Advances in Atmospheric Sciences

, Volume 36, Issue 7, pp 766–769 | Cite as

Harnessing Crowdsourced Data and Prevalent Technologies for Atmospheric Research

  • Noam DavidEmail author
Notes & Letters


The knowledge garnered in environmental science takes a crucial part in informing decision-making in various fields, including agriculture, transportation, energy, public health and safety, and more. Understanding the basic processes in each of these fields relies greatly on progress being made in conceptual, observational and technological approaches. However, existing instruments for environmental observations are often limited as a result of technical and practical constraints. Current technologies, including remote sensing systems and ground-level measuring means, may suffer from obstacles such as low spatial representativity or a lack of precision when measuring near ground-level. These constraints often limit the ability to carry out extensive meteorological observations and, as a result, the capacity to deepen the existing understanding of atmospheric phenomena and processes. Multi-system informatics and sensing technology have become increasingly distributed as they are embedded into our environment. As they become more widely deployed, these technologies create unprecedented data streams with extraordinary levels of coverage and immediacy, providing a growing opportunity to complement traditional observation techniques using the large volumes of data created. Commercial microwave links that comprise the data transfer infrastructure of cellular communication networks are an example of these types of systems. This viewpoint letter briefly reviews various works on the subject and presents aspects concerning the added value that may be obtained as a result of the integration of these new means, which are becoming available for the first time in this era, for studying and monitoring atmospheric phenomena.

Key words

atmospheric science IoT (Internet of Things) crowdsourced data commercial microwave links 


环境科学所涵盖的知识为农业, 交通, 能源, 公共卫生和安全等各个领域的决策制定提供了重要的客观依据. 理解各领域的基本过程在很大程度上依赖于在概念方法, 观测方法和技术手段方面取得的进展. 然而, 现有传统的观测仪器受当前技术条件的约束和实际情况的限制. 例如, 现有的遥感系统和地面观测, 在对地表做气象观测的时候可能会受到诸如低分辨率, 或者低精度的制约. 这些往往限制了对更广泛气象观测数据获取的能力, 导致很难基于此更深入的理解自然界存在的大气现象和过程. 多系统信息学和遥感物联网技术的应用已逐渐融入, 并广泛分布于我们的生活环境. 这些技术的广泛使用创造出了前所未有的数据流, 这些数据具有数量庞大, 覆盖范围极广, 时效性极强, 以及易获取性的特点, 为补充传统观测技术提供了越来越多的机会. 例如, 构成蜂窝通信网络的数据传输基础设施的商用微波链路是这类系统的一个例子. 本文简要地回顾了有关该主题的很多相关研究工作, 介绍了由于这些新手段的整合可能带来的附加值. 这个时代首次可以将这些手段用于研究和检测大气现象.


大气科学 物联网 众包数据 商用微波链路 (翻译:夏江江) 


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I wish to express my deepest gratitude to Professor Yoshihide SEKIMOTO and his research team for fruitful discussions and for hosting me in their laboratory as a Visiting Scientist at the Institute of Industrial Science of the University of Tokyo, Japan, during 2018-19.


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Copyright information

© Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Industrial ScienceThe University of TokyoTokyoJapan

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