LEAD Status Report
May 2004
Doug Lindholm
Tom Baltzer
Mohan Ramamurthy
Overview
The Linked Environments for Atmospheric Discovery (
LEAD) is a National Science Foundation
Large Information Technology Research (ITR) project that is creating
an integrated, scalable cyberinfrastructure for mesoscale meteorology
research and education. It is a five year effort that started in the
Fall of 2003.
The UPC is working in collaboration with seven other University partners to set
up a collection of test bed computer systems to support the research
and educational goals of the LEAD project. Each test bed, including
one at the UPC, will integrate existing and new tools (e.g. for data
gathering, serving, mining, assimilation, and forecast modeling) and
enable them to interoperate under the dynamic control of a Grid
environment.
Unidata's Role in LEAD
The primary roles that Unidata will play in the near term in the LEAD effort include:
- Support data delivery to the LEAD test beds via the IDD, LDM, and decoders.
- Provide data discovery and access mechanisms via THREDDS, OPeNDAP, ADDE, and NetCDF.
- Provide visualization and analysis capabilities via the IDV.
- Enhance Unidata tools to work in a Grid and Web Services environment.
- Help design and implement the software architecture of the LEAD Grid test beds.
- Help define the meteorology research and education use case scenarios that drive the
development.
Benefits to Unidata Community
In addition to meeting the goals of the LEAD project, Unidata's
efforts toward these ends will enhance our ability to serve the
community. In fact, we are concentrating our efforts initially on the
aspects of LEAD in which we think our community is most interested.
Some of the community benefits will include:
- Improved procedures for tool installation and configuration.
- Improved documentation of existing Unidata tools.
- Enhanced tool features and capabilities.
- Improved interoperability between and better integration of Unidata tools and systems.
- UPC expertise in the installation and operation of WRF, data assimilation, data mining,
and Grid and Web Service technologies.
- Access to atmospheric discovery capabilities unachievable today.
Recent Accomplishments
- Hired two new software engineers (Doug Lindholm and Tom Baltzer) fully funded by LEAD.
- Acquired and installed the test bed hardware and began experimenting with cluster
architecture.
- Acquired and installed the Access Grid node
in the UPC conference room and Director's office.
- Documented details of the initial seven LEAD data products.
- Installed and configured the LDM and decoders on the UPC test bed to support LEAD's
seven initial data products.
- Documented LDM and decoder installation and configuration procedures and provided
support for other LEAD test beds.
- Contributed to the LEAD data architecture design.
- Contributed to the design of the initial building block (BB0) of the LEAD data sub-system.
- Contributed to the specification of the initial test bed software stack (TB0).
- Provided a Web Start link to a sample, LEAD specific configuration of the IDV.
- Gave a "self-education" presentation on the topic of LDM and decoders to other LEAD
institutions.
- Attended regular meetings of the LEAD sub-groups via the Access Grid.
Ongoing Efforts
- Install and support Unidata tools (LDM, decoders, THREDDS, OPeNDAP, ADDE) on the LEAD test beds.
- Provide a Web Start link to a custom configuration of the IDV via the MyLEAD portal.
- Implement initial software components (TB0) on the UPC LEAD test bed.
- Integrate Unidata's data systems with the University of Oklahoma's
ADAS data assimilation system and the
WRF model.
- Enhance the capabilities of Unidata tools.