Super-resolution downscaling of projected future potential evapotranspiration over China
文献类型：期刊论文
| 作者 | Zhang, Fuyao1,2; Liu, Yunxi1,2; Li, Xiubin1,2; Wang, Xue1; Tan, Minghong1,2; Xin, Liangjie1 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2026-03-01 |
| 卷号 | 667页码:134860 |
| 关键词 | Super-resolution model Data downscaling Potential evapotranspiration Penman-Monteith formula Climate change |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.134860 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Potential evapotranspiration (PET) is a critical indicator for assessing irrigation demands, predicting crop growth, and optimizing water allocation. To overcome traditional method limitations in representing meteorological-topographic interactions and high-resolution PET dataset construction, this study proposes a PET downscaling method combining super-resolution (SR) models and global climate models (GCMs). This study develops a deep learning-based downscaling framework to estimate 10 km daily PET and predict its spatiotemporal changes across China, with systematic analysis of climatic drivers under multiple future scenarios. Among eight SR models, the Residual Channel Attention Network (RCAN) demonstrates superior performance, achieving a mean absolute error (MAE) of 0.167 mm/day and a mean squared error (MSE) of 0.071 mm2/day2, with the coefficient of determination (R2) and Kling-Gupta efficiency (KGE) reaching 0.972. In addition, RCAN maintained robust performance in diverse terrains, with MAE <= 0.14 mm/day in plains and <= 0.21 mm/day in complex regions. Projections indicated annual PET increases of 3.5 % (SSP126) to 14.2 % (SSP585) by 2100, peaking in spring and summer. The southern regions under SSP585 experienced PET growth exceeding 30 mm/ decade, while the Tibetan Plateau and northern regions exhibited lower increases. Future PET increases were driven by rising temperatures and enhanced solar radiation, synergistically amplified by declining humidity and pressure fluctuations. Radiation-humidity coupling dominated southern dynamics, whereas northern trends were temperature-controlled. The framework overcomes traditional limitations in modeling meteorologicaltopographic interactions and can provide strong data support for high-resolution drought risk assessment, land-surface process simulation, and water resource management policy optimization in large regions. |
| URL标识 | 查看原文 |
| WOS关键词 | EVAPORATION |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001657953800001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219702]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Xue |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Fuyao,Liu, Yunxi,Li, Xiubin,et al. Super-resolution downscaling of projected future potential evapotranspiration over China[J]. JOURNAL OF HYDROLOGY,2026,667:134860. |
| APA | Zhang, Fuyao,Liu, Yunxi,Li, Xiubin,Wang, Xue,Tan, Minghong,&Xin, Liangjie.(2026).Super-resolution downscaling of projected future potential evapotranspiration over China.JOURNAL OF HYDROLOGY,667,134860. |
| MLA | Zhang, Fuyao,et al."Super-resolution downscaling of projected future potential evapotranspiration over China".JOURNAL OF HYDROLOGY 667(2026):134860. |
入库方式： OAI收割
来源：地理科学与资源研究所
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