Microburst Detection Using Agent Networks

• DOI: 10.1175/1520-0426(2002)019<0646:mduan>2.0.co;2
• Publication Date: 2002-07-27T12:34:27Z
• Authors: Sandy Dance; Rodney Potts
• Keywords: Microburst

Automatic detection of microbursts with Doppler radar data is an interesting challenge. Traditionally, manual performed by trained meteorologists who scan through the volumetric for appropriate signatures, bringing to bear human powers pattern and analysis. More recently, automatic systems have been devised perform this using computer techniques together fuzzy logic. Here a system that attempts emulate technology agent networks (i.e., cooperating asynchronous software entities) presented. In approach, agents detect reflectivity cores high divergent shear zones. Their output integrated higher-level track time. The implemented in Java language successfully detecting from radars near Sydney Darwin Australia.