Extended Abstract (372K)2.1
The 2008 Artificial Intelligence Competition
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and E. E. Ebert and S. E. Haupt
In this paper, we describe the dataset for automated
storm type classification. The dataset is the result
of a clustering program run on multi-radar reflectivity
images and properties of those clusters computed by a set of severe
weather algorithms. The labels on the dataset,
created by manual identification, identify each cluster
as being one of four categories: supercells, convective
lines, pulse storms or non-organized cells.
We then provide an overview of submitted techniques,
compare and contrast the varying approaches and describe
how the techniques were validated and ranked. The ranking
was carried out using the True Skill Statistic, and
significance of differences was estimated through
permutation tests.
Session 2, Forecasting contest submissions (Participants will present the results of their model forecasts of the posted dataset)
Tuesday, 22 January 2008, 1:30 PM-3:15 PM, 205
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