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Updated: Jun 12, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
Observation-constrained projections reveal longer-than-expected dry spells
Irina Y Petrova1, Diego G Miralles2, Florent Brient3
1H-CEL, Ghent University, Ghent, Belgium. irina.petrova@ugent.be.
Climate models underestimate future drought severity. A new method using emergent constraints (EC) reveals longer annual dry spells, indicating greater drought risks globally than previously projected.
Area of Science:
- Climate science
- Environmental modeling
- Drought prediction
Background:
- Climate models project worsening dry extremes globally.
- Current projections lack confidence in magnitude and timing, leaving societies unprepared for increased drought events.
Purpose of the Study:
- To reduce uncertainty in climate model projections of drought.
- To improve predictions of the longest annual dry spell (LAD) using an emergent constraint (EC).
Main Methods:
- Constraining climate model projections with observational data.
- Utilizing a newly proposed emergent constraint (EC) to refine LAD predictions.
- Analyzing two generations of climate models to identify biases and feedback mechanisms.
Main Results:
- The EC method reduced uncertainty in LAD predictions by 10-26% globally.
- EC-corrected projections show a 42-44% greater increase in LAD compared to current scenarios.
- Global mean land-only LAD may increase by 10 days by the end of the century.
Conclusions:
- Societies and ecosystems face higher and earlier drought risks than anticipated.
- Emergent constraints offer a pathway to more reliable drought projections.
- Understanding model biases is crucial for accurate climate change impact assessments.
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