Shifts in wetness pattern and periodicity across Tripura state in north east India

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
MAUSAM Pub Date : 2023-12-31 DOI:10.54302/mausam.v75i1.4536
Saurav Saha, Gulav Singh Yadav, Dhiman Daschaudhuri, Mrinmoy Datta, Debasish Chakraborty, Sandip Sadhu, Bappa Das, Samik Chowdhury, V. Dayal, Anup Das, Basant Kandpal, Ingudam Shakuntala
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引用次数: 0

Abstract

Region wetness variability was assessed across the Tripura state of North east India (1971 to 2016). Multiple Change point detection tests confirmed the high degree of spatiotemporal variability for the identified shifts in wetness pattern over study period. The periodicity of different wetness time-series varied between 2-128 months for the calculated SPI time scales over variable time series for the selected rain gauge stations. The periodicity pattern became more prominent with an increasing temporal domain of calculated SPI time series. Hierarchical clustering and Principle component analysis (PCA) accounted for the variability in randomness, trend and periodicity of all the SPI time series. Our present study identified the homogeneous clusters of raingauge stations suitable for real-time drought monitoring and reversible use of missing dataset on rainfall in near future across the Tripura state.
印度东北部特里普拉邦各地潮湿模式和周期的变化
对印度东北部特里普拉邦的地区湿度变化进行了评估(1971 年至 2016 年)。多重变化点检测测试证实,在研究期间发现的湿度模式变化具有高度的时空变异性。在所选雨量站的可变时间序列中,根据计算的 SPI 时间尺度,不同湿度时间序列的周期在 2-128 个月之间。随着计算的 SPI 时间序列时域的增加,周期模式变得更加突出。层次聚类和主成分分析(PCA)解释了所有 SPI 时间序列在随机性、趋势和周期性方面的差异。本研究确定了适用于实时干旱监测的同质雨量站群,以及在不久的将来对特里普拉邦缺失降雨数据集的可逆使用。
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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