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NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

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NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010. Unidata. Mission: To provide the data services, tools, and cyberinfrastructure leadership that advance Earth system science, enhance educational opportunities, and broaden participation. Unidata Software. NetCDF – data format and libraries. - PowerPoint PPT Presentation

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Page 1: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF and HDF5Ed Hartnett, Unidata/UCAR, 2010

Page 2: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Unidata

• Mission: To provide the data services, tools, and cyberinfrastructure leadership that advance Earth system science, enhance educational opportunities, and broaden participation.

Page 3: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Unidata Software

• NetCDF – data format and libraries.• NetCDF-Java/common data model – reads

many data formants (HDF5, HDF4, GRIB, BUFR, many more).

• THREDDS – Data server for cataloging and serving data.

• IDV – Integrated Data Viewer• IDD/LDM – Peer to peer data distribution.• UDUNITS – Unit conversions.

Page 4: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

What is NetCDF?

NetCDF is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data.

First released in 1989. NetCDF-4.0 (June, 2008) introduces many

new features, while maintaining full code and data compatibility.

Page 5: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

The NetCDF-4 Project

• Does not indicate any lack of commitment or compatibility for classic formats.

• Uses HDF5 as data storage layer.• Also provides read-only access to

some HDF4, HDF5 archives.• Parallel I/O for high performance

computing.

Page 6: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Disk Formats

Page 7: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010
Page 8: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Commitment to Backward CompatibilityBecause preserving access to archived datafor future generations is sacrosanct:

• NetCDF-4 provides both read and write access to all earlier forms of netCDF data.

• Existing C, Fortran, and Java netCDF programs will continue to work after recompiling and relinking.

• Future versions of netCDF will continue to support both data access compatibility and API compatibility.

Page 9: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Who Uses NetCDF?

• NetCDF is widely used in University Earth Science community.

• Used for IPCC data sets.

• Used by NASA and other large data producers.

Page 10: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

The OPeNDAP Client

OPenDAP (http://www.opendap.org/) is a widely supported protocol for access to remote data

Defined and maintained by the OPenDAP organization

Designed to serve as intermediate format for accessing a wide variety of data sources.

Client is now built into netCDF C library.

Page 11: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Using OPeNDAP Client

In order to access DAP data sources, you need a special format URL:

[limit=5]http://test.opendap.org/dods/dts/test.32.X?windW[0:10:2]&CS02.light>

Location of data source and its part, where X is one of "dds", "das", or "dods"

Constraints on what part of the data source is to be sent.

Page 12: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Data Models The netCDF data model, consisting of

variables, dimensions, and attributes (the classic model), has been expanded in version 4.0.

The enhanced 4.0 model adds expandable dimensions, strings, 64-bit integers, unsigned integers, groups and user-defined types.

The 4.0 release also adds some features that need not use the enhanced model, like compression, chunking, endianness control, checksums, parallel I/O.

Page 13: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Classic Model

• Contains dimensions, variables, and attributes.

Page 14: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Classic Model

Page 15: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Enhanced Model

Page 16: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Enhanced Model

Variable

AttributeAttribute

Variable

AttributeAttribute

AttributeAttribute

Variable

AttributeAttribute

Variable

AttributeAttribute

AttributeAttribute

A netCDF-4 file can organize variable, dimensions, andattributes in groups, which can be nested.

Variable

AttributeAttribute

AttributeAttribute

Page 17: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Reasons to Use Classic Model

• Provides compatibility with existing netCDF programs.

• Still possible to use chunking, parallel I/O, compression, endianness control.

• Simple and powerful data model.

Page 18: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Accessing HDF5 Data with NetCDF

NetCDF (starting with version 4.1) provides read-only access to existing HDF5 files if they do not violate some rules: Must not use circular group structure. HDF5 reference type (and some other more obscure types) are not understood. Write access still only possible with netCDF-4/HDF5 files.

