Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5645-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-5645-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Oct 2025
Research article |
| 23 Oct 2025
| 23 Oct 2025
Enhancing evapotranspiration estimates under climate change: the role of CO2 physiological feedback and CMIP6 scenarios
Xiaofan Yang
College of Environment & Safety Engineering, Fuzhou University, Fuzhou, 350116, China
Yu Chen
School of Public Administration and Policy, RENMIN UNIVERSITY OF CHINA, Beijing, 100872, China
Department of Sustainable Earth System Sciences, University of Texas at Dallas, Richardson, TX, USA
Virgílio A. Bento
Faculty of Sciences, Instituto Dom Luiz, University of Lisbon, Lisbon, Portugal
Hongquan Song
College of Geography and Environmental Science, Henan University, 475004 Kaifeng, China
Wei Shui
College of Environment & Safety Engineering, Fuzhou University, Fuzhou, 350116, China
Jingyu Zeng
College of Environment & Safety Engineering, Fuzhou University, Fuzhou, 350116, China
College of Environment & Safety Engineering, Fuzhou University, Fuzhou, 350116, China
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The carbon cycling in terrestrial ecosystems is complex. In our analyses, we found that both the global and the northern-high-latitude (NHL) ecosystems will continue to have positive net ecosystem production (NEP) in the next few decades under four global change scenarios but with large uncertainties. NHL ecosystems will experience faster climate warming but steadily contribute a small fraction of the global NEP. However, the relative uncertainty of NHL NEP is much larger than the global values.
Qianfeng Wang, Rongrong Zhang, Yanping Qu, Jingyu Zeng, Xiaoping Wu, Xiaozhen Zhou, Binyu Ren, Xiaohan Li, and Duhui Zhou
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The standardized precision index (SPI), which is commonly used for drought monitoring and assessment, is limited by its temporal resolution and cannot identify flash drought in less than one month. Therefore, we developed a new daily SPI dataset. The results show that the drought events identified by our SPI dataset were consistent with the historical drought events, which is effective and reliable. At the same time, the dataset will be open to the public free of charge.
Qianfeng Wang, Jingyu Zeng, Junyu Qi, Xuesong Zhang, Yue Zeng, Wei Shui, Zhanghua Xu, Rongrong Zhang, Xiaoping Wu, and Jiang Cong
Earth Syst. Sci. Data, 13, 331–341, https://doi.org/10.5194/essd-13-331-2021, https://doi.org/10.5194/essd-13-331-2021, 2021
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(1) The SPEI has been widely used to monitor and assess drought characteristics.
(2) A multi-scale daily SPEI dataset was developed across mainland China from 1961 to 2018.
(3) The daily SPEI dataset can identify the start and end days of a drought event.
(4) The daily SPEI dataset developed is free, open, and publicly available from this study.
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Short summary
The future of global evaporation under climate change is uncertain. Current Evapotranspiration models mainly rely on the high-emissions Coupled Model Intercomparison Project Phase 5 (CMIP5) scenario and do not fully capture vegetation-climate interactions in low-emissions. Updated models using output from Coupled Model Intercomparison Project Phase 6 (CMIP6) under four Shared Socioeconomic Pathways show ET projections will grow more dependent on the emissions scenario.
The future of global evaporation under climate change is uncertain. Current Evapotranspiration...
