Applicability evaluation of soil moisture constraint algorithms in remote sensing evapotranspiration models
文献类型：期刊论文
| 作者 | Bai, Peng; Cai, Changxin2 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 623页码:129870 |
| 关键词 | Remote sensing Evapotranspiration Soil moisture constraint Evaporation |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2023.129870 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Remotely sensed (RS) evapotranspiration (ET) models have been widely used to estimate ET over large areas. However, a common challenge for these models is the lack of reliable soil moisture (SM) constraints. Due to the lack of reliable, spatiotemporal continuous SM profile data, existing RS-ET models tend to use atmospheric or land surface variables as proxies for SM constraints. Although several proxy algorithms for SM constraints have been developed, few studies have evaluated their performance in ET simulations. To address this gap, we evaluated the applicability of five proxy algorithms for SM constraints (namely, fVPD, fLST, fDT, fZhang, and fdrying) to ET simulations in China using the Penman-Monteith-Leuning (PML) model. These algorithms were evaluated at 14 ChinaFlux sites and 286 basins using flux tower measurements and water balance-based ET estimates, respectively. The results show that among the five algorithms, fdrying performs test at the flux sites, with a median of Kling-Gupta efficiency (KGE) of 0.75. The second-best algorithm is fZhang (KGE = 0.73), followed by fDT (KGE = 0.70), fLST (KGE = 0.68), and fVPD (KGE = 0.65). The performance ranking of the five algorithms at the basin scale is consistent with that at the flux sites. Using the flux site SM measurements as a reference, we further found that the algorithms with better performance in ET simulations also have better SM simulation capabilities. This study highlights the importance of reliable SM constraints in the RS-ET models. |
| WOS关键词 | THERMAL INERTIA ; WATER ; EVAPORATION ; CHINA ; FLUX ; PERFORMANCE ; DRYLANDS |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| WOS记录号 | WOS:001030138500001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194347]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, 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 | Bai, Peng,Cai, Changxin. Applicability evaluation of soil moisture constraint algorithms in remote sensing evapotranspiration models[J]. JOURNAL OF HYDROLOGY,2023,623:129870. |
| APA | Bai, Peng,&Cai, Changxin.(2023).Applicability evaluation of soil moisture constraint algorithms in remote sensing evapotranspiration models.JOURNAL OF HYDROLOGY,623,129870. |
| MLA | Bai, Peng,et al."Applicability evaluation of soil moisture constraint algorithms in remote sensing evapotranspiration models".JOURNAL OF HYDROLOGY 623(2023):129870. |
入库方式： OAI收割
来源：地理科学与资源研究所
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