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5.20
PROJECT CRAFT: A TEST BED FOR DEMONSTRATING THE REAL TIME
ACQUISITION AND ARCHIVAL OF WSR-88D LEVEL II DATA
Kelvin K. Droegemeier CAPS/Univ. of Oklahoma, Oklahoma, OK 73019., Jason J.
Levit, Carl Sinclair, Kevin
Kelleher, Mark Benner, Tim D. Crum, Stephen A. DelGreco, Linda Miller, David
W. Fulker, and Harry Edmon.
To begin addressing the long-term need of archiving WSR-88D base (Level II)
data, and in light of the
compelling need for real time access to base data for use in a variety of applications,
especially numerical
weather prediction and hazardous weather decision support systems, the Center
for Analysis and Prediction of
Storms (CAPS) at the University of Oklahoma joined forces in 1998 with the UCAR
Unidata Program, the
University of Washington, the National Severe Storms Laboratory (NSSL), and
the WSR-88D Operational
Support Facility (now the Radar Operations Center, or ROC) to establish the
Collaborative Radar Acquisition
Field Test (CRAFT). CRAFT is an experimental test bed designed to evaluate the
real time compression and
Internet-based transmission of WSR-88D base (Level II) data from multiple radars.
An initial test bed of six radars, located in and around Oklahoma, began delivering
real time base data in early
1999 with virtually no interruptions, and now has been expanded to 16 radars
to serve as the prototype for a
national system. About a year ago, the National Climatic Data Center began ingesting
compressed base data,
via CRAFT, and now is acquiring data from 15 of the 16 CRAFT radars, via the
Abilene backbone, and
archiving them directly onto the hierarchical data storage system. More recently,
other groups, including the
NWS Telecommunications Gateway, have experimented with the CRAFT ingest system.
We describe in this paper recent progress and future plans of Project CRAFT,
with emphasis on proposed data
delivery architectures and testing strategies for research and education, operations,
and commercial application.
We further discuss the transition to Open-RPG, metrics of system reliability
and security, results from
preliminary data mining studies, and opportunities for the future.
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