NetCDF Fortran 77 Interface Guide ********************************* This document describes the FORTRAN-77 interface to the netCDF library. This document applies to netCDF version 3.6.1. This document was last updated in 16 January 2006. For a complete description of the netCDF format and utilities see *Note Top: (netcdf)Top. 1 Use of the NetCDF Library *************************** You can use the netCDF library without knowing about all of the netCDF interface. If you are creating a netCDF dataset, only a handful of routines are required to define the necessary dimensions, variables, and attributes, and to write the data to the netCDF dataset. (Even less are needed if you use the ncgen utility to create the dataset before running a program using netCDF library calls to write data. *Note ncgen: (netcdf)ncgen.) Similarly, if you are writing software to access data stored in a particular netCDF object, only a small subset of the netCDF library is required to open the netCDF dataset and access the data. Authors of generic applications that access arbitrary netCDF datasets need to be familiar with more of the netCDF library. In this chapter we provide templates of common sequences of netCDF calls needed for common uses. For clarity we present only the names of routines; omit declarations and error checking; omit the type-specific suffixes of routine names for variables and attributes; indent statements that are typically invoked multiple times; and use ... to represent arbitrary sequences of other statements. Full parameter lists are described in later chapters. 1.1 Creating a NetCDF Dataset ============================= Here is a typical sequence of netCDF calls used to create a new netCDF dataset: NF_CREATE ! create netCDF dataset: enter define mode ... NF_DEF_DIM ! define dimensions: from name and length ... NF_DEF_VAR ! define variables: from name, type, dims ... NF_PUT_ATT ! assign attribute values ... NF_ENDDEF ! end definitions: leave define mode ... NF_PUT_VAR ! provide values for variable ... NF_CLOSE ! close: save new netCDF dataset Only one call is needed to create a netCDF dataset, at which point you will be in the first of two netCDF modes. When accessing an open netCDF dataset, it is either in define mode or data mode. In define mode, you can create dimensions, variables, and new attributes, but you cannot read or write variable data. In data mode, you can access data and change existing attributes, but you are not permitted to create new dimensions, variables, or attributes. One call to NF_DEF_DIM is needed for each dimension created. Similarly, one call to NF_DEF_VAR is needed for each variable creation, and one call to a member of the NF_PUT_ATT family is needed for each attribute defined and assigned a value. To leave define mode and enter data mode, call NF_ENDDEF. Once in data mode, you can add new data to variables, change old values, and change values of existing attributes (so long as the attribute changes do not require more storage space). Single values may be written to a netCDF variable with one of the members of the NF_PUT_VAR1 family, depending on what type of data you have to write. All the values of a variable may be written at once with one of the members of the NF_PUT_VAR family. Arrays or array cross-sections of a variable may be written using members of the NF_PUT_VARA family. Subsampled array sections may be written using members of the NF_PUT_VARS family. Mapped array sections may be written using members of the NF_PUT_VARM family. (Subsampled and mapped access are general forms of data access that are explained later.) Finally, you should explicitly close all netCDF datasets that have been opened for writing by calling NF_CLOSE. By default, access to the file system is buffered by the netCDF library. If a program terminates abnormally with netCDF datasets open for writing, your most recent modifications may be lost. This default buffering of data is disabled by setting the NF_SHARE flag when opening the dataset. But even if this flag is set, changes to attribute values or changes made in define mode are not written out until NF_SYNC or NF_CLOSE is called. 1.2 Reading a NetCDF Dataset with Known Names ============================================= Here we consider the case where you know the names of not only the netCDF datasets, but also the names of their dimensions, variables, and attributes. (Otherwise you would have to do "inquire" calls.) The order of typical C calls to read data from those variables in a netCDF dataset is: NF_OPEN ! open existing netCDF dataset ... NF_INQ_DIMID ! get dimension IDs ... NF_INQ_VARID ! get variable IDs ... NF_GET_ATT ! get attribute values ... NF_GET_VAR ! get values of variables ... NF_CLOSE ! close netCDF dataset First, a single call opens the netCDF dataset, given the dataset name, and returns a netCDF ID that is used to refer to the open netCDF dataset in all subsequent calls. Next, a call to NF_INQ_DIMID for each dimension of interest gets the dimension ID from the dimension name. Similarly, each required variable ID is determined from its name by a call to NF_INQ_VARID.Once variable IDs are known, variable attribute values can be retrieved using the netCDF ID, the variable ID, and the desired attribute name as input to a member of the NF_GET_ATT family (typically NF_GET_ATT_TEXT or NF_GET_ATT_DOUBLE) for each desired attribute. Variable data values can be directly accessed from the netCDF dataset with calls to members of the NF_GET_VAR1 family for single values, the NF_GET_VAR family for entire variables, or various other members of the NF_GET_VARA, NF_GET_VARS, or NF_GET_VARM families for array, subsampled or mapped access. Finally, the netCDF dataset is closed with NF_CLOSE. There is no need to close a dataset open only for reading. 1.3 Reading a netCDF Dataset with Unknown Names =============================================== It is possible to write programs (e.g., generic software) which do such things as processing every variable, without needing to know in advance the names of these variables. Similarly, the names of dimensions and attributes may be unknown. Names and other information about netCDF objects may be obtained from netCDF datasets by calling inquire functions. These return information about a whole netCDF dataset, a dimension, a variable, or an attribute. The following template illustrates how they are used: NF_OPEN ! open existing netCDF dataset ... NF_INQ ! find out what is in it ... NF_INQ_DIM ! get dimension names, lengths ... NF_INQ_VAR ! get variable names, types, shapes ... NF_INQ_ATTNAME ! get attribute names ... NF_INQ_ATT ! get attribute values ... NF_GET_ATT ! get attribute values ... NF_GET_VAR ! get values of variables ... NF_CLOSE ! close netCDF dataset As in the previous example, a single call opens the existing netCDF dataset, returning a netCDF ID. This netCDF ID is given to the NF_INQ routine, which returns the number of dimensions, the number of variables, the number of global attributes, and the ID of the unlimited dimension, if there is one. All the inquire functions are inexpensive to use and require no I/O, since the information they provide is stored in memory when a netCDF dataset is first opened. Dimension IDs use consecutive integers, beginning at 1. Also dimensions, once created, cannot be deleted. Therefore, knowing the number of dimension IDs in a netCDF dataset means knowing all the dimension IDs: they are the integers 1, 2, 3, ... up to the number of dimensions. For each dimension ID, a call to the inquire function NF_INQ_DIM returns the dimension name and length. Variable IDs are also assigned from consecutive integers 1, 2, 3, ... up to the number of variables. These can be used in NF_INQ_VAR calls to find out the names, types, shapes, and the number of attributes assigned to each variable. Once the number of attributes for a variable is known, successive calls to NF_INQ_ATTNAME return the name for each attribute given the netCDF ID, variable ID, and attribute number. Armed with the attribute name, a call to NF_INQ_ATT returns its type and length. Given the type and length, you can allocate enough space to hold the attribute values. Then a call to a member of the NF_GET_ATT family returns the attribute values. Once the IDs and shapes of netCDF variables are known, data values can be accessed by calling a member of the NF_GET_VAR1 family for single values, or members of the NF_GET_VAR, NF_GET_VARA, NF_GET_VARS, or NF_GET_VARM for various kinds of array access. 1.4 Adding New Dimensions, Variables, Attributes ================================================ An existing netCDF dataset can be extensively altered. New dimensions, variables, and attributes can be added or existing ones renamed, and existing attributes can be deleted. Existing dimensions, variables, and attributes can be renamed. The following code template lists a typical sequence of calls to add new netCDF components to an existing dataset: NF_OPEN ! open existing netCDF dataset ... NF_REDEF ! put it into define mode ... NF_DEF_DIM ! define additional dimensions (if any) ... NF_DEF_VAR ! define additional variables (if any) ... NF_PUT_ATT ! define other attributes (if any) ... NF_ENDDEF ! check definitions, leave define mode ... NF_PUT_VAR ! provide new variable values ... NF_CLOSE ! close netCDF dataset A netCDF dataset is first opened by the NF_OPEN call. This call puts the open dataset in data mode, which means existing data values can be accessed and changed, existing attributes can be changed (so long as they do not grow), but nothing can be added. To add new netCDF dimensions, variables, or attributes you must enter define mode, by calling NF_REDEF.In define mode, call NF_DEF_DIM to define new dimensions, NF_DEF_VAR to define new variables, and a member of the NF_PUT_ATT family to assign new attributes to variables or enlarge old attributes. You can leave define mode and reenter data mode, checking all the new definitions for consistency and committing the changes to disk, by calling NF_ENDDEF. If you do not wish to reenter data mode, just call NF_CLOSE, which will have the effect of first calling NF_ENDDEF. Until the NF_ENDDEF call, you may back out of all the redefinitions made in define mode and restore the previous state of the netCDF dataset by calling NF_ABORT. You may also use the NF_ABORT call to restore the netCDF dataset to a consistent state if the call to NF_ENDDEF fails. If you have called NF_CLOSE from definition mode and the implied call to NF_ENDDEF fails, NF_ABORT will automatically be called to close the netCDF dataset and leave it in its previous consistent state (before you entered define mode). At most one process should have a netCDF dataset open for writing at one time. The library is designed to provide limited support for multiple concurrent readers with one writer, via disciplined use of the NF_SYNC function and the NF_SHARE flag. If a writer makes changes in define mode, such as the addition of new variables, dimensions, or attributes, some means external to the library is necessary to prevent readers from making concurrent accesses and to inform readers to call NF_SYNC before the next access. 1.5 Error Handling ================== The netCDF library provides the facilities needed to handle errors in a flexible way. Each netCDF function returns an integer status value. If the returned status value indicates an error, you may handle it in any way desired, from printing an associated error message and exiting to ignoring the error indication and proceeding (not recommended!). For simplicity, the examples in this guide check the error status and call a separate function to handle any errors. The NF_STRERROR function is available to convert a returned integer error status into an error message string. Occasionally, low-level I/O errors may occur in a layer below the netCDF library. For example, if a write operation causes you to exceed disk quotas or to attempt to write to a device that is no longer available, you may get an error from a layer below the netCDF library, but the resulting write error will still be reflected in the returned status value. 