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Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment

Significance Increasing concentrations of greenhouse gases in the atmosphere are widely expected to influence global climate over the coming century. The impact on drought is uncertain because of the complexity of the processes but can be estimated using outputs from an ensemble of global models (hydrological and climate models). Using an ensemble of 35 simulations, we show a likely increase in the global severity of drought by the end of 21st century, with regional hotspots including South America and Central and Western Europe in which the frequency of drought increases by more than 20%. The main source of uncertainty in the results comes from the hydrological models, with climate models contributing to a substantial but smaller amount of uncertainty.
- Centro de Investigación y Desarrollo Spain
- University of Tokyo Japan
- Nottingham Trent University United Kingdom
- Spanish National Research Council Spain
- University of New Hampshire United States
elevated co2, 550, Geography, cycle, Climate Change, face, Uncertainty, extremes, Models, Theoretical, carbon-dioxide, Droughts, models, climate-change, Hydrodynamics, Computer Simulation, Hydrology, Forecasting
elevated co2, 550, Geography, cycle, Climate Change, face, Uncertainty, extremes, Models, Theoretical, carbon-dioxide, Droughts, models, climate-change, Hydrodynamics, Computer Simulation, Hydrology, Forecasting
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).587 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.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
