A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement

Yu, Leiyu; Qiu, Guo Yu; Yan, Changrong; Zhao, Wenli; Zou, Zhiyu; Ding, Jian; Qin, Lu; Xiong, Yujiu

doi:10.5194/essd-14-3673-2022

Cited by 18 publications

(11 citation statements)

References 75 publications

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“…Similar to the examinations of long-term mean and annual trends in our study, a previous global evaluation of water balance ET estimates against nine ET products over 35 basins points out that water balance ET can reasonably estimate the annual means (especially in dry zones with relatively lower uncertainty) but substantially underestimated the inter-annual variability in terms of annual trends and mean annual standard deviation (Liu et al, 2016). Furthermore, the comprehensive uncertainty analysis for ET products from revealing the RB mostly ranging from -25 to 25% on the annual scale, with the underestimation of water balance ET in high latitudes (Yu et al, 2022). The comparisons are quite relevant to the results of ET-WB, which also underestimates ET in East…”

Section: Spatiotemporal Variation Of Et-wbmentioning

confidence: 89%

“…The finding confirms the pattern of obviously higher uncertainty in ET-WB than auxiliary ET products in several arid basins in Western United States in our study. A recently published global ET product based on the three-temperature model used the water balance ET in 34 catchments worldwide as a benchmarking product, revealing the RB mostly ranging from -25 to 25% on the annual scale, with the underestimation of water balance ET in high latitudes (Yu et al, 2022). The comparisons are quite relevant to the results of ET-WB, which also underestimates ET in East Russia and Northern North America by comparing with, for example, GLEAM and MODIS products.…”

Section: Spatiotemporal Variation Of Et-wbmentioning

confidence: 99%

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ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins

Xiong¹,

Xu²,

Chandanpurkar³

et al. 2023

Preprint

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Abstract. Evaporation (ET) is one of the crucial components of the water cycle, which serves as the nexus between global water, energy, and carbon cycles. Accurate quantification of ET is, therefore, pivotal in understanding various earth system processes and subsequent societal applications. The prevailing approaches for ET retrievals are either limited in spatiotemporal coverage or largely influenced by choice of input data or simplified model physics, or a combination thereof. Here, using an independent mass conservation approach, we develop water balance-based ET datasets (ET-WB) for the global land and the selected 168 major river basins. We generate 4669 probabilistic unique combinations of the ET-WB leveraging multi-source datasets (23 precipitation, 29 runoff, and 7 storage change datasets) from satellite products, in-situ measurements, reanalysis, and hydrological simulations. We compare our results with the four auxiliary global ET datasets and previous regional studies, followed by a rigorous discussion of the uncertainties, their possible sources, and potential ways to constrain them. The seasonal cycle of global ET-WB possesses a unimodal distribution with the highest (median value: 65.61 mm/month) and lowest (median value: 36.11 mm/month) values in July and January, respectively, with the spread range of roughly ±10 mm/month from different subsets of the ensemble. Auxiliary ET products illustrate similar intra-annual characteristics with some over/under-estimation, which are completely within the range of the ET-WB ensemble. We found a gradual increase in global ET-WB from 2003 to 2010 and a subsequent decrease during 2010–2015, followed by a sharper reduction in the remaining years primarily attributed to the varying precipitation. Multiple statistical metrics show reasonably good accuracy of monthly ET-WB (e.g., a relative bias of ±20 %) in most river basins, which ameliorates at annual scales. The long-term mean annual ET-WB varies within 500–600 mm/yr and is consistent with the for auxiliary ET products (543–569 mm/yr). Observed trend estimates, though regionally divergent, are evidence of the increasing ET in a warming climate. The current dataset will likely be useful for several scientific assessments centering around water resources management to benefit society at large. The dataset is publicly available at https://doi.org/10.5281/zenodo.7314920 (Xiong et al., 2023).

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Section: Spatiotemporal Variation Of Et-wbmentioning

confidence: 89%

Section: Spatiotemporal Variation Of Et-wbmentioning

confidence: 99%

ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins

Xiong¹,

Xu²,

Chandanpurkar³

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…(2023) also showed that the ETE was overestimated by GLASS model. The overestimation of ETE by GLASS model might be related to input data sets in the algorithm (Yu et al., 2022). MODIS assumes that the plant canopy is a big‐leaf and it fails to capture the radiation distribution in the canopy.…”

Section: Discussionmentioning

confidence: 99%

Large Divergence of Satellite Monitoring of Diffuse Radiation Effect on Ecosystem Water‐Use Efficiency

Zhang,

Fan,

Tao

et al. 2023

Geophysical Research Letters

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Water‐use efficiency (WUE), defined as the ratio of gross primary productivity (GPP) and evapotranspiration (ET), is a key indicator of the coupling of carbon and water cycles in terrestrial ecosystems. Diffuse radiation significantly affects WUE as diffuse radiation has stronger fertilization effects on GPP than ET. Remote sensing data‐driven (RS) models were widely used to estimate WUE. However, the performance of RS models in simulating diffuse radiation effect on WUE is poorly understood. We used GPP and ET products from MODIS, PML, BESS, and GLASS to explore the response of WUE to diffuse radiation across different vegetation types. We found that there was a large divergence among the RS models in estimating the response of WUE to FDP. PML model performed better than other RS models in simulating diffuse radiation effect on WUE. This research has significant implications for improving model simulations and understanding global carbon and water cycles.

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“…In this study, the simulations of ET derived from the eight methods were evaluated by the water balance ET of global 1,381 basins under various water, energy, and vegetation conditions. Since water, energy, and vegetation are crucial for accurately simulating ET, the lack of sufficient their information, caused by the lack of ET algorithm, forcing data and calibration methods, affects the performance of ET simulation (Xu et al, 2019;Elnashar et al, 2021;Li et al, 2022;Yu et al, 2022). As is shown, the comprehensive performance of ET products (Figures 7,11) and the capture of ET variance (Figures 5, 9) regularly decrease, with the humidity and vegetation greenness increasing.…”

Section: Validation By Dynamic Aridity or Vegetation Conditionsmentioning

confidence: 95%

Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe

Wang

Tong

et al. 2023

Front. Environ. Sci.

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The wide application of the evapotranspiration (ET) products has deepened our understanding of the water, energy and carbon cycles, driving increased interest in regional and global assessments of their performance. However, evaluating ET products at a global scale with varying levels of dryness and vegetation greenness poses challenges due to a relative lack of reference data and potential water imbalance. Here, we evaluated the performance of eight state-of-the-art ET products derived from remote sensing, Land Surface Models, and machine learning methods. Specifically, we assessed their ability to capture ET magnitude, variability, and trend, using 1,381 global watershed water balance ET as a baseline. Furthermore, we created aridity and vegetation categories to investigate performance differences among products under varying environmental conditions. Our results demonstrate that the spatial and temporal performances of the ET products were strongly affected by aridity and vegetation greenness. The poorer performances, such as underestimation of interannual variability and misjudged trend, tend to occur in abundant humidity and vegetation. Our findings emphasize the significance of considering aridity and vegetation greenness into ET product generation, especially in the context of ongoing global warming and greening. Which hopefully will contribute to the directional optimizations and effective applications of ET simulations.

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A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement

Cited by 18 publications

References 75 publications

ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins

ET-WB: water balance-based estimations of terrestrial evaporation over global land and major global basins

Large Divergence of Satellite Monitoring of Diffuse Radiation Effect on Ecosystem Water‐Use Efficiency

Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe

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