WEATHER INFORMATION SYSTEM

• US 20140067270A1
• Filed: 07/26/2013
• Published: 03/06/2014
• Est. Priority Date: 09/06/2012
• Status: Active Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Global Weather Corporation
• Inventors: Gail, William B., Myers, William Loring, Post, Ted W.
• Application Number:
  US13/951,608
• Publication Number:
  US 20140067270A1
• Time in Patent Office: Days
• US Class Current: 702/3
• CPC Class Codes: G01W 1/00 Meteorology

Abstract

A method for providing weather information to a user is provided. The method includes steps of receiving a gridded forecast and receiving a user request for weather information for a location of interest within the gridded forecast. The method further includes steps of determining if updated sensor data is available for local grid points located proximate the location of interest. If updated sensor data is available, the method updates latest observation-based conditions at the local grid points. The method further includes a step of updating the weather information based on the updated sensor data and the gridded forecast.

Claims

1. A method for providing weather information to a user, comprising steps of:

receiving a gridded forecast;

receiving a user request for weather information for a location of interest within the gridded forecast;

determining if updated sensor data is available for local grid points located proximate the location of interest;

if updated sensor data is available, updating latest observation-based conditions at the local grid points; and

updating the weather information based on the updated sensor data and the gridded forecast.

2. The method of claim 1, further comprising a step of generating location specific weather information using spatial interpolation of the local grid points.

3. The method of claim 2, further comprising a step of including topographical data when performing the spatial interpolation.

4. The method of claim 2, further comprising a step of including climate data when performing the spatial interpolation.

5. The method of claim 1, further comprising a step of refining the weather information based on temporal interpolation for a time of interest.

6. The method of claim 1, wherein the user'"'"'s request is generated by a mobile device.

7. The method of claim 6, wherein the user request is automatically generated by the user'"'"'s mobile device.

8. The method of claim 6, wherein the location of interest is based on a geospatial location of the user'"'"'s mobile device.

9. The method of claim 1, wherein the location of interest is selected by the user.

10. The method of claim 1, wherein the step of receiving the gridded forecast occurs on a preset time interval.

11. A forecasting system (100) including a processing system (108) configured to:

receive a gridded forecast;

receive a user request for weather information for a location of interest within the gridded forecast;

determine if updated sensor data is available for local grid points located proximate the location of interest;

if updated sensor data is available, update latest observation-based conditions at the local grid points; and

update the weather information based on the updated sensor data and the gridded forecast.

12. The forecasting system (100) of claim 11, wherein the processing system (108) is further configured to generate location specific weather information using spatial interpolation of the local grid points.

13. The forecasting system (100) of claim 12, wherein the processing system (108) is further configured to include topographical data when performing the spatial interpolation.

14. The forecasting system (100) of claim 12, wherein the processing system (108) is further configured to include climate data when performing the spatial interpolation.

15. The forecasting system (100) of claim 11, wherein the processing system (108) is further configured to refine the weather information based on temporal interpolation for a time of interest.

16. The forecasting system (100) of claim 11, wherein the user'"'"'s request is generated by a mobile device.

17. The forecasting system (100) of claim 16, wherein the user request is automatically generated by the user'"'"'s mobile device.

18. The forecasting system (100) of claim 16, wherein the location of interest is based on a geo spatial location of the user'"'"'s mobile device.

19. The forecasting system (100) of claim 11, wherein the location of interest is selected by the user.

20. The forecasting system (100) of claim 11, wherein receiving the gridded forecast occurs on a preset time interval.