This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Chengdu University of Information Technology. Active years: 2024-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2025
Title: Yongkai Zhang: Innovator in Meteorological Methods
Introduction
Yongkai Zhang is a prominent inventor based in Chengdu, China. He has made significant contributions to the field of meteorology through his innovative methods and technologies. With a total of 2 patents, Zhang continues to push the boundaries of scientific understanding and application.
Latest Patents
Zhang's latest patents include an "Automatic recognition method for dry quasi-stationary front in Kunming, Yunnan, China." This method involves reading data and calculating a temperature lapse rate to identify frontal inversions. It effectively removes nighttime clear sky radiation inversions and connects filtered frontal nodes to acquire a quasi-stationary front.
Another notable patent is the "Method for automatically identifying south troughs by improved Laplace." This method focuses on acquiring grid data of a geopotential height field and calculating a gradient field. It identifies turning points in the gradient field and processes the data to select effective targets for potential troughs.
Career Highlights
Zhang is affiliated with the Chengdu University of Information Technology, where he applies his expertise in meteorology. His work has garnered attention for its innovative approach to weather pattern recognition and analysis.
Collaborations
Zhang collaborates with notable colleagues such as Wendong Hu and Hongping Shu, contributing to advancements in meteorological research and technology.
Conclusion
Yongkai Zhang's contributions to meteorology through his patents and collaborative efforts highlight his role as an influential inventor in the field. His innovative methods continue to enhance our understanding of weather phenomena.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile