to exactly the value requested.  The actual
              value chosen is returned by reference.  Using the value NF_SIZEHINT_DEFAULT  causes
              the  library to choose a default.  How the system choses the default depends on the
              system.  On many systems, the "preferred I/O block  size"  is  available  from  the
              stat()  system  call,  struct  stat  member st_blksize.  If this is available it is
              used. Lacking that, twice the system pagesize is used.  Lacking a call to  discover
              the system pagesize, we just set default chunksize to 8192.

              The  chunksize  is  a  property of a given open netcdf descriptor ncid, it is not a
              persistent property of the netcdf dataset.

              As with nf__open(), the path parameter may specify  a  TRUE  URL,  but  the  tuning
              parameters are ignored.

       integer function nf_redef(integer ncid)

              (Corresponds to ncredf() in version 2)

              Puts  an  open  netCDF  dataset  into  define  mode,  so dimensions, variables, and
              attributes can be added or renamed and attributes can be deleted.

       integer function nf_enddef(integer ncid)

              (Corresponds to ncendf() in version 2)

              Takes an open netCDF dataset out of define mode.  The changes made  to  the  netCDF
              dataset  while  it  was  in  define  mode  are  checked and committed to disk if no
              problems occurred.  Some  data  values  may  be  written  as  well,  see  "VARIABLE
              PREFILLING"  below.   After a successful call, variable data can be read or written
              to the dataset.

       integer function nf__enddef(integer ncid,  integer  h_minfree,  integer  v_align,  integer
              v_minfree, integer r_align)

              Like nf_enddef() but has additional performance tuning parameters.

              Caution:  this  function exposes internals of the netcdf version 1 file format.  It
              may not be available on future netcdf implementations.

              The current netcdf file format has three sections, the "header" section,  the  data
              section  for fixed size variables, and the data section for variables which have an
              unlimited dimension (record variables).  The header begins at the beginning of  the
              file. The index (offset) of the beginning of the other two sections is contained in
              the header. Typically, there is no space between the sections. This causes  copying
              overhead  to accrue if one wishes to change the size of the sections, as may happen
              when changing names of things, text attribute values, adding attributes  or  adding
              variables.  Also, for buffered i/o, there may be advantages to aligning sections in
              certain ways.

              The minfree parameters allow one to control costs of future  calls  to  nf_redef(),
              nf_enddef()  by  requesting  that  minfree  bytes  be  available  at the end of the
              section.  The h_minfree parameter sets the pad at the end of the "header"  section.
              The  v_minfree parameter sets the pad at the end of the data section for fixed size
              variables.

              The align parameters allow one to  set  the  alignment  of  the  beginning  of  the
              corresponding  sections.  The  beginning  of  the section is rounded up to an index
              which is a multiple of the align parameter. The flag value NF_ALIGN_CHUNK tells the
              library  to  use  the  chunksize  (see  above) as the align parameter.  The v_align
              parameter controls the alignment of the beginning of the  data  section  for  fixed
              size  variables.   The r_align parameter controls the alignment of the beginning of
              the  data  section  for  variables  which  have  an  unlimited  dimension   (record
              variables).

              The  file  format  requires  mod  4 alignment, so the align parameters are silently
              rounded up to multiples of 4. The usual  call,  nf_enddef(ncid)  is  equivalent  to
              nf__enddef(ncid, 0, 4, 0, 4).

              The file format does not contain a "record size" value, this is calculated from the
              sizes of the record variables. This unfortunate fact  prevents  us  from  providing
              minfree  and  alignment  control  of  the  "records" in a netcdf file. If you add a
              variable which has an unlimited dimension, the third section will always be  copied
              with the new variable added.

       integer function nf_sync(integer ncid)

              (Corresponds to ncsnc() in version 2)

              Unless  the  NF_SHARE  bit  is  set  in  nf_open()  or nf_create(), accesses to the
              underlying netCDF dataset are buffered by the library. This  function  synchronizes
              the state of the underlying dataset and the library.  This is done automatically by
              nf_close() and nf_enddef().

       integer function nf_abort(integer ncid)

              (Corresponds to ncabor() in version 2)

              You don't need to call this function.  This function  is  called  automatically  by
              nf_close()  if  the  netCDF  was  in  define mode and something goes wrong with the
              commit.  If the netCDF  dataset  isn't  in  define  mode,  then  this  function  is
              equivalent   to   nf_close().   If  it  is  called  after  nf_redef(),  but  before
              nf_enddef(), the new definitions are not committed and the dataset is  closed.   If
              it is called after nf_create() but before nf_enddef(), the dataset disappears.

       integer function nf_close(integer ncid)

              (Corresponds to ncclos() in version 2)

              Closes  an open netCDF dataset.  If the dataset is in define mode, nf_enddef() will
              be called before closing.  After a dataset is closed, its ID may be  reassigned  to
              another dataset.

       integer function nf_inq(integer ncid, integer ndims, integer nvars, integer natts, integer
              unlimdimid)

       integer function nf_inq_ndims(integer ncid, integer ndims)

       integer function nf_inq_nvars(integer ncid, integer nvars)

       integer function nf_inq_natts(integer ncid, integer natts)

       integer function nf_inq_unlimdim(integer ncid, integer unlimdimid)

       integer function nf_inq_format(integer ncid, integer formatn)

              Use these functions to find out what is  in  a  netCDF  dataset.   Upon  successful
              return,  ndims  will  contain   the  number  of  dimensions defined for this netCDF
              dataset, nvars will contain the number of variables, natts will contain the  number
              of  attributes,  and  unlimdimid  will  contain  the  dimension ID of the unlimited
              dimension if one exists, or 0 otherwise.  formatn will contain the  version  number
              of    the    dataset   <format>,   one   of   NF_FORMAT_CLASSIC,   NF_FORMAT_64BIT,
              NF_FORMAT_NETCDF4, or NF_FORMAT_NETCDF4_CLASSIC.

       integer function nf_def_dim(integer ncid, character*(*) name, integer len, integer dimid)

              (Corresponds to ncddef() in version 2)

              Adds a new dimension to an open netCDF dataset, which must be in define mode.  name
              is  the  dimension  name.  dimid will contain the dimension ID of the newly created
              dimension.

