Four dimensional weather data storage and access

• US 9,753,947 B2
• Filed: 12/09/2014
• Issued: 09/05/2017
• Est. Priority Date: 12/10/2013
• Status: Active Grant

• Current Assignee: DTN, LLC (TBG AG)
• Original Assignee: Weather Decision Technologies
• Inventors: Goering, Christian, Orr, Matt, Robb, Lee, Johnson, James T.
• Primary Examiner(s): Spieler, William
• Application Number:
  US14/564,900
• Publication Number:
  US 20150161150A1
• Time in Patent Office: 1,001 Days
• CPC Class Codes: G01W 1/00 Meteorology
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: H04L 63/0876 based on the identity of the terminal or configuration, e.g. MAC address, hardware or software configuration or device fingerprint
• 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

Storage of weather data in four dimensions in a mass storage data cube for ready access. Weather data to be stored is ingested and processed with respect to location and time to generate one or more tiles each characterized by a geographic location index and a time index. The tiles are stored in a mass storage data cube in accordance with the geographic location index and the time index of each tile. The tiles containing the stored weather data can be readily accessed and retrieved from the mass storage data cube.

Claims

1. A method of processing mass stored weather data, comprising:

accessing from a mass storage data cube one or more tiles of requested weather data identified by the one or more time indices and the one or more geographic location indices;

providing the one or more accessed tiles to a modeling processor; and

the modeling processor processing data of the one or more accessed tiles to generate new data of a new prediction model.

2. The method of claim 1, further comprising performing accessing one or more tiles of the requested weather data identified by the one or more time indices and the one or more geographic location indices responsive to a request at an application programming interface (API) that specifies the one or more time indices and the one or more geographic location indices of requested weather data.

3. The method of claim 1, further comprising:

processing the new data of the new prediction model to index the new data with respect to location and time to generate one or more new tiles each characterized by a geographic location index and a time index; and

storing the one or more new tiles in the mass storage data cube in accordance with the geographic location index and the time index of each new tile.

4. A method of processing weather data stored in four dimensions, comprising:

accessing from a mass storage data cube one or more tiles of requested weather data identified by one or more time indices and one or more geographic location indices;

providing the one or more accessed tiles to a processor;

processing, by the processor, data of the one or more accessed tiles to perform one or more of analyzing weather data retrieved from the mass storage data cube, performing a calculation using weather data retrieved from the mass storage data cube, and generating a new prediction model.

5. The method of claim 4, further comprising:

ingesting weather data to be stored;

processing the ingested weather data to index the weather data with respect to location and time to generate the one or more tiles each characterized by a geographic location index and a time index; and

storing the one or more tiles in the mass storage data cube in accordance with the geographic location index and the time index of each tile, wherein stored weather data in the mass storage data cube has a common geographic location index format and stored weather data can be accessed by the tiles stored in the mass storage data cube.

6. The method of claim 5, wherein processing the ingested weather data further comprises decoding the ingested weather data.

7. The method of claim 4, wherein each tile is characterized by a geographic location index of the processed weather data is a quad key tile based location index and processing the ingested weather data comprises associating the latitude and longitude of the ingested weather data with a nearest quad key in a quad key tile based system.

8. The method of claim 4, wherein the weather data is observation data valid at the time of observation of the data.

9. The method of claim 8, wherein the weather data is one or more of weather satellite observation data, radar data and lightning data.

10. The method of claim 9, wherein the weather data is collected by radiosondes and valid at the times of collection during predefined intervals during an assent of the radiosondes.

11. The method of claim 4, wherein the weather data is forecast data valid at a future time when the data is created.

12. The method of claim 11, wherein the forecast data is a numerical model that simulates one or more atmospheric weather conditions from an initial time at an initial geographic location to one or more time intervals at corresponding geographic locations.

13. The method of claim 4, further comprising:

responsive to a request at an application programming interface (API) that specifies the one or more time indices and the one or more geographic location indices of requested weather data, accessing one or more tiles of the requested weather data identified by the one or more time indices and the one or more geographic location indices and providing the one or more accessed tiles to one or more of an image tile service and a data tile service; and

one or more of the image tile service and the data tile service making available the requested weather data to a requester of the requested weather data.

14. The method of claim 13, further comprising accessing one or more tiles from the mass storage data cube in accordance with the one or more time indices and the one or more geographic location indices specified in the request, the one or more accessed tiles containing the requested weather data;

providing the one or more accessed tiles to one or more of the image tile service and the data tile service;

one or more of the image tile service and the data tile service caching the one or more accessed tiles in a cache of a content delivery network (CDN); and

the requester of the requested weather data accessing the one or more cached tiles containing the requested weather data from the content delivery network.

