Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates?
文献类型:期刊论文
作者 | Shao, Xingmin1,3; Zhang, Yongqiang3; Liu, Changming3; Chiew, Francis H. S.2; Tian, Jing3; Ma, Ning3; Zhang, Xuanze3 |
刊名 | WATER RESOURCES RESEARCH
![]() |
出版日期 | 2022-06-01 |
卷号 | 58期号:6页码:21 |
关键词 | evapotranspiration global climate change basin uncertainty ensemble |
ISSN号 | 0043-1397 |
DOI | 10.1029/2021WR031069 |
通讯作者 | Zhang, Yongqiang(zhangyq@igsnrr.ac.cn) ; Ma, Ning(ningma@igsnrr.ac.cn) |
英文摘要 | Accurately estimating actual evapotranspiration (ET) across global land surface is one of the key challenges in terrestrial hydrological cycles and energy flux balance studies. Gridded ET products have the potential for application in ungauged basins, but their uncertainties are possibly large and it remains unclear which one is best for a given basin. The water balance (WB) method provides a direct estimate of basin scale ET, but it cannot be used in ungauged basins where streamflow data are unavailable. Here, we first assess the performance of ET from 10 global ET products against WB ET estimates in 43 large river basins. The paper then uses three indirect evaluation methods [Three Cornered Hat (TCH), Arithmetic Average (AA), and Bayesian Three Cornered Hat] to identify the optimal ET products without the need of prior information, and to generate fusion products combining the ET from multiple products. Using the evaluation results derived from the WB method as the reference, the results show that the three methods have great success in identifying poorer products, suggesting that they are useful in filtering poor ET products in applications. However, the ability of such methods in identifying better ET products degrades slightly. The AA fusion product, which combines ET outputs from multiple products, is marginally better than the best single ET product in many of the 43 basins. Because of its simplicity, it could be used to reduce the uncertainty in ET estimates from multiple products for ungauged basins and regions. |
WOS关键词 | TERRESTRIAL EVAPOTRANSPIRATION ; GLOBAL EVAPOTRANSPIRATION ; LAND EVAPORATION ; MODIS ; IMPACT ; FLUX ; PARAMETERIZATION ; DEGRADATION ; VARIABILITY ; MULTIMODEL |
资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0208] ; Talents Program of Chinese Academy of Science ; National Natural Science Foundation of China[41971032] ; Science for a Better Development of Inner Mongolia Program of the Bureau of Science and Technology of the Inner Mongolia Province[KJXM-EEDS-2020005] |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000806766400001 |
出版者 | AMER GEOPHYSICAL UNION |
资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program ; Talents Program of Chinese Academy of Science ; National Natural Science Foundation of China ; Science for a Better Development of Inner Mongolia Program of the Bureau of Science and Technology of the Inner Mongolia Province |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/179109] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhang, Yongqiang; Ma, Ning |
作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.CSIRO, Land & Water, Canberra, ACT, Australia 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Shao, Xingmin,Zhang, Yongqiang,Liu, Changming,et al. Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates?[J]. WATER RESOURCES RESEARCH,2022,58(6):21. |
APA | Shao, Xingmin.,Zhang, Yongqiang.,Liu, Changming.,Chiew, Francis H. S..,Tian, Jing.,...&Zhang, Xuanze.(2022).Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates?.WATER RESOURCES RESEARCH,58(6),21. |
MLA | Shao, Xingmin,et al."Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates?".WATER RESOURCES RESEARCH 58.6(2022):21. |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。