Preprints
https://doi.org/10.5194/amt-2021-305
https://doi.org/10.5194/amt-2021-305

  12 Nov 2021

12 Nov 2021

Review status: this preprint is currently under review for the journal AMT.

Water vapor estimation based on one-year data of E-band millimeter-wave link in the northeast of China

Siming Zheng1, Juan Huo2,3,4, Wenbing Cai5, Yinhui Zhang5, Peng Li1, Gaoyuan Zhang2,6, Baofeng Ji2,6, Jiafeng Zhou7, and Congzheng Han2,3,4 Siming Zheng et al.
  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
  • 2Electronics and Communication Engineering Laboratory, Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Xianghe Observatory of Whole Atmosphere, Institute of Atmospheric Physics, Chinese Academy of Sciences, Xianghe 065400, China
  • 5Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
  • 6College of Information Engineering, Henan University of Science and Technology, Luoyang 471023, China
  • 7Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, UK

Abstract. The amount of water vapor in the atmosphere is very small, but its content varies greatly in different humidity areas. The change of 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 of the near-ground microwave link transmission signal. This study collected one-year data of the E-band millimeter-wave link in Hebei, China, and used a model based on the 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 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, and the average relative error is as low as 0.05. 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.

Siming Zheng et al.

Status: open (until 17 Dec 2021)

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Siming Zheng et al.

Siming Zheng et al.

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Short summary
We demonstrated the processing of millimeter-wave link data with a time resolution of 1 minute for 60 dry periods from August 2020 to July 2021. We have proposed a new method of extracting water vapor attenuation values and applied this method to data processing within this year. We found that the water vapor density value obtained from the millimeter-wave link is highly correlated with the actual measurement value of the weather station.