1.6 Compiling and Linking with the NetCDF Library ================================================= Details of how to compile and link a program that uses the netCDF C or FORTRAN interfaces differ, depending on the operating system, the available compilers, and where the netCDF library and include files are installed. Nevertheless, we provide here examples of how to compile and link a program that uses the netCDF library on a Unix platform, so that you can adjust these examples to fit your installation. Every FORTRAN file that references netCDF functions or constants must contain an appropriate INCLUDE statement before the first such reference: INCLUDE 'netcdf.inc' Unless the netcdf.inc file is installed in a standard directory where the FORTRAN compiler always looks, you must use the -I option when invoking the compiler, to specify a directory where netcdf.inc is installed, for example: f77 -c -I/usr/local/netcdf/include myprogram.f Alternatively, you could specify an absolute path name in the INCLUDE statement, but then your program would not compile on another platform where netCDF is installed in a different location. Unless the netCDF library is installed in a standard directory where the linker always looks, you must use the -L and -l options to link an object file that uses the netCDF library. For example: f77 -o myprogram myprogram.o -L/usr/local/netcdf/lib -lnetcdf Alternatively, you could specify an absolute path name for the library: f77 -o myprogram myprogram.o -l/usr/local/netcdf/lib/libnetcdf. 2 Datasets ********** 2.1 Datasets Introduction ========================= This chapter presents the interfaces of the netCDF functions that deal with a netCDF dataset or the whole netCDF library. A netCDF dataset that has not yet been opened can only be referred to by its dataset name. Once a netCDF dataset is opened, it is referred to by a netCDF ID, which is a small nonnegative integer returned when you create or open the dataset. A netCDF ID is much like a file descriptor in C or a logical unit number in FORTRAN. In any single program, the netCDF IDs of distinct open netCDF datasets are distinct. A single netCDF dataset may be opened multiple times and will then have multiple distinct netCDF IDs; however at most one of the open instances of a single netCDF dataset should permit writing. When an open netCDF dataset is closed, the ID is no longer associated with a netCDF dataset. Functions that deal with the netCDF library include: * Get version of library. * Get error message corresponding to a returned error code. The operations supported on a netCDF dataset as a single object are: * Create, given dataset name and whether to overwrite or not. * Open for access, given dataset name and read or write intent. * Put into define mode, to add dimensions, variables, or attributes. * Take out of define mode, checking consistency of additions. * Close, writing to disk if required. * Inquire about the number of dimensions, number of variables, number of global attributes, and ID of the unlimited dimension, if any. * Synchronize to disk to make sure it is current. * Set and unset nofill mode for optimized sequential writes. * After a summary of conventions used in describing the netCDF interfaces, the rest of this chapter presents a detailed description of the interfaces for these operations. 2.2 NetCDF Library Interface Descriptions ========================================= Each interface description for a particular netCDF function in this and later chapters contains: * a description of the purpose of the function; * a FORTRAN function prototype that presents the type and order of the formal parameters to the function; * a description of each formal parameter in the C interface; * a list of possible error conditions; and * an example of a FORTRAN program fragment calling the netCDF function (and perhaps other netCDF functions). The examples follow a simple convention for error handling, always checking the error status returned from each netCDF function call and calling a handle_error function in case an error was detected. For an example of such a function, see Section 5.2 "Get error message corresponding to error status: nc_strerror". 2.3 NF_STRERROR =============== The function NF_STRERROR returns a static reference to an error message string corresponding to an integer netCDF error status or to a system error number, presumably returned by a previous call to some other netCDF function. The list of netCDF error status codes is available in the appropriate include file for each language binding. Usage ===== CHARACTER*80 FUNCTION NF_STRERROR(INTEGER NCERR) `NCERR' An error status that might have been returned from a previous call to some netCDF function. Errors ====== If you provide an invalid integer error status that does not correspond to any netCDF error message or or to any system error message (as understood by the system strerror function), NF_STRERROR returns a string indicating that there is no such error status. Example ======= Here is an example of a simple error handling function that uses NF_STRERROR to print the error message corresponding to the netCDF error status returned from any netCDF function call and then exit: INCLUDE 'netcdf.inc' ... SUBROUTINE HANDLE_ERR(STATUS) INTEGER STATUS IF (STATUS .NE. NF_NOERR) THEN PRINT *, NF_STRERROR(STATUS) STOP 'Stopped' ENDIF END 2.4 Get netCDF library version: NF_INQ_LIBVERS ============================================== The function NF_INQ_LIBVERS returns a string identifying the version of the netCDF library, and when it was built. Usage ===== CHARACTER*80 FUNCTION NF_INQ_LIBVERS() Errors ====== This function takes no arguments, and thus no errors are possible in its invocation. Example ======= Here is an example using nc_inq_libvers to print the version of the netCDF library with which the program is linked: INCLUDE 'netcdf.inc' ... PRINT *, NF_INQ_LIBVERS() 2.5 NF_CREATE ============= This function creates a new netCDF dataset, returning a netCDF ID that can subsequently be used to refer to the netCDF dataset in other netCDF function calls. The new netCDF dataset opened for write access and placed in define mode, ready for you to add dimensions, variables, and attributes. A creation mode flag specifies whether to overwrite any existing dataset with the same name and whether access to the dataset is shared. Usage ===== INTEGER FUNCTION NF_CREATE (CHARACTER*(*) PATH, INTEGER CMODE, INTEGER ncid) `PATH' The file name of the new netCDF dataset. `CMODE' The creation mode flag. The following flags are available: NF_NOCLOBBER, NF_SHARE, and NF_64BIT_OFFSET. You can combine the affect of multiple flags in a single argument by using the bitwise OR operator. For example, to specify both NF_NOCLOBBER and NF_SHARE, you could provide the argument OR(NF_NOCLOBBER, NF_SHARE). Setting NF_NOCLOBBER means you do not want to clobber (overwrite) an existing dataset; an error (NF_EEXIST) is returned if the specified dataset already exists. The NF_SHARE flag is appropriate when one process may be writing the dataset and one or more other processes reading the dataset concurrently; it means that dataset accesses are not buffered and caching is limited. Since the buffering scheme is optimized for sequential access, programs that do not access data sequentially may see some performance improvement by setting the NF_SHARE flag. Setting NF_64BIT_OFFSET causes netCDF to create a 64-bit offset format file, instead of a netCDF classic format file. The 64-bit offset format imposes far fewer restrictions on very large (i.e. over 2 GB) data files. *Note Large File Support: (netcdf)Large File Support. A zero value (defined for convenience as NF_CLOBBER) specifies the default behavior: overwrite any existing dataset with the same file name and buffer and cache accesses for efficiency. The dataset will be in netCDF classic format. *Note NetCDF Classic Format Limitations: (netcdf)NetCDF Classic Format Limitations. `ncid' Returned netCDF ID. Errors ====== NF_CREATE returns the value NF_NOERR if no errors occurred. Possible causes of errors include: * Passing a dataset name that includes a directory that does not exist. * Specifying a dataset name of a file that exists and also specifying NF_NOCLOBBER. * Specifying a meaningless value for the creation mode. * Attempting to create a netCDF dataset in a directory where you don't have permission to create files. Example ======= In this example we create a netCDF dataset named foo.nc; we want the dataset to be created in the current directory only if a dataset with that name does not already exist: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS ... STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.6 NF__CREATE ============== This function is a variant of NF_CREATE, NF__CREATE (note the double underscore) allows users to specify two tuning parameters for the file that it is creating. These tuning parameters are not written to the data file, they are only used for so long as the file remains open after an NF_CREATE. This function creates a new netCDF dataset, returning a netCDF ID that can subsequently be used to refer to the netCDF dataset in other netCDF function calls. The new netCDF dataset opened for write access and placed in define mode, ready for you to add dimensions, variables, and attributes. A creation mode flag specifies whether to overwrite any existing dataset with the same name and whether access to the dataset is shared. Usage ===== INTEGER FUNCTION NF_CREATE (CHARACTER*(*) PATH, INTEGER CMODE, INTEGER INITIALSZ, INTEGER CHUNKSIZEHINT, INTEGER ncid) `PATH' The file name of the new netCDF dataset. `CMODE' The creation mode flag. The following flags are available: NF_NOCLOBBER, NF_SHARE, and NF_64BIT_OFFSET. Setting NF_NOCLOBBER means you do not want to clobber (overwrite) an existing dataset; an error (NF_EEXIST) is returned if the specified dataset already exists. The NF_SHARE flag is appropriate when one process may be writing the dataset and one or more other processes reading the dataset concurrently; it means that dataset accesses are not buffered and caching is limited. Since the buffering scheme is optimized for sequential access, programs that do not access data sequentially may see some performance improvement by setting the NF_SHARE flag. Setting NF_64BIT_OFFSET causes netCDF to create a 64-bit offset format file, instead of a netCDF classic format file. The 64-bit offset format imposes far fewer restrictions on very large (i.e. over 2 GB) data files. *Note Large File Support: (netcdf)Large File Support. A zero value (defined for convenience as NF_CLOBBER) specifies the default behavior: overwrite any existing dataset with the same file name and buffer and cache accesses for efficiency. The dataset will be in netCDF classic format. *Note NetCDF Classic Format Limitations: (netcdf)NetCDF Classic Format Limitations. `initialsz' This parameter sets the initial size of the file at creation time. `chunksizehintp' The argument referenced by chunksizehintp 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 chooses 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. `ncid' Returned netCDF ID. Errors ====== NF__CREATE returns the value NF_NOERR if no errors occurred. Possible causes of errors include: * Passing a dataset name that includes a directory that does not exist. * Specifying a dataset name of a file that exists and also specifying NF_NOCLOBBER. * Specifying a meaningless value for the creation mode. * Attempting to create a netCDF dataset in a directory where you don't have permission to create files. Example ======= In this example we create a netCDF dataset named foo.nc; we want the dataset to be created in the current directory only if a dataset with that name does not already exist: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS, INITIALSZ, CHUNKSIZEHINT ... INITIALSZ = 2048 CHUNKSIZEHINT = 1024 STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, INITIALSZ, CHUNKSIZEHINT, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.7 NF_OPEN =========== The function NF_OPEN opens an existing netCDF dataset for access. Usage ===== INTEGER FUNCTION NF_OPEN(CHARACTER*(*) PATH, INTEGER OMODE, INTEGER ncid) `PATH' File name for netCDF dataset to be opened. `OMODE' A zero value (or NF_NOWRITE) specifies the default behavior: open the dataset with read-only access, buffering and caching accesses for efficiency. Otherwise, the creation mode is NF_WRITE, NF_SHARE, or OR(NF_WRITE, NF_SHARE). Setting the NF_WRITE flag opens the dataset with read-write access. ("Writing" means any kind of change to the dataset, including appending or changing data, adding or renaming dimensions, variables, and attributes, or deleting attributes.) The NF_SHARE flag is appropriate when one process may be