Page 19: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Reading HDF5 with NetCDF

Before netCDF-4.1, HDF5 files had to use creation ordering and dimension scales in order to be understood by netCDF-4. Starting with netCDF-4.1, read-only access is possible to HDF5 files with alphabetical ordering and no dimension scales. (Created by HDF5 1.6 perhaps.) HDF5 may have dimension scales for all dimensions, or for no dimensions (not for just some of them).

Page 20: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Accessing HDF4 Data with NetCDF

Starting with version 4.1, netCDF will be able to read HDF4 files created with the “Scientific Dataset” (SD) API. This is read-only: NetCDF can't write HDF4! The intention is to make netCDF software work automatically with important HDF4 scientific data collections.

Page 21: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Confusing: HDF4 Includes NetCDF v2 API

•A netCDF V2 API is provided with HDF4 which writes SD data files. • This must be turned off at HDF4 install-time if netCDF and HDF4 are to be linked in the same application.• There is no easy way to use both HDF4 with netCDF API and netCDF with HDF4 read capability in the same program.

Page 22: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Building NetCDF for HDF5/HDF4 Access

This is only available for those who also build netCDF with HDF5. HDF4, HDF5, zlib, and other compression libraries must exist before netCDF is built. Build like this:./configure –with-hdf5=/home/ed –enable-hdf4

Page 23: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Building User Programs with HDF5/HDF4 Access

Include locations of netCDF, HDF5, and HDF4 include directories:-I/loc/of/netcdf/include -I/loc/of/hdf5/include -I/loc/of/hdf4/include The HDF4 and HDF5 libraries (and associated libraries) are needed and must be linked into all netCDF applications. The locations of the lib directories must also be provided:-L/loc/of/netcdf/lib -L/loc/of/hdf5/lib -L/loc/of/hdf4/lib -lmfhdf -ldf -ljpeg -lhdf5_hl -lhdf5 -lz

Page 24: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Using HDF4

You don't need to identify the file as HDF4 when opening it with netCDF, but you do have to open it read-only. The HDF4 SD API provides a named, shared dimension, which fits easily into the netCDF model. The HDF4 SD API uses other HDF4 APIs, (like vgroups) to store metadata. This can be confusing when using the HDF4 data dumping tool hdp.

Page 25: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

HDF4 MODIS File ncdumped

../ncdump/ncdump -h MOD29.A2000055.0005.005.2006267200024.hdf netcdf MOD29.A2000055.0005.005.2006267200024 {dimensions:Coarse_swath_lines_5km\:MOD_Swath_Sea_Ice = 406 ;Coarse_swath_pixels_5km\:MOD_Swath_Sea_Ice = 271 ;Along_swath_lines_1km\:MOD_Swath_Sea_Ice = 2030 ;Cross_swath_pixels_1km\:MOD_Swath_Sea_Ice = 1354 ;variables:float Latitude(Coarse_swath_lines_5km\:MOD_Swath_Sea_Ice, Coarse_swath_pixels_5km\:MOD_Swath_Sea_Ice) ;Latitude:long_name = "Coarse 5 km resolution latitude" ;Latitude:units = "degrees" ;...

Page 26: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Accessing HDF4-EOS Data with NetCDF

• Data can be read, but netCDF does not (yet) understand how to break down the StructMetadata attribute into useful information.

// global attributes::HDFEOSVersion = "HDFEOS_V2.9" ;:StructMetadata.0 = "GROUP=SwathStructure\n\

tGROUP=SWATH_1\n\t\tSwathName=\"MOD_Swath_Sea_Ice\"\n\t\tGROUP=Dimension\n\t\t\\tOBJECT=Dimension_1\n\t\t\t\tDimensionName=\"Coarse_swath_lines_5km\"\n\t\t\t\tSize=406\n\t\t\tEND_OBJECT=Dimension_1\n\t\t\tOBJECT=Dimension_2\n\t\t\t\tDimensionName=\"Coarse_swath_pixels_5km\"\n\t\t\t\tSize=271\n\t\t\t...

Page 27: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Contribute Code to Write HDF4?