USER DEFINED TYPES

       Users many define types for a netCDF-4/HDF5 file (unless  the  NF_CLASSIC_MODEL  was  used
       when  the  file  was  creates).  Users  may define compound types, variable length arrays,
       enumeration types, and opaque types.

       integer function nf_def_compound(integer ncid, integer size, character*(*)  name,  integer
              typeidp)

              Define a compound type.

       integer  function  nf_insert_compound(integer  ncid, integer , character*(*) name, integer
              offset, integer field_typeid)

              Insert an element into a compound type. May not be done after type has  been  used,
              or after the type has been written by an enddef.

       integer  function  nf_insert_array_compound(integer  ncid,  integer  , character*(*) name,
              integer offset, integer field_typeid, integer ndims, integer dim_sizes(1))

              Insert an array into a compound type.

       integer function nf_inq_type(integer ncid, integer , character*(*) name, integer sizep)

              Learn about a type.

       integer function nf_inq_compound(integer  ncid,  integer  ,  character*(*)  name,  integer
              sizep, integer nfieldsp)

       integer function nf_inq_compound_name(integer ncid, integer , character*(*) name)

       integer function nf_inq_compound_size(integer ncid, integer , integer sizep)

       integer function nf_inq_compound_nfields(integer ncid, integer , integer nfieldsp)

       integer  function  nf_inq_compound_fieldname(integer  ncid,  integer  ,  integer  fieldid,
              character*(*) name)

       integer function nf_inq_compound_fieldindex(integer ncid, integer  ,  character*(*)  name,
              integer fieldidp)

       integer  function  nf_inq_compound_fieldoffset(integer  ncid,  integer  , integer fieldid,
              integer offsetp)

       integer  function  nf_inq_compound_fieldtype(integer  ncid,  integer  ,  integer  fieldid,
              integer field_typeid)

       integer  function  nf_inq_compound_fieldndims(integer  ncid,  integer  ,  integer fieldid,
              integer ndims)

       integer function nf_inq_compound_fielddim_sizes(integer ncid, integer ,  integer  fieldid,
              integer dim_sizes(1))

              Learn about a compound type.

       integer  function  nf_def_vlen(integer  ncid,  character*(*)  name,  integer  base_typeid,
              integer xtypep)

              Create a variable length array type.

       integer  function  nf_inq_vlen(integer  ncid,  integer  ,  character*(*)   name,   integer
              datum_sizep, integer base_nc_typep)

              Learn about a variable length array type.

       integer function nf_free_vlen(nc_vlen_t *vl)

              Free memory comsumed by reading data of a variable length array type.

       integer  function nf_put_vlen_element(integer ncid, integer , void * vlen_element, integer
              len, void * data)

              Write one VLEN.

       integer function nf_get_vlen_element(integer ncid, integer , void * vlen_element,  integer
              len, void * data)

              Read one VLEN.

       integer function nf_free_string(integer len, char **data)

              Free memory comsumed by reading data of a string type.

       integer  function  nf_inq_user_type(integer  ncid, integer , character*(*) name, integer ,
              integer , integer , integer )

              Learn about a user define type.

       integer  function  nf_def_enum(integer  ncid,  integer  base_typeid,  character*(*)  name,
              integer typeidp)

              Define an enumeration type.

       integer  function  nf_insert_enum(integer  ncid,  integer base_typeid, character*(*) name,
              const void *value)

              Insert a name-value pair into enumeration type.

       integer  function   nf_inq_enum_member(integer   ncid,   integer   xtype,   integer   idx,
              character*(*) name, void *value)

       integer  function  nf_inq_enum_ident(integer  ncid,  integer xtype, integer idx, integer*8
              value, character*(*) identifier)

              Learn about a name-value pair into enumeration type.

       integer function nf_def_opaque(integer ncid, integer  size,  character*(*)  name,  integer
              xtypep)

              Create an opaque type.

       integer  function  nf_inq_opaque(integer  ncid, integer xtype, character*(*) name, integer
              sizep)

              Learn about opaque type.

GROUPS

       Users  may  organize  data  into  hierarchical  groups  in  netCDF-4/HDF5  files   (unless
       NF_CLASSIC_MODEL was used when creating the file).

       integer function nf_inq_grps(integer ncid, integer numgrps, integer ncids(1))

              Learn how many groups (and their ncids) are available from the group represented by
              ncid.

       integer function nf_inq_grpname(integer ncid, character*(*) name)

       integer function nf_inq_grpname_full(integer ncid, integer len, character*(*) name)

       integer function nf_inq_grpname_len(integer ncid, integer len)

       integer function nf_inq_grp_parent(integer ncid, integer ncid)

       integer function nf_inq_grp_ncid(integer ncid, character*(*) name, integer ncid)

       integer function nf_inq_full_ncid(integer ncid, character*(*) name, integer ncid)

              Learn about a group.

       integer function nf_inq_varids(integer ncid, integer nvars, integer )

              Get the varids in a group.

       integer function  nf_inq_dimids(integer  ncid,  integer  ndims,  integer  dimids,  integer
              include_parents)

              Get the dimids in a group and (potentially) its parents.

       integer function nf_inq_typeids(integer ncid, integer ntypes, integer typeids(1))

              Get the typeids of user-defined types in a group.

       integer function nf_def_grp(integer ncid, character*(*) name, integer ncid)

              Create a group.

