Quantitative precipitation prediction method

• US 6,581,009 B1
• Filed: 01/02/2002
• Issued: 06/17/2003
• Est. Priority Date: 01/02/2002
• Status: Expired due to Term

• Current Assignee: User-Centric IP, L.P. (Locator IP LP)
• Original Assignee: User-Centric Enterprises, Inc.
• Inventors: Smith, Michael R.
• Primary Examiner(s): McElheny, Jr., Donald E.
• Application Number:
  US10/032,452
• Time in Patent Office: 531 Days
• Field of Search: 702/3, 702/4, 342/26, 706/931
• US Class Current: 702/3
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: G01W 1/14 Rainfall or precipitation gauges measuring volume in general G01F

Abstract

A user-selectable cursor can be positioned over a portion of a cloud formation displayed on a computer display, where the portion corresponds to precipitation that is expected to move over a target point or area. Predicted precipitation amounts corresponding to the portion are calculated and displayed, allowing the user to see how much precipitation is expected to occur over the target point or area. In one variation, radar reflectivity data indicating relative storm intensities is displayed on the computer screen, and the cursor is used to select a region of interest including one or more cells that are expected to move over a target area. Reflectivity values for each cell that is expected to move over the target area are converted into predicted precipitation rates, and are multiplied by the time that each cell is expected to remain over the target area. Predicted precipitation amounts attributable to each cell that is expected to move across the target area are accumulated and output as a predicted precipitation amount for the target area. If the target area is a watershed comprising multiple cells, then predicted precipitation amounts for each cell in the watershed are averaged to produce a predicted precipitation amount for the watershed. The cursor can be drawn over different regions of interest to allow a user to quickly identify outcomes under different scenarios.

Claims

1. A computer-implemented method of predicting future precipitation for a target area, comprising the steps of:

(1) storing cloud parameter values indicative of potential future precipitation for each of a plurality of cells;

(2) selecting a group of the plurality of cells corresponding to precipitation that is expected to move over the target area;

(3) for each of the plurality of cells determined in step (2) to correspond to precipitation that is expected to move over the target area, converting a corresponding cloud parameter value into a predicted precipitation rate;

(4) for each of the plurality of cells determined to correspond to precipitation that is expected to move over the target area, converting the predicted precipitation rate determined in step (3) into a predicted precipitation amount; and

(5) accumulating predicted precipitation amounts for each of the plurality of cells in step (4) into a total predicted precipitation amount for the target area.

2. The computer-implemented method of claim 1, wherein step (1) comprises the step of storing radar reflectivity values, and wherein step (3) comprises the step of converting a corresponding radar reflectivity value into the predicted precipitation rate.

3. The computer-implemented method of claim 2, wherein step (3) comprises the step of using the Marshall-Palmer relation to convert the corresponding radar reflectivity value into the predicted precipitation rate.

4. The method of claim 3, wherein step (3) is performed by converting each respective reflectivity value Z to a predicted precipitation rate R according to the relation Z=300R^1.4.

5. The computer-implemented method of claim 1, wherein step (1) comprises the step of storing satellite-based sensor information, and wherein step (3) comprises the step of converting corresponding satellite-based sensor data values into the predicted precipitation rate.

6. The computer-implemented method of claim 5, wherein step (1) comprises the step of storing infrared sensor data representing cloud temperatures, and wherein step (3) comprises the step of converting corresponding infrared sensor data representing cloud temperatures into the predicted precipitation rate.

7. The computer-implemented method of claim 6, wherein step (3) comprises the step of using the Schofield-Oliver technique to convert the corresponding infrared sensor data representing cloud temperatures into the predicted precipitation rate.

8. The computer-implemented method of claim 1, further comprising the step of displaying on a computer display the total predicted precipitation amount for the target area.

9. The computer-implemented method of claim 1, further comprising the step of electronically transmitting the total predicted precipitation amount for the target area to a governmental or corporate entity.

10. The computer-implemented method of claim 1, further comprising the step of determining whether the total predicted precipitation amount for the target area exceeds a threshold and, in response to such determination, generating a flash-flood warning for the target area.

11. The computer-implemented method of claim 1, wherein the target area comprises a point.

12. The computer-implemented method of claim 1, wherein the target area comprises a watershed.

13. The computer-implemented method of claim 12, further comprising the step of averaging the total predicted precipitation amount over an area defined by the watershed.

14. The computer-implemented method of claim 1, wherein the target area comprises an arbitrarily-shaped region, and further comprising the step of averaging the total predicted precipitation amount for the target area over the arbitrarily-shaped region.

15. The computer-implemented method of claim 1, wherein step (4) is performed by multiplying the predicted precipitation rate for each respective cell by the amount of time that the precipitation corresponding to each respective cell is expected to spend over the target area.

16. The computer-implemented method of claim 15, wherein step (4) is performed by dividing a distance corresponding to cells having predicted precipitation that is expected to pass over the target area by the speed at which the precipitation is moving.

17. The method of claim 1, wherein step (2) is performed by using a user-drawn cursor to select the plurality of cells on a computer display.

18. The method of claim 17, wherein the cursor encompasses a region of interest on the computer display indicated by a visible border.

