Benchmark worst droughts during the summer monsoon in India

V. Mishra, M. Mujumdar, S. Mahto
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引用次数: 3

Abstract

During the summer monsoon (June–September) season, drought poses challenges for agricultural activities and water availability in India. We develop a framework considering the timing, areal coverage and severity that can be used for the assessment of meteorological droughts as the monsoon season progresses. We estimate the benchmark worst droughts within the monsoon season (June, July, August and September) using the long-term (1901–2020) gridded rainfall. The benchmark worst droughts were identified considering the extent and severity of drought using the Drought Severity Coverage Index (DSCI). The worst meteorological drought in June, July, August and September occurred in 1923, 2002, 1937 and 1907 with a return period of 68, 200, 147, 188 years, respectively. The worst drought in the entire summer monsoon season occurred in 1918, which had a return period of 238 years. The benchmark droughts during June 1923, July 2002 and monsoon 1918 were associated with the warm sea surface temperature over the equatorial Pacific Ocean. The other two droughts (1937 and 1907) were linked with the off-equatorial warming over the Indo-Pacific region. The leading mode of variability in the Standardized Precipitation Index obtained from empirical orthogonal function analysis showed that the western and central parts of the country are most affected by droughts during the summer monsoon season. The second leading mode exhibited declining trends in rainfall with a bipolar spatial variability centred over the Gangetic Plain and southern India. The estimated DSCI for a 2–500 return period can be used for the drought assessment during the monsoon season in India. This article is part of the Royal Society Science+ meeting issue ‘Drought risk in the Anthropocene’.
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印度夏季季风期间最严重的干旱
在夏季季风季节(6月至9月),干旱对印度的农业活动和水资源供应构成挑战。我们开发了一个考虑时间、面积覆盖和严重程度的框架,可用于评估季风季节进展中的气象干旱。我们使用长期(1901-2020)网格化降雨量估算了季风季节(6月、7月、8月和9月)的基准最严重干旱。利用干旱严重程度覆盖指数(DSCI),考虑干旱的程度和严重程度,确定了基准最严重干旱。最严重的6月、7月、8月和9月气象干旱分别发生在1923年、2002年、1937年和1907年,重现期分别为68年、200年、147年和188年。整个夏季季风季节最严重的干旱发生在1918年,每238年一次。1923年6月、2002年7月和1918年季风期的基准干旱与赤道太平洋的暖海表温度有关。另外两次干旱(1937年和1907年)与印度洋-太平洋地区的赤道外变暖有关。通过经验正交函数分析得到的标准化降水指数的主导变率模式表明,夏季风季中国西部和中部地区受干旱影响最大。第二个主导模态表现出降雨量下降的趋势,并以恒河平原和印度南部为中心呈现两极空间变异。估算的2-500个回归期的DSCI可用于印度季风季节的干旱评估。这篇文章是皇家学会科学+会议议题“人类世的干旱风险”的一部分。
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The contribution of a catchment-scale advice network to successful agricultural drought adaptation in Northern Thailand Using machine learning to identify novel hydroclimate states The economics of managing water crises Benchmark worst droughts during the summer monsoon in India Status and prospects for drought forecasting: opportunities in artificial intelligence and hybrid physical–statistical forecasting
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