Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites
文献类型：期刊论文
| 作者 | Wang, Xiaowei2,3; Tang, Fujiao4; Jiang, Yazhen1,3; Lou, Yunsheng2 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2025-11-28 |
| 卷号 | 12期号:1页码:1874 |
| DOI | 10.1038/s41597-025-06144-9 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Latent heat flux (LE) plays a crucial role in the water-energy cycle. Eddy covariance (EC) measurements of LE frequently suffer from data gaps due to weather or equipment malfunctions. This study presents a novel framework combining median-adjusted full-factorial and iterative methods to fill LE data gaps. The findings indicate that the framework exhibits stable gap-filling across land surfaces, showing RMSEs of 14.69-19.51 W/m2 for isolated gaps and averaging 24.41 W/m2 for long-term missing periods (5-50 days). Gap-filled LE data closely matched temporal dynamics and fluctuations of adjacent measurements. Based on gap-filled LE data, all sites demonstrated strong correlations between available energy and turbulent fluxes, with RMSE values ranging 28.41-38.01 W/m2 and achieving an average energy closure of 0.79 across sites. Compared to ERA5-Land and GLEAM products, the gap-filled data significantly outperformed both LE products. Overall, the filled LE data are of high quality and significantly improve the usability of observed data. The complete time-series data from 265 sites (1509 site-years) are valuable for LE model validation and water demand assessments. |
| URL标识 | 查看原文 |
| WOS关键词 | CARBON-DIOXIDE ; EVAPOTRANSPIRATION ; VARIABILITY ; REANALYSIS ; STRATEGIES ; MODELS ; FOREST |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001627744300019 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219473]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Jiang, Yazhen |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Ecol & Appl Meteorol, Nanjing 210044, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 4.Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Xiaowei,Tang, Fujiao,Jiang, Yazhen,et al. Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites[J]. SCIENTIFIC DATA,2025,12(1):1874. |
| APA | Wang, Xiaowei,Tang, Fujiao,Jiang, Yazhen,&Lou, Yunsheng.(2025).Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites.SCIENTIFIC DATA,12(1),1874. |
| MLA | Wang, Xiaowei,et al."Gap-Filling for Daily Latent Heat Flux Observations with the Full-factorial method at Global Flux Sites".SCIENTIFIC DATA 12.1(2025):1874. |
入库方式： OAI收割
来源：地理科学与资源研究所
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