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110 lines
3.9 KiB
Markdown
110 lines
3.9 KiB
Markdown
# NetCDF Programming Notes {#programming_notes}
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[TOC]
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<H2>See Also:</H2>
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* \subpage nc-error-codes
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# Ignored if NULL {#ignored_if_null}
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Many of the argurments of netCDF functions are pointers. For example,
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the nc_inq() functions takes four pointers:
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~~~.C
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int nc_inq(int ncid, int *ndimsp, int *nvarsp, int *nattsp, int *unlimdimidp);
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~~~
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A NULL may be passed for any of these pointers, and it will be ignored. For example, interested in the number of dimensions only, the following code will work:
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~~~.C
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int ndims;
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...
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if (nc_inq(ncid, &ndims, NULL, NULL, NULL))
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return SOME_ERROR;
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~~~
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# Allocating Storage for the Result {#allocating_storage_for_the_result}
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User must allocate space for the result of an inq function before the function is called.
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# Specify a Hyperslab {#specify_hyperslab}
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The NetCDF allows specification of hyperslabs to be read or written
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with vectors which specify the start, count, stride, and mapping.
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## A Vector Specifying Start Index for Each Dimension {#start_vector}
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A vector of size_t integers specifying the index in the
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variable where the first of the data values will be read.
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The indices are relative to 0, so for example, the first data value of
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a variable would have index (0, 0, ... , 0).
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The length of start vector must be the same as the number of
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dimensions of the specified variable. The elements of start
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correspond, in order, to the variable's dimensions.
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## A Vector Specifying Count for Each Dimension {#count_vector}
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A vector of size_t integers specifying the edge lengths
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along each dimension of the block of data values to be read.
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To read a single value, for example, specify count as (1, 1, ... , 1).
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The length of count is the number of dimensions of the specified
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variable. The elements of count correspond, in order, to the
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variable's dimensions.
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Setting any element of the count array to zero causes the function to
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exit without error, and without doing anything.
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## A Vector Specifying Stride for Each Dimension {#stride_vector}
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A vector of size_t integers specifying the interval between selected
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indices.
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A value of 1 accesses adjacent values of the netCDF variable in the
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corresponding dimension; a value of 2 accesses every other value of
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the netCDF variable in the corresponding dimension; and so on.
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The elements of the stride vector correspond, in order, to the
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variable's dimensions.
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A NULL stride argument is treated as (1, 1, ... , 1).
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## A Vector Specifying Mapping for Each Dimension {#map_vector}
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A vector of integers that specifies the mapping between the dimensions
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of a netCDF variable and the in-memory structure of the internal data
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array.
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imap[0] gives the distance between elements of the internal array
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corresponding to the most slowly varying dimension of the netCDF
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variable. imap[n-1] (where n is the rank of the netCDF variable) gives
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the distance between elements of the internal array corresponding to
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the most rapidly varying dimension of the netCDF variable. Intervening
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imap elements correspond to other dimensions of the netCDF variable in
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the obvious way. Distances between elements are specified in
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type-independent units of elements.
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\note The distance between internal elements that occupy adjacent
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memory locations is 1 and not the element's byte-length as in netCDF
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2.
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# NetCDF ID {#ncid}
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Most netCDF function require the netCDF ID as a first parameter.
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In the netCDF classic model, the netCDF ID is associated with an open
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file. Each file, when opened by nc_open(), or created by nc_create(),
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is assigned an ncid, which it retains until nc_close() is called.
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In the netCDF enhanced model, the ncid refers to a group with a
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file. (Each file contains at least the root group, which is the ncid
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that is returned by nc_open() and nc_create().)
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For netCDF-4/HDF5 files, netCDF IDs can come not just from nc_open()
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and nc_create(), but also from nc_def_grp(), nc_inq_grps(),
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nc_inq_ncid(), nc_inq_grp_parent(), and nc_inq_grp_full_ncid().
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