DIMENSIONS

       integer function nf_inq_dimid(integer ncid, character*(*) name, integer dimid)

              (Corresponds to ncdid() in version 2)

              Given a dimension name, returns the ID of a netCDF dimension in dimid.

       integer function nf_inq_dim(integer ncid, integer dimid, character*(*) name, integer len)

       integer function nf_inq_dimname(integer ncid, integer dimid, character*(*) name)

       integer function nf_inq_dimlen(integer ncid, integer dimid, integer len)

              Use these functions to find out about a dimension.

              name  should  be   big  enough (NF_MAX_NAME) to hold the dimension name as the name
              will be copied into your storage.  The length return parameter,  len  will  contain
              the size of the dimension.  For the unlimited dimension, the returned length is the
              current maximum value used for writing into any of  the  variables  which  use  the
              dimension.

       integer function nf_rename_dim(integer ncid, integer dimid, character*(*) name)

              (Corresponds to ncdren() in version 2)

              Renames an existing dimension in an open netCDF dataset.  If the new name is longer
              than the old name, the netCDF dataset must be in define mode.  You cannot rename  a
              dimension to have the same name as another dimension.

VARIABLES

       integer  function  nf_def_var(integer  ncid,  character*(*)  name,  integer xtype, integer
              ndims, integer dimids(1), integer varid)

              (Corresponds to ncvdef() in version 2)

              Adds a new variable to a netCDF dataset. The netCDF must be in define mode.   varid
              will be set to the netCDF variable ID.

       integer function nf_inq_varid(integer ncid, character*(*) name, integer varid)

              (Corresponds to ncvid() in version 2)

              Returns the ID of a netCDF variable in varid given its name.

       integer  function  nf_inq_var(integer  ncid,  integer  varid,  character*(*) name, integer
              xtype, integer ndims, integer dimids(1), integer natts)

       integer function nf_inq_varname(integer ncid, integer varid, character*(*) name)

       integer function nf_inq_vartype(integer ncid, integer varid, integer xtype)

       integer function nf_inq_varndims(integer ncid, integer varid, integer ndims)

       integer function nf_inq_vardimid(integer ncid, integer varid, integer dimids(1))

       integer function nf_inq_varnatts(integer ncid, integer varid, integer natts)

              Returns information about a netCDF variable, given its ID.

       integer function nf_rename_var(integer ncid, integer varid, character*(*) name)

              (Corresponds to ncvren() in version 2)

              Changes the name of a netCDF variable.  If the new name  is  longer  than  the  old
              name,  the netCDF must be in define mode.  You cannot rename a variable to have the
              name of any existing variable.

VARIABLES in NETCDF-4 FILES

       The following functions may only be used on variables in a netCDF-4/HDF5 data file.  These
       functions must be called after the variable is defined, but before an enddef call.

       integer  function nf_def_var_deflate(integer ncid, integer varid, integer shuffle, integer
       deflate, integer deflate_level)

       Turn on compression and/or shuffle filter. (Shuffle filter  is  only  useful  for  integer
       data.)

       integer function nf_inq_var_deflate(integer ncid, integer varid, integer shufflep, integer
              deflatep, integer deflate_levelp)

              Learn about a variable's deflate settings.

       integer function nf_def_var_fletcher32(integer ncid, integer varid, integer fletcher32)

              Turn on checksumming for a variable.

       integer function nf_inq_var_fletcher32(integer ncid, integer varid, integer fletcher32)

              Learn about checksumming for a variable.

       integer function nf_def_var_chunking(integer ncid, integer varid, integer storage, integer
              chunksizesp(1))

              Set chunksizes for a variable.

       integer  function  nf_inq_var_chunking(integer  ncid,  integer  varid,  integer  storagep,
              integer chunksizesp(1))

              Learn about chunksizes for a variable.

       integer function nf_def_var_fill(integer ncid, integer  varid,  integer  no_fill,  integer
              chunksizesp(1))

              Set a fill value for a variable.

       integer  function  nf_inq_var_fill(integer  ncid, integer varid, integer storagep, integer
              chunksizesp(1))

              Learn the fill value for a variable.

       integer function nf_def_var_endian(integer ncid, integer varid, integer endian)

              Set endianness of variable.

       integer function nf_inq_var_endian(integer ncid, integer varid, integer endianp)

              Learn the endianness of a variable.

WRITING AND READING WHOLE VARIABLES

       integer function nf_put_var_text(integer ncid, integer varid, character*(*) out)

       integer function nf_put_var_int1(integer ncid, integer varid, integer*1 out(1))

       integer function nf_put_var_int2(integer ncid, integer varid, integer*2 out(1))

       integer function nf_put_var_int(integer ncid, integer varid, integer out(1))

       integer function nf_put_var_real(integer ncid, integer varid, real out(1))

       integer function nf_put_var_double(integer ncid, integer varid, doubleprecision out(1))

       integer function nf_put_var_ubyte(integer ncid, integer varid, integer*1 out(1))

       integer function nf_put_var_ushort(integer ncid, integer varid, integer*2 out(1))

       integer function nf_put_var_uint(integer ncid, integer varid, integer*4 out(1))

       integer function nf_put_var_int64(integer ncid, integer varid, integer*8 out(1))

       integer function nf_put_var_uint64(integer ncid, integer varid, integer*8 out(1))

       integer function nf_put_var_string(integer ncid, integer varid, character* out(1))

              Writes an entire netCDF variable (i.e. all the values).  The netCDF dataset must be
              open and in data mode.  The type of the data is specified in the function name, and
              it is converted to the external  type  of  the  specified  variable,  if  possible,
              otherwise  an  NF_ERANGE  error  is  returned.  Note that rounding is not performed
              during the conversion. Floating point  numbers  are  truncated  when  converted  to
              integers.

       integer function nf_get_var_text(integer ncid, integer varid, character*(*) in)

       integer function nf_get_var_int1(integer ncid, integer varid, integer*1 in(1))

       integer function nf_get_var_int2(integer ncid, integer varid, integer*2 in(1))

       integer function nf_get_var_int(integer ncid, integer varid, integer in(1))

       integer function nf_get_var_real(integer ncid, integer varid, real in(1))

       integer function nf_get_var_double(integer ncid, integer varid, doubleprecision in(1))

       integer function nf_get_var_ubyte(integer ncid, integer varid, integer*1 in(1))

       integer function nf_get_var_ushort(integer ncid, integer varid, integer*2 in(1))

       integer function nf_get_var_uint(integer ncid, integer varid, integer*4 in(1))

       integer function nf_get_var_int64(integer ncid, integer varid, integer*8 in(1))

       integer function nf_get_var_uint64(integer ncid, integer varid, integer*8 in(1))

       integer function nf_get_var_string(integer ncid, integer varid, character* in(1))

              Reads  an entire netCDF variable (i.e. all the values).  The netCDF dataset must be
              open and in data mode.  The data  is  converted  from  the  external  type  of  the
              specified  variable,  if necessary, to the type specified in the function name.  If
              conversion is not possible, an NF_ERANGE error is returned.

