Flash Drought Teleconnection With the Large-Scale Climate Drivers in the Homogeneous Rainfall Regions of India

IF 2.8 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES International Journal of Climatology Pub Date : 2024-12-09 DOI:10.1002/joc.8711
Akshay Pachore, Renji Remesan, Jayanarayanan Kuttippurath
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Abstract

Flash drought events can be characterised by the quick depletion of crop root zone soil moisture (rapid intensification) and hence can be termed as agricultural flash droughts. These events can have devastating impacts, such as increasing the risk of agricultural yield loss, heatwaves and increased wildfire risk, which further have cascading impacts on the socio-economic conditions. The regional hotspots of flash droughts are analysed for winter, pre-monsoon, monsoon and post-monsoon seasons over India from 1981 to 2020. We assess the impact of the El Niño-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) on the flash drought frequency (FDF: number of flash drought events). The causal connection of the FDF with the ENSO and IOD is analysed using the PCMCI (Peter and Clark's algorithm combined with the Momentary Conditional Independence) algorithm. The monsoon season (June–September) is found to be more prone to flash droughts with higher spatial/regional average values of total per pixel FDF during the 40-year period over the Central Northeast (~54) and West Central (~41) regions. It is observed that the fraction of the total number of flash droughts during the El Niño years (38.8%) is higher as compared with that in La Niña years (25.7%). It is also found that the co-occurrence of positive/negative IOD with the El Niño phase can alter the seasonal fraction of FDF over India, highlighting the high complexity in the ENSO–IOD interactions. The causal analysis shows that only the Southern Peninsula and West Central regions have significant direct and lagged causal links of average per pixel FDF with IOD. Whereas, similar (direct and lagged) causal connections are observed between the ENSO and IOD. This study reveals that flash droughts and their teleconnections vary greatly among the seasons and regions in India, limiting its accurate predictions and increasing the risk to agricultural communities.

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印度均匀雨区突发性干旱与大尺度气候驱动因子的遥相关
突发性干旱事件的特点是作物根区土壤水分迅速枯竭(迅速加剧),因此可称为农业突发性干旱。这些事件可能产生破坏性影响,例如增加农业产量损失、热浪和野火风险,从而进一步对社会经济状况产生连锁影响。分析了1981 - 2020年印度冬季、季风前、季风和季风后季节突发性干旱的区域热点。我们评估了厄尔尼诺Niño-Southern涛动(ENSO)和印度洋偶极子(IOD)对闪干旱频率(FDF:闪干旱事件数)的影响。使用PCMCI (Peter和Clark的算法结合瞬时条件独立)算法分析了FDF与ENSO和IOD的因果关系。季风季节(6 - 9月)东北中部地区(~54)和中西部地区(~41)的总每像元FDF空间/区域平均值较高,更容易发生突发性干旱。结果表明,El Niño年突发性干旱占总干旱次数的比例(38.8%)高于La Niña年(25.7%)。研究还发现,与El Niño相同时出现的正/负IOD可以改变印度上空FDF的季节分数,突出了ENSO-IOD相互作用的高度复杂性。因果分析表明,只有南部半岛和中西部地区的平均每像元FDF与IOD存在显著的直接因果关系和滞后因果关系。然而,在ENSO和IOD之间观察到类似的(直接和滞后的)因果关系。这项研究表明,印度不同季节和地区的突发性干旱及其遥相关程度差异很大,限制了其准确预测,并增加了农业社区面临的风险。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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