System and method for predicting tornado activity

• US 8,452,537 B2
• Filed: 03/28/2011
• Issued: 05/28/2013
• Est. Priority Date: 01/10/2008
• Status: Active Grant

• Current Assignee: Baron Services Incorporated
• Original Assignee: Baron Services Incorporated
• Inventors: Havin, Matthew Alan, Baron, Robert O. Sr., Dreisewerd, Robert J. Jr.
• Primary Examiner(s): Ramos Feliciano, Eliseo
• Assistant Examiner(s): Perez Bermudez, Yaritza H
• Application Number:
  US13/073,956
• Publication Number:
  US 20120078836A1
• Time in Patent Office: 792 Days
• Field of Search: 702 1- 3
• US Class Current: 702/3
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09

Abstract

A system that predicts current tornado activity has been developed. The system includes a processor that receives model data from a meteorological data source that indicates tornadic activity and generates a model data tornado potential index. The processor also receives radar data indicative of tornadic activity and generates a radar data tornado potential index using weighted values assigned to different components of the radar data, where the components of the radar data comprise, a tornado vortex signature (TVS) data value, a mesocyclonic activity (MESO) data value, a precipitation and intensity (dBz) data value, a vertically integrated liquid (VIL) data value, and hail size data value. The processor further generates a composite tornado potential index using weighted values of the model data tornado potential index and the radar data tornado potential index and stores the index in an electronic, data storage media.

Claims

1. A system that predicts current tornado activity comprising:

a. a processor that receives model data from a meteorological data source that indicates tornadic activity and generates a model data tornado potential index, where the model data comprises a plurality of tornado indicator data, and where the model data tornado potential index is generated by combining weighted values for selected tornado indicator data;

b. where the processor receives radar data indicative of tornadic activity and generates a radar data tornado potential index using weighted values assigned to different components of the radar data, where the components of said radar data comprise, a tornado vortex signature (TVS) data value, a mesocyclonic activity (MESO) data value, a precipitation and intensity (dBz) data value, a vertically integrated liquid (VIL) data value, and hail size data value;

c. where the processor generates a composite tornado potential index using weighted values of the model data tornado potential index and the radar data tornado potential index; and

d. an electronic data storage media that stores the composite tornado potential index.

3. The computer system of claim 1, where the processor displays the composite tornado potential index on a map.

4. The system of claim 1 where at least one tornado indicator data is generated by the processor from tornado indicator data directly received from the meteorological data source.

2. The computer system of claim l where the selected tornado indicator data comprises, convective available potential energy (CAPE), Convective Inhibition (CIN) helicity data, wind difference data and Lifting Condensation Level (LCL) data.

5. A system that predicts current tornado activity comprising:

a. a processor that receives meteorological model data from a meteorological data source;

b. means for generating a model data tornado potential index by the processor, based on meteorological model data that indicates tornadic activity, where the meteorological model data comprises a plurality of tornado indicator data, and the model data tornado potential index is generated by combining weighted values for selected tornado indicator data;

c. means for generating a radar data tornado potential index by the processor, based on radar data indicative of tornadic activity, where the components of said radar data comprise, a tornado vortex signature (TVS) data value, a mesocyclonic activity (MESO) data value, a precipitation and intensity (dBz) data value, a vertically integrated liquid (VIL) data value, and hail size data value, and where the radar data tornado potential index is generated by combining weighted values of selected radar data;

d. means for generating a composite tornado potential index by the processor, based on the model data tornado potential index and the radar data tornado potential index; and

e. means for overlaying the composite tornado potential index on a map by the processor.

6. The system of claim 5 where the selected tornado indicator data comprises at least two of;

(i) convective available potential energy (CAPE);

(ii) Convective Inhibition (CIN);

(iii) helicity data;

(iv) wind difference data; and

(v) Lifting Condensation Level (LCL) data.