WRITING AND READING ONE DATUM

       integer  function  nf_put_var1_text(integer  ncid,  integer   varid,   integer   index(1),
              character*1 *out)

       integer function nf_put_var1_int1(integer ncid, integer varid, integer index(1), integer*1
              *out)

       integer function nf_put_var1_int2(integer ncid, integer varid, integer index(1), integer*2
              *out)

       integer  function  nf_put_var1_int(integer  ncid, integer varid, integer index(1), integer
              *out)

       integer function nf_put_var1_real(integer ncid,  integer  varid,  integer  index(1),  real
              *out)

       integer   function  nf_put_var1_double(integer  ncid,  integer  varid,  integer  index(1),
              doubleprecision *out)

       integer  function  nf_put_var1_ubyte(integer  ncid,  integer  varid,   integer   index(1),
              integer*1 *out)

       integer   function  nf_put_var1_ushort(integer  ncid,  integer  varid,  integer  index(1),
              integer*2 *out)

       integer function nf_put_var1_uint(integer ncid, integer varid, integer index(1), integer*4
              *out)

       integer   function   nf_put_var1_int64(integer  ncid,  integer  varid,  integer  index(1),
              integer*8 *out)

       integer  function  nf_put_var1_uint64(integer  ncid,  integer  varid,  integer   index(1),
              integer*8 *out)

       integer   function  nf_put_var1_string(integer  ncid,  integer  varid,  integer  index(1),
              character* *out)

              Puts a single data value into a variable at the position index of  an  open  netCDF
              dataset  that  is  in data mode.  The type of the data is specified in the function
              name, and it is converted to the  external  type  of  the  specified  variable,  if
              possible, otherwise an NF_ERANGE error is returned.

       integer   function   nf_get_var1_text(integer   ncid,  integer  varid,  integer  index(1),
              character*1 in)

       integer function nf_get_var1_int1(integer ncid, integer varid, integer index(1), integer*1
              in)

       integer function nf_get_var1_int2(integer ncid, integer varid, integer index(1), integer*2
              in)

       integer function nf_get_var1_int(integer ncid, integer varid,  integer  index(1),  integer
              in)

       integer function nf_get_var1_real(integer ncid, integer varid, integer index(1), real in)

       integer   function  nf_get_var1_double(integer  ncid,  integer  varid,  integer  index(1),
              doubleprecision in)

       integer  function  nf_get_var1_ubyte(integer  ncid,  integer  varid,   integer   index(1),
              integer*1 in)

       integer   function  nf_get_var1_ushort(integer  ncid,  integer  varid,  integer  index(1),
              integer*2 in)

       integer function nf_get_var1_uint(integer ncid, integer varid, integer index(1), integer*4
              in)

       integer   function   nf_get_var1_int64(integer  ncid,  integer  varid,  integer  index(1),
              integer*8 in)

       integer  function  nf_get_var1_uint64(integer  ncid,  integer  varid,  integer   index(1),
              integer*8 in)

       integer   function  nf_get_var1_string(integer  ncid,  integer  varid,  integer  index(1),
              character* in)

              Gets a single data value from a variable at the position index of  an  open  netCDF
              dataset  that is in data mode.  The data is converted from the external type of the
              specified variable, if necessary, to the type specified in the function  name.   If
              conversion is not possible, an NF_ERANGE error is returned.

WRITING AND READING AN ARRAY

       integer  function  nf_put_vara_text(integer ncid, integer varid, integer start(1), integer
              count(1), character*(*) out)

       integer function nf_put_vara_int1(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer*1 out(1))

       integer  function  nf_put_vara_int2(integer ncid, integer varid, integer start(1), integer
              count(1), integer*2 out(1))

       integer function nf_put_vara_int(integer ncid, integer varid,  integer  start(1),  integer
              count(1), integer out(1))

       integer  function  nf_put_vara_real(integer ncid, integer varid, integer start(1), integer
              count(1), real out(1))

       integer function nf_put_vara_double(integer ncid, integer varid, integer start(1), integer
              count(1), doubleprecision out(1))

       integer  function nf_put_vara_ubyte(integer ncid, integer varid, integer start(1), integer
              count(1), integer*1 out(1))

       integer function nf_put_vara_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer*2 out(1))

       integer  function  nf_put_vara_uint(integer ncid, integer varid, integer start(1), integer
              count(1), integer*4 out(1))

       integer function nf_put_vara_int64(integer ncid, integer varid, integer start(1),  integer
              count(1), integer*8 out(1))

       integer function nf_put_vara_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer*8 out(1))

       integer function nf_put_vara_string(integer ncid, integer varid, integer start(1), integer
              count(1), character* out(1))

              Writes an array section of values into a netCDF variable of an open netCDF dataset,
              which must be in data mode.  The array section is specified by the start and  count
              vectors,  which give the starting index and count of values along each dimension of
              the specified variable.  The type of the data is specified in the function name and
              is converted to the external type of the specified variable, if possible, otherwise
              an NF_ERANGE error is returned.

