The NCEPLIBS-bufr library contains routines and utilites for working with the WMO BUFR format. It is part of the NCEPLIBS project.

For full documentation of the library, see https://noaa-emc.github.io/NCEPLIBS-bufr/.

NCEPLIBS-bufr is used by numerous other projects including:

• gfs-utils from NOAA's global workflow.
• NCAR's Gridpoint Statistical Interpolation (GSI).
• obsproc in the NOAA Operational Model Archive and Distribution System (NOMADS).
• prepobs from the The NCEP Production Suite.
• bufr-dump which is run by all of the NOAA model data assimilation systems when it's time to collect data for use in the analyses.
• the Global Ensemble Forecast System(GEFS).
• the High-Resolution Rapid Refresh model (HRRR).
• NOAA's Rapid Refresh (RAP) assimilation/modeling system.

To submit bug reports, feature requests, or other code-related issues including installation and usage questions, please create a GitHub issue. For general NCEPLIBS inquiries, contact Edward Hartnett (secondary point of contact Alex Richert).

Jack Woollen, Jeff Ator, Dennis Keyser, Stacey Bender, Diane Stokes, Edward Hartnett, Jeff Whitaker, Rahul Mahajan, Alex Richert, Ron McLaren, and Dom Heinzeller.

Code manager: Jeff Ator

Download tarball from Releases and unpack.

mkdir build && cd build
cmake -DCMAKE_INSTALL_PREFIX=path1 -DMASTER_TABLE_DIR=path2 ..
make -j4
ctest
make install

Both path1 and path2 may be full or relative pathnames on the system, up to a maximum of 90 characters each.

Installation of the library and utilities will be under path1. Installation of the master BUFR tables will be under path2, or under path1 if -DMASTER_TABLE_DIR=path2 is omitted from the above cmake command.

If Python interoperability is desired, -DENABLE_PYTHON=ON can also be added to the above cmake command. However, version 3 of Python must be installed and available on the system.

Hartnett, E., Ator, J, Lei, H., Richert, A., Woollen, J., King, A., Hartnett, A., NCEPLIBS GRIB and BUFR Libraries: Maintaining and Modernizing NOAA's Libraries for WMO Data Formats, American Geophysical Union (AGU) 2023. (See also poster).

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