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A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years

机译:200年来气象观测站数量的增长研究

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Studies of climate data is an essential topic which has attracted increasing attention from the scientific community. Researchers from disparate academic disciplines investigate climate change and develop techniques for weather forecasting based on reliable climate data. A meteorological observation site is one the major source for providing reliable climate data. Hence, the amount of weather observatories in a country directly reflects the level of research on weather in this country. In this work, we established a dataset of the annual amount of observation sites that operate normally in 181 countries from 1800 to 2017. Furthermore, we collect data on economic, research investment, agriculture investment, and etc, in each country, which may be related to the amount of observation sites. Then, we analyze the correlation coefficient between all kinds of factors (such as GDP and agricultural acreage) and the growth of the amount of observation sites in a country. Experimental results indicate that some of the factors are highly related to the amount of observation sites but some are not. Moreover, we develop neural network models to forecast the amount of sites in a country. Experimental results indicate that the prediction is accurate.
机译:气候数据的研究是必不可少的主题,引起了科学界的越来越多的关注。来自不同学科的研究人员研究气候变化,并根据可靠的气候数据开发天气预报技术。气象观测站是提供可靠气候数据的主要来源之一。因此,一个国家的天气观测站数量直接反映了该国天气的研究水平。在这项工作中,我们建立了从1800年到2017年在181个国家中正常运行的年度观测点数量的数据集。此外,我们收集了每个国家的经济,研究投资,农业投资等数据,可能是与观察点的数量有关。然后,我们分析了一个国家的各种因素(例如GDP和农业面积)与观测点数量增长之间的相关系数。实验结果表明,某些因素与观测点的数量高度相关,而某些因素与观测点的高度无关。此外,我们开发了神经网络模型来预测一个国家的站点数量。实验结果表明该预测是准确的。

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