       integer function nf_get_vara_text(integer ncid, integer varid, integer  start(1),  integer
              count(1), character*(*) in)

       integer  function  nf_get_vara_int1(integer ncid, integer varid, integer start(1), integer
              count(1), integer*1 in(1))

       integer function nf_get_vara_int2(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer*2 in(1))

       integer  function  nf_get_vara_int(integer  ncid, integer varid, integer start(1), integer
              count(1), integer in(1))

       integer function nf_get_vara_real(integer ncid, integer varid, integer  start(1),  integer
              count(1), real in(1))

       integer function nf_get_vara_double(integer ncid, integer varid, integer start(1), integer
              count(1), doubleprecision in(1))

       integer function nf_get_vara_ubyte(integer ncid, integer varid, integer start(1),  integer
              count(1), integer*1 in(1))

       integer function nf_get_vara_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer*2 in(1))

       integer function nf_get_vara_uint(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer*4 in(1))

       integer  function nf_get_vara_int64(integer ncid, integer varid, integer start(1), integer
              count(1), integer*8 in(1))

       integer function nf_get_vara_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer*8 in(1))

       integer function nf_get_vara_string(integer ncid, integer varid, integer start(1), integer
              count(1), character* in(1))

              Reads an array section of values from a netCDF variable of an open netCDF  dataset,
              which  must be in data mode.  The array section is specified by the start and count
              vectors, which give the starting index and count of values along each dimension  of
              the  specified  variable.   The  data  is  converted  from the external type of the
              specified variable, if necessary, to the type specified in the function  name.   If
              conversion is not possible, an NF_ERANGE error is returned.

WRITING AND READING A SLICED ARRAY

       integer  function  nf_put_vars_text(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), character*(*) out)

       integer function nf_put_vars_int1(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), integer*1 out(1))

       integer  function  nf_put_vars_int2(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*2 out(1))

       integer function nf_put_vars_int(integer ncid, integer varid,  integer  start(1),  integer
              count(1), integer stride(1), integer out(1))

       integer  function  nf_put_vars_real(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), real out(1))

       integer function nf_put_vars_double(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), doubleprecision out(1))

       integer  function nf_put_vars_ubyte(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*1 out(1))

       integer function nf_put_vars_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*2 out(1))

       integer  function  nf_put_vars_uint(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*4 out(1))

       integer function nf_put_vars_int64(integer ncid, integer varid, integer start(1),  integer
              count(1), integer stride(1), integer*8 out(1))

       integer function nf_put_vars_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*8 out(1))

       integer function nf_put_vars_string(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), character* out(1))

              These functions are used for strided output, which is like the array section output
              described above, except that the sampling stride  (the  interval  between  accessed
              values) is specified for each dimension.  For an explanation of the sampling stride
              vector, see COMMON ARGUMENTS DESCRIPTIONS below.

       integer function nf_get_vars_text(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), character*(*) in)

       integer  function  nf_get_vars_int1(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*1 in(1))

       integer function nf_get_vars_int2(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), integer*2 in(1))

       integer  function  nf_get_vars_int(integer  ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer in(1))

       integer function nf_get_vars_real(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), real in(1))

       integer function nf_get_vars_double(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), doubleprecision in(1))

       integer function nf_get_vars_ubyte(integer ncid, integer varid, integer start(1),  integer
              count(1), integer stride(1), integer*1 in(1))

       integer function nf_get_vars_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*2 in(1))

       integer function nf_get_vars_uint(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), integer*4 in(1))

       integer  function nf_get_vars_int64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*8 in(1))

       integer function nf_get_vars_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), integer*8 in(1))

       integer function nf_get_vars_string(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), character* in(1))

              These functions are used for strided input, which is like the array  section  input
              described  above,  except  that  the sampling stride (the interval between accessed
              values) is specified for each dimension.  For an explanation of the sampling stride
              vector, see COMMON ARGUMENTS DESCRIPTIONS below.

WRITING AND READING A MAPPED ARRAY

       integer  function  nf_put_varm_text(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, character*(*) out)

       integer function nf_put_varm_int1(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), imap, integer*1 out(1))

       integer  function  nf_put_varm_int2(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*2 out(1))

       integer function nf_put_varm_int(integer ncid, integer varid,  integer  start(1),  integer
              count(1), integer stride(1), imap, integer out(1))

       integer  function  nf_put_varm_real(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, real out(1))

       integer function nf_put_varm_double(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, doubleprecision out(1))

       integer  function nf_put_varm_ubyte(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*1 out(1))

       integer function nf_put_varm_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*2 out(1))

       integer  function  nf_put_varm_uint(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*4 out(1))

       integer function nf_put_varm_int64(integer ncid, integer varid, integer start(1),  integer
              count(1), integer stride(1), imap, integer*8 out(1))

       integer function nf_put_varm_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*8 out(1))

       integer function nf_put_varm_string(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, character* out(1))

              These  functions are used for mapped output, which is like strided output described
              above, except that an additional index mapping vector is provided  to  specify  the
              in-memory  arrangement of the data values.  For an explanation of the index mapping
              vector, see COMMON ARGUMENTS DESCRIPTIONS below.

       integer function nf_get_varm_text(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), imap, character*(*) in)

       integer  function  nf_get_varm_int1(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*1 in(1))

       integer function nf_get_varm_int2(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), imap, integer*2 in(1))

       integer  function  nf_get_varm_int(integer  ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer in(1))

       integer function nf_get_varm_real(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), imap, real in(1))

       integer function nf_get_varm_double(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, doubleprecision in(1))

       integer function nf_get_varm_ubyte(integer ncid, integer varid, integer start(1),  integer
              count(1), integer stride(1), imap, integer*1 in(1))

       integer function nf_get_varm_ushort(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*2 in(1))

       integer function nf_get_varm_uint(integer ncid, integer varid, integer  start(1),  integer
              count(1), integer stride(1), imap, integer*4 in(1))

       integer  function nf_get_varm_int64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*8 in(1))

       integer function nf_get_varm_uint64(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, integer*8 in(1))

       integer function nf_get_varm_string(integer ncid, integer varid, integer start(1), integer
              count(1), integer stride(1), imap, character* in(1))

              These functions are used for mapped input, which is like  strided  input  described
              above,  except  that  an additional index mapping vector is provided to specify the
              in-memory arrangement of the data values.  For an explanation of the index  mapping
              vector, see COMMON ARGUMENTS DESCRIPTIONS below.