writing the dataset and one or more other processes reading the dataset concurrently; it means that dataset accesses are not buffered and caching is limited. Since the buffering scheme is optimized for sequential access, programs that do not access data sequentially may see some performance improvement by setting the NF_SHARE flag. `ncid' Returned netCDF ID. Errors ====== NF_OPEN returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF dataset does not exist. * A meaningless mode was specified. Example ======= Here is an example using NF_OPEN to open an existing netCDF dataset named foo.nc for read-only, non-shared access: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS ... STATUS = NF_OPEN('foo.nc', 0, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.8 NF__OPEN ============ The function NF)_OPEN opens an existing netCDF dataset for access, with a performance tuning parameter. Usage ===== INTEGER FUNCTION NF__OPEN(CHARACTER*(*) PATH, INTEGER OMODE, INTEGER CHUNKSIZEHINT, INTEGER ncid) `PATH' File name for netCDF dataset to be opened. `OMODE' A zero value (or NF_NOWRITE) specifies the default behavior: open the dataset with read-only access, buffering and caching accesses for efficiency Otherwise, the creation mode is NF_WRITE, NF_SHARE, or OR(NF_WRITE,NF_SHARE). Setting the NF_WRITE flag opens the dataset with read-write access. ("Writing" means any kind of change to the dataset, including appending or changing data, adding or renaming dimensions, variables, and attributes, or deleting attributes.) The NF_SHARE flag is appropriate when one process may be writing the dataset and one or more other processes reading the dataset concurrently; it means that dataset accesses are not buffered and caching is limited. Since the buffering scheme is optimized for sequential access, programs that do not access data sequentially may see some performance improvement by setting the NF_SHARE flag. `CHUNKSIZEHINT' This argument 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 chooses 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. `ncid' Returned netCDF ID. Errors ====== NF__OPEN returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF dataset does not exist. * A meaningless mode was specified. Example ======= Here is an example using NF__OPEN to open an existing netCDF dataset named foo.nc for read-only, non-shared access: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS, CHUNKSIZEHINT ... CHUNKSIZEHINT = 1024 STATUS = NF_OPEN('foo.nc', 0, CHUNKSIZEHINT, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.9 NF_REDEF ============ The function NF_REDEF puts an open netCDF dataset into define mode, so dimensions, variables, and attributes can be added or renamed and attributes can be deleted. Usage ===== INTEGER FUNCTION NF_REDEF(INTEGER NCID) `NCID' netCDF ID, from a previous call to NF_OPEN or NF_CREATE. Errors ====== NF_REDEF returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF dataset is already in define mode. * The specified netCDF dataset was opened for read-only. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_REDEF to open an existing netCDF dataset named foo.nc and put it into define mode: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) ! open dataset IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_REDEF(NCID) ! put in define mode IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.10 NF_ENDDEF ============== The function NF_ENDDEF 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. Non-record variables may be initialized to a "fill value" as well (*note NF_SET_FILL::). The netCDF dataset is then placed in data mode, so variable data can be read or written. This call may involve copying data under some circumstances. *Note File Structure and Performance: (netcdf)File Structure and Performance. Usage ===== INTEGER FUNCTION NF_ENDDEF(INTEGER NCID) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. Errors ====== NF_ENDDEF returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF dataset is not in define mode. * The specified netCDF ID does not refer to an open netCDF dataset. The size of one or more variables exceed the size constraints for whichever variant of the file format is in use). *Note Large File Support: (netcdf)Large File Support. * Example ======= Here is an example using NF_ENDDEF to finish the definitions of a new netCDF dataset named foo.nc and put it into data mode: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS ... STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! create dimensions, variables, attributes STATUS = NF_ENDDEF(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.11 NF__ENDDEF =============== The function NF__ENDDEF 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. Non-record variables may be initialized to a "fill value" as well (*note NF_SET_FILL::). The netCDF dataset is then placed in data mode, so variable data can be read or written. This call may involve copying data under some circumstances. *Note File Structure and Performance: (netcdf)File Structure and Performance. Caution: this function exposes internals of the netcdf version 1 file format. Users should use nc_enddef in most circumstances. This function 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 nc_redef, nc_enddef by requesting that minfree bytes be available at the end of the section. 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 ALIGN_CHUNK tells the library to use the chunksize (see above) as the align parameter. The file format requires mod 4 alignment, so the align parameters are silently rounded up to multiples of 4. The usual call, nc_enddef(ncid); is equivalent to nc_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. Usage ===== INTEGER FUNCTION NF_ENDDEF(INTEGER NCID, INTEGER H_MINFREE, INTEGER V_ALIGN, INTEGER V_MINFREE, INTEGER R_ALIGN) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `H_MINFREE' Sets the pad at the end of the "header" section. `V_ALIGN' Controls the alignment of the beginning of the data section for fixed size variables. `V_MINFREE' Sets the pad at the end of the data section for fixed size variables. `R_ALIGN' Controls the alignment of the beginning of the data section for variables which have an unlimited dimension (record variables). Errors ====== NF__ENDDEF returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF dataset is not in define mode. * The specified netCDF ID does not refer to an open netCDF dataset. * The size of one or more variables exceed the size constraints for whichever variant of the file format is in use). *Note Large File Support: (netcdf)Large File Support. Example ======= Here is an example using NF__ENDDEF to finish the definitions of a new netCDF dataset named foo.nc and put it into data mode: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS, H_MINFREE, V_ALIGN, V_MINFREE, R_ALIGN ... STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! create dimensions, variables, attributes H_MINFREE = 512 V_ALIGN = 512 V_MINFREE = 512 R_ALIGN = 512 STATUS = NF_ENDDEF(NCID, H_MINFREE, V_ALIGN, V_MINFREE, R_ALIGN) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.12 NF_CLOSE ============= The function NF_CLOSE closes an open netCDF dataset. If the dataset is in define mode, NF_ENDDEF will be called before closing. (In this case, if NF_ENDDEF returns an error, NF_ABORT will automatically be called to restore the dataset to the consistent state before define mode was last entered.) After an open netCDF dataset is closed, its netCDF ID may be reassigned to the next netCDF dataset that is opened or created. Usage ===== INTEGER FUNCTION NF_CLOSE(INTEGER NCID) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. Errors ====== NF_CLOSE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * Define mode was entered and the automatic call made to NF_ENDDEF failed. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_CLOSE to finish the definitions of a new netCDF dataset named foo.nc and release its netCDF ID: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS ... STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! create dimensions, variables, attributes STATUS = NF_CLOSE(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.13 NF_INQ Family ================== Members of the NF_INQ family of functions return information about an open netCDF dataset, given its netCDF ID. Dataset inquire functions may be called from either define mode or data mode. The first function, NF_INQ, returns values for the number of dimensions, the number of variables, the number of global attributes, and the dimension ID of the dimension defined with unlimited length, if any. The other functions in the family each return just one of these items of information. For FORTRAN, these functions include NF_INQ, NF_INQ_NDIMS, NF_INQ_NVARS, NF_INQ_NATTS, and NF_INQ_UNLIMDIM. An additional function, NF_INQ_FORMAT, returns the (rarely needed) format version. No I/O is performed when these functions are called, since the required information is available in memory for each open netCDF dataset. Usage ===== INTEGER FUNCTION NF_INQ (INTEGER NCID, INTEGER ndims, INTEGER nvars,INTEGER ngatts, 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 ngatts) INTEGER FUNCTION NF_INQ_UNLIMDIM (INTEGER NCID, INTEGER unlimdimid) INTEGER FUNCTION NF_INQ_FORMAT (INTEGER NCID, INTEGER format) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `ndims' Returned number of dimensions defined for this netCDF dataset. `nvars' Returned number of variables defined for this netCDF dataset. `ngatts' Returned number of global attributes defined for this netCDF dataset. `unlimdimid' Returned ID of the unlimited dimension, if there is one for this netCDF dataset. If no unlimited length dimension has been defined, -1 is returned. `format' Returned format version, one of NF_FORMAT_CLASSIC, NF_FORMAT_64BIT, NF_FORMAT_NETCDF4, NF_FORMAT_NETCDF4_CLASSIC. Errors ====== All members of the NF_INQ family return the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_INQ to find out about a netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, NDIMS, NVARS, NGATTS, UNLIMDIMID ... STATUS = NF_OPEN('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ(NCID, NDIMS, NVARS, NGATTS, UNLIMDIMID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.14 NF_SYNC ============ The function NF_SYNC offers a way to synchronize the disk copy of a netCDF dataset with in-memory buffers. There are two reasons you might want to synchronize after writes: * To minimize data loss in case of abnormal termination, or * To make data available to other processes for reading immediately after it is written. But note that a process that already had the dataset open for reading would not see the number of records increase when the writing process calls NF_SYNC; to accomplish this, the reading process must call NF_SYNC. This function is backward-compatible with previous versions of the netCDF library. The intent was to allow sharing of a netCDF dataset among multiple readers and one writer, by having the writer call NF_SYNC after writing and the readers call NF_SYNC before each read. For a writer, this flushes buffers to disk. For a reader, it makes sure that the next read will be from disk rather than from previously cached buffers, so that the reader will see changes made by the writing process (e.g., the number of records written) without having to close and reopen the dataset. If you are only accessing a small amount of data, it can be expensive in computer resources to always synchronize to disk after every write, since you are giving up the benefits of buffering. An easier way to accomplish sharing (and what is now recommended) is to have the writer and readers open the dataset with the NF_SHARE flag, and then it will not be necessary to call NF_SYNC at all. However, the NF_SYNC function still provides finer granularity than the NF_SHARE flag, if only a few netCDF accesses need to be synchronized among processes. It is important to note that changes to the ancillary data, such as attribute values, are not propagated automatically by use of the NF_SHARE flag. Use of the NF_SYNC function is still required for this purpose. Sharing datasets when the writer enters define mode to change the data schema requires extra care. In previous releases, after the writer left define mode, the readers were left looking at an old copy of the dataset, since the changes were made to a new copy. The only way readers could see the changes was by