Self-Organized Criticality of Rainfall in Central China
Rainfall is a complexity dynamics process. In this paper, our objective is to find the evidence of self-organized criticality (SOC) for rain datasets in China by employing the theory and method of SOC. For this reason, we analyzed the long-term rain records of five meteorological stations in Henan,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2012/203682 |
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| author | Zhiliang Wang Chunyan Huang |
| author_facet | Zhiliang Wang Chunyan Huang |
| author_sort | Zhiliang Wang |
| collection | DOAJ |
| description | Rainfall is a complexity dynamics process. In this paper, our objective is to find the evidence of self-organized criticality (SOC) for rain datasets in China by employing the theory and method of SOC. For this reason, we analyzed the long-term rain records of five meteorological stations in Henan, a central province of China. Three concepts, that is, rain duration, drought duration, accumulated rain amount, are proposed to characterize these rain events processes. We investigate their dynamics property by using scale invariant and found that the long-term rain processes in central China indeed exhibit the feature of self-organized criticality. The proposed theory and method may be suitable to analyze other datasets from different climate zones in China. |
| format | Article |
| id | doaj-art-0015ac584d8a4d1590ff3d1dbbc43601 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-0015ac584d8a4d1590ff3d1dbbc436012025-02-03T01:11:11ZengWileyAdvances in Meteorology1687-93091687-93172012-01-01201210.1155/2012/203682203682Self-Organized Criticality of Rainfall in Central ChinaZhiliang Wang0Chunyan Huang1College of Mathematics and Informatics, North China University of Water Conservancy and Hydroelectric Power, 36 Beihuan Road, Henan, Zhengzhou 450011, ChinaCollege of Mathematics and Informatics, North China University of Water Conservancy and Hydroelectric Power, 36 Beihuan Road, Henan, Zhengzhou 450011, ChinaRainfall is a complexity dynamics process. In this paper, our objective is to find the evidence of self-organized criticality (SOC) for rain datasets in China by employing the theory and method of SOC. For this reason, we analyzed the long-term rain records of five meteorological stations in Henan, a central province of China. Three concepts, that is, rain duration, drought duration, accumulated rain amount, are proposed to characterize these rain events processes. We investigate their dynamics property by using scale invariant and found that the long-term rain processes in central China indeed exhibit the feature of self-organized criticality. The proposed theory and method may be suitable to analyze other datasets from different climate zones in China.http://dx.doi.org/10.1155/2012/203682 |
| spellingShingle | Zhiliang Wang Chunyan Huang Self-Organized Criticality of Rainfall in Central China Advances in Meteorology |
| title | Self-Organized Criticality of Rainfall in Central China |
| title_full | Self-Organized Criticality of Rainfall in Central China |
| title_fullStr | Self-Organized Criticality of Rainfall in Central China |
| title_full_unstemmed | Self-Organized Criticality of Rainfall in Central China |
| title_short | Self-Organized Criticality of Rainfall in Central China |
| title_sort | self organized criticality of rainfall in central china |
| url | http://dx.doi.org/10.1155/2012/203682 |
| work_keys_str_mv | AT zhiliangwang selforganizedcriticalityofrainfallincentralchina AT chunyanhuang selforganizedcriticalityofrainfallincentralchina |