ATTRIBUTES

       integer  function nf_put_att_text(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, character*(*) out)

       integer function nf_put_att_int1(integer ncid, integer varid, character*(*) name,  integer
              xtype, integer len, integer*1 out(1))

       integer  function nf_put_att_int2(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, integer*2 out(1))

       integer function nf_put_att_int(integer ncid, integer varid, character*(*)  name,  integer
              xtype, integer len, integer out(1))

       integer  function nf_put_att_real(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, real out(1))

       integer  function  nf_put_att_double(integer  ncid,  integer  varid,  character*(*)  name,
              integer xtype, integer len, doubleprecision out(1))

       integer function nf_put_att_ubyte(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, integer*1 out(1))

       integer  function  nf_put_att_ushort(integer  ncid,  integer  varid,  character*(*)  name,
              integer xtype, integer len, integer*2 out(1))

       integer  function nf_put_att_uint(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, integer*4 out(1))

       integer function nf_put_att_int64(integer ncid, integer varid, character*(*) name, integer
              xtype, integer len, integer*8 out(1))

       integer  function  nf_put_att_uint64(integer  ncid,  integer  varid,  character*(*)  name,
              integer xtype, integer len, integer*8 out(1))

       integer  function  nf_put_att_string(integer  ncid,  integer  varid,  character*(*)  name,
              integer xtype, integer len, character* out(1))

       integer  function  nf_put_att(integer  ncid,  integer  varid,  character*(*) name, integer
              xtype, integer len, void * ip)

       integer function nf_get_att(integer ncid, integer varid, character*(*) name, void * ip)

              Unlike variables, attributes do  not  have  separate  functions  for  defining  and
              writing  values.   This family of functions defines a new attribute with a value or
              changes the value of an existing attribute.  If the attribute is  new,  or  if  the
              space  required  to  store  the  attribute value is greater than before, the netCDF
              dataset must be in define mode.  The parameter len is the number of values from out
              to transfer.  It is often one, except that for nf_put_att_text() it will usually be
              len_trim(out).

              For these functions, the type component of the function  name  refers  to  the  in-
              memory  type  of  the value, whereas the xtype argument refers to the external type
              for storing the value.  An NF_ERANGE error results if a  conversion  between  these
              types  is not possible.  In this case the value is represented with the appropriate
              fill-value for the associated external type.

       integer function nf_inq_attname(integer ncid, integer varid, integer attnum, character*(*)
              name)

              Gets  the  name  of an attribute, given its variable ID and attribute number.  This
              function is useful in generic applications that need to get the names  of  all  the
              attributes associated with a variable, since attributes are accessed by name rather
              than number in all other attribute functions.  The number of an attribute  is  more
              volatile  than  the  name,  since  it  can change when other attributes of the same
              variable are deleted.  The attributes for each variable are numbered  from  1  (the
              first  attribute)  to  nvatts,  where  nvatts  is  the number of attributes for the
              variable, as returned from a call to nf_inq_varnatts().

       integer function nf_inq_att(integer  ncid,  integer  varid,  character*(*)  name,  integer
              xtype, integer len)

       integer  function  nf_inq_attid(integer  ncid,  integer varid, character*(*) name, integer
              attnum)

       integer function nf_inq_atttype(integer ncid, integer varid, character*(*)  name,  integer
              xtype)

       integer  function  nf_inq_attlen(integer  ncid, integer varid, character*(*) name, integer
              len)

              These functions return information about a netCDF attribute, given its variable  ID
              and name.  The information returned is the external type in xtype and the number of
              elements in the attribute as len.

       integer function nf_copy_att(integer ncid, integer varid_in, character*(*)  name,  integer
              ncid_out, integer varid_out)

              Copies  an  attribute  from  one netCDF dataset to another.  It can also be used to
              copy an attribute from one variable to another within the same netCDF.  ncid_in  is
              the  netCDF  ID of an input netCDF dataset from which the attribute will be copied.
              varid_in is the ID of the variable in the  input  netCDF  dataset  from  which  the
              attribute will be copied, or NF_GLOBAL for a global attribute.  name is the name of
              the attribute in the input netCDF dataset to be copied.  ncid_out is the netCDF  ID
              of  the  output  netCDF  dataset  to  which  the  attribute  will be copied.  It is
              permissible for the input and output netCDF ID's to be the same.  The output netCDF
              dataset  should  be  in  define mode if the attribute to be copied does not already
              exist for the target variable, or if it would cause an existing target attribute to
              grow.   varid_out  is  the ID of the variable in the output netCDF dataset to which
              the attribute will be copied, or NF_GLOBAL to copy to a global attribute.

       integer  function  nf_rename_att(integer  ncid,   integer   varid,   character*(*)   name,
              character*(*) newname)

              Changes  the  name  of  an  attribute.  If the new name is longer than the original
              name, the netCDF must be in define mode.  You cannot rename an  attribute  to  have
              the  same  name  as  another  attribute of the same variable.  name is the original
              attribute name.  newname is the new name to be assigned to the specified attribute.
              If  the  new name is longer than the old name, the netCDF dataset must be in define
              mode.

       integer function nf_del_att(integer ncid, integer varid, character*(*) name)

              Deletes an attribute from a netCDF dataset.  The dataset must be in define mode.

