4.7 Article

Can Indirect Evaluation Methods and Their Fusion Products Reduce Uncertainty in Actual Evapotranspiration Estimates?

期刊

WATER RESOURCES RESEARCH
卷 58, 期 6, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021WR031069

关键词

evapotranspiration; global; climate change; basin; uncertainty; ensemble

资金

  1. Second Tibetan Plateau Scientific Expedition and Research Program [2019QZKK0208]
  2. Talents Program of Chinese Academy of Science
  3. National Natural Science Foundation of China [41971032]
  4. Science for a Better Development of Inner Mongolia Program of the Bureau of Science and Technology of the Inner Mongolia Province [KJXM-EEDS-2020005]

向作者/读者索取更多资源

Accurately estimating actual evapotranspiration (ET) is a challenge in hydrological and energy flux balance studies. This research evaluates 10 global ET products and identifies the optimal ET products using three indirect evaluation methods. The results show that these methods are successful in filtering out poorer ET products, but their ability to identify better ET products is slightly degraded. The AA fusion product, which combines outputs from multiple products, performs well in many basins.
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.

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