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4ONSE as a complementary to conventional weather observation network

机译:4张响作为传统的天气观察网络的互补

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Over the centuries, sensing the weather has been important to mankind for decision making. Weather observations are important to better understand the climate variability and its consequences which ranges over different temporal and spatial scales such as localized rainfall and thunderstorms to large scale storms and droughts. Analysis of climate induced phenomenon is data intensive and the data collected from very sparse network of professional weather stations have become incapable to forecast magnitude of the climate induced events. In this research, we present a 4ONSE network as a complementary to professional, state-owned weather station network. This open network was built on 4 open pillars - open hardware, open software, open standards and open data. Credibility of the network was assessed by analyzing the reliability and accuracy of data, cost incurred in building the station and conformity of measured parameters with WMO standards. Even though the 4ONSE station is not a high tech, professional weather station, these mini stations can be used to filling the gaps left by professional weather stations. Thus, they can be used to improve the coverage of the existing weather network of the country and to obtain the observations at near real time for producing accurate weather and disaster forecasts.
机译:几个世纪以来,感知天气对人类进行决策很重要。天气观测对于更好地了解气候变异性和其后果,其在不同的时间和空间尺度范围内的影响,如局部降雨和雷雨到大规模风暴和干旱。气候诱导现象分析是数据密集型,并且从专业气象站的非常稀疏网络收集的数据已经无法预测气候诱导事件的幅度。在这项研究中,我们将4次网络作为专业,国有的天气站网络互补。这款开放式网络建于4个开放式支柱 - 开放式硬件,开放式软件,开放式标准和开放数据。通过分析数据的可靠性和准确性,在建立车站和WMO标准的测量参数的符合性时,通过分析数据的可靠性和准确性来评估网络的可信度。尽管4次站不是高科技,专业气象站,但这些迷你站可用于填补专业气象站留下的空白。因此,它们可用于改善国家现有天气网络的覆盖范围,并在近实时获得观察,以生产准确的天气和灾难预测。

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