Long Term Spatiotemporal Variability in Rainfall Trends over the State of Jharkhand, India

Sharma, Shonam; Singh, Prasoon Kumar

doi:10.3390/cli5010018

Cited by 38 publications

(23 citation statements)

References 27 publications

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“…This is in agreement with the finding of [19], who determined positive Z-statistics value for pre-monsoon rainfall time series over the region of Ranchi district for the period of 1901-2014. This conformed to the findings of [20] who observed an increasing trend over the entire state of Jharkhand during pre-monsoon and post-monsoon precipitation while winter, monsoon and annual rainfall series demonstrated the decreasing rainfall trends during the time period of 102 years.…”

Section: Resul Ts and Discussionsupporting

confidence: 91%

Effect of Vegetation Cover on Pre-Monsoonal Rainfall Trend over Ranchi Region, Jharkhand, India

Jha,

Warwade,

Singh

2020

IJITEE

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In the present study, trend of changing rainfall pattern and its correlation with vegetation cover during premonsoonal season were determined for Ranchi district of Jharkhand for the last 20 years. In the year 1998 the western side of the district received a good amount of rainfall but the scenario after that was observed quite alarming. In the next 20 years the western region received very low rainfall except in the year of 2005 and 2014. While year 2005 received a good rainfall in south-western region of the district. Eastern region having a good amount of green cover received plenty of rainfall consistently in last two decade. The central part is the most urbanized zone of the study area having least green cover. This zone has never received good rainfall in last two decade. On the contrary despite of having good vegetation over the north-western side; the region never received good rainfall. The NonParametric trend analysis for last 20 years shows an overall increase in rainfall with 0.141625 mm . While the analysis for last 117 years showed a significant positive trend in pre-monsoonal month of February, March, and April while a negative trend was observed in May. The maximum decrease in rainfall was found in the month of February (-0.1804803 mm ) and minimum (-0.0007663818 mm ) during the month of April. The trend of rainfall during month of May was found increasing (0.1296284 mm ).While the overall trend of rainfall during pre-monsoonal season (MarchMay) was found increasing (0.02156622 mm ). Rainfall variability pattern showed the maximum value of CV as 105.7%, whereas pre-monsoonal rainfall showed the minimum value of CV as 60.52%. High variation of CV indicated that the study are is vulnerable to droughts and floods. Disturbance in uniformity of distribution in rainfall pattern and extreme event cases over the district during the pre-monsoonal season in last two decade was observed.

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Section: Resul Ts and Discussionsupporting

confidence: 91%

Effect of Vegetation Cover on Pre-Monsoonal Rainfall Trend over Ranchi Region, Jharkhand, India

Jha,

Warwade,

Singh

2020

IJITEE

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“…Coefficient r 1 is tested for its significance. The probability limits on the correlogram of an independent series of the two tailed test is given below [59].…”

Section: Serial Correlation Effectmentioning

confidence: 99%

Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019)

Gao

Wang

Chen

et al. 2020

Water

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Changes in rainfall play an important role in agricultural production, water supply and management, and social and economic development in arid and semi-arid regions. The objective of this study was to examine the trend of rainfall series from 18 meteorological stations for monthly, seasonal, and annual scales in Shanxi province over the period 1957–2019. The Mann–Kendall (MK) test, Spearman’s Rho (SR) test, and the Revised Mann–Kendall (RMK) test were used to identify the trends. Sen’s slope estimator (SSE) was used to estimate the magnitude of the rainfall trend. An autocorrelation function (ACF) plot was used to examine the autocorrelation coefficients at various lags in order to improve the trend analysis by the application of the RMK test. The results indicate remarkable differences with positive and negative trends (significant or non-significant) depending on stations. The largest number of stations showing decreasing trends occurred in March, with 10 out of 18 stations at the 10%, 5%, and 1% levels. Wutai Shan station has strong negative trends in January, March, April, November, and December at the level of 1%. In addition, Wutai Shan station also experienced a significant decreasing trend over four seasons at a significance level of 1% and 10%. On the annual scale, there was no significant trend detected by the three identification methods for most stations. MK and SR tests have similar power for detecting monotonic trends in rainfall time series data. Although similar results were obtained by the MK/SR and RMK tests in this study, in some cases, unreasonable trends may be provided by the RMK test. The findings of this study could benefit agricultural production activities, water supply and management, drought monitoring, and socioeconomic development in Shanxi province in the future.

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“…The major concern in the variation of the ISMR is that its spatiotemporal distribution is non-uniform, hence it's variability is independent of latitude or longitude. For example, in Gujarat, out of 16 stations, 11 stations had experienced increased in Summer monsoon rainfall (SMR) by 5% per decade since 1960 (Dave, 2017), while over Jharkhand, which is located at the same latitude as Gujarat, had shown the 15.65% reduction in ISMR for the same time period (Sharma and Singh, 2017). On the other hand, the southern parts of Western Ghats have shown signi cantly decreased in ISMR whereas the northern parts of Western-Ghats have encountered a signi cant increase in ISMR which lies almost in the same longitude (Rajendran et al,, 2012;Kothawale et al, 2017;Varikoden et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Reversal nature in rainfall pattern over the Indian heavy and low rainfall zones in the recent era

Barde

Sinha

Mohanty

et al. 2021

Theor Appl Climatol

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This study presents the reversal nature in rainfall over heavy rainfall zone (HRZ; more than 80% of the long-period average (LPA) of the Indian summer monsoon rainfall (ISMR)) and low rainfall zone (LRZ; less than 40% of ISMR-LPA) in India. The India Meteorological Department (IMD) high-resolution (0.25˚×0.25˚) dataset is used from 1901 to 2016. The single and multiple change point detection techniques are used to nd the change in rainfall pattern over both the regions. Further, the study period is divided into two halves P1 and P2 in order to study change in rainfall pattern in the recent and past periods. In P2, rainfall pattern gets reversed and interestingly ISMR has shown an increasing trend over LRZ and a decreasing trend is noticed over HRZ and the results are statistically signi cant. The increasing/decreasing number of moderate and high intensity rainfall events are the main cause for this reversal pattern. Additionally, the number of dry days is increased over the HRZ and deceased over the LRZ. This study further con rms that 'dry becomes drier and wet becomes wetter' paradigm is not solely acceptable for India. The present study provides information about changes in dry days and ISMR variability in the context of climate change, which will be useful to agricultural risk management, water resources, drought monitoring, model developers, and policy planer on the adaptation strategies for climate change.

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Long Term Spatiotemporal Variability in Rainfall Trends over the State of Jharkhand, India

Cited by 38 publications

References 27 publications

Effect of Vegetation Cover on Pre-Monsoonal Rainfall Trend over Ranchi Region, Jharkhand, India

Effect of Vegetation Cover on Pre-Monsoonal Rainfall Trend over Ranchi Region, Jharkhand, India

Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019)

Reversal nature in rainfall pattern over the Indian heavy and low rainfall zones in the recent era

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