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Updated: Jul 21, 2025

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
Published on: June 8, 2015
A drier than expected future, supported by near-surface relative humidity observations
Hervé Douville1, Katharine M Willett2
1CNRM, Université de Toulouse, Météo-France, CNRS, 31057 Toulouse Cedex, France.
Global climate models show significant uncertainty in predicting the terrestrial water cycle. Using temperature and humidity observations reveals an inevitable continental drying trend, particularly in midlatitudes, highlighting the need for adaptation strategies.
Area of Science:
- Climate Science
- Earth System Science
- Hydrology
Background:
- Global climate models exhibit high dependency on specific models for terrestrial water cycle projections.
- Accurate prediction of future climate conditions, including water availability, is crucial for global environmental management.
Purpose of the Study:
- To constrain 21st-century projections of continental near-surface relative humidity using observational data.
- To assess the impact of different observational constraints on climate model projections of drying trends.
Main Methods:
- Utilized quality-controlled, gridded observational data for temperature and humidity.
- Constrained climate model projections by integrating surface temperature and relative humidity observations.
Main Results:
- Projections of continental drying are poorly constrained using only surface temperature observations.
- Integrating both temperature and relative humidity observations reveals an inevitable continental drying trend, especially in northern midlatitudes.
- Anthropogenic aerosols masked long-term drying trends in northern midlatitudes until the late 1980s.
Conclusions:
- Mitigation policies should consider factors beyond global warming levels.
- Urgent need for robust adaptation strategies due to projected continental drying.
- Land surface processes may contribute to uncertainties in climate models.
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