closing and reopening the dataset. Now the changes are made in place, but readers have no knowledge that their internal tables are now inconsistent with the new dataset schema. If netCDF datasets are shared across redefinition, some mechanism external to the netCDF library must be provided that prevents access by readers during redefinition and causes the readers to call NF_SYNC before any subsequent access. When calling NF_SYNC, the netCDF dataset must be in data mode. A netCDF dataset in define mode is synchronized to disk only when NF_ENDDEF is called. A process that is reading a netCDF dataset that another process is writing may call NF_SYNC to get updated with the changes made to the data by the writing process (e.g., the number of records written), without having to close and reopen the dataset. Data is automatically synchronized to disk when a netCDF dataset is closed, or whenever you leave define mode. Usage ===== INTEGER FUNCTION NF_SYNC(INTEGER NCID) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. Errors ====== NF_SYNC returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The netCDF dataset is in define mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_SYNC to synchronize the disk writes of a netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! write data or change attributes ... STATUS = NF_SYNC(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 2.15 NF_ABORT ============= You no longer need to call this function, since it is called automatically by NF_CLOSE in case the dataset is in define mode and something goes wrong with committing the changes. The function NF_ABORT just closes the netCDF dataset, if not in define mode. If the dataset is being created and is still in define mode, the dataset is deleted. If define mode was entered by a call to NF_REDEF, the netCDF dataset is restored to its state before definition mode was entered and the dataset is closed. Usage ===== INTEGER FUNCTION NF_ABORT(INTEGER NCID) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. Errors ====== NF_ABORT returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * When called from define mode while creating a netCDF dataset, deletion of the dataset failed. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_ABORT to back out of redefinitions of a dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, LATID ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_REDEF(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_DEF_DIM(NCID, 'LAT', 18, LATID) IF (STATUS .NE. NF_NOERR) THEN ! dimension definition failed CALL HANDLE_ERR(STATUS) STATUS = NF_ABORT(NCID) ! abort redefinitions IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ENDIF ... 2.16 NF_SET_FILL ================ This function is intended for advanced usage, to optimize writes under some circumstances described below. The function NF_SET_FILL sets the fill mode for a netCDF dataset open for writing and returns the current fill mode in a return parameter. The fill mode can be specified as either NF_FILL or NF_NOFILL. The default behavior corresponding to NF_FILL is that data is pre-filled with fill values, that is fill values are written when you create non-record variables or when you write a value beyond data that has not yet been written. This makes it possible to detect attempts to read data before it was written. *Note Fill Values::, for more information on the use of fill values. *Note Attribute Conventions::, for information about how to define your own fill values. The behavior corresponding to NF_NOFILL overrides the default behavior of prefilling data with fill values. This can be used to enhance performance, because it avoids the duplicate writes that occur when the netCDF library writes fill values that are later overwritten with data. A value indicating which mode the netCDF dataset was already in is returned. You can use this value to temporarily change the fill mode of an open netCDF dataset and then restore it to the previous mode. After you turn on NF_NOFILL mode for an open netCDF dataset, you must be certain to write valid data in all the positions that will later be read. Note that nofill mode is only a transient property of a netCDF dataset open for writing: if you close and reopen the dataset, it will revert to the default behavior. You can also revert to the default behavior by calling NF_SET_FILL again to explicitly set the fill mode to NF_FILL. There are three situations where it is advantageous to set nofill mode: 1. Creating and initializing a netCDF dataset. In this case, you should set nofill mode before calling NF_ENDDEF and then write completely all non-record variables and the initial records of all the record variables you want to initialize. 2. Extending an existing record-oriented netCDF dataset. Set nofill mode after opening the dataset for writing, then append the additional records to the dataset completely, leaving no intervening unwritten records. 3. Adding new variables that you are going to initialize to an existing netCDF dataset. Set nofill mode before calling NF_ENDDEF then write all the new variables completely. If the netCDF dataset has an unlimited dimension and the last record was written while in nofill mode, then the dataset may be shorter than if nofill mode was not set, but this will be completely transparent if you access the data only through the netCDF interfaces. The use of this feature may not be available (or even needed) in future releases. Programmers are cautioned against heavy reliance upon this feature. Usage ===== INTEGER FUNCTION NF_SET_FILL(INTEGER NCID, INTEGER FILLMODE, INTEGER old_mode) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `FILLMODE' Desired fill mode for the dataset, either NF_NOFILL or NF_FILL. `old_mode' Returned current fill mode of the dataset before this call, either NF_NOFILL or NF_FILL. Errors ====== NF_SET_FILL returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified netCDF ID does not refer to an open netCDF dataset. * The specified netCDF ID refers to a dataset open for read-only access. * The fill mode argument is neither NF_NOFILL nor NF_FILL.. Example ======= Here is an example using NF_SET_FILL to set nofill mode for subsequent writes of a netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER NCID, STATUS, OMODE ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! write data with default prefilling behavior ... STATUS = NF_SET_FILL(NCID, NF_NOFILL, OMODE) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! write data with no prefilling ... 2.17 NF_SET_DEFAULT_FORMAT ========================== This function is intended for advanced users. Starting in version 3.6, netCDF introduced a new data format, the first change in the underlying binary data format since the netCDF interface was released. The new format, 64-bit offset format, was introduced to greatly relax the limitations on creating very large files. Users are warned that creating files in the 64-bit offset format makes them unreadable by the netCDF library prior to version 3.6.0. For reasons of compatibility, users should continue to create files in netCDF classic format. Users who do want to use 64-bit offset format files can create them directory from NF_CREATE, using the proper cmode flag. (*note NF_CREATE::). The function NF_SET_DEFAULT_FORMAT allows the user to change the format of the netCDF file to be created by future calls to NF_CREATE without changing the cmode flag. This allows the user to convert a program to use 64-bit offset formation without changing all calls the NF_CREATE. *Note Large File Support: (netcdf)Large File Support. Once the default format is set, all future created files will be in the desired format. Two constants are provided in the netcdf.inc file to be used with this function, nf_format_64bit and nf_format_classic. Using NF_CREATE with a cmode including nf_64bit_offset overrides the default format, and creates a 64-bit offset file. Usage ===== INTEGER FUNCTION NF_SET_DEFAULT_FORMAT(INTEGER FORMAT, INTEGER OLD_FORMT) `FORMAT' Either nf_format_64bit or nf_format_classic. `OLD_FORMAT' The default format at the time the function is called is returned here. Errors ====== NF_SET_FILL returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * An NC_EINVAL error is returned if an invalid default format is specified. Example ======= Here is an example using NF_SET_FILL to set nofill mode for subsequent writes of a netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, OLD_FORMAT ... STATUS = NF_SET_DEFAULT_FORMAT(nf_format_64bit, OLD_FORMAT) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... 3 Dimensions ************ 3.1 Dimensions Introduction =========================== Dimensions for a netCDF dataset are defined when it is created, while the netCDF dataset is in define mode. Additional dimensions may be added later by reentering define mode. A netCDF dimension has a name and a length. At most one dimension in a netCDF dataset can have the unlimited length, which means variables using this dimension can grow along this dimension. There is a suggested limit (100) to the number of dimensions that can be defined in a single netCDF dataset. The limit is the value of the predefined macro NF_MAX_DIMS. The purpose of the limit is to make writing generic applications simpler. They need only provide an array of NF_MAX_DIMS dimensions to handle any netCDF dataset. The implementation of the netCDF library does not enforce this advisory maximum, so it is possible to use more dimensions, if necessary, but netCDF utilities that assume the advisory maximums may not be able to handle the resulting netCDF datasets. Ordinarily, the name and length of a dimension are fixed when the dimension is first defined. The name may be changed later, but the length of a dimension (other than the unlimited dimension) cannot be changed without copying all the data to a new netCDF dataset with a redefined dimension length. A netCDF dimension in an open netCDF dataset is referred to by a small integer called a dimension ID. In the FORTRAN interface, dimension IDs are 1, 2, 3, ..., in the order in which the dimensions were defined. Operations supported on dimensions are: * Create a dimension, given its name and length. * Get a dimension ID from its name. * Get a dimension's name and length from its ID. * Rename a dimension. 3.2 NF_DEF_DIM ============== The function NF_DEF_DIM adds a new dimension to an open netCDF dataset in define mode. It returns (as an argument) a dimension ID, given the netCDF ID, the dimension name, and the dimension length. At most one unlimited length dimension, called the record dimension, may be defined for each netCDF dataset. Usage ===== INTEGER FUNCTION NF_DEF_DIM (INTEGER NCID, CHARACTER*(*) NAME, INTEGER LEN, INTEGER dimid) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `NAME' Dimension name. Must begin with an alphabetic character, followed by zero or more alphanumeric characters including the underscore ('_'). Case is significant. `LEN' Length of dimension; that is, number of values for this dimension as an index to variables that use it. This should be either a positive integer or the predefined constant NF_UNLIMITED. `dimid' Returned dimension ID. Errors ====== NF_DEF_DIM returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The netCDF dataset is not in definition mode. * The specified dimension name is the name of another existing dimension. * The specified length is not greater than zero. * The specified length is unlimited, but there is already an unlimited length dimension defined for this netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_DEF_DIM to create a dimension named lat of length 18 and a unlimited dimension named rec in a new netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, LATID, RECID ... STATUS = NF_CREATE('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_DEF_DIM(NCID, 'lat', 18, LATID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_DEF_DIM(NCID, 'rec', NF_UNLIMITED, RECID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 3.3 NF_INQ_DIMID ================ The function NF_INQ_DIMID returns (as an argument) the ID of a netCDF dimension, given the name of the dimension. If ndims is the number of dimensions defined for a netCDF dataset, each dimension has an ID between 1 and ndims. Usage ===== INTEGER FUNCTION NF_INQ_DIMID (INTEGER NCID, CHARACTER*(*) NAME, INTEGER dimid) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `NAME' Dimension name, a