Calibration principles and uncertainty analysis of full-performance automatic precipitation monitoring system

Jianghuan Shi; Weidong Yu; Hongzhi Ji; Huan Liu; Mengna Zhou; Yueyao Wang; Yinbao Cheng

doi:10.1117/12.3032786

13 September 2024 Calibration principles and uncertainty analysis of full-performance automatic precipitation monitoring system

Jianghuan Shi, Weidong Yu, Hongzhi Ji, Huan Liu, Mengna Zhou, Yueyao Wang, Yinbao Cheng

Author Affiliations +

Proceedings Volume 13178, Eleventh International Symposium on Precision Mechanical Measurements; 131781Y (2024) https://doi.org/10.1117/12.3032786
Event: Eleventh International Symposium on Precision Mechanical Measurements, 2023, Guangzhou, China

Abstract

The full-performance automatic precipitation monitoring system is an advanced rainfall monitoring system, which can monitor rainfall and rainfall intensity in real time and accurately, and can analyze, process and store meteorological data. The system usually consists of measurement, signal conversion, signal transmission, data processing, etc., and can collect rainfall information in real time. On the basis of many experiments, this paper analyzes the calibration principle and uncertainty of the full-performance automatic precipitation monitoring system, which can better understand the performance of the system and improve its measurement accuracy and reliability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jianghuan Shi, Weidong Yu, Hongzhi Ji, Huan Liu, Mengna Zhou, Yueyao Wang, and Yinbao Cheng "Calibration principles and uncertainty analysis of full-performance automatic precipitation monitoring system", Proc. SPIE 13178, Eleventh International Symposium on Precision Mechanical Measurements, 131781Y (13 September 2024); https://doi.org/10.1117/12.3032786

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