Peak Rainfall Seasonality and Its Changes Influenced by Monsoons in India

IF 2.8 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Chingka Kalai, N. K. Goel
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引用次数: 0

Abstract

Seasonality of peak rainfall finds its application in several water resource activities such as deciding the timing of agriculture, regulation of water control structure, predicting the timing of floods; and understanding the lag between rainfall and floods. In a country like India, rainfall (which is the primary source of water) is influenced by different monsoon patterns, causing a disparity in its seasonality, thus, understanding the timing of the peak rainfall and its changes becomes crucial for water resources management. Here, the circular statistical approach is employed to understand the characteristics of peak rainfall (PRF) seasonality in India. It is observed that the western coast and central parts are influenced by the southwest monsoon (June–September) yielding strong seasonality. While, dominance of the northeast monsoon (October–December) is observed along the eastern coast with moderate to strong seasonality moving from north to south. The region lying between the west and the east coast is influenced by both southwest and northeast monsoons yielding bimodal seasonality of PRF. Also, northeast India is found to be influenced by both monsoon patterns. A weak seasonality of PRF is observed in the northern parts that are influenced by several factors like southwest monsoon, northeast monsoon, and snowfall (December–April). Three existing tests along with the proposed modified versions of Pettitt and Mann–Kendall tests are applied to detect changes in the seasonality of PRF. Grids identified with changes at 5% and 10% significance levels considering these tests showed significant differences in mean date and resultant length, and gradual shift in the dates of PRF. The analysis demonstrates the necessity of distinct water resource planning for different Indian regions. Also, changes in the timings of PRF implicate the effect of climate change, which demonstrates the need for a revision in water resources planning and management.

Abstract Image

印度季风影响下的峰值降水季节及其变化
峰值降水的季节性特征在确定农业生产时机、调节水利结构、预测洪水发生时机等水资源活动中得到了应用;了解降雨和洪水之间的滞后。在印度这样的国家,降雨(水的主要来源)受到不同季风模式的影响,造成其季节性的差异,因此,了解峰值降雨的时间及其变化对水资源管理至关重要。本文采用循环统计方法来了解印度的峰值降雨(PRF)季节性特征。西海岸和中部地区受西南季风(6 - 9月)的影响,季节性较强。东部沿海以东北季风(10 - 12月)为主,从北向南有中等至强烈的季节性。位于东西海岸之间的地区受西南季风和东北季风的影响,产生PRF的双峰季节性。此外,发现印度东北部受到两种季风模式的影响。北部地区PRF的季节性较弱,受西南季风、东北季风和降雪等因素的影响(12 - 4月)。现有的三个检验以及提出的修改版本的Pettitt和Mann-Kendall检验被用于检测PRF的季节性变化。考虑到这些测试,以5%和10%显著性水平变化确定的网格显示平均日期和最终长度的显着差异,以及PRF日期的逐渐变化。分析表明,印度不同地区有必要进行不同的水资源规划。此外,PRF时间的变化涉及气候变化的影响,这表明需要修订水资源规划和管理。
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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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