Automated system and method for processing meteorological data

• US 6,670,908 B2
• Filed: 07/31/2001
• Issued: 12/30/2003
• Est. Priority Date: 07/31/2001
• Status: Active Grant

• Current Assignee: Baron Services Incorporated
• Original Assignee: Baron Services Incorporated
• Inventors: Dickerson, Michael P., Wilson, Gregory S.
• Primary Examiner(s): Buczinski, Stephen C.
• Application Number:
  US09/919,588
• Publication Number:
  US 20030025627A1
• Time in Patent Office: 882 Days
• Field of Search: 342/26, 342/460, 342/176, 701/14, 702/3, 702/5, 345/327, 345/328, 345/629
• US Class Current: 342/26.00R
• CPC Class Codes: G01S 13/951 ground based
• CPC Class Codes: G08B 21/10 responsive to calamitous events, e.g. tornados or earthquakes
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A computer based method of processing meteorological data to automatically characterize significant meteorological events is disclosed. Meteorological data is received and processed to generate a plurality of distinct threat products for a given geographic area. The threat products are combined over the given geographic area to create a composite threat product, which is automatically compared to predetermined threshold values to identify one or more areas of threat. A system for processing meteorological data to automatically characterize significant meteorological events is also disclosed.

Claims

1. A computer based method of processing weather data to automatically characterize significant weather events, the method comprising the steps of:

receiving weather data for a geographic area, the weather data comprising radar reflectivity data and radial wind velocity data;

processing the radar reflectivity data to derive a radar rain rate threat image for the geographic area;

processing the radar reflectivity data to derive a VIL Density threat image for the geographic area;

combining the radar rain rate threat image, and the VIL Density threat image for the geographic area to create a composite threat image for the geographic area; and

comparing the cc site threat image to predetermined threshold values to identify one or more areas of threat.

2. The method of claim 1 further comprising:

processing the radial wind velocity data to derive a gate-to-gate wind shear threat image for the geographic area; and

combining the radar rain rate threat image, VIL Density threat image, and gate-to-gate wind shear threat gas for the geographic area to create the composite threat image for the geographic area.

3. The method of claim 2 wherein the comparing step comprises the steps of:

locating each region of the composite threat image where VIL density exceeds 1.5 kg/m³ over a contiguous area of greater than 15 sq. km; and

locating each region of the composite threat image where gate-to-gate wind shear exceeds 35 knots a contiguous area greater than 3 sq. km.

4. The method of claim 1 further comprising the step of automatically generating SCITS corresponding to the one or more identified areas of threat.

5. A computer based method of processing meteorological data to automatically characterize significant weather events, the method comprising the steps of:

creating a composite threat field from meteorological data received from a meteorological data source, the composite threat field represents primary meteorological threats affecting a geographic region of interest, the composite threat field displayable as a composite threat image comprising;

a radar rain rate threat information displayable in graphical image format;

a VIL density threat information displayable in graphical image format; and

a gate-to-gate wind shear threat information displayable in graphical image format; and

comparing the composite threat image to predetermined threshold values to identify one or more areas of threat.

6. The computer based method of claim 5 further comprising the step of automatically generating SCITS corresponding to the one or more identified areas of threat.

7. The method of claim 6 further comprising the step of automatically prioritizing the automatically generated SCITS.

8. The method of claim 7 further comprising the step of sequentially displaying the SCITS on a display device based upon priority.

9. A method of processing meteorological data to automatically characterize significant weather events, the method comprising the steps of:

receiving meteorological data indicative of a meteorological event affecting a geographic region;

processing the meteorological data to generate a first threat image affecting the geographic region;

processing the meteorological data to generate a second threat image affecting the geographic region, the first threat image being distinct from the second threat image;

combining the first and second threat images to create a composite threat image affecting the geographic region;

comparing the composite threat image to threshold values to identify one or more areas of threat in the geographic region;

processing the meteorological data to generate a third threat image affecting the geographic region, the third threat image being distinct from the first threat image and the second threat image; and

combining the threat image to the first and second threat images to create the composite threat image affecting the geographic region.

10. The method of claim 9 wherein the comparing step comprises the steps of:

locating each region of the composite threat image where VIL density exceeds 1.5 kg/m³ over a contiguous area of greater than 15 sq. km; and

locating each region of the composite threat image where gate-to-gate shear exceeds 35 knots over a contiguous area of greater than 3 sq. km.

11. Them method of claim 9 wherein the comparing step comprises the steps of:

locating each region of the composite threat image where VIL density exceeds 2.5 kg/m³ over a contiguous area of greater than 5 sq. km; and

locating each region of the composite threat image where gate-to-gate wind shear exceeds 50 knots over a contiguous area of greater than 5 sq. km.

12. The method of claim 9 further comprising the step of automatically generating SCITS corresponding to the one or more identified areas of the threat.

13. The method of claim 12 further comprising the step of automatically prioritizing the generated SCITS.

14. The method of claim 13 further comprising the step of automatically displaying the SCITS sequentially on a display device based upon priority.