character string beginning with a letter and followed by any sequence of letters, digits, or underscore ('_') characters. Case is significant in dimension names. `dimid' Returned dimension ID. Errors ====== NF_INQ_DIMID returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The name that was specified is not the name of a dimension in the netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_INQ_DIMID to determine the dimension ID of a dimension named lat, assumed to have been defined previously in an existing netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, LATID ... STATUS = NF_OPEN('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_DIMID(NCID, 'lat', LATID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 3.4 NF_INQ_DIM Family ===================== This family of functions returns information about a netCDF dimension. Information about a dimension includes its name and its length. The length for the unlimited dimension, if any, is the number of records written so far. The functions in this family include NF_INQ_DIM, NF_INQ_DIMNAME, and NF_INQ_DIMLEN. The function NF_INQ_DIM returns all the information about a dimension; the other functions each return just one item of information. Usage ===== 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) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `DIMID' Dimension ID, from a previous call to NF_INQ_DIMID or NF_DEF_DIM. `NAME' Returned dimension name. The caller must allocate space for the returned name. The maximum possible length, in characters, of a dimension name is given by the predefined constant NF_MAX_NAME. `len' Returned length of dimension. For the unlimited dimension, this is the current maximum value used for writing any variables with this dimension, that is the maximum record number. Errors ====== These functions return the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The dimension ID is invalid for the specified netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_INQ_DIM to determine the length of a dimension named lat, and the name and current maximum length of the unlimited dimension for an existing netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, LATID, LATLEN, RECID, NRECS CHARACTER*(NF_MAX_NAME) LATNAM, RECNAM ... STATUS = NF_OPEN('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ! get ID of unlimited dimension STATUS = NF_INQ_UNLIMDIM(NCID, RECID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_DIMID(NCID, 'lat', LATID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ! get lat length STATUS = NF_INQ_DIMLEN(NCID, LATID, LATLEN) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ! get unlimited dimension name and current length STATUS = NF_INQ_DIM(NCID, RECID, RECNAME, NRECS) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 3.5 NF_RENAME_DIM ================= The function NF_RENAME_DIM renames an existing dimension in a netCDF dataset open for writing. 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. Usage ===== INTEGER FUNCTION NF_RENAME_DIM (INTEGER NCID, INTEGER DIMID, CHARACTER*(*) NAME) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `DIMID' Dimension ID, from a previous call to NF_INQ_DIMID or NF_DEF_DIM. `NAME' New dimension name. Errors ====== NF_RENAME_DIM returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The new name is the name of another dimension. * The dimension ID is invalid for the specified netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. * The new name is longer than the old name and the netCDF dataset is not in define mode. Example ======= Here is an example using NF_RENAME_DIM to rename the dimension lat to latitude in an existing netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, LATID ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! put in define mode to rename dimension STATUS = NF_REDEF(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_INQ_DIMID(NCID, 'lat', LATID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_RENAME_DIM(NCID, LATID, 'latitude') IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ! leave define mode STATUS = NF_ENDDEF(NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4 Variables *********** 4.1 Variables Introduction ========================== Variables for a netCDF dataset are defined when the dataset is created, while the netCDF dataset is in define mode. Other variables may be added later by reentering define mode. A netCDF variable has a name, a type, and a shape, which are specified when it is defined. A variable may also have values, which are established later in data mode. Ordinarily, the name, type, and shape are fixed when the variable is first defined. The name may be changed, but the type and shape of a variable cannot be changed. However, a variable defined in terms of the unlimited dimension can grow without bound in that dimension. A netCDF variable in an open netCDF dataset is referred to by a small integer called a variable ID. Variable IDs reflect the order in which variables were defined within a netCDF dataset. Variable IDs are 1, 2, 3,..., in the order in which the variables were defined. A function is available for getting the variable ID from the variable name and vice-versa. Attributes *Note Attributes:: may be associated with a variable to specify such properties as units. Operations supported on variables are: * Create a variable, given its name, data type, and shape. * Get a variable ID from its name. * Get a variable's name, data type, shape, and number of attributes from its ID. * Put a data value into a variable, given variable ID, indices, and value. * Put an array of values into a variable, given variable ID, corner indices, edge lengths, and a block of values. * Put a subsampled or mapped array-section of values into a variable, given variable ID, corner indices, edge lengths, stride vector, index mapping vector, and a block of values. * Get a data value from a variable, given variable ID and indices. * Get an array of values from a variable, given variable ID, corner indices, and edge lengths. * Get a subsampled or mapped array-section of values from a variable, given variable ID, corner indices, edge lengths, stride vector, and index mapping vector. * Rename a variable. 4.2 Language Types Corresponding to netCDF external data types ============================================================== The following table gives the netCDF external data types and the corresponding type constants for defining variables in the FORTRAN interface: Type FORTRAN API Mnemonic Bits byte NF_BYTE 8 char NF_CHAR 8 short NF_SHORT 16 int NF_INT 32 float NF_FLOAT 32 double NF_DOUBLE 64 The first column gives the netCDF external data type, which is the same as the CDL data type. The next column gives the corresponding FORTRAN parameter for use in netCDF functions (the parameters are defined in the netCDF FORTRAN include-file netcdf.inc). The last column gives the number of bits used in the external representation of values of the corresponding type. Note that there are no netCDF types corresponding to 64-bit integers or to characters wider than 8 bits in the current version of the netCDF library. 4.3 Create a Variable: `NF_DEF_VAR' =================================== The function NF_DEF_VAR adds a new variable to an open netCDF dataset in define mode. It returns (as an argument) a variable ID, given the netCDF ID, the variable name, the variable type, the number of dimensions, and a list of the dimension IDs. Usage ===== INTEGER FUNCTION NF_DEF_VAR(INTEGER NCID, CHARACTER*(*) NAME, INTEGER XTYPE, INTEGER NVDIMS, INTEGER VDIMS(*), INTEGER varid) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `NAME' Variable name. Must begin with an alphabetic character, followed by zero or more alphanumeric characters including the underscore ('_'). Case is significant. `XTYPE' One of the set of predefined netCDF external data types. The type of this parameter, NF_TYPE, is defined in the netCDF header file. The valid netCDF external data types are NF_BYTE, NF_CHAR, NF_SHORT, NF_INT, NF_FLOAT, and NF_DOUBLE. `NVDIMS' Number of dimensions for the variable. For example, 2 specifies a matrix, 1 specifies a vector, and 0 means the variable is a scalar with no dimensions. Must not be negative or greater than the predefined constant NF_MAX_VAR_DIMS. `VDIMS' Vector of ndims dimension IDs corresponding to the variable dimensions. If the ID of the unlimited dimension is included, it must be first. This argument is ignored if ndims is 0. `varid' Returned variable ID. Errors ====== NF_DEF_VAR returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The netCDF dataset is not in define mode. * The specified variable name is the name of another existing variable. * The specified type is not a valid netCDF type. * The specified number of dimensions is negative or more than the constant NF_MAX_VAR_DIMS, the maximum number of dimensions permitted for a netCDF variable. * One or more of the dimension IDs in the list of dimensions is not a valid dimension ID for the netCDF dataset. * The number of variables would exceed the constant NF_MAX_VARS, the maximum number of variables permitted in a netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_DEF_VAR to create a variable named rh of type double with three dimensions, time, lat, and lon in a new netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID INTEGER LATDIM, LONDIM, TIMDIM ! dimension IDs INTEGER RHID ! variable ID INTEGER RHDIMS(3) ! variable shape ... STATUS = NF_CREATE ('foo.nc', NF_NOCLOBBER, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! define dimensions STATUS = NF_DEF_DIM(NCID, 'lat', 5, LATDIM) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_DEF_DIM(NCID, 'lon', 10, LONDIM) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_DEF_DIM(NCID, 'time', NF_UNLIMITED, TIMDIM) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... ! define variable RHDIMS(1) = LONDIM RHDIMS(2) = LATDIM RHDIMS(3) = TIMDIM STATUS = NF_DEF_VAR (NCID, 'rh', NF_DOUBLE, 3, RHDIMS, RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.4 Get a Variable ID from Its Name: NF_INQ_VARID ================================================= The function NF_INQ_VARID returns the ID of a netCDF variable, given its name. Usage ===== INTEGER FUNCTION NF_INQ_VARID(INTEGER NCID, CHARACTER*(*) NAME, INTEGER varid) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `NAME' Variable name for which ID is desired. `varid' Returned variable ID. Errors ====== NF_INQ_VARID returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The specified variable name is not a valid name for a variable in the specified netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_INQ_VARID to find out the ID of a variable named rh in an existing netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID, RHID ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.5 Get Information about a Variable from Its ID: NF_INQ_VAR family =================================================================== A family of functions that returns information about a netCDF variable, given its ID. Information about a variable includes its name, type, number of dimensions, a list of dimension IDs describing the shape of the variable, and the number of variable attributes that have been assigned to the variable. The function NF_INQ_VAR returns all the information about a netCDF variable, given its ID. The other functions each return just one item of information about a variable. These other functions include NF_INQ_VARNAME, NF_INQ_VARTYPE, NF_INQ_VARNDIMS, NF_INQ_VARDIMID, and NF_INQ_VARNATTS. Usage ===== INTEGER FUNCTION NF_INQ_VAR (INTEGER NCID, INTEGER VARID, CHARACTER*(*) name, INTEGER xtype, INTEGER ndims, INTEGER dimids(*), 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(*)) INTEGER FUNCTION NF_INQ_VARNATTS (INTEGER NCID, INTEGER VARID, INTEGER natts) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `NAME' Returned variable name. The caller must allocate space for the returned name. The maximum possible length, in characters, of a variable name is given by the predefined constant NF_MAX_NAME. `xtype' Returned variable type, one of the set of predefined netCDF external data types. The type of this parameter, NF_TYPE, is defined in the netCDF header file. The valid netCDF external data types are NF_BYTE, NF_CHAR, NF_SHORT, NF_INT, NF_FLOAT, AND NF_DOUBLE. `ndims' Returned number of dimensions the variable was defined as using. For example, 2 indicates a matrix, 1 