Chengdu, China

Jianhong Gan


Average Co-Inventor Count = 16.9

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):

Title: Innovations of Jianhong Gan in Meteorological Technology

Introduction

Jianhong Gan is a notable inventor based in Chengdu, China. He has made significant contributions to the field of meteorology through his innovative patents. With a total of 3 patents, Gan's work focuses on advanced methods for weather monitoring and analysis.

Latest Patents

One of his latest patents is an "Automatic hail identification method based on radar image spatial mapping." This method provides a systematic approach to identifying hail by utilizing radar images. It involves obtaining a base reflectivity radar image, grading radar echoes, and performing spatial mapping to detect hail occurrences. This innovation offers a rapid and accurate solution for hail monitoring and alleviates the pressure on forecasters.

Another significant patent is the "Automatic recognition method for dry quasi-stationary front in Kunming, Yunnan, China." This method includes reading data and calculating temperature lapse rates to identify frontal nodes. By employing a differential method and Gaussian filtering, Gan's invention effectively recognizes quasi-stationary fronts, enhancing weather prediction capabilities.

Career Highlights

Jianhong Gan is affiliated with the Chengdu University of Information Technology, where he continues to advance research in meteorological technologies. His work has garnered attention for its practical applications in weather forecasting and analysis.

Collaborations

Gan collaborates with esteemed colleagues such as Wendong Hu and Yanqiong Hao, contributing to a dynamic research environment focused on innovative meteorological solutions.

Conclusion

Jianhong Gan's contributions to meteorology through his patents demonstrate his commitment to advancing weather monitoring technologies. His innovative methods not only enhance forecasting accuracy but also support the broader scientific community in understanding weather phenomena.

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