Using Bayesian analysis to compare the performance of three evapotranspiration models for rainfed jujube (Ziziphus jujuba Mill.) plantations in the Loess Plateau

Chen, Dianyu; Wang, Xing; Liu, Shouyang; Wang, Youke; Gao, Zhiyong; Zhang, Linlin; Wei, Xinguang; Wei, Xindong

doi:10.1016/j.agwat.2015.06.004

Cited by 15 publications

(9 citation statements)

References 82 publications

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“…Consequently, the half-hourly patterns of errors in the estimates of ET by the PM and SW models are characterized by symmetry and a low degree of scatter, but the PT-FC and AA models exhibit consistently asymmetrical error patterns. By contrast, other studies showed that the PM model (Kato et al, 2004) and the SW model (Chen et al, 2015) underestimated half-hourly ET. As for the PT-FC and AA models, some studies reported that the PT-JPL (Zhang et al, 2017) and the AA model showed an overall poor performance (Zhang et al, 2017), while other studies have indicated that the AA method performed well for both maize and canola crops (Liu et al, 2012).…”

Section: Analysis Of Model-data Mismatchmentioning

confidence: 64%

“…Comparing the performance of the competing ET models and evaluating and understanding the discrepancies between simulations of the models and corresponding observed surface-atmosphere water flux remain challenging problems (Legates and McCabe, 1999). Both non-Bayesian analysis (Szilagyi and Jozsa, 2008;Vinukollu et al, 2011;Ershadi et al, 2015) and Bayesian analysis have been used to evaluate the performance of ET models (Zhu et al, 2014;Chen et al, 2015;Liu et al, 2016;Zhang et al, 2017;Elshall et al, 2018;Samani et al, 2018;). compared the ET simulations of the PM, SW and adjusted SW models under film-mulching conditions of maize growth in an arid region of China.…”

Section: Introductionmentioning

confidence: 99%

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Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Guo-xiao

Zhang

et al. 2019

Hydrol. Earth Syst. Sci.

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Abstract. Evapotranspiration (ET) is a major component of the land surface process involved in energy fluxes and energy balance, especially in the hydrological cycle of agricultural ecosystems. While many models have been developed as powerful tools to simulate ET, there is no agreement on which model best describes the loss of water to the atmosphere. This study focuses on two aspects, evaluating the performance of four widely used ET models and identifying parameters, and the physical mechanisms that have significant impacts on the model performance. The four tested models are the Shuttleworth–Wallace (SW) model, Penman–Monteith (PM) model, Priestley–Taylor and Flint–Childs (PT–FC) model, and advection–aridity (AA) model. By incorporating the mathematically rigorous thermodynamic integration algorithm, the Bayesian model evidence (BME) approach is adopted to select the optimal model with half-hourly ET observations obtained at a spring maize field in an arid region. Our results reveal that the SW model has the best performance, and the extinction coefficient is not merely partitioning the total available energy into the canopy and surface but also including the energy imbalance correction. The extinction coefficient is well constrained in the SW model and poorly constrained in the PM model but not considered in PT–FC and AA models. This is one of the main reasons that the SW model outperforms the other models. Meanwhile, the good fitting of SW model to observations can counterbalance its higher complexity. In addition, the detailed analysis of the discrepancies between observations and model simulations during the crop growth season indicate that explicit treatment of energy imbalance and energy interaction will be the primary way of further improving ET model performance.

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Section: Analysis Of Model-data Mismatchmentioning

confidence: 64%

Section: Introductionmentioning

confidence: 99%

Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Guo-xiao

Zhang

et al. 2019

Hydrol. Earth Syst. Sci.

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“…The canopy transpiration of Pinus laricio dropped by 50% when the only water source (rainfall) was avoided by using shelter in Southern Italy [36]. According to previous studies, ecosystem water use is largely limited by soil water availability in water-deficit regions, whatever the atmospheric demand [37][38][39][40][41][42][43][44][45][46][47][48][49]. Generally, soil moisture can affect plant water use when it is below a certain threshold.…”

Section: Daily Scalementioning

confidence: 99%

Grapevine Sap Flow in Response to Physio-Environmental Factors under Solar Greenhouse Conditions

Wei

Chen

et al. 2020

Water

Self Cite

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Understanding transpiration responses to physiological and environmental factors is essential for efficient water management practices in greenhouse grapevine farms. To determine the driving factors of grapevine sap flow under solar greenhouse conditions in a typical cold climate, the sap flow, greenhouse micro-environmental conditions, and canopy details were measured and analyzed for the 2017–2018 growing season in Northeast China. The results showed that leaf area index controlled the upper boundary of sap flow rate (SFR). Correlations between SFR and meteorological factors obviously varied with time scales. Besides, the correlations at the hourly scale varied across the seasons. Photo-synthetically active radiation (PAR) was the primary control factor of sap flow, irrespective of time scale or season. The start and stop times of sap flow did not change with weather conditions, but SFR had broader peaks with higher peak values during sunny days. The diurnal variation of SFR lagged behind that of PAR, but remained ahead of those of VPD and temperature. Weather condition changed the sizes of the hysteresis loops, but not the rotation direction. The hydrological and physiological processes involved in sap flow are useful for refining transpiration models and improving water use efficiency in the greenhouse environment.

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“…The area has a semi-arid temperate climate, and is plagued by droughts, as well as serious water and soil erosion . As a consequence, the cultivation of jujube, a traditional Chinese fruit tree with good drought resistance, is widespread on the Loess Plateau (Chen et al, 2015;Gao, Wu, Zhao, Wang, & Shi, 2014;Liu, Wang, Wei, Wang, & Zhang, 2013).…”

Section: Agriculture In Chinamentioning

confidence: 99%

“…Although the respondents indicated that the problem of harvest failures due to prolonged rainy weather in autumn was widespread in the jujube-producing counties of the region, the scientific literature does not mention it. On the contrary, when climate change in the Loess Plateau region and adaptation of jujube cultivation are discussed, it is about the problem of water scarcity and enhancing the water use efficiency of jujube production (e.g., Gao et al, 2014;Chen et al, 2015). We therefore contacted researchers from Northwest Agriculture & Forestry University who operate an experimental station in Mizhi county, which is adjacent to Jia county, and monitor the precipitation in the area.…”

Section: Comparison With Other Studiesmentioning

confidence: 99%

Sustainable agricultural development in China

Jing

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show abstract

Using Bayesian analysis to compare the performance of three evapotranspiration models for rainfed jujube (Ziziphus jujuba Mill.) plantations in the Loess Plateau

Cited by 15 publications

References 82 publications

Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region

Grapevine Sap Flow in Response to Physio-Environmental Factors under Solar Greenhouse Conditions

Sustainable agricultural development in China

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