Multi-site evaluation of terrestrial evaporation models using FLUXNET data

Ershadi, Ali; McCabe, Matthew F.; Evans, Jason P.; Chaney, Nathaniel W.; Wood, Eric F.

doi:10.1016/j.agrformet.2013.11.008

Cited by 276 publications

(354 citation statements)

References 132 publications

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“…The root mean square deviation (RMSD) and biases for all the models fell within a small range with the highest correlation with tower data for PT-JPL, and the lowest for SEBS. These results somewhat disagree with the work of Ershadi et al (2014) who inspected the performance of SEBS, the single-source Penman-Monteith, advection-aridity (AA) complementary method (Brutsaert and Stricker, 1979) and PT-JPL using a high quality forcing dataset from 20 FLUXNET stations and 30 found that the models can be ranked from the best to the worst model as: PT-JPL followed closely by SEBS then PM and finally AA. In the same study, a more detailed analysis revealed that no single model was consistently the best across all landscapes.…”

Section: Introductioncontrasting

confidence: 53%

“…Zhang et al (2016) pointed out that merging an ensemble of gridded ET products using a sophisticated data fusion method is 15 likely to generate a better ET product with reduced uncertainty. Ershadi et al (2014) and McCabe et al (2016) noted in their studies that the multi-product mean produces improved estimates relative to individual ET products. Similarly, the analysis result of the LandFlux-EVAL project (Mueller et al, 2013) suggested that deriving ET values using the mean of multiple datasets outperforms the ET values from individual datasets.…”

Section: Introductionmentioning

confidence: 99%

“…This approach leads to large and 15 usually unquantifiable uncertainties. As a result, gridded LSM evaluation products show considerable differences (Ershadi et al, 2014;Jiménez et al, 2011;McCabe et al, 2016 ;Michel et al, 2016;Vinukollu et al, 2011). If an accurate description of these uncertainties was available, then it might be possible to evaluate gridded LSM simulations in certain circumstances, but until now very few studies quantify LSM uncertainties at regional or global scales (Badgley et al, 2015;Loew et al, 2016;Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Abramowitz¹,

Hobeichi²

2017

Preprint

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Abstract. Accurate global gridded estimates of evapotranspiration (ET) are key to understanding water and energy budgets, as well as being required for model evaluation. Several gridded ET products have already been developed which differ in their data requirements, the approaches used to derive them and their estimates, yet it is not clear which provides the most 10 reliable estimates. This paper presents a new global ET dataset and associated uncertainty with monthly temporal resolution for 2000-2009. Six existing gridded ET products are combined using a weighting approach trained by observational datasets from 159 FLUXNET sites. The weighting method is based on a technique that provides an analytically optimal linear combination of ET products compared to site data, and accounts for both the performance differences and error covariance between the participating ET products. We examine the performance of the weighting approach in several in-sample and out-15 of-sample tests that confirm that point-based estimates of flux towers provide information at the grid scale of these products.We also provide evidence that the weighted product performs better than its six constituent ET product members in three common metrics. Uncertainty in the ET estimate is derived by rescaling the spread of participating ET products so that their spread reflects the ability of the weighted mean estimate to match flux tower data. While issues in observational data and any common biases in participating ET datasets are limitations to the success of this approach, future datasets can easily be 20 incorporated and enhance the derived product.

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Section: Introductioncontrasting

confidence: 53%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Abramowitz¹,

Hobeichi²

2017

Preprint

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“…We fitted a PM transpiration model to the observed plot level latent heat flux and then tested the effects of soil moisture on the residual between the observed evapotranspiration and the model's predictions. We chose the PM model for this analysis as it is widely used and accepted for estimating LE, while it does not include any mechanistic link between soil water potential and stomatal conductance [Ershadi et al, 2014;Stannard, 1993]. The PM model predictions for transpiration, E PM (W m À2 ) therefore represent our null hypothesis to test for species/size, and soil moisture effects on transpiration.…”

Section: Penman-monteith Modelmentioning

confidence: 99%

Species‐specific transpiration responses to intermediate disturbance in a northern hardwood forest

et al. 2014

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Intermediate disturbances shape forest structure and composition, which may in turn alter carbon, nitrogen, and water cycling. We used a large-scale experiment in a forest in northern lower Michigan where we prescribed an intermediate disturbance by stem girdling all canopy-dominant early successional trees to simulate an accelerated age-related senescence associated with natural succession. Using 3 years of eddy covariance and sap flux measurements in the disturbed area and an adjacent control plot, we analyzed disturbance-induced changes to plot level and species-specific transpiration and stomatal conductance. We found transpiration to be~15% lower in disturbed plots than in unmanipulated control plots. However, species-specific responses to changes in microclimate varied. While red oak and white pine showed increases in stomatal conductance during postdisturbance (62.5 and 132.2%, respectively), red maple reduced stomatal conductance by 36.8%. We used the hysteresis between sap flux and vapor pressure deficit to quantify diurnal hydraulic stress incurred by each species in both plots. Red oak, a ring porous anisohydric species, demonstrated the largest mean relative hysteresis, while red maple, bigtooth aspen, and paper birch, all diffuse porous species, had the lowest relative hysteresis. We employed the Penman-Monteith model for LE to demonstrate that these species-specific responses to disturbance are not well captured using current modeling strategies and that accounting for changes to leaf area index and plot microclimate are insufficient to fully describe the effects of disturbance on transpiration.

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“…In order to minimize the uncertainty caused by the retrieval of various vegetation parameters, such as fractional vegetation coverage and vegetation index, based on the component of SEBS, as a reference we used the field experiment database (http://www.ral.ucar.edu/research/land/technology/lsm/ noahlsm-v3.2/VEGPARM.TBL), which has been widely used around the world (Acharya et al, 2011;Ching, 2013;Ershadi et al, 2014;Gottschalck et al, 2005).…”

Section: Improvement Of Sebs Modelmentioning

confidence: 99%

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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Multi-site evaluation of terrestrial evaporation models using FLUXNET data

Cited by 276 publications

References 132 publications

Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate

Species‐specific transpiration responses to intermediate disturbance in a northern hardwood forest

Regional estimation and validation of remotely sensed evapotranspiration in China

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