Sixth Conference on Artificial Intelligence Applications to Environmental Science

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.

extended abstract  Extended Abstract (372K)

wrf recording  Recorded presentation

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

Next paper

Browse or search entire meeting

AMS Home Page