In flight doppler weather radar wind shear detection system

• US 5,523,759 A
• Filed: 08/16/1993
• Issued: 06/04/1996
• Est. Priority Date: 04/14/1992
• Status: Expired due to Term

• Current Assignee: Honeywell Incorporated (Honeywell International Inc.)
• Original Assignee: Honeywell Incorporated (Honeywell International Inc.)
• Inventors: Pockrandt, Mitchell S., Gillberg, Jeffrey M., Piesinger, Gregory H.
• Primary Examiner(s): Barron, Jr., Gilberto
• Application Number:
  US08/105,670
• Time in Patent Office: 1,023 Days
• Field of Search: 342/26
• US Class Current: 342/26.00B
• CPC Class Codes: G01S 13/953 mounted on aircraft
• 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

An airborne doppler radar wind shear detection system has a volumetric scanning pattern for providing atmospheric measurement data for individual resolution cells that are formed into a 3-D grid of atmospheric data samples. Volumetric feature extraction modules identify and group resolution cells having particular features into air masses of interest. A spatial feature association and filtering module combines the air masses of interest into a 3-D representation of atmospheric conditions and filters out ground clutter. A contextual matching and temporal tracking module compares the 3-D representation to known wind shear models and compares successive 3-D representations to one another to aid in identifying hazardous wind shear conditions in the aircraft flight path.

Claims

1. A wind shear detection system comprising:

antenna means for mounting on an aircraft;

antenna driver means, connected to said antenna means, for driving said antenna means to scan in elevation and azimuth along the aircraft flight path;

transceiver means, connected to said antenna means, for generating a transmitted signal and for receiving reflected data;

base data processor means, connected to said transceiver means, for processing the reflected data and providing atmospheric measurement data for individual resolution cells that can be formed into a 3-D grid of atmospheric data samples;

base data filter means, connected to said base data processor means, for removing receiver noise from said atmospheric measurement data and providing filtered atmospheric measurement data;

volumetric feature extraction means connected to said base data filter means, for identifying a plurality of features within the 3-D grid of the filtered atmospheric measurement data and grouping said atmospheric data samples having a first feature into first air masses of interest and grouping said atmospheric data samples having a second feature into second air masses of interest;

spatial feature association and filtering means, connected to said volumetric feature extraction means, for combining said first air masses of interest with said second air masses of interest to provide a 3-D representation of atmospheric conditions; and

contextual matching means for comparing said 3-D representation of atmospheric conditions to a known wind shear atmospheric conditions model and providing an output signal when a wind shear threshold condition is exceeded.

2. A windshear detection system comprising:

an airborne scanning doppler radar transceiver having a three dimensional volumetric scanning pattern providing measurements that can be formed into a three dimensional grid of atmospheric data samples with each data sample having a mean radial velocity and being characterized by a rage, azimuth and elevation;

means for identifying first radial line segments further for identifying second radial line segments wherein consecutive data samples within said first radial line segments have mean velocity differentials in a first direction;

means for comparing each said first radial line segment to any said first radial line segment located in a similar position on a radial above each said first radial line segment to form first 2-D air masses having mean velocity differentials in a first direction;

means for comparing each said first 2-D air mass further for comparing each said second 2-D air mass to any said first 2-D air masses located adjacent to each said first 2-D air mass to form first 3-D air masses having mean velocity differentials in a first direction and representing potential diverging wind conditions;

means for identifying second radial line segments wherein consecutive data samples within said second radial line segments have mean velocity differentials in a second direction;

means for comparing each said second radial line segment to any said second radial line segment located in a similar position on a radial above each said second radial line segment to form second 2-D air masses having mean velocity differentials in a second direction; and

means for comparing each said second 2-D air mass to any said second 2-D air masses located adjacent to each said second 2-D air mass to form second 3-D air masses having mean velocity differentials in a second direction and representing potential converging wind conditions.

3. Windshear detection system of claim 2 further comprising:

3-D spatial feature association and filtering means for spatially associating said first 3-D air masses and said second 3-D air masses to provide a single full volumetric scan spatial representation for filtering noise and clutter from said single full volumetric scan spatial representation to reveal diverging wind condition locations and converging wind condition locations.

4. Windshear detection system of claim 3 wherein said 3-D spatial feature association and filtering means further comprises means for establishing knowledge of potential ground clutter regions within said three dimensional grid and removing 3-D air masses located within said potential ground clutter regions which are not corroborated by atmospheric data sample measurements at higher elevations that are known not to include ground clutter.

5. Windshear detection system of claim 3 wherein said airborne scanning doppler radar has an antenna mounted to an airframe and said means for establishing knowledge of potential ground clutter regions comprises means for relating parameters from said volumetric scan pattern to information on the attitude of said airframe, position of said antenna relative to said airframe and beam width of said antenna.

6. Windshear detection system of claim 5 further comprising:

means for storing first data models of known relationships of diverging wind condition locations and converging wind condition locations in a microburst; and

contextual matching and temporal tracking means for comparing said single volumetric scan spatial representation to said first stored data models to determine contextual matching.

7. Windshear detection system of claim 6 further comprising means for providing an alerting signal when said diverging wind condition locations and said converging wind condition locations exceed a predetermined contextual matching threshold when compared to said stored data models.

8. Windshear detection system of claim 6 wherein said first stored data models include a time history evolution of spatial relationships between diverging wind condition locations and converging wind condition locations which are known to exist for microburst and windshear conditions and said contextual matching and temporal tracking means further comprises:

means for tracking said diverging wind condition locations and said converging wind condition locations over multiple volumetric scans occurring over a first period of time; and

means for comparing said volumetric scans to said stored first data models which include a time history evolution to permit prediction of where a windshear condition may occur within a second period of time.