Some programmers use the netCDF v2 API to write HDF4 files. It would not be too hard to write the glue code to allow the v2 API -> HDF4 output from the netCDF library. The next step would be to allow netCDF v3/v4 API code to write HDF4 files. Writing HDF4 seems like a low priority to our users. I would be happy to help any user who would like to undertake this task.

Page 28: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Parallel I/O with NetCDF

• Parallel I/O allows many processes to read/write netCDF data at the same time.

• Used properly, parallel I/O allows users to overcome I/O bottlenecks in high performance computing environments.

• A parallel I/O file system is required for much improvement in I/O throughput.

• NetCDF-4 can use parallel I/O with netCDF-4/HDF5 files, or netCDF classic files (with pnetcdf library).

Page 29: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Parallel I/O C Examplenc_create_par(FILE, NC_NETCDF4|NC_MPIIO, comm, info, &ncid); nc_def_dim(ncid, "d1", DIMSIZE, dimids); nc_def_dim(ncid, "d2", DIMSIZE, &dimids[1]); nc_def_var(ncid, "v1", NC_INT, NDIMS, dimids, &v1id); /* Set up slab for this process. */ start[0] = mpi_rank * DIMSIZE/mpi_size; start[1] = 0; count[0] = DIMSIZE/mpi_size; count[1] = DIMSIZE; nc_var_par_access(ncid, v1id, NC_INDEPENDENT); nc_put_vara_int(ncid, v1id, start, count, &data[mpi_rank*QTR_DATA]);

Page 30: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF APIs

The netCDF core library is written in C and Java.Fortran 77 is “faked” when netCDF is built – actually C functions are called by Fortran 77 API.A C++ API also calls the C API, a new C++ API us under development to support netCDF-4 more fully.

Page 31: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

C API

nc_create(FILE_NAME, NC_CLOBBER, &ncid);

nc_def_dim(ncid, "x", NX, &x_dimid);

nc_def_dim(ncid, "y", NY, &y_dimid);

dimids[0] = x_dimid;

dimids[1] = y_dimid;

nc_def_var(ncid, "data", NC_INT, NDIMS,

dimids, &varid);

nc_enddef(ncid);

nc_put_var_int(ncid, varid, &data_out[0][0]);

nc_close(ncid);

Page 32: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Fortran APIcall check( nf90_create(FILE_NAME, NF90_CLOBBER, ncid) )call check( nf90_def_dim(ncid, "x", NX, x_dimid) )call check( nf90_def_dim(ncid, "y", NY, y_dimid) )

dimids = (/ y_dimid, x_dimid /)

call check( nf90_def_var(ncid, "data", NF90_INT, dimids, varid) )

call check( nf90_enddef(ncid) )call check( nf90_put_var(ncid, varid, data_out) )call check( nf90_close(ncid) )

Page 33: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

New C++ API (cxx4)

Existing C++ API works with netCDF-4 classic model files.The existing API was written before many features of C++ became standard, and thus needed updating.A new C++ API has been partially developed .You can build the new API (which is not complete!) with --enable-cxx4.

Page 34: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Java API

dataFile = NetcdfFileWriteable.createNew(filename, false);

// Create netCDF dimensions,

Dimension xDim = dataFile.addDimension("x", NX );

Dimension yDim = dataFile.addDimension("y", NY );

ArrayList dims = new ArrayList();

// define dimensions

dims.add( xDim);

dims.add( yDim);

...

Page 35: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Tools

• ncdump – ASCII or NcML dump of data file.• ncgen – Take ASCII or NcML and create data

file.• nccopy – Copy a file, changing format,

compression, chunking, etc.

Page 36: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

ConventionsThe NetCDF User's Guide recommends some conventions (ex. "units" and "Conventions" attributes).Conventions are published agreements about how data of a particular type should be represented to foster interoperability.Most conventions use attributes.Use of an existing convention is highly recommended. Use the CF Conventions, if applicable.A netCDF file should use the global "Conventions" attribute to identify which conventions it uses.