indicates a vector, and 0 means the variable is a scalar with no dimensions. `dimids' Returned vector of *ndimsp dimension IDs corresponding to the variable dimensions. The caller must allocate enough space for a vector of at least *ndimsp integers to be returned. The maximum possible number of dimensions for a variable is given by the predefined constant NF_MAX_VAR_DIMS. `natts' Returned number of variable attributes assigned to this variable. These functions return the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_INQ_VAR to find out about a variable named rh in an existing netCDF dataset named foo.nc: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID INTEGER RHID ! variable ID CHARACTER*31 RHNAME ! variable name INTEGER RHTYPE ! variable type INTEGER RHN ! number of dimensions INTEGER RHDIMS(NF_MAX_VAR_DIMS) ! variable shape INTEGER RHNATT ! number of attributes ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) ! get ID IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_INQ_VAR (NCID, RHID, RHNAME, RHTYPE, RHN, RHDIMS, RHNATT) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.6 Write a Single Data Value: NF_PUT_VAR1_ type ================================================= The functions NF_PUT_VAR1_ type put a single data value of the specified type into a variable of an open netCDF dataset that is in data mode. Inputs are the netCDF ID, the variable ID, an index that specifies which value to add or alter, and the data value. The value is converted to the external data type of the variable, if necessary. Take care when using the simplest forms of this interface with record variables when you don't specify how many records are to be read. If you try to read all the values of a record variable into an array but there are more records in the file than you assume, more data will be read than you expect, which may cause a segmentation violation. Usage ===== INTEGER FUNCTION NF_PUT_VAR1_TEXT(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), CHARACTER CHVAL) INTEGER FUNCTION NF_PUT_VAR1_INT1(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER*1 I1VAL) INTEGER FUNCTION NF_PUT_VAR1_INT2(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER*2 I2VAL) INTEGER FUNCTION NF_PUT_VAR1_INT (INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER IVAL) INTEGER FUNCTION NF_PUT_VAR1_REAL(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), REAL RVAL) INTEGER FUNCTION NF_PUT_VAR1_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), DOUBLE DVAL) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `INDEX' The index of the data value to be written. The indices are relative to 1, so for example, the first data value of a two-dimensional variable would have index (1,1). The elements of index must correspond to the variable's dimensions. Hence, if the variable uses the unlimited dimension, the last index would correspond to the record number. `CHVAL' `I1VAL' `I2VAL' `IVAL' `RVAL' `DVAL' Pointer to the data value to be written. If the type of data values differs from the netCDF variable type, type conversion will occur. *Note Type Conversion: (netcdf)Type Conversion. Errors ====== NF_PUT_VAR1_ type returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified indices were out of range for the rank of the specified variable. For example, a negative index or an index that is larger than the corresponding dimension length will cause an error. * The specified value is out of the range of values representable by the external data type of the variable. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_PUT_VAR1_DOUBLE to set the (4,3,2) element of the variable named rh to 0.5 in an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, so we want to set the value of rh that corresponds to the fourth lon value, the third lat value, and the second time value: INCLUDE 'netcdf.inc' ... INTEGER STATUS ! error status INTEGER NCID INTEGER RHID ! variable ID INTEGER RHINDX(3) ! where to put value DATA RHINDX /4, 3, 2/ ... STATUS = NF_OPEN ('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) ! get ID IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_PUT_VAR1_DOUBLE (NCID, RHID, RHINDX, 0.5) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.7 Write an Entire Variable: NF_PUT_VAR_ TYPE ============================================== The NF_PUT_VAR_ TYPE family of functions write all the values of a variable into a netCDF variable of an open netCDF dataset. This is the simplest interface to use for writing a value in a scalar variable or whenever all the values of a multidimensional variable can all be written at once. The values to be written are associated with the netCDF variable by assuming that the last dimension of the netCDF variable varies fastest in the C interface. The values are converted to the external data type of the variable, if necessary. Take care when using the simplest forms of this interface with record variables when you don't specify how many records are to be written. If you try to write all the values of a record variable into a netCDF file that has no record data yet (hence has 0 records), nothing will be written. Similarly, if you try to write all of a record variable but there are more records in the file than you assume, more data may be written to the file than you supply, which may result in a segmentation violation. Usage ===== INTEGER FUNCTION NF_PUT_VAR_TEXT (INTEGER NCID, INTEGER VARID, CHARACTER*(*) TEXT) INTEGER FUNCTION NF_PUT_VAR_INT1 (INTEGER NCID, INTEGER VARID, INTEGER*1 I1VALS(*)) INTEGER FUNCTION NF_PUT_VAR_INT2 (INTEGER NCID, INTEGER VARID, INTEGER*2 I2VALS(*)) INTEGER FUNCTION NF_PUT_VAR_INT (INTEGER NCID, INTEGER VARID, INTEGER IVALS(*)) INTEGER FUNCTION NF_PUT_VAR_REAL (INTEGER NCID, INTEGER VARID, REAL RVALS(*)) INTEGER FUNCTION NF_PUT_VAR_DOUBLE(INTEGER NCID, INTEGER VARID, DOUBLE DVALS(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `TEXT' `I1VALS' `I2VALS' `IVALS' `RVALS' `DVALS' The block of data values to be written. The data should be of the type appropriate for the function called. You cannot put CHARACTER data into a numeric variable or numeric data into a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). The order in which the data will be written into the specified variable is with the first dimension varying fastest (like the ordinary FORTRAN convention). Errors ====== Members of the NF_PUT_VAR_ TYPE family return the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * One or more of the specified values are out of the range of values representable by the external data type of the variable. * One or more of the specified values are out of the range of values representable by the external data type of the variable. * The specified netCDF dataset is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_PUT_VAR_DOUBLE to add or change all the values of the variable named rh to 0.5 in an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, and that there are ten lon values, five lat values, and three time values. INCLUDE 'netcdf.inc' ... PARAMETER (TIMES=3, LATS=5, LONS=10) ! dimension lengths INTEGER STATUS, NCID, TIMES INTEGER RHID ! variable ID DOUBLE RHVALS(LONS, LATS, TIMES) ... STATUS = NF_OPEN ('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) DO 10 ILON = 1, LONS DO 10 ILAT = 1, LATS DO 10 ITIME = 1, TIMES RHVALS(ILON, ILAT, ITIME) = 0.5 10 CONTINUE STATUS = NF_PUT_var_DOUBLE (NCID, RHID, RHVALS) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.8 Write an Array of Values: NF_PUT_VARA_ TYPE =============================================== The function NF_PUT_VARA_ TYPE writes values into a netCDF variable of an open netCDF dataset. The part of the netCDF variable to write is specified by giving a corner and a vector of edge lengths that refer to an array section of the netCDF variable. The values to be written are associated with the netCDF variable by assuming that the first dimension of the netCDF variable varies fastest in the FORTRAN interface. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_PUT_VARA_TEXT(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), CHARACTER*(*) TEXT) INTEGER FUNCTION NF_PUT_VARA_INT1(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER*1 I1VALS(*)) INTEGER FUNCTION NF_PUT_VARA_INT2(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER*2 I2VALS(*)) INTEGER FUNCTION NF_PUT_VARA_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER IVALS(*)) INTEGER FUNCTION NF_PUT_VARA_REAL(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), REAL RVALS(*)) INTEGER FUNCTION NF_PUT_VARA_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), DOUBLE DVALS(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable where the first of the data values will be written. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The length of START must be the same as the number of dimensions of the specified variable. The elements of START must correspond to the variable's dimensions in order. Hence, if the variable is a record variable, the last index would correspond to the starting record number for writing the data values. `COUNT' A vector of integers specifying the edge lengths along each dimension of the block of data values to written. To write a single value, for example, specify COUNT as (1, 1, ..., 1). The length of COUNT is the number of dimensions of the specified variable. The elements of COUNT correspond to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to write. `TEXT' `I1VALS' `I2VALS' `IVALS' `RVALS' `DVALS' The block of data values to be written. The data should be of the type appropriate for the function called. You cannot put CHARACTER data into a numeric variable or numeric data into a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_PUT_VARA_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified corner indices were out of range for the rank of the specified variable. For example, a negative index, or an index that is larger than the corresponding dimension length will cause an error. * The specified edge lengths added to the specified corner would have referenced data out of range for the rank of the specified variable. For example, an edge length that is larger than the corresponding dimension length minus the corner index will cause an error. * One or more of the specified values are out of the range of values representable by the external data type of the variable. * The specified netCDF dataset is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_PUT_VARA_DOUBLE to add or change all the values of the variable named rh to 0.5 in an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with time, lat, and lon, and that there are three time values, five lat values, and ten lon values. INCLUDE 'netcdf.inc' ... PARAMETER (NDIMS=3) ! number of dimensions PARAMETER (TIMES=3, LATS=5, LONS=10) ! dimension lengths INTEGER STATUS, NCID, TIMES INTEGER RHID ! variable ID INTEGER START(NDIMS), COUNT(NDIMS) DOUBLE RHVALS(LONS, LATS, TIMES) DATA START /1, 1, 1/ ! start at first value DATA COUNT /LONS, LATS, TIMES/ ... STATUS = NF_OPEN ('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) DO 10 ILON = 1, LONS DO 10 ILAT = 1, LATS DO 10 ITIME = 1, TIMES RHVALS(ILON, ILAT, ITIME) = 0.5 10 CONTINUE STATUS = NF_PUT_VARA_DOUBLE (NCID, RHID, START, COUNT, RHVALS) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.9 NF_PUT_VARS_ TYPE ===================== Each member of the family of functions NF_PUT_VARS_ TYPE writes a subsampled (strided) array section of values into a netCDF variable of an open netCDF dataset. The subsampled array section is specified by giving a corner, a vector of counts, and a stride vector. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_PUT_VARS_TEXT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),CHARACTER*(*) TEXT) INTEGER FUNCTION NF_PUT_VARS_INT1 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),INTEGER*1 I1VALS(*)) INTEGER FUNCTION NF_PUT_VARS_INT2 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),INTEGER*2 I2VALS(*)) INTEGER FUNCTION NF_PUT_VARS_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IVALS(*)) INTEGER FUNCTION NF_PUT_VARS_REAL (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), REAL RVALS(*)) INTEGER FUNCTION NF_PUT_VARS_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), DOUBLE DVALS(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable where the first of the data values will be written. