Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management
文献类型：期刊论文
| 作者 | Ju, Xiang1,2; Chen, Shaohui2 |
| 刊名 | AGRICULTURAL WATER MANAGEMENT
 |
| 出版日期 | 2026-05-31 |
| 卷号 | 329页码:110358 |
| 关键词 | Evapotranspiration Human activity Lysimeter Eddy covariance Remote sensing Land-surface models |
| ISSN号 | 0378-3774 |
| DOI | 10.1016/j.agwat.2026.110358 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Accurate evapotranspiration (ET) estimates are vital in the water-stressed Haihe River Basin (HRB); however, the suitability and error modes of existing ET products remain unclear. This study develops an end-to-end diagnostic framework to reveal error mechanisms, define applicability limits, and link site-level error processes to basinscale performance patterns. The framework's novelty lies in its multi-pronged attribution strategy designed to disentangle complex error sources. It leverages high-precision lysimeters and an eddy covariance (EC) network to separate and validate evaporation versus transpiration errors. It then integrates a physics-based scenario matrix to diagnose error patterns under distinct hydrothermal stresses, and employs a generalized additive model (GAM) to quantify nonlinear relationships between these errors and environmental drivers. The framework reveals systematic, condition-dependent error patterns: at site scale, products overestimate bare-soil evaporation but underestimate cropland transpiration; at basin scale, land-surface models generally show higher skill in nearnatural mountain regions, whereas their skill is reduced in intensively managed, irrigation-dominated plains. Failure to capture the spring irrigation-driven ET peak is one factor contributing to this contrast. These irrigationinduced biases directly affect irrigation scheduling, agricultural water budget, and crop water requirement estimates. Product choice should be context-specific: GLEAM demonstrates a superior ability to capture irrigation signals in managed plains, whereas reanalysis products are more reliable in near-natural mountains. These investigations can help optimize water resource utilization and allocation in agricultural fields. |
| URL标识 | 查看原文 |
| WOS关键词 | GRIDDED PRECIPITATION DATASET ; ENERGY-BALANCE CLOSURE ; CLIMATE-CHANGE ; GROUNDWATER DEPLETION ; CHINESE MAINLAND ; UNCERTAINTY ; RESOURCES ; MOISTURE ; MODEL ; PARAMETERIZATION |
| WOS研究方向 | Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001747311300001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221534]  |
| 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 | Chen, Shaohui |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Ju, Xiang,Chen, Shaohui. Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management[J]. AGRICULTURAL WATER MANAGEMENT,2026,329:110358. |
| APA | Ju, Xiang,&Chen, Shaohui.(2026).Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management.AGRICULTURAL WATER MANAGEMENT,329,110358. |
| MLA | Ju, Xiang,et al."Evaluation and error attribution of evapotranspiration products over the Haihe River Basin: Implications for irrigation scheduling and agricultural water management".AGRICULTURAL WATER MANAGEMENT 329(2026):110358. |
入库方式： OAI收割
来源：地理科学与资源研究所
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