Water vapor estimation based on 1-year data of E-band millimeter wave link in North China

Zheng, Siming, Huo, Juan ORCID: 0000-0003-3241-3021, Cai, Wenbing, Zhang, Yinhui, Li, Peng, Zhang, Gaoyuan, Ji, Baofeng, Zhou, Jiafeng ORCID: 0000-0001-5829-3932 and Han, Congzheng
(2022) Water vapor estimation based on 1-year data of E-band millimeter wave link in North China. Atmospheric Measurement Techniques, 15 (6). pp. 1675-1687.

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<jats:p>Abstract. The amount of water vapor in the atmosphere is very small, but its content varies greatly in different humidity areas. The change in water vapor will affect the transmission of microwave link signals, and most of the water vapor is concentrated in the lower layer, so the water vapor density can be measured by the change in the near-ground microwave link transmission signal. This study collected 1-year data of the E-band millimeter wave link in Hebei, China, and used a model based on the International Telecommunication Union Radiocommunication Sector (ITU-R) to estimate the water vapor density. An improved method of extracting the water-vapor-induced attenuation value is also introduced. It has a higher time resolution, and the estimation error is lower than the previous method. In addition, this paper conducts the seasonal analysis of water vapor inversion for the first time. The monthly and seasonal evaluation index results show a high correlation between the retrieved water vapor density and the actual water vapor density value measured by the local weather station. The correlation value for the whole year is up to 0.95, the root mean square error is as low as 0.35 g m−3, and the average relative error is as low as 5.00 %. Compared with European Center for Medium-Range Weather Forecast (ECMWF) reanalysis, the correlation of the daily water vapor density estimation of the link has increased by 0.17, the root mean square error has been reduced by 3.14 g m−3, and the mean relative error has been reduced by 34.00 %. This research shows that millimeter wave backhaul link provides high-precision data for the measurement of water vapor density and has a positive effect on future weather forecast research. </jats:p>

Item Type: Article
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 05 Apr 2023 08:37
Last Modified: 05 Apr 2023 08:39
DOI: 10.5194/amt-15-1675-2022
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3169457