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The elements of START correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last index would correspond to the starting record number for writing the data values. `COUNT' A vector of integers specifying the number of indices selected along each dimension. To write a single value, for example, specify COUNT as (1, 1, ..., 1). The elements of COUNT correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to write. `STRIDE' A vector of integers that 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.). `TEXT' `I1VALS' `I2VALS' `IVALS' `RVALS' `DVALS' The block of data values to be written. The data should be of the type appropriate for the function called. You cannot put CHARACTER data into a numeric variable or numeric data into a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_PUT_VARS_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified start, count and stride generate an index which is out of range. * One or more of the specified values are out of the range of values representable by the external data type of the variable. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example of using NF_PUT_VARS_REAL to write - from an internal array - every other point of a netCDF variable named rh which is described by the FORTRAN declaration REAL RH(6,4) (note the size of the dimensions): INCLUDE 'netcdf.inc' ... PARAMETER (NDIM=2) ! rank of netCDF variable INTEGER NCID ! netCDF dataset ID INTEGER STATUS ! return code INTEGER RHID ! variable ID INTEGER START(NDIM) ! netCDF variable start point INTEGER COUNT(NDIM) ! size of internal array INTEGER STRIDE(NDIM) ! netCDF variable subsampling intervals REAL RH(3,2) ! note subsampled sizes for netCDF variable ! dimensions DATA START /1, 1/ ! start at first netCDF variable value DATA COUNT /3, 2/ ! size of internal array: entire (subsampled) ! netCDF variable DATA STRIDE /2, 2/ ! access every other netCDF element ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID(NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_PUT_VARS_REAL(NCID, RHID, START, COUNT, STRIDE, RH) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.10 NF_PUT_VARM_ TYPE ====================== The NF_PUT_VARM_ TYPE family of functions writes a mapped array section of values into a netCDF variable of an open netCDF dataset. The mapped array section is specified by giving a corner, a vector of counts, a stride vector, and an index mapping vector. The index mapping vector is a vector of integers that specifies the mapping between the dimensions of a netCDF variable and the in-memory structure of the internal data array. No assumptions are made about the ordering or length of the dimensions of the data array. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_PUT_VARM_TEXT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), CHARACTER*(*) TEXT) INTEGER FUNCTION NF_PUT_VARM_INT1 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER*1 I1VALS(*)) INTEGER FUNCTION NF_PUT_VARM_INT2 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER*2 I2VALS(*)) INTEGER FUNCTION NF_PUT_VARM_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER IVALS(*)) INTEGER FUNCTION NF_PUT_VARM_REAL (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), REAL RVALS(*)) INTEGER FUNCTION NF_PUT_VARM_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), DOUBLE DVALS(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable where the first of the data values will be written. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The elements of START correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last index would correspond to the starting record number for writing the data values. `COUNT' A vector of integers specifying the number of indices selected along each dimension. To write a single value, for example, specify COUNT as (1, 1, ..., 1). The elements of COUNT correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to write. `STRIDE' A vector of integers that 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' A vector of integers that 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 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). `TEXT' `I1VALS' `I2VALS' `IVALS' `RVALS' `DVALS' The data values to be written. The data should be of the type appropriate for the function called. You cannot put CHARACTER data into a numeric variable or numeric data into a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_PUT_VARM_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified START, COUNT, and STRIDE generate an index which is out of range. Note that no error checking is possible on the imap vector. * One or more of the specified values are out of the range of values representable by the external data type of the variable. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= The following IMAP vector maps in the trivial way a 2x3x4 netCDF variable and an internal array of the same shape: REAL A(2,3,4) ! same shape as netCDF variable INTEGER IMAP(3) DATA IMAP /1, 2, 6/ ! netCDF dimension inter-element distance ! ---------------- ---------------------- ! most rapidly varying 1 ! intermediate 2 (=IMAP(1)*2) ! most slowly varying 6 (=IMAP(2)*3) Using the IMAP vector above with NF_PUT_VARM_REAL obtains the same result as simply using NF_PUT_VAR_REAL. Here is an example of using NF_PUT_VARM_REAL to write - from a transposed, internal array - a netCDF variable named rh which is described by the FORTRAN declaration REAL RH(4,6) (note the size and order of the dimensions): INCLUDE 'netcdf.inc' ... PARAMETER (NDIM=2) ! rank of netCDF variable INTEGER NCID ! netCDF ID INTEGER STATUS ! return code INTEGER RHID ! variable ID INTEGER START(NDIM) ! netCDF variable start point INTEGER COUNT(NDIM) ! size of internal array INTEGER STRIDE(NDIM) ! netCDF variable subsampling intervals INTEGER IMAP(NDIM) ! internal array inter-element distances REAL RH(6,4) ! note transposition of netCDF variable dimensions DATA START /1, 1/ ! start at first netCDF variable element DATA COUNT /4, 6/ ! entire netCDF variable; order corresponds ! to netCDF variable -- not internal array DATA STRIDE /1, 1/ ! sample every netCDF element DATA IMAP /6, 1/ ! would be /1, 4/ if not transposing STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID(NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_PUT_VARM_REAL(NCID, RHID, START, COUNT, STRIDE, IMAP, RH) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) Here is another example of using NF_PUT_VARM_REAL to write - from a transposed, internal array - a subsample of the same netCDF variable, by writing every other point of the netCDF variable: INCLUDE 'netcdf.inc' ... PARAMETER (NDIM=2) ! rank of netCDF variable INTEGER NCID ! netCDF dataset ID INTEGER STATUS ! return code INTEGER RHID ! variable ID INTEGER START(NDIM) ! netCDF variable start point INTEGER COUNT(NDIM) ! size of internal array INTEGER STRIDE(NDIM) ! netCDF variable subsampling intervals INTEGER IMAP(NDIM) ! internal array inter-element distances REAL RH(3,2) ! note transposition of (subsampled) dimensions DATA START /1, 1/ ! start at first netCDF variable value DATA COUNT /2, 3/ ! order of (subsampled) dimensions corresponds ! to netCDF variable -- not internal array DATA STRIDE /2, 2/ ! sample every other netCDF element DATA IMAP /3, 1/ ! would be `1, 2' if not transposing ... STATUS = NF_OPEN('foo.nc', NF_WRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID(NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_PUT_VARM_REAL(NCID, RHID, START, COUNT, STRIDE, IMAP, RH) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.11 NF_GET_VAR1_ TYPE ====================== The functions NF_GET_VAR1_ TYPE get a single data value from a variable of an open netCDF dataset that is in data mode. Inputs are the netCDF ID, the variable ID, a multidimensional index that specifies which value to get, and the address of a location into which the data value will be read. The value is converted from the external data type of the variable, if necessary. Usage ===== INTEGER FUNCTION NF_GET_VAR1_TEXT(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), CHARACTER CHVAL) INTEGER FUNCTION NF_GET_VAR1_INT1(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER*1 I1VAL) INTEGER FUNCTION NF_GET_VAR1_INT2(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER*2 I2VAL) INTEGER FUNCTION NF_GET_VAR1_INT (INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), INTEGER IVAL) INTEGER FUNCTION NF_GET_VAR1_REAL(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), REAL RVAL) INTEGER FUNCTION NF_GET_VAR1_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER INDEX(*), DOUBLE DVAL) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `INDEX' The index of the data value to be read. The indices are relative to 1, so for example, the first data value of a two-dimensional variable has index (1,1). The elements of index correspond to the variable's dimensions. Hence, if the variable is a record variable, the last index is the record number. `chval' `i1val' `i2val' `ival' `rval' `dval' The location into which the data value will be read. You cannot get CHARACTER data from a numeric variable or numeric data from a character variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur. (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_GET_VAR1_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified indices were out of range for the rank of the specified variable. For example, a negative index or an index that is larger than the corresponding dimension length will cause an error. * The value is out of the range of values representable by the desired data type. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_GET_VAR1_DOUBLE to get the (4,3,2) element of the variable named rh in an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, so we want to get the value of rh that corresponds to the fourth lon value, the third lat value, and the second time value: INCLUDE 'netcdf.inc' ... INTEGER STATUS, NCID INTEGER RHID ! variable ID INTEGER RHINDX(3) ! where to get value DOUBLE PRECISION RHVAL ! put it here DATA RHINDX /4, 3, 2/ ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_GET_VAR1_DOUBLE (NCID, RHID, RHINDX, RHVAL) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.12 NF_GET_VAR_ TYPE ===================== The members of the NF_GET_VAR_ TYPE family of functions read all the values from a netCDF variable of an open netCDF dataset. This is the simplest interface to use for reading the value of a scalar variable or when all the values of a multidimensional variable can be read at once. The values are read into consecutive locations with the first dimension varying fastest. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_GET_VAR_TEXT (INTEGER NCID, INTEGER VARID, CHARACTER*(*) text) INTEGER FUNCTION NF_GET_VAR_INT1 (INTEGER NCID, INTEGER VARID, INTEGER*1 i1vals(*)) INTEGER FUNCTION NF_GET_VAR_INT2 (INTEGER NCID, INTEGER VARID, INTEGER*2 i2vals(*)) INTEGER FUNCTION NF_GET_VAR_INT (INTEGER NCID, INTEGER VARID, INTEGER ivals(*)) INTEGER FUNCTION NF_GET_VAR_REAL (INTEGER NCID, INTEGER VARID, REAL rvals(*)) INTEGER FUNCTION NF_GET_VAR_DOUBLE(INTEGER NCID, INTEGER VARID, DOUBLE dvals(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `text' `i1vals' `i2vals' `ivals' `rvals' `dvals' The block of data values to be read. The data should be of the type appropriate for the function called. You cannot read CHARACTER data from a numeric variable or numeric data from a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_GET_VAR_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * One or more of the values are out of the range of values representable by the desired type. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_GET_VAR_DOUBLE to read all the values of the variable named rh from an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, and that there are ten lon values, five lat values, and three time values. INCLUDE 'netcdf.inc' ... PARAMETER (TIMES=3, LATS=5, LONS=10) ! dimension lengths INTEGER STATUS, NCID INTEGER RHID ! variable ID DOUBLE RHVALS(LONS, LATS, TIMES) ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_GET_VAR_DOUBLE (NCID, RHID, RHVALS) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.13 NF_GET_VARA_ TYPE ====================== The members of the NF_GET_VARA_ TYPE family of functions read an array of values from a netCDF variable of an open netCDF dataset. The array is specified by giving a corner and a vector of edge lengths. The values are read into consecutive locations with the first dimension varying fastest. