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DOI10.1007/s00704-020-03296-z
Comparison of parametric and nonparametric standardized precipitation index for detecting meteorological drought over the Indian region
Mallenahalli, Naresh K.
通讯作者Mallenahalli, NK
来源期刊THEORETICAL AND APPLIED CLIMATOLOGY
ISSN0177-798X
EISSN1434-4483
出版年2020
卷号142期号:1-2页码:219-236
英文摘要In this study, Standardized Precipitation Index (SPI) derived from parametric and nonparametric methods using 0.25(circle)gridded rainfall data from 1901 to 2013 (113 years) generated by India Meteorological Department (IMD) was compared for understanding drought conditions over the Indian region. The parametric SPI was computed using a three-parameter Gamma distribution function, whereas nonparametric SPI was computed using Gringorten, Weibull, and Hazen plotting positions, on a 4-month cumulative rainfall data of June-September (SPI-4) representing the southwest monsoon season. Nonnormality is a major concern if equal-sized intervals are drawn for interpretation, and SPI being a normalized index wherein classes are standard deviations from normal, its impact on drought assessment needs to be understood. Accordingly, in our study, normality tests were performed using the Shapiro-Wilk method on SPI derived from both parametric and nonparametric methods. The SPI showed 100%of grid cells conforming to normality in the case of nonparametric methods, whereas in the case of parametric approach it was only 80%. The remaining 20%of nonnormality in parametric SPI is spread over montane, tropical wet, and semi-arid regions of India. Furthermore, differences in the estimation of dryness are observed in the range of 1.0 to 2.5% between nonparametric and parametric SPI for the drought years considered this study. The quantile analysis on all grid cells for the drought year 2002 showed an important fact that at 0.025 quantile only 2.6%of grid cells are in the extremely dry condition as per parametric SPI, whereas in the case of nonparametric SPI it is 6.9%. For the drought year 1939 in grid cells where normality is not followed in parametric SPI, Cohen's kappa (kappa= 0.15) under extreme dryness category indicates large disagreements between parametric and nonparametric SPI. The temporal analysis of Cohen's kappa computed for each grid cell over drought years shows that in 22.5%of cases the drought category between nonparametric and parametric SPI is not in perfect agreement. Hence, the nonparametric SPI can better categorize the drought classes, representing well the extent of dryness and normality conditions, it is highly recommended for drought assessment over India.
英文关键词Drought assessment Standardized precipitation index Pearson-3 distribution L-Moments Cohen's kappa Gringorten Weibull Hazen Plotting position Normality Quantiles
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000545917800001
WOS关键词RIVER-BASIN ; VARIANCE TEST ; SEVERITY ; QUANTIFICATION ; CLIMATOLOGY ; VARIABILITY ; PATTERNS ; EVENTS ; TRENDS ; SPI
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/324942
作者单位[Mallenahalli, Naresh K.] Natl Remote Sensing Ctr, Hyderabad 500037, Telangana, India
推荐引用方式
GB/T 7714		 Mallenahalli, Naresh K.. Comparison of parametric and nonparametric standardized precipitation index for detecting meteorological drought over the Indian region[J],2020,142(1-2):219-236.
APA Mallenahalli, Naresh K..(2020).Comparison of parametric and nonparametric standardized precipitation index for detecting meteorological drought over the Indian region.THEORETICAL AND APPLIED CLIMATOLOGY,142(1-2),219-236.
MLA Mallenahalli, Naresh K.."Comparison of parametric and nonparametric standardized precipitation index for detecting meteorological drought over the Indian region".THEORETICAL AND APPLIED CLIMATOLOGY 142.1-2(2020):219-236.
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