Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

Yang, Chen; Xia, Jiangzhou; Liang, Shunlin; Feng, Jinming; Fisher, Joshua B.; Li, Xin; Li, Xianglan; Liu, Shuguang; Ma, Zhuguo; Miyata, Akira; Mu, Qiaozhen; Sun, Ling; Tang, J.; Wang, Kaicun; Wen, Jun; Xue, Yanbing; Yu, Guirui; Zha, Tonggang; Zhang, Li; Qiang, Zhang; Zhao, Tianbao; Zhao, Liang; Yuan, Wenping

doi:10.1016/j.rse.2013.08.045

Cited by 244 publications

(168 citation statements)

References 69 publications

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“…The simulated ET regional distribution generally has a good agreement with the similar model test in other researches (Chen et al, 2014;Liu et al, 2012;Thomas, 2008;Xiao et al, 2013). The simulated ET results show that the Yangtze and Pearl rivers locate in high ET regions, the Liaohe River mainly locates in the medium ET regions, the Yellow and Haihe rivers cross the medium and low ET regions, but the simulated ET in some places is significantly higher such as south of the Qinghai-Tibet Plateau.…”

Section: Discussionsupporting

confidence: 80%

Regional estimation and validation of remotely sensed evapotranspiration in China

Zhan

Yin

Wang

et al. 2015

CATENA

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Accurate estimates of evapotranspiration (ET) are important to skillful predictions of runoff, soil moisture and crop productivity. In this study, ET was simulated over three years in China by integrating remotely-sensed data with the simulation model SEBS-China. SEBS-China was developed from the Surface Energy Balance System (SEBS) model that is used to estimate atmospheric turbulent heat fluxes and evaporative fraction through satellite-derived radiation fluxes and land surface temperatures coupled with near-surface meteorological variables. Simulated regional ET was first evaluated using experimental data from the Changbai Mountains and five river basins in China. Average annual simulated ET agreed well with the observed data, based on the detailed results through comparative validation. Regional ET derived from SEBS-China was then compared with the simulated ET from the Common Land Model (CoLM). Both of the models simulated regional ET well, with a few overestimated areas such as in the Qinghai-Tibet Plateau, YanShan and South Daxing'anling Mountains. We conclude that more efficient ET estimation can be achieved through combining remotely-sensed information with land surface models.

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Section: Discussionsupporting

confidence: 80%

Regional estimation and validation of remotely sensed evapotranspiration in China

Zhan

Yin

Wang

et al. 2015

CATENA

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“…Their intercomparison of model estimates with 12 EC towers yielded a mean correlation of 0.57. Chen et al [6] reported mean R 2 and RMSE values of 0.5 to 0.8 and 0.45 to 0.75 mm·day −1 , respectively, for eight ET models at 23 EC sites.…”

Section: Reliability and Merits Of The Swh Modelmentioning

confidence: 99%

“…For example, a comparison of 15 model simulations from the Global Soil Wetness Project-2 (GSWP-2) revealed that the annual mean global land surface ET ranged from 272 to 441 mm·year −1 , indicating large discrepancies among the models [7]. A comparison by Chen et al [6] of eight ET models revealed a range of annual mean ET values from 535 to 852 mm in China, confirming large model-to-model differences. Thus, further improvements in regional ET simulation and partitioning are needed.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, detailed and precise knowledge of regional ET is important to obtain a better understanding of the global carbon and water cycles [2][3][4]. Simulating ET at regional scales with high accuracy remains challenging despite the development of many relevant models [5,6]. For example, a comparison of 15 model simulations from the Global Soil Wetness Project-2 (GSWP-2) revealed that the annual mean global land surface ET ranged from 272 to 441 mm·year −1 , indicating large discrepancies among the models [7].…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

