Bushra et al. (2026) Influence of Climate Drivers on Extreme Precipitation in Bangladesh: Spatiotemporal Patterns and Underlying Mechanisms

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Journal of Climatology
• Year: 2026
• Date: 2026-04-04
• Authors: Anika Bushra, AA Mamun, Abu Reza Md. Towfiqul Islam
• DOI: 10.1002/joc.70362

Research Groups

Not specified in the abstract.

Short Summary

This study analyzed daily precipitation data from 1980-2017 across Bangladesh to investigate spatiotemporal trends in extreme precipitation indices (EPIs) and their linkages with large-scale climate drivers, revealing increasing dry spells and heavy rainfall frequencies alongside declining wet-day intensity, influenced by factors like ENSO and IOD.

Objective

• To investigate the spatiotemporal variability of extreme precipitation indices (EPIs) in Bangladesh.
• To identify and analyze the linkages between these EPIs and large-scale climate drivers.

Study Configuration

• Spatial Scale: Bangladesh, with regional variations analyzed across 20 meteorological stations.
• Temporal Scale: 38 years (1980–2017) for daily precipitation data.

Methodology and Data

• Models used: Statistical models for trend and change point detection (Mann-Kendall trend test, Sen's slope estimator), and climate teleconnection analysis (Mantel tests, Geo-Detector modelling, Partial Wavelet Coherence (PWC) analysis).
• Data sources: Daily precipitation data from 20 meteorological stations (observational data).

Main Results

• Among eight EPIs, consecutive dry days (CDD), annual maximum 5-day precipitation (RX5DAY), and the frequency of heavy rainfall days (R10 and R30) showed increasing trends.
• Consecutive wet days (CWD), the simple daily intensity index (SDII), annual total wet-day precipitation (PRCPTOT), and maximum 1-day precipitation (RX1DAY) exhibited declining tendencies.
• Abrupt change points were identified: CDD in 1997, R10 and R30 in 2004, and CWD, SDII, and RX1DAY around 1988.
• Spatially, precipitation frequency and intensity are highest in the northeastern and southeastern regions, particularly along the coastal belt.
• Key climatic drivers influencing monsoon dynamics and moisture transport include the Indian Ocean Dipole (IOD), El Niño-Southern Oscillation (ENSO), Arctic Oscillation (AO), and SUNSPOT activity.
• ENSO showed positive influences on rainfall frequency, while AO and SUNSPOT activity were negatively associated with precipitation intensity.

Contributions

• Enhances the understanding of hydroclimatic extremes and their spatiotemporal variability in Bangladesh.
• Provides a scientific basis for developing adaptive water resources management strategies and flood risk mitigation measures in the region.

Funding

Not specified in the abstract.

Citation

@article{Bushra2026Influence,
  author = {Bushra, Anika and Mamun, AA and Islam, Abu Reza Md. Towfiqul},
  title = {Influence of Climate Drivers on Extreme Precipitation in Bangladesh: Spatiotemporal Patterns and Underlying Mechanisms},
  journal = {International Journal of Climatology},
  year = {2026},
  doi = {10.1002/joc.70362},
  url = {https://doi.org/10.1002/joc.70362}
}