Articles | Volume 23, issue 3
Hydrol. Earth Syst. Sci., 23, 1409–1429, 2019
https://doi.org/10.5194/hess-23-1409-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 1409–1429, 2019
https://doi.org/10.5194/hess-23-1409-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
13 Mar 2019
Research article
| Highlight paper
| 13 Mar 2019
Attributing the 2017 Bangladesh floods from meteorological and hydrological perspectives
Sjoukje Philip et al.
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Cited
21 citations as recorded by crossref.
- Experimental Investigation of Flood Energy Dissipation by Single and Hybrid Defense System A. Ahmed & A. Ghumman 10.3390/w11101971
- Determinants of Household-Level Coping Strategies and Recoveries from Riverine Flood Disasters: Empirical Evidence from the Right Bank of Teesta River, Bangladesh M. Mondal et al. 10.3390/cli9010004
- Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought D. Frame et al. 10.1007/s10584-020-02729-y
- Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh A. Alam et al. 10.1016/j.quaint.2020.04.047
- Household-level effects of providing forecast-based cash in anticipation of extreme weather events: Quasi-experimental evidence from humanitarian interventions in the 2017 floods in Bangladesh C. Gros et al. 10.1016/j.ijdrr.2019.101275
- OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting S. Sparrow et al. 10.5194/gmd-14-3473-2021
- The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises N. Watts et al. 10.1016/S0140-6736(20)32290-X
- Forging a sustainable future for astronomy L. Burtscher et al. 10.1038/s41550-021-01486-x
- Canadian Large Ensembles Adjusted Dataset version 1 (CanLEADv1): Multivariate bias‐corrected climate model outputs for terrestrial modelling and attribution studies in North America A. Cannon et al. 10.1002/gdj3.142
- NWP perspective of the extreme precipitation and flood event in Kerala (India) during August 2018 S. Mohandas et al. 10.1016/j.dynatmoce.2020.101158
- Event attribution of Parnaíba River floods in Northeastern Brazil C. Rudorff et al. 10.1002/cli2.16
- Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh M. Mondal et al. 10.1016/j.ijdrr.2020.101758
- Development of ecosystem‐based flood mitigation approach – investigations by experiments and numerical simulation K. Tariq et al. 10.1111/wej.12662
- The record 2017 flood in South Asia: State of prediction and performance of a data-driven requisitely simple forecast model W. Palash et al. 10.1016/j.jhydrol.2020.125190
- Attribution of the impacts of the 2008 flooding in Cedar Rapids (Iowa) to anthropogenic forcing G. Villarini et al. 10.1088/1748-9326/abc5e5
- A protocol for probabilistic extreme event attribution analyses S. Philip et al. 10.5194/ascmo-6-177-2020
- A review of the effects of climate change on riverine flooding in subtropical and tropical regions R. Eccles et al. 10.2166/wcc.2019.175
- Pathways and pitfalls in extreme event attribution G. van Oldenborgh et al. 10.1007/s10584-021-03071-7
- Role of organizations in preparedness and emergency response to flood disaster in Bangladesh B. Hossain 10.1186/s40677-020-00167-7
- Added Value of Large Ensemble Simulations for Assessing Extreme River Discharge in a 2 °C Warmer World K. Wiel et al. 10.1029/2019GL081967
- Coping and resilience in riverine Bangladesh P. Sultana et al. 10.1080/17477891.2019.1665981
19 citations as recorded by crossref.
- Experimental Investigation of Flood Energy Dissipation by Single and Hybrid Defense System A. Ahmed & A. Ghumman 10.3390/w11101971
- Determinants of Household-Level Coping Strategies and Recoveries from Riverine Flood Disasters: Empirical Evidence from the Right Bank of Teesta River, Bangladesh M. Mondal et al. 10.3390/cli9010004
- Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought D. Frame et al. 10.1007/s10584-020-02729-y
- Flash flood susceptibility assessment using the parameters of drainage basin morphometry in SE Bangladesh A. Alam et al. 10.1016/j.quaint.2020.04.047
- Household-level effects of providing forecast-based cash in anticipation of extreme weather events: Quasi-experimental evidence from humanitarian interventions in the 2017 floods in Bangladesh C. Gros et al. 10.1016/j.ijdrr.2019.101275
- OpenIFS@home version 1: a citizen science project for ensemble weather and climate forecasting S. Sparrow et al. 10.5194/gmd-14-3473-2021
- The 2020 report of The Lancet Countdown on health and climate change: responding to converging crises N. Watts et al. 10.1016/S0140-6736(20)32290-X
- Forging a sustainable future for astronomy L. Burtscher et al. 10.1038/s41550-021-01486-x
- Canadian Large Ensembles Adjusted Dataset version 1 (CanLEADv1): Multivariate bias‐corrected climate model outputs for terrestrial modelling and attribution studies in North America A. Cannon et al. 10.1002/gdj3.142
- NWP perspective of the extreme precipitation and flood event in Kerala (India) during August 2018 S. Mohandas et al. 10.1016/j.dynatmoce.2020.101158
- Event attribution of Parnaíba River floods in Northeastern Brazil C. Rudorff et al. 10.1002/cli2.16
- Assessing the flood risk of riverine households: A case study from the right bank of the Teesta River, Bangladesh M. Mondal et al. 10.1016/j.ijdrr.2020.101758
- Development of ecosystem‐based flood mitigation approach – investigations by experiments and numerical simulation K. Tariq et al. 10.1111/wej.12662
- The record 2017 flood in South Asia: State of prediction and performance of a data-driven requisitely simple forecast model W. Palash et al. 10.1016/j.jhydrol.2020.125190
- Attribution of the impacts of the 2008 flooding in Cedar Rapids (Iowa) to anthropogenic forcing G. Villarini et al. 10.1088/1748-9326/abc5e5
- A protocol for probabilistic extreme event attribution analyses S. Philip et al. 10.5194/ascmo-6-177-2020
- A review of the effects of climate change on riverine flooding in subtropical and tropical regions R. Eccles et al. 10.2166/wcc.2019.175
- Pathways and pitfalls in extreme event attribution G. van Oldenborgh et al. 10.1007/s10584-021-03071-7
- Role of organizations in preparedness and emergency response to flood disaster in Bangladesh B. Hossain 10.1186/s40677-020-00167-7
Latest update: 07 Aug 2022
Short summary
In August 2017 Bangladesh faced one of its worst river flooding events in recent history. For the large Brahmaputra basin, using precipitation alone as a proxy for flooding might not be appropriate. In this paper we explicitly test this assumption by performing an attribution of both precipitation and discharge as a flooding-related measure to climate change. We find the change in risk to be of similar order of magnitude (between 1 and 2) for both the meteorological and hydrological approach.
In August 2017 Bangladesh faced one of its worst river flooding events in recent history. For...