Zhang

et al. 2017

Remote Sensing

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Abstract:The modeling and partitioning of regional evapotranspiration (ET) are key issues in global hydrological and ecological research. We incorporated a stomatal conductance model and a light-use efficiency-based gross primary productivity (GPP) model into the Shuttleworth-Wallace model to develop a simplified carbon-water coupling model, SWH, for estimating ET using meteorological and remote sensing data. To enable regional application of the SWH model, we optimized key parameters with measurements from global eddy covariance (EC) tower sites. In addition, we estimated soil water content with the principle of the bucket system. The model prediction of ET agreed well with the estimates obtained with the EC measurements, with an average R 2 of 0.77 and a root mean square error of 0.72 mm·day −1 . The model performance was generally better for woody ecosystems than herbaceous ecosystems. Finally, the spatial patterns of ET and relevant model outputs (i.e., GPP, water-use efficiency and the ratio of soil water evaporation to ET) in China with the model simulations were assessed.

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“…To date, the lack of inter-model consistency in the choice of forcing data has hampered the attribution of the observed skill of each evaporation data set to differences in the models. Only recently, some efforts have been directed towards homogenizing the forcing of these models to allow the assessment of algorithm quality (Vinukollu et al, 2011a;Ershadi et al, 2014;Chen et al, 2014;McCabe et al, 2016). In 2012, the European Space Agency (ESA) WAter Cycle Multi-mission Observation Strategy -EvapoTranspiration (WACMOS-ET) project (http://WACMOSET.estellus.…”

Section: Introductionmentioning

confidence: 99%

The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets

Miralles

Jiménez²,

Jung

et al. 2016

Hydrol. Earth Syst. Sci.

289

214

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Abstract. The WAter Cycle Multi-mission Observation Strategy -EvapoTranspiration (WACMOS-ET) project aims to advance the development of land evaporation estimates on global and regional scales. Its main objective is the derivation, validation, and intercomparison of a group of existing evaporation retrieval algorithms driven by a common forcing data set. Three commonly used process-based evaporation methodologies are evaluated: the PenmanMonteith algorithm behind the official Moderate Resolution Imaging Spectroradiometer (MODIS) evaporation product (PM-MOD), the Global Land Evaporation Amsterdam Model (GLEAM), and the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL). The resulting global spatiotemporal variability of evaporation, the closure of regional water budgets, and the discrete estimation of land evaporation components or sources (i.e. transpiration, interception loss, and direct soil evaporation) are investigated using river discharge data, independent global evaporation data sets and results from previous studies. In a companion article (Part 1), Michel et al. (2016) inspect the performance of these three models at local scales using measurements from eddy-covariance towers and include in the assessment the Surface Energy Balance System (SEBS) model. In agreement with Part 1, our results indicate that the Priestley and Taylor products (PT-JPL and GLEAM) perform best overall for most ecosystems and climate regimes. While all three evaporation products adequately represent the expected average geographical patterns and seasonality, there is a tendency in PM-MOD to underestimate the flux in the tropics and subtropics. Overall, results from GLEAM and PT-JPL appear more realistic when compared to surface water balances from 837 globally distributed catchments and to separate evaporation estimates from ERAInterim and the model tree ensemble (MTE). Nonetheless, all products show large dissimilarities during conditions of water stress and drought and deficiencies in the way evaporation is partitioned into its different components. This observed inter-product variability, even when common forcing is used, suggests that caution is necessary in applying a single data set for large-scale studies in isolation. A general finding that different models perform better under different conditions highlights the potential for considering biome-or climatespecific composites of models. Nevertheless, the generation of a multi-product ensemble, with weighting based on validation analyses and uncertainty assessments, is proposed as the Published by Copernicus Publications on behalf of the European Geosciences Union. D. G. Miralles et al.: The WACMOS-ET project -Part 2best way forward in our long-term goal to develop a robust observational benchmark data set of continental evaporation.

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Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

Cited by 244 publications

References 69 publications

Regional estimation and validation of remotely sensed evapotranspiration in China

Regional estimation and validation of remotely sensed evapotranspiration in China

Modeling and Partitioning of Regional Evapotranspiration Using a Satellite-Driven Water-Carbon Coupling Model

The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets

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