Identification and Variability Analysis of New Homogeneous Summer Monsoon Rainfall Regions Over India by Using K-Means Clustering Technique

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
P. P. Sreekala, C. A. Babu
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引用次数: 0

Abstract

The identification of new homogeneous Indian summer monsoon rainfall regions is important for both research and operational forecasting purposes. The homogeneous rainfall regions used by the India Meteorological Department include areas that are actually dissimilar in terms of both the amount of rainfall and its variability. In the present study, we have identified three primary clusters of homogenous summer monsoon rainfall zones (low, medium and high rainfall) of India by using K-means clustering technique and Calinski–Harabasz (CH) index. The identified clusters are again subdivided based on the distance between the clusters into six homogenous rainfall zones such as Southeast India (SI), West India (WI), Central India (CI), West Coast of India (WC), Northeast India1&2 (NE1 & NE2). Summer monsoon rainfall exhibit a positive trend over the western and southern region of India (SI, WC, and WI) while the eastern part of India (CI, NE1 and NE2) exhibit a negative trend. The increased sea surface temperature of tropical north Atlantic during May is conducive for the enhanced summer monsoon rainfall activity over low rainfall zone (Southeast India and West India). Tropical North Atlantic SST during May is related with the subsequent warming of Indo Pacific Ocean and cooling of Central Pacific Ocean, which induces southeasterlies towards Indian region and strengthen the rainfall activity over SI and WI. The position and intensity of the upper-level circulations have profound impact on the interannual variability of rainfall over different homogenous regions. Above-normal rainfall over SI and WI (CI and WC) is enhanced by the upper-level anticyclonic (cyclonic) circulation in Bay of Bengal (West Asia), which extends north westward (south eastward) to the Indian landmass. Indian Ocean warming during May is associated with above (below) normal rainfall over NE2 region (the eastern part of CI). Southern Ocean SST during May is significantly correlated with the rainfall over southwest coast of India, which is also indicated by the positive correlation between April southern Annular Mode and south west coast rainfall. Sea surface temperature during May in different ocean basins can be used as the potential predictors for improving the long-range forecast of seasonal rainfall over newly identified homogenous rainfall zones.

Abstract Image

基于k -均值聚类技术的印度夏季风新均匀雨区识别与变率分析
确定新的均匀的印度夏季风降雨区域对于研究和业务预报都很重要。印度气象部门使用的均匀降雨区域包括在降雨量和变异性方面实际上不同的地区。本文采用K-means聚类技术和Calinski-Harabasz (CH)指数,确定了印度夏季季风降水同质区(低、中、高)的三个主要聚类。根据集群之间的距离,将已识别的集群再次细分为六个均匀降雨区,如东南印度(SI),西印度(WI),印度中部(CI),印度西海岸(WC),印度东北部(NE1 &2)。NE2)。夏季季风降水在印度西部和南部地区(SI、WC和WI)表现为正趋势,而印度东部地区(CI、NE1和NE2)表现为负趋势。5月热带北大西洋海温升高有利于低雨区(东南印度和西印度)夏季风降水活动的增强。5月热带北大西洋海温与随后的印度洋太平洋变暖和中太平洋变冷有关,引起印度地区东南偏南风,加强了SI和WI上的降雨活动。高层环流的位置和强度对不同均质区降水的年际变化有着深刻的影响。孟加拉湾(西亚)的上层反气旋(气旋)环流加强了西太平洋和西太平洋(CI和WC)的超常降雨,该环流向西北方向(东南向东)延伸至印度大陆。5月印度洋变暖与NE2地区(印度洋东部)高于(低于)正常降雨量有关。5月南大洋海温与印度西南海岸降水显著相关,4月南环模与西南海岸降水正相关。不同洋盆5月海表温度可作为新确定的均质雨带季节性降水长期预报的潜在预测因子。
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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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