Jiangsu, China

Taichang Gao


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Taichang Gao: Innovator in Precipitation Measurement Technology

Introduction

Taichang Gao is a notable inventor based in Jiangsu, China. He has made significant contributions to the field of meteorology through his innovative methods for measuring microphysical characteristics of natural precipitation. His work is essential for understanding precipitation dynamics and improving weather forecasting.

Latest Patents

Taichang Gao holds a patent for a method titled "Method for measuring microphysical characteristics of natural precipitation using particle image velocimetry." This invention involves a sophisticated video sensor designed to measure precipitation microphysical features. The method utilizes a CCD camera positioned to face a light source, creating a three-dimensional sampling space. As precipitation particles fall through this space, double-exposure images are captured, allowing for the analysis of particle size, shape, and fall velocity. The invention enables the calculation of drop size distribution, velocity distribution, precipitation intensity, and accumulated precipitation amount through time integration. This innovative approach provides valuable insights into the characteristics of various precipitation particles.

Career Highlights

Taichang Gao is affiliated with the Pla University of Science and Technology, where he continues to advance research in meteorological technologies. His work has garnered attention for its practical applications in weather science and environmental monitoring.

Collaborations

Taichang Gao has collaborated with notable colleagues, including Xichuan Liu and Lei Liu. Their joint efforts contribute to the advancement of research in precipitation measurement and analysis.

Conclusion

Taichang Gao's innovative methods for measuring precipitation characteristics represent a significant advancement in meteorological research. His contributions enhance our understanding of weather patterns and improve forecasting accuracy.

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