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_GET_VARA_TEXT(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), CHARACTER*(*) text) INTEGER FUNCTION NF_GET_VARA_INT1(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER*1 i1vals(*)) INTEGER FUNCTION NF_GET_VARA_INT2(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER*2 i2vals(*)) INTEGER FUNCTION NF_GET_VARA_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER ivals(*)) INTEGER FUNCTION NF_GET_VARA_REAL(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), REAL rvals(*)) INTEGER FUNCTION NF_GET_VARA_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), DOUBLE dvals(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable where the first of the data values will be read. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The length of START must be the same as the number of dimensions of the specified variable. The elements of START correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last index would correspond to the starting record number for reading the data values. `COUNT' A vector of integers specifying the edge lengths along each dimension of the block of data values to be read. To read a single value, for example, specify COUNT as (1, 1, ..., 1). The length of COUNT is the number of dimensions of the specified variable. The elements of COUNT correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to read. `text' `i1vals' `i2vals' `ivals' `rvals' `dvals' The block of data values to be read. The data should be of the type appropriate for the function called. You cannot read CHARACTER data from a numeric variable or numeric data from a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_GET_VARA_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified corner indices were out of range for the rank of the specified variable. For example, a negative index or an index that is larger than the corresponding dimension length will cause an error. * The specified edge lengths added to the specified corner would have referenced data out of range for the rank of the specified variable. For example, an edge length that is larger than the corresponding dimension length minus the corner index will cause an error. * One or more of the values are out of the range of values representable by the desired type. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_GET_VARA_DOUBLE to read all the values of the variable named rh from an existing netCDF dataset named foo.nc. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, and that there are ten lon values, five lat values, and three time values. INCLUDE 'netcdf.inc' ... PARAMETER (NDIMS=3) ! number of dimensions PARAMETER (TIMES=3, LATS=5, LONS=10) ! dimension lengths INTEGER STATUS, NCID INTEGER RHID ! variable ID INTEGER START(NDIMS), COUNT(NDIMS) DOUBLE RHVALS(LONS, LATS, TIMES) DATA START /1, 1, 1/ ! start at first value DATA COUNT /LONS, LATS, TIMES/ ! get all the values ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_GET_VARA_DOUBLE (NCID, RHID, START, COUNT, RHVALS) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.14 NF_GET_VARS_ TYPE ====================== The NF_GET_VARS_ TYPE family of functions read a subsampled (strided) array section of values from a netCDF variable of an open netCDF dataset. The subsampled array section is specified by giving a corner, a vector of edge lengths, and a stride vector. The values are read with the first dimension of the netCDF variable varying fastest. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_GET_VARS_TEXT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),CHARACTER*(*) text) INTEGER FUNCTION NF_GET_VARS_INT1 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),INTEGER*1 i1vals(*)) INTEGER FUNCTION NF_GET_VARS_INT2 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*),INTEGER*2 i2vals(*)) INTEGER FUNCTION NF_GET_VARS_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER ivals(*)) INTEGER FUNCTION NF_GET_VARS_REAL (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), REAL rvals(*)) INTEGER FUNCTION NF_GET_VARS_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), DOUBLE dvals(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable from which the first of the data values will be read. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The elements of START correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last index would correspond to the starting record number for reading the data values. `COUNT' A vector of integers specifying the number of indices selected along each dimension. To read a single value, for example, specify COUNT as (1, 1, ..., 1). The elements of COUNT correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to read. `STRIDE' A vector of integers specifying, for each dimension, the interval between selected indices or the value 0. The elements of the vector correspond, in order, to the variable's dimensions. A value of 1 accesses adjacent values of the netCDF variable in the corresponding dimension; a value of 2 accesses every other value of the netCDF variable in the corresponding dimension; and so on. A 0 argument is treated as (1, 1, ..., 1). `text' `i1vals' `i2vals' `ivals' `rvals' `dvals' The block of data values to be read. The data should be of the type appropriate for the function called. You cannot read CHARACTER data from a numeric variable or numeric data from a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_GET_VARS_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified start, count and stride generate an index which is out of range. * One or more of the values are out of the range of values representable by the desired type. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= Here is an example using NF_GET_VARS_DOUBLE to read every other value in each dimension of the variable named rh from an existing netCDF dataset named foo.nc. Values are assigned, using the same dimensional strides, to a 2-parameter array. For simplicity in this example, we assume that we know that rh is dimensioned with lon, lat, and time, and that there are ten lon values, five lat values, and three time values. INCLUDE 'netcdf.inc' ... PARAMETER (NDIMS=3) ! number of dimensions PARAMETER (TIMES=3, LATS=5, LONS=10) ! dimension lengths INTEGER STATUS, NCID INTEGER RHID ! variable ID INTEGER START(NDIMS), COUNT(NDIMS), STRIDE(NDIMS) DOUBLE DATA(LONS, LATS, TIMES) DATA START /1, 1, 1/ ! start at first value DATA COUNT /LONS, LATS, TIMES/ DATA STRIDE /2, 2, 2/ ... STATUS = NF_OPEN ('foo.nc', NF_NOWRITE, NCID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) ... STATUS = NF_INQ_VARID (NCID, 'rh', RHID) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) STATUS = NF_GET_VARS_DOUBLE(NCID,RHID,START,COUNT,STRIDE,DATA(1,1,1)) IF (STATUS .NE. NF_NOERR) CALL HANDLE_ERR(STATUS) 4.15 NF_GET_VARM_ TYPE ====================== The NF_GET_VARM_ TYPE family of functions reads a mapped array section of values from a netCDF variable of an open netCDF dataset. The mapped array section is specified by giving a corner, a vector of edge lengths, a stride vector, and an index mapping vector. The index mapping vector is a vector of integers that specifies the mapping between the dimensions of a netCDF variable and the in-memory structure of the internal data array. No assumptions are made about the ordering or length of the dimensions of the data array. The netCDF dataset must be in data mode. Usage ===== INTEGER FUNCTION NF_GET_VARM_TEXT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), CHARACTER*(*) text) INTEGER FUNCTION NF_GET_VARM_INT1 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER*1 i1vals(*)) INTEGER FUNCTION NF_GET_VARM_INT2 (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER*2 i2vals(*)) INTEGER FUNCTION NF_GET_VARM_INT (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), INTEGER ivals(*)) INTEGER FUNCTION NF_GET_VARM_REAL (INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), REAL rvals(*)) INTEGER FUNCTION NF_GET_VARM_DOUBLE(INTEGER NCID, INTEGER VARID, INTEGER START(*), INTEGER COUNT(*), INTEGER STRIDE(*), INTEGER IMAP(*), DOUBLE dvals(*)) `NCID' NetCDF ID, from a previous call to NF_OPEN or NF_CREATE. `VARID' Variable ID. `START' A vector of integers specifying the index in the variable from which the first of the data values will be read. The indices are relative to 1, so for example, the first data value of a variable would have index (1, 1, ..., 1). The elements of START correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last index would correspond to the starting record number for reading the data values. `COUNT' A vector of integers specifying the number of indices selected along each dimension. To read a single value, for example, specify COUNT as (1, 1, ..., 1). The elements of COUNT correspond, in order, to the variable's dimensions. Hence, if the variable is a record variable, the last element of COUNT corresponds to a count of the number of records to read. `STRIDE' A vector of integers specifying, for each dimension, the interval between selected indices or the value 0. The elements of the vector correspond, in order, to the variable's dimensions. A value of 1 accesses adjacent values of the netCDF variable in the corresponding dimension; a value of 2 accesses every other value of the netCDF variable in the corresponding dimension; and so on. A 0 argument is treated as (1, 1, ..., 1). `IMAP' A vector of integers that specifies the mapping between the dimensions of a netCDF variable and the in-memory structure of the internal data array. IMAP(1) gives the distance between elements of the internal array corresponding to the most rapidly varying dimension of the netCDF variable. IMAP(N) (where N is the rank of the netCDF variable) gives the distance between elements of the internal array corresponding to the most slowly varying dimension of the netCDF variable. Intervening IMAP elements correspond to other dimensions of the netCDF variable in the obvious way. Distances between elements are specified in 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). `text' `i1vals' `i2vals' `ivals' `rvals' `dvals' The block of data values to be read. The data should be of the type appropriate for the function called. You cannot read CHARACTER data from a numeric variable or numeric data from a text variable. For numeric data, if the type of data differs from the netCDF variable type, type conversion will occur (*note Type Conversion: (netcdf)Type Conversion.). Errors ====== NF_GET_VARM_ TYPE returns the value NF_NOERR if no errors occurred. Otherwise, the returned status indicates an error. Possible causes of errors include: * The variable ID is invalid for the specified netCDF dataset. * The specified START, COUNT, and STRIDE generate an index which is out of range. Note that no error checking is possible on the imap vector. * One or more of the values are out of the range of values representable by the desired type. * The specified netCDF is in define mode rather than data mode. * The specified netCDF ID does not refer to an open netCDF dataset. Example ======= The following IMAP vector maps in the trivial way a 2x3x4 netCDF variable and an internal array of the same shape: REAL A(2,3,4) ! same shape as netCDF variable INTEGER IMAP(3) DATA IMAP /1, 2, 6/ ! netCDF dimension inter-element distance ! ---------------- ---------------------- ! most rapidly varying 1 ! intermediate 2 (=IMAP(1)*2) ! most slowly varying 6 (=IMAP(2)*3) Using the IMAP vector above with NF_GET_VARM_REAL obtains the same result as simply using NF_GET_VAR_REAL. Here is an example of using NF_GET_VARM_REAL to transpose a netCDF variable named rh which is described by the FORTRAN declaration REAL RH(4,6) (note the size and order of the dimensions): INCLUDE 'netcdf.inc' ... PARAMETER (NDIM=2) ! rank of netCDF variable INTEGER NCID ! netCDF dataset ID INTEGER STATUS ! return code INTEGER RHID ! variable ID INTEGER START(NDIM) ! netCDF variable start point INTEGER COUNT(NDIM) ! size of internal array INTEGER STRIDE(NDIM) ! netCDF variable subsampling intervals INTEGER IMAP(NDIM) ! internal array inter-element distances REAL RH(6,4) ! note transposition of netCDF variable dimensions DATA START /1, 1/ ! start at first netCDF variable element DATA COUNT /4, 6/ ! entire netCDF variable; order corresponds ! to netCDF variable -- not internal array DATA STRIDE /1, 1/ ! sample every netCDF element DATA IMAP /6, 1/ ! would be /1, 4/ if not transposing