Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.6070 |
Multifractal characterization of meteorological drought in India using detrended fluctuation analysis | |
Adarsh, S.1; Kumar, D. Nagesh2; Deepthi, B.1; Gayathri, G.1; Aswathy, S. S.1; Bhagyasree, S.1 | |
2019-09-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:11页码:4234-4255 |
文章类型 | Article |
语种 | 英语 |
国家 | India |
英文摘要 | This study presents multifractal detrended fluctuation analysis (MF-DFA) to describe the multifractality of Standardized Precipitation Index (SPI) series from 30 meteorological subdivisions of India estimated at different aggregation timescales (3, 6 and 12 months) based on long-term monthly rainfall data sets of 1871-2016 period. The plots of fluctuation function and generalized Hurst exponents confirmed that multifractality is evident in most of the SPI series; however, it is found that its strength and persistency differ with timescale and space. The Hurst exponents of long-term (SPI-12) and medium-term (SPI-6) drought series of all subdivisions showed long-term persistence irrespective of the climatic conditions of the region, while the short-term droughts (SPI-3) of six subdivisions displayed short-term persistence. Further, the analysis by partitioning the data to four time spells: 1871-1905, 1906-1940, 1941-1975 and 1976-2016 showed that the persistency of long- and medium-term drought is rather permanent. The analysis on changes in multifractal properties with respect to the climatic shift of 1976/1977 period showed that there is a clear increase in multifractal properties of all types of drought series in the recent past (post-1976 period). This study also finds that the Hurst exponents and degree of multifractality of all types of droughts increase with increase in aggregation timescales. The multifractality of all the long-term drought series (SPI-12) and most of the SPI-6 series are found to be due to correlation properties, while that of SPI-3 is because of joint effect of correlation properties and the broadness of probability distribution. |
英文关键词 | climate shift drought multifractal scale SPI |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000483703900004 |
WOS关键词 | SUMMER MONSOON RAINFALL ; RIVER-BASIN ; PEARL RIVER ; TIME-SERIES ; TRENDS ; PRECIPITATION ; TEMPERATURE ; STREAMFLOW ; KERALA ; INDEX |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/186707 |
专题 | 气候变化 |
作者单位 | 1.TKM Coll Engn, Dept Civil Engn, Kollam 691005, India; 2.Indian Inst Sci, Dept Civil Engn, Bangalore, Karnataka, India |
推荐引用方式 GB/T 7714 | Adarsh, S.,Kumar, D. Nagesh,Deepthi, B.,et al. Multifractal characterization of meteorological drought in India using detrended fluctuation analysis[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(11):4234-4255. |
APA | Adarsh, S.,Kumar, D. Nagesh,Deepthi, B.,Gayathri, G.,Aswathy, S. S.,&Bhagyasree, S..(2019).Multifractal characterization of meteorological drought in India using detrended fluctuation analysis.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(11),4234-4255. |
MLA | Adarsh, S.,et al."Multifractal characterization of meteorological drought in India using detrended fluctuation analysis".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.11(2019):4234-4255. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论