Patents by Inventor John R. Mecikalski

John R. Mecikalski has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10718884
    Abstract: A weather forecasting system has memory for storing satellite image data and numerical weather prediction (NWP) model data, which indicates predicted atmospheric conditions for a geographic region. At least one processor is programmed to identify a cumulus cloud within the satellite image data and to define a zone of influence around the cumulus cloud. The zone of influence represents a boundary for the NWP model data to be used by the processor for predicting whether the cumulus cloud will produce a weather event (e.g., precipitation, convective storm, etc.) in the future.
    Type: Grant
    Filed: March 28, 2016
    Date of Patent: July 21, 2020
    Assignee: Board of Trustees of the University of Alabama, for and on behalf of the University of Alabama in
    Inventor: John R. Mecikalski
  • Patent number: 10670771
    Abstract: A weather forecasting system may receive satellite image samples and identify an updraft and components of the updraft within a cloud. These satellite image samples are collected over time (e.g., at 30 second to 1 minute time intervals). The system may identify an area of rotation and/or divergence at cloud top in a cumulus cloud or mature convective storm over time by comparing the samples and determine a parameter indicative of the updraft based on the area of rotation and divergence. The system may estimate aspects of the environment related to storm development and predict the occurrence of a weather event in the future based on the parameter and generate an output indicative of the occurrence.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: June 2, 2020
    Assignee: Board of Trustees of the University of Alabama, for and on behalf of the University of Alabama in Hunstville
    Inventor: John R. Mecikalski
  • Patent number: 10613252
    Abstract: A weather forecasting system has a data processing system that receives weather data from one or more sources and processes such data in conjunction with a weather forecasting algorithm in order to forecast weather for one or more geographic regions. In this regard, the weather data is input into a machine learning algorithm, which applies learned weights and relationships to the inputs in order to calculate at least one score indicating a probability that precipitation or other weather event will occur in the future within a certain time period (e.g., within the next 1 hour or some other unit of time) in one or more geographic regions. For each such geographic region, the weather forecasting logic may also predict the extent to which rain or other precipitation, lightning, or other weather event will occur during the time period.
    Type: Grant
    Filed: March 17, 2016
    Date of Patent: April 7, 2020
    Assignee: Board of Trustees of the University of Alabama, for and on behalf of the University of Alabama in Huntsville
    Inventor: John R. Mecikalski