Literature DB >> 24344266

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

Christel Prudhomme1, Ignazio Giuntoli, Emma L Robinson, Douglas B Clark, Nigel W Arnell, Rutger Dankers, Balázs M Fekete, Wietse Franssen, Dieter Gerten, Simon N Gosling, Stefan Hagemann, David M Hannah, Hyungjun Kim, Yoshimitsu Masaki, Yusuke Satoh, Tobias Stacke, Yoshihide Wada, Dominik Wisser.   

Abstract

Increasing concentrations of greenhouse gases in the atmosphere are expected to modify the global water cycle with significant consequences for terrestrial hydrology. We assess the impact of climate change on hydrological droughts in a multimodel experiment including seven global impact models (GIMs) driven by bias-corrected climate from five global climate models under four representative concentration pathways (RCPs). Drought severity is defined as the fraction of land under drought conditions. Results show a likely increase in the global severity of hydrological drought at the end of the 21st century, with systematically greater increases for RCPs describing stronger radiative forcings. Under RCP8.5, droughts exceeding 40% of analyzed land area are projected by nearly half of the simulations. This increase in drought severity has a strong signal-to-noise ratio at the global scale, and Southern Europe, the Middle East, the Southeast United States, Chile, and South West Australia are identified as possible hotspots for future water security issues. The uncertainty due to GIMs is greater than that from global climate models, particularly if including a GIM that accounts for the dynamic response of plants to CO2 and climate, as this model simulates little or no increase in drought frequency. Our study demonstrates that different representations of terrestrial water-cycle processes in GIMs are responsible for a much larger uncertainty in the response of hydrological drought to climate change than previously thought. When assessing the impact of climate change on hydrology, it is therefore critical to consider a diverse range of GIMs to better capture the uncertainty.

Entities:  

Keywords:  climate impact; evaporation; global hydrology; global warming

Mesh:

Year:  2013        PMID: 24344266      PMCID: PMC3948235          DOI: 10.1073/pnas.1222473110

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


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Review 9.  Elevated CO2 effects on plant carbon, nitrogen, and water relations: six important lessons from FACE.

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Journal:  J Exp Bot       Date:  2009-04-28       Impact factor: 6.992

  9 in total
  42 in total

1.  Water risk as world warms.

Authors:  Quirin Schiermeier
Journal:  Nature       Date:  2014-01-02       Impact factor: 49.962

2.  Multimodel assessment of water scarcity under climate change.

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4.  Cahokia's emergence and decline coincided with shifts of flood frequency on the Mississippi River.

Authors:  Samuel E Munoz; Kristine E Gruley; Ashtin Massie; David A Fike; Sissel Schroeder; John W Williams
Journal:  Proc Natl Acad Sci U S A       Date:  2015-05-04       Impact factor: 11.205

5.  Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity.

Authors:  Andreas Hartmann; Tom Gleeson; Yoshihide Wada; Thorsten Wagener
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7.  Drought alters the trophic role of an opportunistic generalist in an aquatic ecosystem.

Authors:  Sarah L Amundrud; Sarina A Clay-Smith; Bret L Flynn; Kathleen E Higgins; Megan S Reich; Derek R H Wiens; Diane S Srivastava
Journal:  Oecologia       Date:  2019-01-29       Impact factor: 3.225

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Authors:  C G Madhusoodhanan; K G Sreeja; T I Eldho
Journal:  Ambio       Date:  2016-05-12       Impact factor: 5.129

9.  Plant responses to increasing CO2 reduce estimates of climate impacts on drought severity.

Authors:  Abigail L S Swann; Forrest M Hoffman; Charles D Koven; James T Randerson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-29       Impact factor: 11.205

10.  Multimodel uncertainty changes in simulated river flows induced by human impact parameterizations.

Authors:  Xingcai Liu; Qiuhong Tang; Huijuan Cui; Mengfei Mu; Dieter Gerten; Simon Gosling; Yoshimitsu Masaki; Yusuke Satoh; Yoshihide Wada
Journal:  Environ Res Lett       Date:  2017-02-08       Impact factor: 6.793

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