Jiangsu, China

Xichuan Liu


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: Xichuan Liu - Innovator in Precipitation Measurement Technology

Introduction

Xichuan Liu 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 particularly relevant in understanding precipitation dynamics and improving weather forecasting.

Latest Patents

Xichuan Liu 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 detailed 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.

Career Highlights

Xichuan Liu is affiliated with the Pla University of Science and Technology, where he continues to advance research in meteorological technologies. His innovative approach to precipitation measurement has garnered attention in both academic and practical applications.

Collaborations

Xichuan Liu has collaborated with notable colleagues, including Taichang Gao and Lei Liu, contributing to the advancement of research in his field.

Conclusion

Xichuan Liu's contributions to precipitation measurement technology exemplify the impact of innovative thinking in meteorology. His patented method enhances our understanding of precipitation characteristics, paving the way for improved weather prediction and analysis.

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