Future droughts could be longer than we expected

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Australia; International
Photo by Wesley Tingey on Unsplash
Photo by Wesley Tingey on Unsplash

Droughts of the future could be even worse than we previously thought, according to international researchers who created climate models. The team calibrated models with historical observations of longest annual dry spells (the longest number of consecutive dry days each year) between 1998 and 2018. They found the average longest periods of drought could be ten days longer by the end of the century than previously predicted. The team says the findings emphasize the need for a reassessment of drought risks around the world, and highlight the importance of correcting existing biases in climate models to increase confidence in their projections.

Media release

From: Springer Nature

Climate change: Future droughts could be longer than expected

The average longest periods of drought could be ten days longer by the end of the century than previously predicted by climate models, according to research published in Nature. The findings suggest that the hazards droughts pose to societies and ecosystems in the coming decades may be greater than expected.

Climate models project an increase of dry extremes in many world regions, but uncertainties make it difficult to implement effective adaptation strategies to minimize the environmental impact of droughts. Irina Petrova, Diego Miralles, and colleagues investigated potential biases in drought projections made by a range of climate models under both moderate- and high-emissions scenarios (the IPCC’s SSP2-4.5 and SSP5-8.5 scenarios). They then calibrated these projections with historical observations of the longest number of consecutive dry days each year — known as the longest annual dry spell — between 1998 and 2018.

The authors estimate that increases in the longest annual dry spell length predicted by the end of the century by the calibrated models could be 42–44% higher on average than those predicted by the non-calibrated models under both emissions scenarios. This indicates that the average global longest annual dry spell could be ten days longer than previously expected by 2080 to 2100. The authors also found that the increase in the longest annual dry spell length predicted by the calibrated models in North America and southern Africa and Madagascar is approximately twice as large as that predicted by the non-calibrated models.

However, they note that future decreases in the longest annual dry spell length predicted by the calibrated models in Central–East Asia may be almost three times greater than those predicted by non-calibrated models under both emissions scenarios. This finding suggests an increased risk of more frequent rainfall and flooding in some regions.

The findings emphasize the need for a reassessment of drought risks around the world and highlight the importance of correcting existing biases in climate models to increase confidence in their projections.

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Springer Nature is committed to boosting the visibility of the UN Sustainable Development Goals and relevant information and evidence published in our journals and books. The research described in this press release pertains to SDG 13 (Climate Action). More information can be found here.

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Journal/
conference:
Nature
Research:Paper
Organisation/s: Ghent University, Belgium
Funder: I.Y.P. acknowledges support from the BOF research fund of Ghent University (BOF20/PDO/057). D.G.M. acknowledges support from the European Research Council (HEAT, 101088405). S.-K.M. acknowledges a National Research Foundation of Korea grant from the Korean government (NRF2021R1A2C300736). F.B acknowledges funding from grant MOBYDYC (ANR-22-CE01-0005). M.G.D. is grateful for funding from the Horizon 2020 LANDMARC project (grant agreement no. 869367) and the Horizon Europe EXPECT project (grant no. 101137656). I.Y.P. thanks the Pangeo project for free access to the data catalogue and tools of the Pangeo platform. The computing resources and services used were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish government.
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