NCAR Data Assimilation Research Section -- DAReS

The NCAR Data Assimiliation Research Section (DAReS - formerly DAI) is creating and leading a research community for data assimilation where individuals benefit from sharing ideas, methodologies, and software tools as well as access to a data assimilation testbed. NCAR has a large number of researchers for whom data assimilation is an essential part of their ongoing or planned research. New developments in theoretical data assimilation and in software engineering are making collaborations between data assimiliation experts, modelers, observational specialists and statisticians easier and more productive than was possible in the past. The DAReS is accelerating the progress of many other NCAR projects by providing a centralized data assimilation expertise which can be coordinated with existing observational and modeling expertise.

The iceland distribution of DART is ready!

A lot of effort has gone into extensible observation processing. The distribution has had some of the dead wood pruned, the code has been through the crucible of 5 compilers and is ready for friendly use. If you take a copy, please let us know -- and then let us know what you do and don't like!

Joint SAMSI/IMAGe Workshop -- June 2005

The ability to combine observations with a numerical model is critical to understanding and predicting geophysical systems like the earth's atmosphere. This summer school will be presented by statisticians and geophysicists who are leaders in the field of data assimilation. By bridging the gap between basic and applied research on ensemble data assimilation, the workshop will provide participants with an understanding of the most recent advances and the most critical unsolved problems in this rapidly growing field. Lectures and discussion will be supplemented by a series of computational explorations using the Data Assimilation Research Testbed facility at the National Center for Atmospheric Research. By the end of the workshop, participants will be equipped with the tools to attack the problems posed in the lectures and to undertake research in data assimilation for a large variety of applications.

For more information about the Data Assimilation Initiative, please contact:

UCAR : NCAR : CISL : IMAGe :   DAI   TNT   GSP
For problems with the page, contact Tim Hoar - thoar 'at' ucar 'dot' edu

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