2023
DOI: 10.1016/j.mex.2023.102058
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Study the seasonal trend analysis and probability distribution functions of rainfall for atmospheric region of Pakistan

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Cited by 5 publications
(2 citation statements)
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“…Sarfaraz [20] and Naheed et al [21] research uncovers two main precipitation seasons in Pakistan in where summer and winter monsoons that affecting distinct regions. Trend analysis aids in understanding water resources and assessing rainfall impact, Yonus et al [22]. A continuous probabilistic model simulated catchment-scale water transport, investigating the impact of spatial rainfall variability on streamflow distribution tail heaviness in five catchments of varying sizes and shapes.…”
Section: Introductionmentioning
confidence: 99%
“…Sarfaraz [20] and Naheed et al [21] research uncovers two main precipitation seasons in Pakistan in where summer and winter monsoons that affecting distinct regions. Trend analysis aids in understanding water resources and assessing rainfall impact, Yonus et al [22]. A continuous probabilistic model simulated catchment-scale water transport, investigating the impact of spatial rainfall variability on streamflow distribution tail heaviness in five catchments of varying sizes and shapes.…”
Section: Introductionmentioning
confidence: 99%
“…The advantages of employing multiple probability distributions to describe daily rainfall may be better understood by looking at changes in precipitation patterns that occur in different locations of the globe, which can give a helpful insight into those benefits. Extensive research on this subject has been conducted by a community of scientists from all over the world in locations such as Bangladesh (Alam et al [ 1 ]), Ethiopia (Liyew and Melese [ 2 ]), Costa Rica (Altman et al [ 3 ]), Nagpur (India) (Mohanty et al [ 4 ]), China (Chen et al [ 5 ]), Pakistan (Yonus et al [ 6 ]), Europe (Wouters et al [ 7 ]), Colombia (Correa et al [ 8 ]), Saudi Arabia (Hasanean and Almazroui [ 9 ]), Brazil (Beskow et al [ 10 ]), Pakistan (Amin et al [ 11 ]), Egypt (Gado et al [ 12 ]), and many others.…”
Section: Introductionmentioning
confidence: 99%