The Unidata netCDF group is pleased to announce the 4.2 release of the netCDF C library.

This release contains performance enhancements, bug fixes, a few new features in utilities, and internal refactoring. It is designed to be compatible with existing netCDF data and software.

The Climate and Scientific Computing group at UC Irvine seeks a permanent, full time programmer with enthusiasm for applying advanced computing techniques to global environmental problems. We develop software to analyze climate model and satellite data in order to improve understanding of Earth's climate.

Version 4.0.9 of the netCDF Operators (NCO) has been released. NCO is an Open Source package that consists of a dozen standalone, command-line programs that take netCDF files as input, then operate (e.g., derive new data, average, print, hyperslab, manipulate metadata) and output the results to screen or files in text, binary, or netCDF formats.

NCAR's Computational and Information Systems Laboratory (CISL) Research Data Archive (RDA) contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.

CISL's Data Support Section, which manages the Research Data Archive, recently announced that users of some subsets of the archived data can request files in NetCDF format.

The Unidata NetCDF group is pleased to announce the new 4.1.3 release of the netCDF C/Fortran/C++ libraries.

Indexes vs. indexes.  Gray's third requirement:

3. Intelligent indexes: for efficiently subsetting and filtering the data.

Gray's second desiderata gloria scientia: 

2. Schema language: powerful data definition tools allow one to specify the abstract data formats and to specify how the data is organized.

Talking about the first of Gray's criteria for scalable Scientific Data Management Systems:

1. Data independence: the physical data organization can change without breaking existing applications