Opportunistic remote sensing of rainfall using microwave links from cellular communication networks
Opportunistic remote sensing of rainfall using microwave links from cellular communication networks
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DOI：
10.1002/wat2.1289
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发表时间：
2018-07-01
影响因子：
8.2
通讯作者：
Leijnse, Hidde
中科院分区：
文献类型：
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作者：
Uijlenhoet, Remko;Overeem, Aart;Leijnse, Hidde
来自蜂窝通信网络的微波回程链路提供了高分辨率时空降雨信息的宝贵机会来源，补充了传统的现场测量设备（雨量计、雨量计）和遥感器（气象雷达、卫星）。在过去十年中，越来越多的研究人员与蜂窝通信公司密切合作，开发了检索算法，将其网络管理系统存储的原始微波链路信号转换为水文气象学上有用的降雨量估计。气象和水文业务部门以及私营咨询公司越来越有兴趣利用这一降雨量信息的补充来源来改进它们向不同部门的最终用户提供的产品和服务，从水管理和天气预报到农业和交通管制。这些机会性环境传感器的最大潜力在于地球陆地表面上传统雨量测量装置密度较低的地理区域：山区和城市地区以及发展中世界。本文提供了一个非专家的历史，理论，挑战和机遇，对大陆尺度的降雨监测使用蜂窝通信网络的微波链路的总结。本文分类下：水的科学>水的科学方法>水文过程
Microwave backhaul links from cellular communication networks provide a valuable opportunistic source of high-resolution space-time rainfall information, complementing traditional in situ measurement devices (rain gauges, disdrometers) and remote sensors (weather radars, satellites). Over the past decade, a growing community of researchers has, in close collaboration with cellular communication companies, developed retrieval algorithms to convert the raw microwave link signals, stored operationally by their network management systems, to hydrometeorologically useful rainfall estimates. Operational meteorological and hydrological services as well as private consulting firms are showing an increased interest in using this complementary source of rainfall information to improve the products and services they provide to end users from different sectors, from water management and weather prediction to agriculture and traffic control. The greatest potential of these opportunistic environmental sensors lies in those geographical areas over the land surface of the Earth where the densities of traditional rainfall measurement devices are low: mountainous and urban areas and the developing world. This article provides a nonexpert summary of the history, theory, challenges, and opportunities toward continental-scale rainfall monitoring using microwave links from cellular communication networks. This article is categorized under:Science of Water > Methods Science of Water > Hydrological Processes