This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Raytheon Company. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Sabien D Jarmin - Innovator in 3D Radar Weather Data Rendering Techniques
Introduction
Sabien D Jarmin is an accomplished inventor based in Omaha, NE (US). He has made significant contributions to the field of weather data visualization through his innovative techniques. His work focuses on enhancing the way weather data is rendered in three dimensions, providing valuable insights for meteorological applications.
Latest Patents
Sabien D Jarmin holds a patent for his invention titled "Three-dimensional (3D) radar weather data rendering techniques." This patent discloses methods, systems, devices, and machine-readable media for rendering weather data in a three-dimensional format. The computer-implemented method involves retrieving weather data from a weather radar and generating gridded data based on this information. The gridded data consists of a uniform grid of cubes, each associated with at least one weather parameter value. A triangular mesh is extracted for data groupings within the gridded data, and an object file is generated to present a 3D rendering of the weather data.
Career Highlights
Sabien D Jarmin is currently employed at Raytheon Company, where he applies his expertise in radar technology and data visualization. His innovative approach to 3D rendering has the potential to revolutionize how meteorologists interpret and present weather data.
Collaborations
Throughout his career, Sabien has collaborated with notable colleagues, including Mark A Cornell and Rachel M Phinney. These partnerships have contributed to the advancement of technology in the field of weather data analysis.
Conclusion
Sabien D Jarmin is a pioneering inventor whose work in 3D radar weather data rendering techniques is shaping the future of meteorological data visualization. His contributions are essential for improving the accuracy and effectiveness of weather forecasting.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
