This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Korea Meteorological Administration. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Sunghwa Jung: Innovator in Regional Precipitation Nowcasting
Introduction
Sunghwa Jung is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of meteorology through his innovative work on precipitation nowcasting systems. His expertise and dedication to advancing weather prediction technologies have garnered attention in the scientific community.
Latest Patents
Sunghwa Jung holds a patent for a "Regional precipitation nowcasting system and method based on cycle-GAN extension." This system utilizes a cycle-generative adversarial network (GAN) to enhance the accuracy of precipitation forecasts. The technology includes an input unit that receives a composite hybrid surface rainfall (HSR) image, a cycle-GAN that generates a resultant composite HSR image for a later time, and an output unit that presents this image as a nowcasting image for the region of interest. This innovative approach ensures robust temporal causality by applying pixel losses to the cycle-GAN.
Career Highlights
Sunghwa Jung is affiliated with the Korea Meteorological Administration, where he applies his expertise in meteorological research and technology development. His work has been instrumental in improving the accuracy and reliability of weather forecasting systems.
Collaborations
Sunghwa Jung collaborates with talented colleagues, including Jaeho Choi and Yura Kim. Together, they contribute to advancements in meteorological technologies and research.
Conclusion
Sunghwa Jung's innovative contributions to regional precipitation nowcasting exemplify the importance of technology in enhancing weather prediction. His work continues to influence the field of meteorology and improve forecasting accuracy.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
