Articles | Volume 26, issue 22
https://doi.org/10.5194/hess-26-5737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-5737-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Nov 2022
Research article |
| 15 Nov 2022
| 15 Nov 2022
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh
Karsten Haustein
CORRESPONDING AUTHOR
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
Department of Meteorology, University Leipzig, Stephanstr. 3, 04103 Leipzig, Germany
Emily J. Barbour
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
Commonwealth Scientific and Industrial Research Organisation, Land and Water, Canberra, ACT 2601, Australia
Sarah N. Sparrow
Department of Engineering Science, Oxford e-Research Centre, University of Oxford, Oxford, OX1 3QG, UK
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
Department of Engineering Science, Oxford e-Research Centre, University of Oxford, Oxford, OX1 3QG, UK
David C. H. Wallom
Department of Engineering Science, Oxford e-Research Centre, University of Oxford, Oxford, OX1 3QG, UK
Myles R. Allen
Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
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Cited
10 citations as recorded by crossref.
- Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh A. Dey & M. Patwary 10.1007/s00477-025-02969-3
- Coupling and coordination of rainfall erosivity and aerosols in the Pearl River Basin under multiple shared socio-economic pathways Z. Cao et al. 10.1007/s00704-024-05001-w
- Future spatiotemporal inequality of precipitation extreme in monsoon-driven country using Gini coefficient and random forest model Q. Li et al. 10.1007/s00704-025-05616-7
- Spatial and temporal variability of future extreme precipitation in Bangladesh using CMIP6 models R. Mishu et al. 10.2166/wcc.2025.415
- Climate change quadruples flood‐causing extreme monsoon rainfall events in Bangladesh and northeast India A. Fahad et al. 10.1002/qj.4645
- Understanding urban flood risk perception and its determinants across diverse hazard sources H. Waseem & I. Rana 10.1080/1573062X.2025.2574877
- Climate change research, capacity building and communication on climate extremes over South Asia S. Ali et al. 10.30852/sb.2024.2492
- Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches P. Paramaguru et al. 10.1007/s00704-023-04556-4
- Exploring Future Changes of Rainfall across Bangladesh Using the Optimal Bias-corrected CMIP6 GCM Model A. Bhattacharjee et al. 10.1007/s41748-025-00579-1
- Attributing the 2017 Bangladesh floods from meteorological and hydrological perspectives S. Philip et al. 10.5194/hess-23-1409-2019
9 citations as recorded by crossref.
- Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh A. Dey & M. Patwary 10.1007/s00477-025-02969-3
- Coupling and coordination of rainfall erosivity and aerosols in the Pearl River Basin under multiple shared socio-economic pathways Z. Cao et al. 10.1007/s00704-024-05001-w
- Future spatiotemporal inequality of precipitation extreme in monsoon-driven country using Gini coefficient and random forest model Q. Li et al. 10.1007/s00704-025-05616-7
- Spatial and temporal variability of future extreme precipitation in Bangladesh using CMIP6 models R. Mishu et al. 10.2166/wcc.2025.415
- Climate change quadruples flood‐causing extreme monsoon rainfall events in Bangladesh and northeast India A. Fahad et al. 10.1002/qj.4645
- Understanding urban flood risk perception and its determinants across diverse hazard sources H. Waseem & I. Rana 10.1080/1573062X.2025.2574877
- Climate change research, capacity building and communication on climate extremes over South Asia S. Ali et al. 10.30852/sb.2024.2492
- Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches P. Paramaguru et al. 10.1007/s00704-023-04556-4
- Exploring Future Changes of Rainfall across Bangladesh Using the Optimal Bias-corrected CMIP6 GCM Model A. Bhattacharjee et al. 10.1007/s41748-025-00579-1
1 citations as recorded by crossref.
Latest update: 27 Oct 2025
Short summary
Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods...