       integer  function  nf_get_att_text(integer  ncid,  integer  varid,   character*(*)   name,
              character*(*) in)

       integer   function   nf_get_att_int1(integer  ncid,  integer  varid,  character*(*)  name,
              integer*1 in(1))

       integer  function  nf_get_att_int2(integer  ncid,  integer  varid,   character*(*)   name,
              integer*2 in(1))

       integer  function  nf_get_att_int(integer ncid, integer varid, character*(*) name, integer
              in(1))

       integer function nf_get_att_real(integer ncid, integer  varid,  character*(*)  name,  real
              in(1))

       integer  function  nf_get_att_double(integer  ncid,  integer  varid,  character*(*)  name,
              doubleprecision in(1))

       integer  function  nf_get_att_ubyte(integer  ncid,  integer  varid,  character*(*)   name,
              integer*1 in(1))

       integer  function  nf_get_att_ushort(integer  ncid,  integer  varid,  character*(*)  name,
              integer*2 in(1))

       integer  function  nf_get_att_uint(integer  ncid,  integer  varid,   character*(*)   name,
              integer*4 in(1))

       integer   function  nf_get_att_int64(integer  ncid,  integer  varid,  character*(*)  name,
              integer*8 in(1))

       integer  function  nf_get_att_uint64(integer  ncid,  integer  varid,  character*(*)  name,
              integer*8 in(1))

       integer  function  nf_get_att_string(integer  ncid,  integer  varid,  character*(*)  name,
              character* in(1))

              Gets the value(s) of a netCDF attribute, given its variable ID and name.   Converts
              from  the  external  type  to the type specified in the function name, if possible,
              otherwise returns an NF_ERANGE error.  All elements  of  the  vector  of  attribute
              values  are returned, so you must allocate enough space to hold them.  If you don't
              know how much space to reserve, call nf_inq_attlen() first to find out  the  length
              of the attribute.

COMMON ARGUMENT DESCRIPTIONS

       In  this  section  we  define  some  common  arguments  which  are  used  in the "FUNCTION
       DESCRIPTIONS" section.

       integer ncid
              is the netCDF ID  returned  from  a  previous,  successful  call  to  nf_open()  or
              nf_create()

       character*(*) name
              is  the  name  of  a  dimension,  variable,  or attribute. The names of dimensions,
              variables and attributes consist of arbitrary sequences of alphanumeric  characters
              (as  well as underscore '_', period '.' and hyphen '-'), beginning with a letter or
              underscore. (However names commencing with underscore are reserved for system use.)
              Case is significant in netCDF names. A zero-length name is not allowed.

              The maximum allowable number of characters
               is NF_MAX_NAME.

       integer xtype
              specifies  the  external  data type of a netCDF variable or attribute and is one of
              the following: NF_BYTE, NF_CHAR, NF_SHORT, NF_INT, NF_FLOAT, or  NF_DOUBLE.   These
              are  used  to specify 8-bit integers, characters, 16-bit integers, 32-bit integers,
              32-bit IEEE  floating  point  numbers,  and  64-bit  IEEE  floating-point  numbers,
              respectively.

       integer dimids(1)
              is a vector of dimension ID's and defines the shape of a netCDF variable.  The size
              of the vector shall be greater than or equal  to  the  rank  (i.e.  the  number  of
              dimensions) of the variable (ndims).  The vector shall be ordered by the speed with
              which a dimension varies: dimids(1) shall be the dimension ID of the  most  rapidly
              varying  dimension  and  dimids(ndims) shall be the dimension ID of the most slowly
              varying dimension.  The maximum possible number of dimensions  for  a  variable  is
              given by the symbolic constant NF_MAX_VAR_DIMS.

       integer dimid
              is  the ID of a netCDF dimension.  netCDF dimension ID's are allocated sequentially
              from the positive integers beginning with 1.

       integer ndims
              is either the total number of dimensions in a netCDF dataset or the rank (i.e.  the
              number  of  dimensions)  of  a netCDF variable.  The value shall not be negative or
              greater than the symbolic constant NF_MAX_VAR_DIMS.

       integer varid
              is the ID of a netCDF variable or (for the attribute-access functions) the symbolic
              constant  NF_GLOBAL, which is used to reference global attributes.  netCDF variable
              ID's are allocated sequentially from the positive integers beginning with 1.

       integer natts
              is the number of global attributes  in  a  netCDF  dataset   for  the  nf_inquire()
              function  or  the  number  of  attributes associated with a netCDF variable for the
              nf_varinq() function.

       integer index(1)
              specifies the indicial coordinates of the netCDF data value to  be  accessed.   The
              indices  start  at  1; thus, for example, the first data value of a two-dimensional
              variable is (1,1).  The size of the vector shall  be  at  least  the  rank  of  the
              associated  netCDF  variable  and  its  elements shall correspond, in order, to the
              variable's dimensions.

       integer start(1)
              specifies the starting point for accessing a netCDF variable's data values in terms
              of  the indicial coordinates of the corner of the array section.  The indices start
              at 1; thus, the first data value of a variable is (1, 1, ..., 1).  The size of  the
              vector  shall  be  at  least  the  rank  of  the associated netCDF variable and its
              elements shall correspond, in order, to the variable's dimensions.

       integer count(1)
              specifies the number of indices selected along each dimension of the array section.
              Thus, to access a single value, for example, specify count as (1, 1, ..., 1).  Note
              that, for strided I/O, this argument must be adjusted to  be  compatible  with  the
              stride and start arguments so that the interaction of the three does not attempt to
              access an invalid data co-ordinate.  The elements of the count  vector  correspond,
              in order, to the variable's dimensions.

       integer stride(1)
              specifies  the sampling interval along each dimension of the netCDF variable.   The
              elements of the stride vector  correspond,  in  order,  to  the  netCDF  variable's
              dimensions  (stride(1))  gives the sampling interval along the most rapidly varying
              dimension of the netCDF variable).   Sampling  intervals  are  specified  in  type-
              independent  units  of  elements  (a value of 1 selects consecutive elements of the
              netCDF variable along the corresponding dimension, a value of 2 selects every other
              element, etc.).

       imap   specifies the mapping between the dimensions of a netCDF variable and the in-memory
              structure of the internal data array.  The elements of  the  index  mapping  vector
              correspond,  in  order,  to  the  netCDF  variable's  dimensions (imap(1) gives the
              distance between elements of the internal array corresponding to the  most  rapidly
              varying  dimension  of  the  netCDF  variable).   Distances  between  elements  are
              specified in type-independent units of  elements  (the  distance  between  internal
              elements  that  occupy  adjacent  memory locations is 1 and not the element's byte-
              length as in netCDF 2).