9. Windshear detection system of claim 5 further comprising:

means for identifying third radial line segments wherein consecutive data samples within said third radial line segments have similar reflectivities;

means for comparing each said third radial line segment to any said third radial line segment located in a similar position on a radial above each said third radial line segment to form third 2-D air masses having similar reflectivities; and

means for comparing each said third 2-D air mass to any said third 2-D air masses located adjacent to each said fourth 2-D air mass to form third 3-D air masses having similar reflectivities.

10. Windshear detection system of claim 9 further comprising:

means for identifying fourth radial line segments wherein consecutive data samples within said fourth radial line segments have similar spectral widths;

means for comparing each said fourth radial line segment to any said fourth radial line segment located in a similar position on a radial above each said fourth radial line segment to form fourth 2-D air masses having similar spectral widths; and

means for comparing each said fourth 2-D air mass to any said fourth 2-D air masses located adjacent to each said fourth 2-D air mass to form fourth 3-D air masses having similar spectral widths.

11. Windshear detection system of claim 10 wherein said 3-D spatial feature association and filtering means further comprises:

means for merging reflectivity values for said third 3-D air masses and spectral width values for said fourth 3-D air masses with said diverging wind condition locations and said converging wind condition locations;

said storage means further comprises means for storing third data models of known relationships of diverging wind condition locations, converging wind condition locations, reflectivity values and spectral width values in a microburst; and

said contextual matching and temporal tracking means further comprises means for comparing said single volumetric scan spatial representation to said stored third data models to determine contextual matching.

12. Windshear detection system of claim 11 wherein said stored data models include a time history evolution of spatial relationships between diverging wind condition locations, converging wind condition locations, reflectivity values and spectral width values which are known to exist in microburst and said contextual matching and temporal tracking means further comprises:

means for tracking said locations of said 3-D air masses having similar reflectivities and said 3-D air masses having similar spectral widths over multiple volumetric scans occurring over a third period of time; and

means for comparing said volumetric scans to said stored second data models which include a time history evolution to permit prediction of where a windshear condition may occur within a fourth period of time.

13. Windshear detection system of claim 2 further comprising:

means for identifying cross azimuth arc segments having similar velocity differentials between consecutive range bins on said cross azimuth arc segments;

means for comparing each said cross azimuth arc segment to any said cross azimuth arc segment at a similar azimuth angle and a similar elevation to form fifth 2-D air masses having similar rates of changing velocity in a cross azimuth direction;

means for comparing each said third 2-D air mass to any said third 2-D air mass located on an elevation plane above each said third 2-D air mass to form fifth 3-D air masses having similar rates of changing velocity in a cross azimuth direction; and

said 3-D spatial feature association and filtering means further comprises means for removing noise and clutter influences form said fifth 3-D air masses to reveal the location of rotating wind conditions.

14. Windshear detection system of claim 13 wherein said 3-D spatial feature association and filtering means further comprises:

means for spatially associating said first 3-D air masses said second 3-D air masses and said fifth 3-D air masses to provide a single full volumetric scan spatial representation; and

means for filtering noise and clutter form said single full volumetric scan spatial representation to reveal diverging wind condition locations, converging wind condition, locations, and rotating wind condition locations.

15. Windshear detection system of claim 14 wherein said 3-D spatial feature association and filtering means further comprises means for establishing knowledge of potential ground clutter regions within said three dimensional grid and removing 3-D air masses located within said potential ground clutter regions which are not corroborated by atmospheric data sample measurements at higher elevations that are known no to include ground clutter.

16. Windshear detection system of claim 15 wherein said means for establishing knowledge of potential ground clutter regions further comprises means for relating parameters from said volumetric scan pattern to information on the attitude of said airframe, position of said antenna relative to said airframe and beam width of said antenna.

17. Windshear detection system of claim 16 wherein said first data models include known relationships of rotating wind conditions.

18. Windshear detection system of claim 17 wherein said time history evolution of spatial relationships includes rotating wind conditions and said means for tracking includes means for tracking rotating wind condition locations.

19. Windshear detection system of claim 18 further comprising:

means for identifying third radial line segments wherein consecutive data samples within said third radial line segments have similar reflectivities;

means for comparing each said third radial line segment to any said third radial line segment located in a similar position on a radial above each said third radial line segment to form third 2-D air masses having similar reflectivities; and

means for comparing each said third 2-D air mass to any said third 2-D air masses located adjacent to each said third 2-D air mass to form fourth 3-D air masses having similar reflectivities.

20. Windshear detection system of claim 19 further comprising:

means for identifying fourth radial line segments wherein consecutive data samples within said fourth radial line segments have similar spectral widths;

means for comparing each said fourth radial line segment to any said fourth radial line segment located in a similar position on a radial above each said fourth radial line segment to form fourth 2-D air masses having similar spectral widths; and

means for comparing each said fourth 2-D air mass to any said fourth 2-D air masses located adjacent to each said fourth 2-D air mass to form fourth 3-D air masses having similar spectral widths.

21. Windshear detection system of claim 20 further comprising:

means for merging reflectivity values for said third 3-D air masses and spectral width values for said fourth 3-D air masses with said diverging wind condition locations, converging wind condition locations; and

said rotating wind condition locations;

means for storing fourth data models of known relationships of diverging wind condition locations, converging wind condition locations, rotating wind condition locations, reflectivity values and spectral width values in a microburst; and

means for comparing said single volumetric scan spatial representation to said stored fourth data models to determine contextual matching.