Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling
文献类型：期刊论文
| 作者 | Xie, Yuxuan1,2; Kong, Dongdong1,2; Zhang, Yongqiang3; Zhong, Yulong4; Ma, Ning3; Gong, Rouyan5; Ci, Hui6; Xiao, Mingzhong7; Gu, Xihui4,8,9 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 660页码:133472 |
| 关键词 | Evapotranspiration Potential evapotranspiration Meteorological forcing Reanalysis dataset |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.133472 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Constrained by limited evapotranspiration (ET) observations, it is difficult to determine which ET product provides a more accurate ET estimate. However, due to the abundant potential evapotranspiration (PET) observations, evaluating the performance of forcing data for estimating PET to determine the performance of forcing data for ET estimation is a viable option. In this study, we proposed a new method to assess the performance of different reanalysis meteorological forcing data in ET estimation indirectly by evaluating their performance in PET estimation. Based on meteorological data from 1,978 meteorological observation stations during 2003-2018 in China, five widely used products (ERA5L, CFSV2, GLDASV21, JRA55, and MERRA2) were evaluated. Results show that: (1) From the perspective of overall performance in annual PET estimation, ERA5L captures both the magnitude and interannual fluctuations of PET the best, with median R2 and RMSE of 0.52 and 40.91 mm, respectively. (2) From the perspective of meteorological variables accuracy, the reanalysis forcing has the best precision for surface temperature (Ta) and the lowest precision for 2 m wind speed (U2), with average R2 of 0.96 and 0.26, respectively. The net surface radiation (Rn), U2, Ta, actual vapor pressure (ea), and surface pressure (Pa) from five products yield median errors in PET estimation of 28.34, 19.94, 21.31, 30.95, and 0.06 mm, respectively. (3) For each meteorological variable, we selected the forcing data that performed the best (ea, U2, and Pa provided by ERA5L, Rnand Ta by MERRA2), forming an optimal combination for calculating ET. The basin water balance and eddy covariance flux station evaluation showed that the optimal combination can improve the performance of ET estimated using the PML-V2 model in terms of magnitude, interannual fluctuations, and trends compared to the original reanalysis forcing. Our study provides a new framework for selecting more appropriate forcing data in estimating ET, which further facilitates an improved understanding of largescale ET dynamics. |
| URL标识 | 查看原文 |
| WOS关键词 | WATER-USE EFFICIENCY ; SPATIAL VARIABILITY ; SOIL-MOISTURE ; EVAPORATION ; BALANCE ; SURFACE ; TRENDS ; CHINA ; FLUX ; UNCERTAINTY |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001501448100006 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214509]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Kong, Dongdong; Gu, Xihui |
| 作者单位 | 1.China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Peoples R China; 2.Ctr Severe Weather & Climate & Hydrogeol Hazards, Wuhan 430074, Peoples R China; 3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 4.China Univ Geosci Wuhan, Sch Geog & Informat Engn, Wuhan 430078, Peoples R China; 5.Hunan Agr Univ, Coll Water Resources & Civil Engn, Changsha 410125, Peoples R China; 6.Jiangsu Second Normal Univ, Sch Geog Sci, Nanjing 211200, Peoples R China; 7.Sun Yat Sen Univ, Ctr Water Resources & Environm, Sch Civil Engn, Guangzhou 510275, Peoples R China; 8.State Key Lab Geomicrobiol & Environm Changes, Wuhan 430074, Peoples R China; 9.Hubei Key Lab Reg Ecol & Environm Change, Wuhan 430074, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Yuxuan,Kong, Dongdong,Zhang, Yongqiang,et al. Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling[J]. JOURNAL OF HYDROLOGY,2025,660:133472. |
| APA | Xie, Yuxuan.,Kong, Dongdong.,Zhang, Yongqiang.,Zhong, Yulong.,Ma, Ning.,...&Gu, Xihui.(2025).Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling.JOURNAL OF HYDROLOGY,660,133472. |
| MLA | Xie, Yuxuan,et al."Evaluation of the performance of multiple reanalysis forcing data in potential evapotranspiration estimation and its implication for actual evapotranspiration modeling".JOURNAL OF HYDROLOGY 660(2025):133472. |
入库方式： OAI收割
来源：地理科学与资源研究所
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