Literature DB >> 33580166

Global exposure to flooding from the new CMIP6 climate model projections.

Yukiko Hirabayashi1, Masahiro Tanoue2,3, Orie Sasaki2,4, Xudong Zhou5, Dai Yamazaki5.   

Abstract

Estimates of future flood risk rely on projections from climate models. The relatively few climate models used to analyze future flood risk cannot easily quantify of their associated uncertainties. In this study, we demonstrated that the projected fluvial flood changes estimated by a new generation of climate models, the collectively known as Coupled Model Intercomparison Project Phase 6 (CMIP6), are similar to those estimated by CMIP5. The spatial patterns of the multi-model median signs of change (+ or -) were also very consistent, implying greater confidence in the projections. The model spread changed little over the course of model development, suggesting irreducibility of the model spread due to internal climate variability, and the consistent projections of models from the same institute suggest the potential to reduce uncertainties caused by model differences. Potential global exposure to flooding is projected to be proportional to the degree of warming, and a greater threat is anticipated as populations increase, demonstrating the need for immediate decisions.

Entities:  

Year:  2021        PMID: 33580166      PMCID: PMC7881105          DOI: 10.1038/s41598-021-83279-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  2 in total

1.  First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble.

Authors:  Rutger Dankers; Nigel W Arnell; Douglas B Clark; Pete D Falloon; Balázs M Fekete; Simon N Gosling; Jens Heinke; Hyungjun Kim; Yoshimitsu Masaki; Yusuke Satoh; Tobias Stacke; Yoshihide Wada; Dominik Wisser
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

2.  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

  2 in total
  3 in total

1.  Expressing the sunflower transcription factor HaHB11 in maize improves waterlogging and defoliation tolerance.

Authors:  Jesica Raineri; Luciano Caraballo; Nicolás Rigalli; Margarita Portapila; María Elena Otegui; Raquel Lía Chan
Journal:  Plant Physiol       Date:  2022-05-03       Impact factor: 8.005

2.  Experimental warming reduces ecosystem resistance and resilience to severe flooding in a wetland.

Authors:  Baoyu Sun; Ming Jiang; Guangxuan Han; Liwen Zhang; Jian Zhou; Chenyu Bian; Ying Du; Liming Yan; Jianyang Xia
Journal:  Sci Adv       Date:  2022-01-26       Impact factor: 14.136

3.  The existential risk space of climate change.

Authors:  Christian Huggel; Laurens M Bouwer; Sirkku Juhola; Reinhard Mechler; Veruska Muccione; Ben Orlove; Ivo Wallimann-Helmer
Journal:  Clim Change       Date:  2022-09-12       Impact factor: 5.174

  3 in total

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