<p>This study mainly investigated a 33-year (1990–2022) rainfall dataset to analyze rainfall characteristics and trends in different climatic seasons in Northern Bangladesh. Multiple rainfall indices like Rainfall Anomaly Index (RAI), Precipitation Concentration Index (PCI), Rainfall Seasonality Index (RSI) were used to find variability in rainfall in the region. Sreemangal station showed a more equitable and uniformly distributed rainfall pattern throughout the year (PCI: 15.8, RSI: 0.83). Winter rainfall showed the most substantial fluctuation when compared to both seasonal and yearly precipitation. The predominant non-parametric test such as Mann-Kendall (MK), Sen’s slope, Kendall’s tau and Sequential Mann-Kendall test indicated a declining trend in annual rainfall at nearly all of the stations, except Sylhet and Sreemangal stations. The result observed that, the annual rainfall in Syedpur station showed a significant decreasing rate of change 37.78&#xa0;mm/year. However, regarding seasonal rainfall patterns, only the monsoon season in Syedpur and Dinajpur exhibited a substantial declining tendency, with rates of change 16.04&#xa0;mm/year and 16.19&#xa0;mm/year, respectively. Additionally, Innovative tendency Analysis (ITA) revealed that Sylhet and Sreemangal stations showed a changing tendency, whereas Syedpur station disclosed a steady falling trend. The study highlights the necessity of regional investigation for assessing rainfall trends and advising climate-resilient initiatives in high-risk regions.</p>

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Long term rainfall observation using climatic indices and innovative trend methods in northern Bangladesh

  • Azhar Uddin,
  • J. M. Adeeb Salman Chowdhury,
  • Most. Asikha Aktar,
  • Md. Safayet Hossain,
  • Md. Abdullah Al Mamun

摘要

This study mainly investigated a 33-year (1990–2022) rainfall dataset to analyze rainfall characteristics and trends in different climatic seasons in Northern Bangladesh. Multiple rainfall indices like Rainfall Anomaly Index (RAI), Precipitation Concentration Index (PCI), Rainfall Seasonality Index (RSI) were used to find variability in rainfall in the region. Sreemangal station showed a more equitable and uniformly distributed rainfall pattern throughout the year (PCI: 15.8, RSI: 0.83). Winter rainfall showed the most substantial fluctuation when compared to both seasonal and yearly precipitation. The predominant non-parametric test such as Mann-Kendall (MK), Sen’s slope, Kendall’s tau and Sequential Mann-Kendall test indicated a declining trend in annual rainfall at nearly all of the stations, except Sylhet and Sreemangal stations. The result observed that, the annual rainfall in Syedpur station showed a significant decreasing rate of change 37.78 mm/year. However, regarding seasonal rainfall patterns, only the monsoon season in Syedpur and Dinajpur exhibited a substantial declining tendency, with rates of change 16.04 mm/year and 16.19 mm/year, respectively. Additionally, Innovative tendency Analysis (ITA) revealed that Sylhet and Sreemangal stations showed a changing tendency, whereas Syedpur station disclosed a steady falling trend. The study highlights the necessity of regional investigation for assessing rainfall trends and advising climate-resilient initiatives in high-risk regions.