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Multimodel assessment of water scarcity under climate change

Authors: Qiuhong Tang; Jacob Schewe; Stephanie Eisner; Rutger Dankers; Nigel W. Arnell; Xingcai Liu; Dominik Wisser; +20 Authors

Multimodel assessment of water scarcity under climate change

Abstract

Water scarcity severely impairs food security and economic prosperity in many countries today. Expected future population changes will, in many countries as well as globally, increase the pressure on available water resources. On the supply side, renewable water resources will be affected by projected changes in precipitation patterns, temperature, and other climate variables. Here we use a large ensemble of global hydrological models (GHMs) forced by five global climate models and the latest greenhouse-gas concentration scenarios (Representative Concentration Pathways) to synthesize the current knowledge about climate change impacts on water resources. We show that climate change is likely to exacerbate regional and global water scarcity considerably. In particular, the ensemble average projects that a global warming of 2 °C above present (approximately 2.7 °C above preindustrial) will confront an additional approximate 15% of the global population with a severe decrease in water resources and will increase the number of people living under absolute water scarcity (<500 m 3 per capita per year) by another 40% (according to some models, more than 100%) compared with the effect of population growth alone. For some indicators of moderate impacts, the steepest increase is seen between the present day and 2 °C, whereas indicators of very severe impacts increase unabated beyond 2 °C. At the same time, the study highlights large uncertainties associated with these estimates, with both global climate models and GHMs contributing to the spread. GHM uncertainty is particularly dominant in many regions affected by declining water resources, suggesting a high potential for improved water resource projections through hydrological model development.

Countries
France, Germany, United Kingdom, Austria, United Kingdom, Netherlands, Netherlands, France, Netherlands, Netherlands
Keywords

trends, 550, Climate Change, water, availability, vulnerability, 333, Water Supply, SDG 13 - Climate Action, future food-production, SDG 7 - Affordable and Clean Energy, SDG 2 - Zero Hunger, uncertainty, Population Growth, climate impacts, scenarios, Inter-Sectoral Impact Model Intercomparison Project, Temperature, Models, Theoretical, hydrological modelling, bias correction, river runoff, Droughts, climate change, model description, Hydrology, SDG 6 - Clean Water and Sanitation, resources, Forecasting

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.01%
Top 0.1%
Top 0.1%
Green
bronze