利用无线通讯网络中的微波链路来监测降雨和水汽等是大气环境监测的新技术之一。这个技术可以测量近地面的降雨强度和水汽密度等气象参数，具有时空分辨率高、成本低等优势。利用瑞典爱立信公司（Ericsson）提供的位于哥德堡地区E频段的微波通讯链路资料、位于链路一端的气象站1资料和由瑞典气象水文研究所（SMHI）气象网站提供的气象站2资料，对2017年06月13日至2017年07月13日近1个月的水汽密度进行反演计算和分析。结果表明：同一区域的不同地点处的气象要素有一定的差异性，同一区域的温度会有一定的浮动0~4℃，两者之间的相关性为0.87；微波通讯链路反演的水汽密度结果与研究区域的地面气象站1和气象站2测量结果有很好的一致性，两者之间的相关性分别为0.89和0.97，均方根误分别差为0.75g/m3和0.79g/m3；利用微波链路，与现有的湿度监测方法相比，可以为现有的天气监测网络提供额外的丰富的数据源。

The use of microwave links in wireless networks to monitor rainfall and water vapor is the latest technology in atmospheric environmental monitoring. This technology can measure meteorological elements such as rainfall and water vapor near the surface and has the advantages of high spatial and temporal resolution and low cost. The water vapor density from June 13, 2017 to July 13, 2017 is calculated and analyzed by using the data of the microwave communication link in the E-band of Gothenburg provided by Ericsson, the data of meteorological station 1 provided by the meteorological station at one end of the link and the data of meteorological station 2 provided by the meteorological website of the Swedish Institute of Meteorology and Hydrology （SMHI）. The results show that the environmental conditions at different locations in the same area have certain differences, the temperature of the same area shows a variation 0~4℃, the correlation between the two is 0.87; We retrieved water vapour density value from the microwave communication link and compared with the measurement from ground weather station in the study area, and we found the results have good consistency. The correlation between the two is 0.89, and the root mean square error is 0.75g/m3. We have demonstrated that microwave links can be utilized to provide an extra rich data source for existing weather monitoring networks in addition to existing humidity monitoring methods.