15. The method of claim 14, further comprising:

responsive to a subsequent request for the requested weather data, determining whether one or more tiles containing the subsequently requested weather data are stored in the cache of the CDN;

accessing the one or more tiles containing the subsequently requested weather data from the cache of the CDN if the one or more tiles containing the subsequently requested weather data is determined to be stored in the cache of the CDN; and

otherwise, accessing one or more tiles containing the subsequently requested weather data from the mass storage data cube in accordance with the one or more time indices and the one or more geographic location indices specified in the subsequent request.

16. The method of claim 15, further comprising one or more of the image tile service and the data tile service caching the one or more tiles containing the subsequently requested weather data in the cache of a content delivery network (CDN).

17. The method of claim 13, further comprising:

determining whether the requested weather data is stored in a cache of a content delivery network (CDN) coupled to the mass storage data cube;

accessing one or more tiles containing the requested weather data from the cache of the CDN in accordance with the one or more time indices and the one or more geographic location indices specified in the request if it is determined that the requested weather data is stored in the cache of the CDN;

otherwise, accessing one or more tiles containing the requested weather data from the mass storage data cube in accordance with the one or more time indices and the one or more geographic location indices specified in the request; and

providing the accessed one or more tiles containing the requested weather data to one or more of the image tile service and the data tile service.

18. The method of claim 17, further comprising:

authenticating the request made at the application programming interface (API);

routing the authenticated request to the CDN and determining whether the requested weather data is stored in the cache of a content delivery network (CDN);

if the requested weather data is stored in the cache of the CDN, accessing one or more tiles containing the requested weather data from the cache of the CDN in accordance with the one or more time indices and the one or more geographic location indices specified in the request and the CDN providing the one or more CDN accessed tiles to the requester; and

if the requested weather data is not stored in the cache of the CDN, routing the authenticated request to the mass storage data cube via an API/Web layer, accessing one or more tiles of the mass storage data cube in accordance with the one or more time indices and the one or more geographic location indices specified in the request, and providing the one or more mass storage data cube accessed tiles to the requester.

19. The method of claim 13, further comprising:

authenticating the request at the application programming interface (API) prior to one or more of the image tile service and the data tile service making available the requested weather data to the requester of the requested weather data.

20. The method of claim 13, wherein the requester of the requested weather data is one or more of a Web app, a mobile app, a client app.

21. The method of claim 4, further comprising:

determining whether a location of a user is within a weather alert condition;

responsive to determining that the location of the user is within the weather alert condition, communicating to the user via a generated alert message that the location of the user is within the weather alert condition; and

responsive to a request from the user for information about the weather alert condition, the request from the user specifying one or more time indices and one or more geographic location indices of requested weather data, accessing one or more tiles of the requested weather data identified by the one or more time indices and the one or more geographic location indices and providing the one or more accessed tiles to the user.

22. The method of claim 21, further comprising:

an alerting engine coupled to an application programming interface (API) at which the user made the request for information about the weather alert condition determining whether the location of the user is within the weather alert condition by checking the location of the user through a registration system application programming interface (API); and

responsive to the alerting engine verifying the location of the user is within the weather alert condition, the alerting engine generating the generated alert message and transmitting the generated alert message to a message queue that routes the generated alert message to the user.

23. The method of claim 4, where analyzing weather data retrieved from the mass storage data cube comprises reviewing weather forecast data previously stored in the mass storage data cube, the weather forecast data including one or more of temperature, humidity and wind conditions.

24. The method of claim 4, where analyzing weather data retrieved from the mass storage data cube comprises determining a length of time since an event occurrence to determine whether an action is needed in view of the determined length of time since the event occurrence.

25. The method of claim 4, where analyzing weather data retrieved from the mass storage data cube comprises performing statistical analysis of a plurality of forecast weather data previously stored in the mass storage data cube to determine an average forecast along a route, to determine a most severe forecast along the route, or to determine a range of previously stored forecasts along the route.

26. The method of claim 4, where analyzing weather data retrieved from the mass storage data cube comprising analyzing past performance of a weather application.

27. The method of claim 26, where analyzing weather data retrieved from the mass storage data cube further comprises determining from the retrieved weather data when an alert condition exists.

28. The method of claim 27, further comprising transmitting an alert message about the alert condition to a user.

29. The method of claim 28, further comprising responsive to receiving the alert message about the alert condition the user requesting to receive the analyzed weather data.

30. The method of claim 4, where making a calculation based upon weather data retrieved from the mass storage data cube comprises performing a calculation using historical data retrieved from the mass storage data cube.

31. The method of claim 30, further comprising calculating a growing degree days (GDD) from temperature weather data retrieved from the mass storage data cube.