contributor author | Arya Sajeev | |
contributor author | S. Deb Barma | |
contributor author | Amai Mahesha | |
contributor author | Jenq-Tzong Shiau | |
date accessioned | 2022-02-01T00:35:41Z | |
date available | 2022-02-01T00:35:41Z | |
date issued | 3/1/2021 | |
identifier other | %28ASCE%29IR.1943-4774.0001536.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4271710 | |
description abstract | This study aims to construct the multiple time-scale joint distributions of drought duration and severity using two-dimensional copulas and compare the drought characteristics in India’s two contrasting climate regions: the arid Rajasthan and humid, tropical Kerala. The drought occurrences were defined by the standardized precipitation index (SPI) with a threshold below −0.8 at time scales of 3, 6, 12, and 24 months for 1900–2016. Significant correlations were noted between the drought severity and drought duration in both regions. The Clayton copula gave a better fit than other copulas for modeling the dependence among the observed drought duration and severity. The results indicate that the probability of short-term droughts (SPI-3 and SPI-6) is more significant than those of long-term droughts (SPI-12 and SPI-24) for an identical drought event in both regions. Also, the probability of severe drought events with greater duration and severity for long-term droughts (SPI-12 and SPI-24) is higher in Kerala than that in western Rajasthan. For all the time-scale SPIs, the conditional probability of drought severity for a given duration exceeding a threshold showed an increasing trend in both regions. Furthermore, the conditional probability of the drought duration given the severity for short-term droughts is greater than that of the long-term droughts for the same drought event. For short-term droughts, the conditional return period of an identical drought event is lower in Kerala than in western Rajasthan. In contrast, the conditional return period of long-term droughts is lower in western Rajasthan. Additionally, copula-based nonexceedance conditional distributions for the major crops were established based on rainfall. | |
publisher | ASCE | |
title | Bivariate Drought Characterization of Two Contrasting Climatic Regions in India Using Copula | |
type | Journal Paper | |
journal volume | 147 | |
journal issue | 3 | |
journal title | Journal of Irrigation and Drainage Engineering | |
identifier doi | 10.1061/(ASCE)IR.1943-4774.0001536 | |
journal fristpage | 05020005-1 | |
journal lastpage | 05020005-18 | |
page | 18 | |
tree | Journal of Irrigation and Drainage Engineering:;2021:;Volume ( 147 ):;issue: 003 | |
contenttype | Fulltext | |