Intelligent Tornado Prediction Engine
Name
2022-09-09-Bulletin-Intelligent Tornado Prediction Engine.pdf
Size
1.74 MB
Format
Adobe PDF
Checksum (MD5)
e784df466ee4a439c408c0c9c9dc653f
Date Issued
November 9, 2022
Series/Report no.
The Bulletin;
Abstract
The most common type of tornado in the Southeast region of the United States, known as a quasi-linear convective system tornado, is historically difficult to warn for, with lead times hovering under 7 minutes and a false alarm rate of over 75 percent.
The Intelligent Tornado Prediction Engine (ITORPE) combines meteorological and machine learning expertise from MIT Lincoln Laboratory researches and the Lincoln Laboratory Supercomputing Center to perform extremely large-scale data fusion spanning several years’ worth of radar, satellite, model, and in situ observation platforms, to provide enhanced situational awareness to forecasters using a graphical interface to focus forecasters’ attention on the storms of highest importance.
Subjects
LLSC
MIT Lincoln Laboratory
Deep Learning
Terms of Use
Attribution-NoDerivs 3.0 United States
Persistent DSpace Link
