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Climate change-induced influences on the nonlinear dynamic patterns of precipitation and temperatures (case study: Central England)

Rahmani, Farhang ; Fattahi, Mohammad Hadi

Theoretical and applied climatology, 2023-05, Vol.152 (3-4), p.1147-1158 [Peer Reviewed Journal]

Vienna: Springer Vienna

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Title:
Climate change-induced influences on the nonlinear dynamic patterns of precipitation and temperatures (case study: Central England)
Author: Rahmani, Farhang ; Fattahi, Mohammad Hadi
Subjects: Analysis ; Aquatic Pollution ; Aquatic resources ; Atmospheric Protection/Air Quality Control/Air Pollution ; Atmospheric Sciences ; Case studies ; Climate change ; Climate change influences ; Climate science ; Climatology ; Daily ; Drought ; Earth and Environmental Science ; Earth Sciences ; Environmental impact ; Global temperature changes ; Hydrologic data ; Management ; Maximum temperatures ; Minimum temperatures ; Monthly ; Nonlinear dynamics ; Precipitation ; Precipitation (Meteorology) ; Precipitation data ; Precipitation-temperature relationships ; Probability density function ; Probability density functions ; Probability theory ; Temperature ; Temperature patterns ; Waste Water Technology ; Water ; Water damage ; Water Management ; Water Pollution Control ; Water resources ; Water resources management
Is Part Of: Theoretical and applied climatology, 2023-05, Vol.152 (3-4), p.1147-1158
Description: The study of shifts in patterns of precipitation and temperatures is central to managing water resources and controlling damages yielded by natural hazards. Thus, this study investigated modifications in precipitation and temperature patterns using multifractal detrended fluctuation analysis and shuffling technique. The novelty of this study lies in exploring the influence of climate change on precipitation and temperatures from a novel nonlinear dynamic perspective. The temperatures and precipitation data regarding central England (1931–2019) were analyzed by multifractal theory. The results demonstrated that the sources of precipitation and temperature multifractal patterns altered owing to climate change on the daily and monthly scales. Concerning maximum temperature ( T max ), on a daily scale, multifractal patterns with probability density function (PDF) origin were intensified, whereas, on a monthly scale, multifractal patterns with long-range correlations (LRC) source were amplified. Regarding precipitation and minimum temperature ( T min ), on a daily scale, multifractal patterns with LRC origin were strengthened, whereas, on a monthly scale, multifractal patterns with PDF source were augmented. On a daily scale, multifractality of precipitation and T max increased by 85.66% and 87.37%, respectively, and regarding T min , decreased by 7.28%. The multifractal patterns of precipitation were dependent on the T min multifractal patterns. It was concluded that alterations in drought and flood patterns were consequences of variations in the multifractal source of T min patterns. The present study contributes to understanding the mechanism of climate change impacts on multifractal patterns of precipitation and temperatures and furnished references for multifractal studies of precipitation and temperatures.
Publisher: Vienna: Springer Vienna
Language: English

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Climate change-induced influences on the nonlinear dynamic patterns of precipitation and temperatures (case study: Central England)

Rahmani, Farhang ; Fattahi, Mohammad Hadi

Vienna: Springer Vienna

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