Page 37: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Climate and Forecast Conventions

The CF Conventions are becoming a widely used standard for atmospheric, ocean, and climate data.The NetCDF Climate and Forecast (CF) Metadata Conventions, Version 1.3, describes consensus representations for climate and forecast data using the netCDF-3 data model.

Page 38: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

LibCF

The NetCDF CF Library supports the creation of scientific data files conforming to the CF conventions, using the netCDF API.

Now distributed with netCDF. Now home of GRIDSPEC: A standard for

the description of grids used in Earth System models, developed by V. Balaji, GFDL, proposed as a Climate and Forecast (CF) convention.

Page 39: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

UDUNITS

The Unidata units library, udunits, supports conversion of unit specifications between formatted and binary forms, arithmetic manipulation of unit specifications, and conversion of values between compatible scales of measurement.

Now being distributed with netCDF.

Page 40: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF 4.1.2 Release

• Performance improvements: much faster file opens (factor of 200 speedup).

• Better memory handling, much better testing for leaks and memory errors in netCDF and HDF5.

• nccopy now can compress and re-chunk data.

• Refactoring of dispatch layer (invisible to user).

Page 41: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Future Plans• By “plans” we really mean “aspirations.”• We us agile programming, with aggressive

refactoring, and heavy reliance on automatic testing.

• Our highest priority is fixing bugs so that we do not have a bug-list to maintain and prioritize.

Page 42: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Plans: Fortran Refactor

• We plan a complete Fortran re-factor within the next year.

• Fortan 90 and Fortran 77 backward compatibility will be preserved. No user code will need to be rewritten.

• Fortan 90 compilers will be required (even for F77 API code). Fortran 77 compilers will not work with netCDF releases after the refactor.

• Fortran 90 API will be rewritten with Fortran 2003 C interoperability features. Fortran 77 API will be rewritten in terms of Fortran 90 API.

Page 43: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Plans: Windows Port

• Recent refactoring of netCDF architecture requires (yet another) Windows port. This is planned for the end of 2010.

• Windows ports are not too hard, but require a detailed knowledge of Microsoft's latest changes and developments of the Windows platform.

• I invite collaboration with any Windows programmer who would like to help with the Windows port.

Page 44: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Plans: Virtual Files

• There are some uses (including LibCF/GRIDSPEC) for disk-less netCDF files – that is, files which exist only in memory.

• I am experimenting with this now – interested users should contact me at: [email protected]

Page 45: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Plans: More Formats

• The NetCDF Java library can read many formats that are a mystery to the C-based library.

• Recent refactoring of the netCDF architecture makes it easier to support additional formats.

• We would like to support GRIB and BUFR next. We seek collaboration with interested users.

Page 46: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Team – Russ Rew

• Vision.• nccopy• classic library

Page 47: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Team – Ed Hartnett

• NetCDF-4• Release engineering• Parallel I/O• LibCF• Fortran libraries

Page 48: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Team – Dennis Heimbigner

• Opendap client.• New ncdump/ncgen• Some netCDF-Java

Page 49: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Team – John Caron

• NetCDF-Java• Common Data Model

Page 50: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Support Send bug reports to:[email protected] Your support email will enter a support tracking system which will ensure that it does not get lost.But it may take us a while to solve your problem...

Page 51: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Snapshot Releases and Daily Testing

• Automatic daily test runs at Unidata ensure that our changes don't break netCDF.

• Test results available on-line at NetCDF web site.

• Daily snapshot release provided so users can get latest code, and iterate fixes with netCDF developers.

Page 52: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

NetCDF Workshop

• Annual netCDF workshop is a good place to learn the latest developments in netCDF, and talk to netCDF developers.

• October 28-29, 2010, and swanky Mesa Lab at NCAR – great views, mountain trails, without the usual riffraff.

• Preceded by data format summit.

Page 53: NetCDF and HDF5 Ed Hartnett, Unidata/UCAR, 2010

Questions?

• Any questions?