Hysteresis and irreversibility of global drought patterns in response to CO<sub>2</sub> mitigation efforts

Abstract Drought is expected to intensify with rising CO 2 , but its behavior under CO 2 mitigation, remains uncertain. The response of the climate system to CO 2 variation exhibits hysteresis and irreversibility, highlighting the difficulty of recovery and the potential for long-lasting impacts. We investigated the hysteresis and reversibility of global drought and the associated underlying drivers. The Community Earth System Model 2 was used to simulate CO 2 changes: linear increases, decreases (i.e. net negative), and restoration to the initial level. This paper incorporates three well-established indices based on atmospheric, meteorological and soil moisture data to reflect drought. Here, we show that drought is dominant during the CO 2 decrease phase, leading to strong hysteresis with irreversible behavior over more than half of the global land cover. The robust irreversible changes in drought are concentrated in specific areas, i.e. hotspots, covering over 11% of the global land and are particularly pronounced in Northern Africa, Southwest Russia, and Central America. A decrease in precipitation drives drought during the CO 2 increase phase, while an enhanced vapor pressure deficit (VPD) exacerbates it during the CO 2 decrease phase. This increased VPD exacerbates drought hysteresis by raising potential evapotranspiration. Our findings suggest that only CO 2 reduction is not enough to effectively mitigate drought impacts, rather advanced water management strategies are essential.

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Publication Details

Journal
Environmental Research Letters
Published
2025-06-19
DOI
https://doi.org/10.1088/1748-9326/ade608
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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Hysteresis and irreversibility of global drought patterns in response to CO2 mitigation efforts

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article

Hysteresis and irreversibility of global drought patterns in response to CO2 mitigation efforts

Buda Su, Seungmok Paik, Soon‐Il An, Sanjit Kumar Mondal, Tong Jiang, Seung‐Ki Min, Soong‐Ki Kim
article en
1 citations

Abstract

Abstract Drought is expected to intensify with rising CO 2 , but its behavior under CO 2 mitigation, remains uncertain. The response of the climate system to CO 2 variation exhibits hysteresis and irreversibility, highlighting the difficulty of recovery and the potential for long-lasting impacts. We investigated the hysteresis and reversibility of global drought and the associated underlying drivers. The Community Earth System Model 2 was used to simulate CO 2 changes: linear increases, decreases (i.e. net negative), and restoration to the initial level. This paper incorporates three well-established indices based on atmospheric, meteorological and soil moisture data to reflect drought. Here, we show that drought is dominant during the CO 2 decrease phase, leading to strong hysteresis with irreversible behavior over more than half of the global land cover. The robust irreversible changes in drought are concentrated in specific areas, i.e. hotspots, covering over 11% of the global land and are particularly pronounced in Northern Africa, Southwest Russia, and Central America. A decrease in precipitation drives drought during the CO 2 increase phase, while an enhanced vapor pressure deficit (VPD) exacerbates it during the CO 2 decrease phase. This increased VPD exacerbates drought hysteresis by raising potential evapotranspiration. Our findings suggest that only CO 2 reduction is not enough to effectively mitigate drought impacts, rather advanced water management strategies are essential.

Environmental Research LettersVol. 20(8)
Pohang University of Science and Technology (KR), Planetary Science Institute (US), Seoul National University (KR), Yonsei University (KR), Chinese Academy of Sciences (CN), Yale University (US), Xinjiang Institute of Ecology and Geography (CN), Nanjing University (CN)
National Research Foundation of Korea
Clean water and sanitation
Openalex Percentile: Top 23%
Climate variability and models
1.11
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