Weather simulation system

• US 5,630,718 A
• Filed: 10/06/1995
• Issued: 05/20/1997
• Est. Priority Date: 10/29/1993
• Status: Expired due to Fees

• Current Assignee: Southwest Research Institute
• Original Assignee: Southwest Research Institute
• Inventors: Montag, Bruce C., Weyrauch, Richard P., Wenzel, Dennis J.
• Primary Examiner(s): Hellner, Mark
• Application Number:
  US08/539,852
• Time in Patent Office: 592 Days
• Field of Search: 434/2, 342/26, 342/169
• US Class Current: 434/2
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: G06T 15/005 General purpose rendering architectures
• CPC Class Codes: G06T 15/10 Geometric effects
• CPC Class Codes: G09B 9/301 by computer-processed or -generated image
• 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 weather simulation system that generates and distributes weather data to simulation subsystems for the real time simulation of weather conditions, from three-dimensional real world data. A real world database is accessed to obtain a dataspace of weather data elements, each having a set of various weather-related parameters. For "out-the-window" weather displays, these data elements are preprocessed to obtain color and transparency values for each data element. The preprocessed data elements are further processed to obtain a prioritized display list of those data elements that are in a field of view. Each data element in this list is assigned a graphics primitive, whose alignment is determined by a wind vector of that data element. Pixel values are assigned to the graphics primitives, using color and transparency values of the associated data elements.

Claims

1. A method of using a computer to provide frames of display data representing weather conditions based on real-world weather data for use in rendering a three-dimensional display, comprising the steps of:

accessing a real-world weather database to obtain a three-dimensional set of data elements, each data element having at least a location value and a liquid water content value;

accessing field-of-view data representing a current field-of-view for a current frame;

culling said data elements to determine which are within said field-of-view, to obtain a set of field-of-view data elements;

sorting said field-of-view data elements to form a list of data elements in depth order;

assigning a graphics primitive to each of said field-of-view data elements;

covering an image plane with the graphic primitives associated with the frontmost of said field-of-view data elements, such that a certain percentage of said image plane is covered;

repeating said covering step, using said field-of-view data elements in front to back order, until the image plane has been covered a predetermined number of times or until a predetermined number of said field-of-view data elements have been used; and

assigning said field-of-view data elements to one or more depth bins on the basis of the results of said covering step, so as to generate a prioritized display list for said current frame; and

repeating all of the above steps for each next frame, thereby providing said simulated display.

2. The method of claim 1, wherein said each next frame is generated in real time.

3. The method of claim 1, further comprising the step of calculating an orientation of each said graphics primitive based on said field-of-view data.

4. The method of claim 3, wherein said field-of-view is represented by a field-of-view vector, and wherein said step of calculating an orientation is performed by rotating the plane of each said graphics primitive such that it is substantially normal to said field-of-view vector.

5. The method of claim 1, further comprising the step of calculating a size of each said graphics primitive based on said field-of-view data for said current frame.

6. The method of claim 1, further comprising the step of determining whether a value of said each data element exceeds a threshold, and wherein said culling step and all subsequent steps are performed with respect to those data elements for which said threshold is exceeded.

7. The method of claim 1, further comprising the step of transforming said location values to a coordinate system different from that of said real-world weather database.

8. The method of claim 1, where said field-of-view data is obtained from an external data source.

9. The method of claim 1, further comprising the steps of accessing illumination data representing illumination from a source, and calculating a transparency value for each of said data elements using its liquid water content value and said illumination data.

10. The method of claim 9, wherein said illumination source is the sun and said illumination angle data is sun angle data.

11. The method of claim 9, wherein said step of calculating a transparency value is performed by calculating an intensity value for each data element based on whether its illumination is attenuated by other data elements, and using said intensity value to determine said transparency value.

13. The method of claim 1, wherein each said graphics primitive has one or more pixels.

14. The method of claim 1, wherein each said data element also has a wind vector value and wherein each said graphics primitive has a shape determined by the wind vector value of a data element associated with that graphics primitive.

15. The method of claim 1, wherein each said graphics primitive is an ellipsoid.

16. The method of claim 1, wherein each said graphics primitive is approximated as a rectangle having an assigned texture derived from a data element associated with that graphics primitive.

17. The method of claim 1, further comprising the step of delivering said display list to a simulation system that displays the weather in a viewing field of regard.

18. The method of claim 1, further comprising the step of rasterizing said display list after said prioritizing step.

19. The method of claim 18, wherein said rasterizing step is performed by assigning pixel values to the graphics primitives in the deepest of said depth bins using the transparency values assigned to the data element associated with each graphics primitive, and repeating said assigning step to obtain pixel values for each of said depth bins, in back to front order, such that for each pixel, the transparency value of an underlying pixel is used to derive a pixel value.

30. The method of claim 1, wherein said field-of-view data represents a field-of-view of an observer of said weather conditions.

31. The method of claim 1, wherein said field-of-view data represents a field-of-view of an observer of said weather conditions.

12. The method of 9, further comprising the step of calculating a color value, using said liquid water content value and said illumination data.

20. A weather data generator for providing display data representing weather conditions based on real-world weather data for use in rendering a three-dimensional display, comprising:

a preprocessor for accessing a real-world database to obtain a three-dimensional set of data elements, each data element having at least a location value and a liquid water content value;

a memory for storing said data elements; and

a data handler for (1) accessing field-of-view data representing a current field-of-view for a current frame, (2) culling said data elements to determine which are in said field-of-view, to obtain a set of field-of-view data elements, (3) sorting said field-of-view data elements to form a list of data elements in depth order, (4) assigning a graphics primitive to each of said field-of-view data elements, (5) covering an image plane with the graphics primitives associated with the frontmost of said field-of-view data elements, such that a certain percentage of said image plane is covered;

(6) repeating said covering step, using said field-of-view data elements in front to back order, until the image plane has been covered a predetermined number of times or until a predetermined number of said field-of-view data elements have been used; and

(7) assigning said field-of-view data elements to one or more depth bins on the basis of the results of said covering step, so as to generate a prioritized display list.

21. The data generator of claim 20, wherein said preprocessor uses said liquid content values and illumination angle data to calculate a transparency value for each of said data elements.

22. The data generator of claim 21, further comprising a subsystem interface for receiving said illumination angle data from an external source and delivering said data to said preprocessor.

23. The data generator of claim 21, wherein said processor has a timer for generating said illumination angle data as time-of-day data.

24. The data generator of claim 20, further comprising a subsystem interface for receiving threshold data specifying a threshold of a data element value, and wherein said data handler operates only on those data elements for which said threshold is exceeded.

25. The data generator of claim 20, further comprising a subsystem interface for receiving said field-of-view data from a simulator and for delivering said display data to said simulator.

26. The data generator of claim 21, further comprising an image generator for rasterizing said graphics primitives by (1) assigning pixel values to the graphics primitives in the deepest of said depth bins, using the transparency values assigned to the data element associated with each graphics primitive;

and (2) repeating said assigning step to obtain pixel values for each of said depth bins, in back to front order, such that for each pixel, the transparency value of an underlying pixel is used to derive a pixel value.

27. The data generator of claim 20, wherein said preprocessor further transforms said location values to a different coordinate system.

28. The data generator of claim 20, wherein each said data element also has a wind vector value and wherein said graphics primitives each have a shape determined by the wind vector value of the associated data element.

29. The data generator of claim 20, wherein said simulator operates sufficiently fast so as to provide said display in real time.