Literature DB >> 25331867

Strong influence of El Niño Southern Oscillation on flood risk around the world.

Philip J Ward1, Brenden Jongman2, Matti Kummu3, Michael D Dettinger4, Frederiek C Sperna Weiland5, Hessel C Winsemius5.   

Abstract

El Niño Southern Oscillation (ENSO) is the most dominant interannual signal of climate variability and has a strong influence on climate over large parts of the world. In turn, it strongly influences many natural hazards (such as hurricanes and droughts) and their resulting socioeconomic impacts, including economic damage and loss of life. However, although ENSO is known to influence hydrology in many regions of the world, little is known about its influence on the socioeconomic impacts of floods (i.e., flood risk). To address this, we developed a modeling framework to assess ENSO's influence on flood risk at the global scale, expressed in terms of affected population and gross domestic product and economic damages. We show that ENSO exerts strong and widespread influences on both flood hazard and risk. Reliable anomalies of flood risk exist during El Niño or La Niña years, or both, in basins spanning almost half (44%) of Earth's land surface. Our results show that climate variability, especially from ENSO, should be incorporated into disaster-risk analyses and policies. Because ENSO has some predictive skill with lead times of several seasons, the findings suggest the possibility to develop probabilistic flood-risk projections, which could be used for improved disaster planning. The findings are also relevant in the context of climate change. If the frequency and/or magnitude of ENSO events were to change in the future, this finding could imply changes in flood-risk variations across almost half of the world's terrestrial regions.

Keywords:  El Niño Southern Oscillation; climate variability; flood hazard; flood risk; global scale

Mesh:

Substances:

Year:  2014        PMID: 25331867      PMCID: PMC4226082          DOI: 10.1073/pnas.1409822111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  8 in total

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Review 2.  ENSO as an integrating concept in earth science.

Authors:  Michael J McPhaden; Stephen E Zebiak; Michael H Glantz
Journal:  Science       Date:  2006-12-15       Impact factor: 47.728

3.  Robust twenty-first-century projections of El Niño and related precipitation variability.

Authors:  Scott Power; François Delage; Christine Chung; Greg Kociuba; Kevin Keay
Journal:  Nature       Date:  2013-10-13       Impact factor: 49.962

4.  Climate forecasts in disaster management: Red Cross flood operations in West Africa, 2008.

Authors:  Lisette Martine Braman; Maarten Krispijn van Aalst; Simon J Mason; Pablo Suarez; Youcef Ait-Chellouche; Arame Tall
Journal:  Disasters       Date:  2012-10-16

5.  Highly variable El Niño-Southern Oscillation throughout the Holocene.

Authors:  Kim M Cobb; Niko Westphal; Hussein R Sayani; Jordan T Watson; Emanuele Di Lorenzo; H Cheng; R L Edwards; Christopher D Charles
Journal:  Science       Date:  2013-01-04       Impact factor: 47.728

6.  Very early warning of next El Niño.

Authors:  Josef Ludescher; Avi Gozolchiani; Mikhail I Bogachev; Armin Bunde; Shlomo Havlin; Hans Joachim Schellnhuber
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-10       Impact factor: 11.205

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Journal:  Lancet       Date:  1997-11-15       Impact factor: 79.321

8.  ENSO and disaster: droughts, floods and El Niño/Southern Oscillation warm events.

Authors:  M Dilley; B N Heyman
Journal:  Disasters       Date:  1995-09
  8 in total
  15 in total

1.  Declining vulnerability to river floods and the global benefits of adaptation.

Authors:  Brenden Jongman; Hessel C Winsemius; Jeroen C J H Aerts; Erin Coughlan de Perez; Maarten K van Aalst; Wolfgang Kron; Philip J Ward
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-20       Impact factor: 11.205

2.  When timing matters-misdesigned dam filling impacts hydropower sustainability.

Authors:  Marta Zaniolo; Matteo Giuliani; Scott Sinclair; Paolo Burlando; Andrea Castelletti
Journal:  Nat Commun       Date:  2021-05-24       Impact factor: 14.919

3.  Global-scale river flood vulnerability in the last 50 years.

Authors:  Masahiro Tanoue; Yukiko Hirabayashi; Hiroaki Ikeuchi
Journal:  Sci Rep       Date:  2016-10-26       Impact factor: 4.379

4.  Two-thirds of global cropland area impacted by climate oscillations.

Authors:  Matias Heino; Michael J Puma; Philip J Ward; Dieter Gerten; Vera Heck; Stefan Siebert; Matti Kummu
Journal:  Nat Commun       Date:  2018-03-28       Impact factor: 14.919

5.  Complex picture for likelihood of ENSO-driven flood hazard.

Authors:  R Emerton; H L Cloke; E M Stephens; E Zsoter; S J Woolnough; F Pappenberger
Journal:  Nat Commun       Date:  2017-03-15       Impact factor: 14.919

6.  Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015.

Authors:  Matti Kummu; Maija Taka; Joseph H A Guillaume
Journal:  Sci Data       Date:  2018-02-06       Impact factor: 6.444

7.  Flood risk assessments at different spatial scales.

Authors:  H de Moel; B Jongman; H Kreibich; B Merz; E Penning-Rowsell; P J Ward
Journal:  Mitig Adapt Strateg Glob Chang       Date:  2015-05-22       Impact factor: 3.583

8.  Translating large-scale climate variability into crop production forecast in Europe.

Authors:  Gabriela Guimarães Nobre; Johannes E Hunink; Bettina Baruth; Jeroen C J H Aerts; Philip J Ward
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

9.  Time-Series Study of Associations between Rates of People Affected by Disasters and the El Niño Southern Oscillation (ENSO) Cycle.

Authors:  Holly Ching Yu Lam; Andy Haines; Glenn McGregor; Emily Ying Yang Chan; Shakoor Hajat
Journal:  Int J Environ Res Public Health       Date:  2019-08-28       Impact factor: 3.390

10.  A global reanalysis of storm surges and extreme sea levels.

Authors:  Sanne Muis; Martin Verlaan; Hessel C Winsemius; Jeroen C J H Aerts; Philip J Ward
Journal:  Nat Commun       Date:  2016-06-27       Impact factor: 14.919

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