19. The method of claim 18, wherein the cursor comprises a curved shape that generally follows a curved direction at which precipitation is moving.

20. The method of claim 1, wherein step (2) is performed by indicating individual cells on a computer display.

21. The method of claim 1, wherein step (2) is performed by using an automated storm and precipitation movement prediction algorithm that identifies cells having precipitation that is likely to move over the target area.

22. The method of claim 1, further comprising the steps of:

(a) prior to step (3), obtaining rain gauge measurements for each of a plurality of cells;

(b) prior to step (3), obtaining actual radar reflectivity measurements corresponding to the rain gauge measurements in step (a);

(c) estimating the relationship between the rain gauge measurements obtained in step (a) and the actual radar reflectivity measurements obtained in step (b); and

(d) using the estimated relationship obtained in step (c) to perform the conversion in step (3).

23. The method of claim 1, further comprising the step of adding the total predicted precipitation amount obtained in step (5) to an actual measured precipitation amount over the target area and generating a value that represents a combined actual and predicted precipitation amount over the target area.

24. The method of claim 1, further comprising the step of repeating steps (2) through (5) a plurality of times to generate a plurality of different total predicted precipitation amounts, and displaying the plurality of different total predicted precipitation amounts on a computer display as different scenarios corresponding to different possible paths of a storm.

25. The method of claim 1, wherein step (2) comprises the step of drawing a cursor on a computer display and indicating in conjunction with the drawn cursor a time period over which a length of the cursor corresponds.

26. The method of claim 1, wherein step (2) comprises the step of drawing a cursor on a computer display and indicating in conjunction with the drawn cursor a distance over which a length of the cursor corresponds.

27. A computer-readable medium comprising computer-executable instructions that, when executed by a computer, perform the steps recited in claim 1.

37. The method of claim 21, wherein the automated storm and precipitation movement prediction algorithm comprises a growth and decay algorithm.

28. A computer-implemented method of predicting precipitation over a target area, comprising the steps of:

(1) storing in a computer information indicating future potential precipitation for a cloud formation;

(2) selecting a portion of the cloud formation that is expected to move over the target area;

(3) converting potential precipitation corresponding to the portion selected in step (2) into a predicted precipitation rate;

(4) converting the predicted precipitation rate determined in step (3) into a predicted precipitation amount; and

(5) displaying the predicted precipitation amount on a computer display.

29. The computer-implemented method according to claim 28, wherein step (1) comprises the step of storing radar reflectivity values, and wherein step (3) comprises the step of converting a corresponding radar reflectivity value into the predicted precipitation rate using the Marshall-Palmer relation.

30. The computer-implemented method of claim 29, wherein step (4) is performed by multiplying the predicted precipitation rate for the portion of the cloud formation by the amount of time that the portion of the cloud formation is expected to spend over the target area.

31. The computer-implemented method of claim 30, wherein step (2) comprises the step of providing a user-drawn cursor to select the portion of the cloud formation, wherein the cursor encompasses a region of interest on the computer display corresponding to the portion of the cloud formation.

32. A computer programmed with computer-executable instructions that, when executed by the computer, perform the steps of:

(1) storing information indicating future potential precipitation for a cloud formation;

(2) generating a user-selectable cursor that allows a user to select a portion of the cloud formation that is expected to move over a target area;

(3) converting potential precipitation corresponding to the portion selected in step (2) into a predicted precipitation rate;

(4) converting the predicted precipitation rate determined in step (3) into a predicted precipitation amount; and

(5) displaying the predicted precipitation amount on a computer display.

33. The computer according to claim 32, wherein the computer-executable instructions store radar reflectivity values indicating future potential precipitation for the cloud formation, and wherein the computer-executable instructions in step (3) convert a corresponding radar reflectivity value into the predicted precipitation rate using the Marshall-Palmer relation.

34. The computer according to claim 33, wherein the computer-executable instructions in step (4) multiply the predicted precipitation rate by the amount of time that the selected portion is expected to spend over the target area.

35. The computer according to claim 34, wherein the computer-executable instructions in step (2) generate a user-selectable cursor having a curved shape.

36. A computer-implemented method of predicting future precipitation for a target area, comprising the steps of:

(1) storing radar reflectivity values indicative of potential future precipitation for each of a plurality of cells over which a cloud formation is moving;

(2) displaying on a computer display the radar reflectivity values stored in step (1);

(3) with a user-drawn cursor, selecting a region of interest on the computer display corresponding to cells having precipitation that is expected to move over the target area;

(4) for each of the plurality of cells determined in step (3) to correspond to precipitation that is expected to move over the target area, converting a corresponding radar reflectivity value into a predicted precipitation rate using the Marshall-Palmer relation;

(5) for each of the plurality of cells determined to correspond to precipitation that is expected to move over the target area, converting the predicted precipitation rate determined in step (4) into a predicted precipitation amount by multiplying the predicted precipitation rate by the amount of time that precipitation for each respective cell is expected to remain over the target area;

(6) accumulating predicted precipitation amounts for each of the plurality of cells in step (5) into a total predicted precipitation amount;

(7) averaging the total predicted precipitation amount over the target area; and

(8) displaying the total predicted precipitation amount on the computer display.