Jingyi Tao

Title: Innovations of Jingyi Tao: A Pioneer in Meteorological Methods

Introduction

Jingyi Tao is an accomplished 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, his work focuses on automatic recognition methods that enhance weather forecasting and analysis.

Latest Patents

One of Jingyi Tao's latest patents is an "Automatic recognition method for dry quasi-stationary front in Kunming, Yunnan, China." This method involves reading data and calculating the temperature lapse rate between various layers from the ground surface to 650 hPa. It aims to identify frontal inversions while removing irrelevant data, ultimately connecting filtered frontal nodes to define a quasi-stationary front in the region.

Another notable patent is the "Method for automatically identifying south troughs by improved Laplace." This method utilizes grid data of geopotential height fields to calculate gradient fields and identify potential troughs. By employing binarization processing and merging techniques, it effectively selects targets based on contour direction and axial ratios.

Career Highlights

Jingyi Tao is affiliated with the Chengdu University of Information Technology, where he applies his expertise in meteorology. His innovative approaches have garnered attention in academic and research circles, contributing to advancements in weather prediction technologies.

Collaborations

Jingyi has collaborated with notable colleagues such as Wendong Hu and Yongkai Zhang. Their combined efforts in research and development have furthered the understanding of meteorological phenomena and improved forecasting methods.

Conclusion

Jingyi Tao's contributions to meteorology through his innovative patents demonstrate his commitment to advancing weather analysis techniques. His work not only enhances scientific understanding but also has practical applications in improving weather forecasting.