2008
DOI: 10.1175/2007jhm929.1
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Evaluating Uncertainties in the Projection of Future Drought

Abstract: The uncertainty in the projection of future drought occurrence was explored for four different drought indices using two model ensembles. The first ensemble expresses uncertainty in the parameter space of the third Hadley Centre climate model, and the second is a multimodel ensemble that additionally expresses structural uncertainty in the climate modeling process. The standardized precipitation index (SPI), the precipitation and potential evaporation anomaly (PPEA), the Palmer drought severity index (PDSI), a… Show more

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Cited by 226 publications
(198 citation statements)
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“…4a,b). In contrast, and consistent with other studies 21 , soil moisture was projected to increase at some sites but remained unchanged at others, with small overall changes relative to intermodel variability (Fig. 4a,b).…”
supporting
confidence: 91%
See 1 more Smart Citation
“…4a,b). In contrast, and consistent with other studies 21 , soil moisture was projected to increase at some sites but remained unchanged at others, with small overall changes relative to intermodel variability (Fig. 4a,b).…”
supporting
confidence: 91%
“…VPD is highly sensitive to changes in air temperature and is thus expected to rise globally in the future 1,20 . On the other hand, projected changes in precipitation and soil moisture are less certain, more spatially variable, and smaller in relative magnitude 21 . As a result, soil moisture and VPD will probably become more decoupled, which could cause the ecological impacts of droughts to diverge even further from our present understanding.…”
mentioning
confidence: 99%
“…Note that the partial discrepancies of changes in dryness assessed either by analysis of CDD or soil moisture highlight that the choice of dryness index can be critical for the assessment of drought projections (see also Burke and Brown 2008). In the case of the projected annual changes in CDD, the close agreement between the patterns in T06 and our analyses demonstrate their robustness for different emission scenarios, at least for the regions where the models reasonably agree on the sign of the changes.…”
Section: Drynesssupporting
confidence: 59%
“…Studies have begun to address such uncertainties by incorporating two or more climate models to investigate the significance for drought projections (e.g. Sheffield and Wood 2008;Burke and Brown 2008), or two or more emission scenarios to investigate the importance of emission trajectories (e.g. Sheffield and Wood 2008;Vasiliades et al 2009).…”
mentioning
confidence: 99%