Seasonal and annual rainfall data of the stations: Akluj, Baramati, Bhor and Malsiras stations lo-cated in Nira Basin, Central India, were analyzed for studying trend and periodicity using 104 years ’ rainfall data. The analysis was carried out by using Mann-Kendall (MK), Modified Mann-Kendall (MMK) and Theil and Sen’s slope estimator tests describing rising trend at all the stations. However, it is statistically significant at Akluj and Bhor stations at 10 % significance level. Bhor station showed the maximum increase in percentage change i.e. 0.28 % in annual rainfall. Monsoon and post-monsoon seasonal rainfall shows a rising trend while the summer and winter seasonal rainfall shows a falling trend. Wavelet analysis showed prominent annua...
The current study focuses on the altering historical rainfall data analysis and its variability in K...
The analysis of rainfall for agricultural purposes must include information concerning the trends or...
A quantitative and qualitative understanding of the anticipated climate-change-driven multi-scale sp...
The current study is carried out to determine the potential trend of rainfall and assess its signifi...
The study investigates rainfall trends and variability of seasonal and annual of 20 IMD stations of ...
In recent times, trend analysis and change point detection in hydroclimatic variables receiving sign...
Trends and periodicities in the annual rainfall of 31 meteorological sub-divisions of India based on...
The present study deals with the estimation of dependences, spatio-temporal trends, change points, a...
A study of Precipitation trend analysis for total monthly rainfall over Surat District has been made...
New monthly, seasonal and annual rainfall time series of 36 meteorological subdivisions of India wer...
Not AvailableKnowledge of rainfall variability is important for regional-scale planning and manageme...
The current study was conducted to examine the impact of climate change on rainfall in Jharkhand sta...
Change point detection and trend analysis are the adopted techniques of time series analysis. We hav...
The most pressing issue in India right now is the shift in the climate and the pattern of rainfall. ...
Trend analysis of long-term rainfall records can be used to facilitate better agriculture water mana...
The current study focuses on the altering historical rainfall data analysis and its variability in K...
The analysis of rainfall for agricultural purposes must include information concerning the trends or...
A quantitative and qualitative understanding of the anticipated climate-change-driven multi-scale sp...
The current study is carried out to determine the potential trend of rainfall and assess its signifi...
The study investigates rainfall trends and variability of seasonal and annual of 20 IMD stations of ...
In recent times, trend analysis and change point detection in hydroclimatic variables receiving sign...
Trends and periodicities in the annual rainfall of 31 meteorological sub-divisions of India based on...
The present study deals with the estimation of dependences, spatio-temporal trends, change points, a...
A study of Precipitation trend analysis for total monthly rainfall over Surat District has been made...
New monthly, seasonal and annual rainfall time series of 36 meteorological subdivisions of India wer...
Not AvailableKnowledge of rainfall variability is important for regional-scale planning and manageme...
The current study was conducted to examine the impact of climate change on rainfall in Jharkhand sta...
Change point detection and trend analysis are the adopted techniques of time series analysis. We hav...
The most pressing issue in India right now is the shift in the climate and the pattern of rainfall. ...
Trend analysis of long-term rainfall records can be used to facilitate better agriculture water mana...
The current study focuses on the altering historical rainfall data analysis and its variability in K...
The analysis of rainfall for agricultural purposes must include information concerning the trends or...
A quantitative and qualitative understanding of the anticipated climate-change-driven multi-scale sp...