VARIABLE PREFILLING

       By default, the netCDF interface sets the values of all newly-defined variables of  finite
       length  (i.e.  those that do not have an unlimited, dimension) to the type-dependent fill-
       value associated with each variable.  This is done when nf_enddef() is called.  The  fill-
       value  for  a  variable  may  be  changed from the default value by defining the attribute
       `_FillValue' for the variable.  This attribute must have the same type as the variable and
       be of length one.

       Variables  with  an  unlimited  dimension are also prefilled, but on an `as needed' basis.
       For example, if the first write of such a variable is to  position  5,  then  positions  1
       through 4 (and no others) would be set to the fill-value at the same time.

       This  default  prefilling of data values may be disabled by or'ing the NF_NOFILL flag into
       the mode parameter of nf_open() or nf_create(), or, by calling the function  nf_set_fill()
       with  the argument NF_NOFILL.  For variables that do not use the unlimited dimension, this
       call must be made before nf_enddef().  For variables that  use  the  unlimited  dimension,
       this call may be made at any time.

       One  can  obtain  increased performance of the netCDF interface by using this feature, but
       only at the expense of requiring the application to set  every  single  data  value.   The
       performance  enhancing  behavior  of  this function is dependent on the particulars of the
       implementation and dataset format.  The flag value  controlled  by  nf_set_fill()  is  per
       netCDF  ID,  not per variable or per write.  Allowing this to change affects the degree to
       which a program can be effectively parallelized.  Given all of this, we state that the use
       of  this feature may not be available (or even needed) in future releases. Programmers are
       cautioned against heavy reliance upon this feature.

       integer function nf_setfill(integer ncid, integer fillmode, integer old_fillemode)

              Determines whether or not variable prefilling will be done (see above).  The netCDF
              dataset  shall  be  writable.  fillmode is either NF_FILL to enable prefilling (the
              default) or NF_NOFILL to disable prefilling.  This function  returns  the  previous
              setting in old_fillmode.

MPP FUNCTION DESCRIPTIONS

       Additional  functions  for use on SGI/Cray MPP machines (_CRAYMPP).  These are used to set
       and inquire which PE is the base for MPP for a particular netCDF. These are only  relevant
       when  using  the  SGI/Cray  ``global''  Flexible  File I/O layer and desire to have only a
       subset of PEs to open the specific netCDF file.  For technical  reasons,  these  functions
       are  available  on all platforms.  On a platform other than SGI/Cray MPP, it is as if only
       processor available were processor 0.

       To use this feature, you need to specify a communicator group and call glio_group_mpi() or
       glio_group_shmem() prior to the netCDF nf_open() and nf_create() calls.

       integer  function  nf__create_mp(character*(*)  path,  integer cmode, integer initialsize,
              integer pe, integer chunksize, integer ncid)

              Like nf__create() but allows the base PE to be set.

              The argument pe sets the  base  PE  at  creation  time.  In  the  MPP  environment,
              nf__create() and nf_create() set the base PE to processor zero by default.

       integer  function  nf__open_mp(character*(*)  path,  integer  mode,  integer  pe,  integer
              chunksize, integer ncid)

              Like nf__open() but allows the base PE to be set.  The argument pe sets the base PE
              at  creation time. In the MPP environment, nf__open() and nf_open() set the base PE
              to processor zero by default.

       integer function nf_inq_base_pe(integer ncid, integer pe)

              Inquires of the netCDF dataset which PE is being used as  the  base  for  MPP  use.
              This is safe to use at any time.

       integer function nf_set_base_pe(integer ncid, integer pe)

              Resets  the  base  PE for the netCDF dataset.  Only perform this operation when the
              affected communicator group synchronizes before and after the call.  This operation
              is very risky and should only be contemplated under only the most extreme cases.

ENVIRONMENT VARIABLES

       NETCDF_FFIOSPEC
           Specifies the Flexible File I/O buffers for netCDF I/O when executing under the UNICOS
           operating system (the variable is ignored on other operating systems).  An appropriate
           specification  can greatly increase the efficiency of netCDF I/O -- to the extent that
           it can actually surpass FORTRAN binary I/O.  This environment variable has been made a
           little  more generalized, such that other FFIO option specifications can now be added.
           The default specification is bufa:336:2, unless a current  FFIO  specification  is  in
           operation, which will be honored.  See UNICOS Flexible File I/O for more information.

MAILING-LISTS

       Both  a mailing list and a digest are available for discussion of the netCDF interface and
       announcements about netCDF bugs,  fixes,  and  enhancements.   To  begin  or  change  your
       subscription  to  either  the mailing-list or the digest, send one of the following in the
       body (not the subject line) of an email message to "majordomo@unidata.ucar.edu".  Use your
       email address in place of jdoe@host.inst.domain.

       To subscribe to the netCDF mailing list:
              subscribe netcdfgroup jdoe@host.inst.domain
       To unsubscribe from the netCDF mailing list:
              unsubscribe netcdfgroup jdoe@host.inst.domain
       To subscribe to the netCDF digest:
              subscribe netcdfdigest jdoe@host.inst.domain
       To unsubscribe from the netCDF digest:
              unsubscribe netcdfdigest jdoe@host.inst.domain
       To retrieve the general introductory information for the mailing list:
              info netcdfgroup
       To get a synopsis of other majordomo commands:
              help

SEE ALSO

       ncdump(1), ncgen(1), netcdf(3f).

       netCDF  User's  Guide, published by the Unidata Program Center, University Corporation for
       Atmospheric Research, located in Boulder, Colorado.

       NetCDF home page at http:/www.unidata.ucar.edu/netcdf.