Surface weather observation via distributed devices

J. L. Zamora, Naoya Sawada, Takemi Sahara, S. Kashihara, Yuzo Taenaka, S. Yamaguchi
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引用次数: 2

Abstract

With rain-related hazards, it is difficult to forecast and prepare for it due to the decline in the availability and reliability of global daily weather reports. Therefore, we need to make use of available unconventional commercial weather instruments to provide supplementary information to existing systems. A more accurate and reliable weather forecast can then be made due to the prompt availability of information from ubiquitous devices. As smartphones become a widely used device, we propose a conceptual design of a multi-device ground weather observation network using smartphones and other sensors. In this paper, we first investigate the differences between smartphone-based sensors and other sensors to determine issues to address for big data on global weather information. In our experiments, we found that the data quality differs among devices in a very small area of 100 m grid.
通过分布式设备进行地面天气观测
由于全球每日天气报告的可用性和可靠性下降,与雨有关的灾害难以预测和防备。因此,我们需要利用现有的非传统商业气象仪器,为现有系统提供补充资料。由于无处不在的设备可以及时提供信息,因此可以做出更准确、更可靠的天气预报。随着智能手机成为广泛使用的设备,我们提出了一个使用智能手机和其他传感器的多设备地面气象观测网络的概念设计。在本文中,我们首先研究了基于智能手机的传感器与其他传感器之间的差异,以确定全球天气信息大数据需要解决的问题。在我们的实验中,我们发现在一个非常小的100米网格区域内,设备之间的数据质量存在差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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