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논문 기본 정보

자료유형
학술저널
저자정보
Jae-Won Choi (Nanjing University of Information Science and Technology) Hae-Dong Kim (Keimyung University)
저널정보
계명대학교 자연과학연구소 Quantitative Bio-Science Quantitative Bio-Science Vol.37 No.2
발행연도
2018.11
수록면
91 - 101 (11page)

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초록· 키워드

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This study has analyzed applicable characteristics on big data of the meteorology and climate depending on press releases in the media. As a result, more than half of them were conducted by governmental departments and institutions (26.9%) and meteorological administration (25.0%). Most articles were written by journalists, especially the highest portion stems from straight articles focusing on delivering simple information. For each field, the number of cases had listed in order of rank to be exposed to the media; information service, business management, farming, livestock, and fishing industries, and disaster management, but others did rank far behind; insurance, construction, hydrology and energy. Application of big data about meteorology and climate differed depending on the seasonal change, it was directly related to temperature information during spring, to weather phenomenon such as monsoon and heat wave during summer, to meteorology and climate information during fall, and to weather phenomenon such as cold wave and heavy snow during winter.

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ABSTRACT
Introduction
Data and Methods
Analysis of the Results
Summary and Conclusion
References

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