Articles | Volume 23, issue 3
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.
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
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Sarah Sparrow
Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK
Sarah F. Kew
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Karin van der Wiel
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Niko Wanders
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA
Roop Singh
Red Cross Red Crescent Climate Centre, The Hague, the Netherlands
Ahmadul Hassan
Red Cross Red Crescent Climate Centre, The Hague, the Netherlands
Khaled Mohammed
Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK
Hammad Javid
Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK
Environmental Change Institute, Oxford University Centre for the Environment, Oxford, UK
Karsten Haustein
Environmental Change Institute, Oxford University Centre for the Environment, Oxford, UK
Friederike E. L. Otto
Environmental Change Institute, Oxford University Centre for the Environment, Oxford, UK
Feyera Hirpa
School of Geography and the Environment, University of Oxford, Oxford, UK
Ruksana H. Rimi
Environmental Change Institute, Oxford University Centre for the Environment, Oxford, UK
A. K. M. Saiful Islam
Institute of Water and Flood Management,
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
David C. H. Wallom
Oxford e-Research Centre, Department of Engineering Science, University of Oxford, Oxford, UK
Geert Jan van Oldenborgh
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
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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: 01 Jun 2023
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...
