Quantifying Global Hydrological Sensitivity to CO<sub>2</sub> Physiological and Radiative Forcings Under Large CO<sub>2</sub> Increases

Abstract Prediction of surface freshwater flux (precipitation or evaporation) in a CO 2 ‐enriched climate is highly uncertain, primarily depending on the hydrological responses to physiological and radiative forcings of CO 2 increase. Using the 1pctCO 2 (a 1% per year CO 2 increase scenario) experiments of 12 CMIP6 models, we first decouple and quantify the magnitude of global hydrological sensitivity to CO 2 physiological and radiative forcings. Results show that the direct global hydrological sensitivity (for land plus ocean precipitation) to CO 2 increase only is −0.09 ± 0.07% (100 ppm) −1 and to CO 2 ‐induced warming alone is 1.54 ± 0.24% K −1 . The latter is about 10% larger than the global apparent hydrological sensitivity (i.e., including all effects, not only direct responses to warming, = 1.39 ± 0.22% K −1 ). These hydrological sensitivities are relatively stable over transient 2× to 4 × CO 2 scenario. The intensification of the global water cycle are dominated by the CO 2 radiative effect (79 ± 12%) with a smaller positive contribution from the interaction between the two effects (6 ± 12%), but are reduced by the CO 2 physiological effect (−10 ± 8%). This finding underlines the importance of CO 2 vegetation physiology in global water cycle projections under a CO 2 ‐enriched and warming climate.

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Publication Details

Journal
Earth s Future
Published
2024-11-27
DOI
https://doi.org/10.1029/2023ef004246
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying Global Hydrological Sensitivity to CO2 Physiological and Radiative Forcings Under Large CO2 Increases

Xuanze Zhang, Yongqiang Zhang, Qiuhong Tang, Husi Letu et al.
Earth s Future
Atmospheric and Environmental Gas Dynamics
article

Quantifying Global Hydrological Sensitivity to CO2 Physiological and Radiative Forcings Under Large CO2 Increases

Xuanze Zhang, Yongqiang Zhang, Qiuhong Tang, Husi Letu, Ying‐Ping Wang, Cong Ren, Yunyun Ban, Changming Liu, Shi Jiancheng
article en

Abstract

Abstract Prediction of surface freshwater flux (precipitation or evaporation) in a CO 2 ‐enriched climate is highly uncertain, primarily depending on the hydrological responses to physiological and radiative forcings of CO 2 increase. Using the 1pctCO 2 (a 1% per year CO 2 increase scenario) experiments of 12 CMIP6 models, we first decouple and quantify the magnitude of global hydrological sensitivity to CO 2 physiological and radiative forcings. Results show that the direct global hydrological sensitivity (for land plus ocean precipitation) to CO 2 increase only is −0.09 ± 0.07% (100 ppm) −1 and to CO 2 ‐induced warming alone is 1.54 ± 0.24% K −1 . The latter is about 10% larger than the global apparent hydrological sensitivity (i.e., including all effects, not only direct responses to warming, = 1.39 ± 0.22% K −1 ). These hydrological sensitivities are relatively stable over transient 2× to 4 × CO 2 scenario. The intensification of the global water cycle are dominated by the CO 2 radiative effect (79 ± 12%) with a smaller positive contribution from the interaction between the two effects (6 ± 12%), but are reduced by the CO 2 physiological effect (−10 ± 8%). This finding underlines the importance of CO 2 vegetation physiology in global water cycle projections under a CO 2 ‐enriched and warming climate.

Earth s FutureVol. 12(12)
Commonwealth Scientific and Industrial Research Organisation (AU), Chinese Academy of Sciences (CN), National Space Science Center (CN), Aerospace Information Research Institute (CN), Institute of Geographic Sciences and Natural Resources Research (CN), State Key Laboratory of Remote Sensing Science (CN)
Youth Innovation Promotion Association of the Chinese Academy of Sciences, National Key Research and Development Program of China, Youth Innovation Promotion Association
Life below water
Openalex Percentile: Top 81%
Atmospheric and Environmental Gas Dynamics
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