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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Crowdsourcing for climate and atmospheric sciences: current status and future potential
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Crowdsourcing for climate and atmospheric sciences: current status and future potential

机译:气候和大气科学的众包:现状和未来潜力

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摘要

Crowdsourcing is traditionally defined as obtaining data or information by enlisting the services of a (potentially large) number of people. However, due to recent innovations, this definition can now be expanded to include and/or from a range of public sensors, typically connected via the Internet.' A large and increasing amount of data is now being obtained from a huge variety of non-traditional sources-from smart phone sensors to amateur weather stations to canvassing members of the public. Some disciplines (e.g. astrophysics, ecology) are already utilizing crowdsourcing techniques (e.g. citizen science initiatives, web 2.0 technology, low-cost sensors), and while its value within the climate and atmospheric science disciplines is still relatively unexplored, it is beginning to show promise. However, important questions remain; this paper introduces and explores the wide-range of current and prospective methods to crowdsource atmospheric data, investigates the quality of such data and examines its potential applications in the context of weather, climate and society. It is clear that crowdsourcing is already a valuable tool for engaging the public, and if appropriate validation and quality control procedures are adopted and implemented, it has much potential to provide a valuable source of high temporal and spatial resolution, real-time data, especially in regions where few observations currently exist, thereby adding value to science, technology and society.
机译:传统上,众包定义为通过征集(可能很多)人的服务来获取数据或信息。但是,由于最近的创新,现在可以将该定义扩展为包括和/或包括通常通过Internet连接的一系列公共传感器。现在正从各种各样的非传统来源中获取大量且不断增加的数据,从智能手机传感器到业余气象站再到公众拉票。一些学科(例如,天体物理学,生态学)已经在利用众包技术(例如,公民科学计划,web 2.0技术,低成本传感器),尽管其在气候和大气科学学科中的价值仍未得到充分挖掘,但它开始显示诺言。但是,仍然存在重要的问题。本文介绍并探索了用于众包大气数据的各种当前和预期方法,研究了这些数据的质量并研究了其在天气,气候和社会背景下的潜在应用。显然,众包已经是吸引公众参与的宝贵工具,如果采用并实施适当的验证和质量控制程序,众包具有提供高价值的时空分辨率,实时数据(尤其是实时数据)的巨大潜力。在目前几乎没有观测值的地区,从而为科学,技术和社会增加了价值。

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