Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1675-2022
https://doi.org/10.5194/amt-15-1675-2022
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

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

Siming Zheng, Juan Huo, Wenbing Cai, Yinhui Zhang, Peng Li, Gaoyuan Zhang, Baofeng Ji, Jiafeng Zhou, and Congzheng Han

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Cited articles

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Chen, F. and Avissar, R.: Impact of land-surface moisture variability on local shallow convective cumulus and precipitation in large-scale models, J. Appl. Meteorol., 33, 1382–1401, https://doi.org/10.1175/1520-0450(1994)033<1382:IOLSMV>2.0.CO;2, 1994. 
Chwala, C., Gmeiner, A., Qiu, W., Hipp, S., Nienaber, D., Siart, U., Eibert, T., Pohl, M., Seltmann, J., Fritz, J., and Kunstmann, H.: Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of Southern Germany, Hydrol. Earth Syst. Sci., 16, 2647–2661, https://doi.org/10.5194/hess-16-2647-2012, 2012. 
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Short summary
We demonstrated the processing of millimeter wave link data with a time resolution of 1 min for 60 dry periods from August 2020 to July 2021. We have proposed a new method for 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.
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