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• DART -- Jamaica 12Apr2007
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• CAM-DART
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• DART Developer page
• Ensemble Filtering Tutorial 19Jan2005
• Historical
• Panel Meeting 24Sept2004

NCAR Data Assimilation Initiative - AKA Data Assimilation Research Section

The NCAR Data Assimilation Initiative was founded to create and to then lead 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 assimilation experts, modelers, observational specialists and statisticians easier and more productive than was possible in the past.

The maturation of the Initiative resulted in the Data Assimilation Research Section (DAReS): a component of IMAGe whose primary goal is to support this initiative. A centerpiece of this section is the Data Assimilation Research Testbed (DART), a software environment for making it easy to match a variety of data assimiliation methods to different numerical models and different kinds of observations. Also, DAReS accelerates 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 jamaica distribution (12-APR-2007) of DART is available!

This version includes an updated scalable filtering algorithm and uses MPI for greatly improved performance. The inflation algorithms (including a posterior inflation option) have been improved and are now part of the filter namelist (for those of you in the know). The Jamaica release document is available -- as is a Jamaica differences document.

Much effort has gone into extensible observation processing. The distribution has pruned some of the dead wood the code has been through the crucible of 12 compilers. It 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!

Summer Graduate Workshop on Data Assimilation for the Carbon Cycle -- 8-13 July 2007

This summer school exposed students in the geosciences, ecology, and mathematics to multidisciplinary science through a focus on estimating the sources and sinks of carbon for the Earth system. One goal is to train the next generation of researchers to work within a multidisciplinary science team that combines geoscientists, ecologists, applied mathematicians, and statisticians.

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 : [  DAReS   TNT   GSP   CMG  ]
For problems with the page, contact Tim Hoar - thoar 'at' ucar 'dot' edu

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