大尺度气候数据分析:约旦案例研究

2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Pub Date : 2014-11-01 DOI:10.1109/AICCSA.2014.7073211

Y. Jararweh, I. Alsmadi, M. Al-Ayyoub, D. Jenerette

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引用次数: 1

摘要

以提取模式为目的的大规模数据分析适用于多个研究领域。本文收集了约旦的气候相关历史数据集。主要重点是研究约旦天气属性在评估期间的演变标准及其与气候变化的关系。结果表明，湿度和露点天气属性在未来将面临显著增加。预计这种增长将对人类生活产生直接和间接的影响。

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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The analysis of large-scale climate data: Jordan case study

The analysis of large-scale data for the purpose of extracting patterns is applicable to several research fields. In this paper, a dataset of climate related historical data from Jordan is collected. The main focus is to study evolution criteria of weather attributes in Jordan over the evaluated period of time and how it is connected to climate change. Results showed that humidity and dew point weather attributes are going to face a significant increase in the future. Such an increase is expected to have a direct, as well as an indirect impact on human life.

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2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)

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