WDB

WDB is a database system designed to store meteorological, hydrological and oceanographic (MHO) data in a PostgreSQL database management server. The purpose of the WDB system is to improve the quality and effectiveness of IT systems for MHO production by providing a flexible and effective data storage solution for real-time and archive data.

• Decode and store meteorological and oceanographic forecast fields
  • WDB has loading programs to load forecasts, analysis, wave and circulations models stored in GRIB1 and FELT format. Metadata is provided for HIRLAM fields

• Flexible retrieval interface
  • The WDB Call Interface (WCI) allows the extraction of entire fields or points (time-series) from the database using an SQL-based function interface.
  • WCI is compatible with C++; it should be usable in C, Java, Perl, Python, and Fortran as well (however, these interfaces are not yet tested).

• Open Source
  • WDB is licensed under GPL2 or (at your option) any later version.

The latest release of WDB is version 0.7.5. WDB has been in limited usage as a forecast archive since version 0.6.0 released in March 2008.

To subscribe to release information about WDB, register on Freshmeat and subscribe to WDB.

The WDB Mailing Lists should be your first stop if you have problems with WDB.

Search the mailing list archives to see if your problem has been answered before. If you are unable to find a response that helps you, post your questions to the appropriate mailing list (non-subscribers can post). For questions not concerning the development of WDB, use the WDB Users mailing list.

WDB is an open-source project; we welcome contributions to the code and we will help you get more involved, if you want to be. Use the For Developers section on the left, and post your questions, ideas, and suggestions to the WDB Development mailing list.

See the roadmap for a detailed roadmap of WDB, broken down by release. On the executive level, the future development of WDB is targetted toward:

• Putting WDB into production in the Hindcast project (multi-terabyte forecast field archive)
• Improving the performance of the overall system; but in particular the extraction of forecast points from fields in time series
• Improving the test framework and documentation
• Creating a load-balancing and fail-over solution for the WDB system