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
| 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
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- Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal M. Maharjan et al. 10.1016/j.nhres.2024.01.001
- Attribution of the impacts of the 2008 flooding in Cedar Rapids (Iowa) to anthropogenic forcing G. Villarini et al. 10.1088/1748-9326/abc5e5
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- Economic impacts and nutritional outcomes of the 2017 floods in Bangladeshi Shodagor fishing families K. Starkweather et al. 10.1002/ajhb.23826
- Added Value of Large Ensemble Simulations for Assessing Extreme River Discharge in a 2 °C Warmer World K. van der Wiel et al. 10.1029/2019GL081967
- Coping and resilience in riverine Bangladesh P. Sultana et al. 10.1080/17477891.2019.1665981
42 citations as recorded by crossref.
- 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
- A probabilistic climate change assessment for Europe S. Moghim et al. 10.1002/joc.7604
- 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
- Local social-ecological context explains seasonal rural-rural migration of the poorest in south-west Bangladesh L. Clech et al. 10.1371/journal.pclm.0000239
- An unusual 2019 Indian summer monsoon. A glimpse of climate change? V. Bhargavi et al. 10.1007/s00704-024-04928-4
- 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
- Attribution assessment of hydrological trends and extremes to climate change for Northern high latitude catchments in Norway X. Yang & S. Huang 10.1007/s10584-023-03615-z
- 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
- Possible role of anthropogenic climate change in the record-breaking 2020 Lake Victoria levels and floods R. Pietroiusti et al. 10.5194/esd-15-225-2024
- Forging a sustainable future for astronomy L. Burtscher et al. 10.1038/s41550-021-01486-x
- Quantifying the relative contributions of climate change and ENSO to flood occurrence in Bangladesh S. Uddin et al. 10.1088/1748-9326/acfa11
- Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story R. Rimi et al. 10.5194/hess-26-5737-2022
- Challenges in the attribution of river flood events P. Scussolini et al. 10.1002/wcc.874
- Decadal to centennial extreme precipitation disaster gaps — Long-term variability and implications for extreme value modelling J. Zeder & E. Fischer 10.1016/j.wace.2023.100636
- 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
- On the role of climate change in the 2018 flooding event in Kerala M. Dhasmana et al. 10.1088/1748-9326/ace6c0
- 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
- Role of organizations in preparedness and emergency response to flood disaster in Bangladesh B. Hossain 10.1186/s40677-020-00167-7
- Experimental Investigation of Flood Energy Dissipation by Single and Hybrid Defense System A. Ahmed & A. Ghumman 10.3390/w11101971
- Harbingers of decades of unnatural disasters F. Otto & E. Raju 10.1038/s43247-023-00943-x
- Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling M. Faruk & K. Maharjan 10.3390/w14193080
- Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations M. Uz et al. 10.1016/j.scitotenv.2022.154701
- Attribution of the human influence on heavy rainfall associated with flooding events during the 2012, 2016, and 2018 March-April-May seasons in Kenya J. Kimutai et al. 10.1016/j.wace.2022.100529
- When don’t we need a new extreme event attribution study? B. Clarke et al. 10.1007/s10584-023-03521-4
- Extreme weather events (EWEs)-Related health complications in Bangladesh: A gender-based analysis on the 2017 catastrophic floods T. Jerin et al. 10.1016/j.nhres.2023.10.006
- 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
- Large increases of multi-year droughts in north-western Europe in a warmer climate K. van der Wiel et al. 10.1007/s00382-022-06373-3
- The March 2012 Heat Wave in Northeast America as a Possible Effect of Strong Solar Activity and Unusual Space Plasma Interactions G. Anagnostopoulos et al. 10.3390/atmos13060926
- The KNMI Large Ensemble Time Slice (KNMI–LENTIS) L. Muntjewerf et al. 10.5194/gmd-16-4581-2023
- Increasing 2020‐Like Boreal Summer Rainfall Extremes Over Northeast Indian Subcontinent Under Greenhouse Warming H. Tang et al. 10.1029/2021GL096377
- 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
- Attribution of Extreme Events to Climate Change F. Otto 10.1146/annurev-environ-112621-083538
- 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
- Flood susceptibility assessment using machine learning approach in the Mohana-Khutiya River of Nepal M. Maharjan et al. 10.1016/j.nhres.2024.01.001
- 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
- Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent J. Hoch et al. 10.5194/hess-27-1383-2023
- Pathways and pitfalls in extreme event attribution G. van Oldenborgh et al. 10.1007/s10584-021-03071-7
- Economic impacts and nutritional outcomes of the 2017 floods in Bangladeshi Shodagor fishing families K. Starkweather et al. 10.1002/ajhb.23826
Latest update: 19 Apr 2024
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...
