Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component

Zhao, Ning; Liu, Yü; Cai, Jiabing; Paredes, Paula; Rosa, Ricardo D.; Pereira, Luís S.

doi:10.1016/j.agwat.2012.11.008

Cited by 115 publications

(76 citation statements)

References 57 publications

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“…Similar to previous studies (Kang et al, 2003;Zhao et al, 2013), the proportion of evaporation (the evaporation fraction) was the largest at the initial stage, then decreased during crop development and reached its lowest value at the mid-season stage, with a significant rebound occurring during the late season. The dynamic role of evaporation was mainly attributed to crop vegetation development (Hu et al, 2009;Liu et al, 2002).…”

Section: Characteristics Of Et Partitioningsupporting

confidence: 87%

“…The observed soil evaporation may have been higher than the actual soil evaporation, since the microlysimeter disregarded the soil water loss due to the root water extraction in the evaporative soil layer. Similar behavior was reported for maize by Zhao et al (2013) and at same latitude sites. Compared to the ET dir method, using the ET ind method resulted in much lower values for the rate of evaporation, especially after irrigation during the initial and mid-late crop development stage (see also Table 4).…”

Section: Et At Daily Timescalesupporting

confidence: 86%

“…To assess the model performance, several performance matrixes were used similar to in previous studies Zhao et al, 2013). The determination coefficient (R 2 ), achieved by performing a linear regression between observed…”

Section: Performance Matrixesmentioning

confidence: 99%

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The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

Zeng

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Different methods for assessing evapotranspiration (ET) can significantly affect the performance of land surface models in portraying soil water dynamics and ET partitioning. An accurate understanding of the impact a method has is crucial to determining the effectiveness of an irrigation scheme. Two ET methods are discussed: one is based on reference crop evapotranspiration (ET 0 ) theory, uses leaf area index (LAI) for partitioning into soil evaporation and transpiration, and is denoted as the ET ind method; the other is a one-step calculation of actual soil evaporation and potential transpiration by incorporating canopy minimum resistance and actual soil resistance into the Penman-Monteith model, and is denoted as the ET dir method. In this study, a soil water model, considering the coupled transfer of water, vapor, and heat in the soil, was used to investigate how different ET methods could affect the calculation of the soil water dynamics and ET partitioning in a crop field. Results indicate that for two different ET methods this model varied concerning the simulation of soil water content and crop evapotranspiration components, but the simulation of soil temperature agreed well with lysimeter observations, considering aerodynamic and surface resistance terms improved the ET dir method regarding simulating soil evaporation, especially after irrigation. Furthermore, the results of different crop growth scenarios indicate that the uncertainty in LAI played an important role in estimating the relative transpiration and evaporation fraction. The impact of maximum rooting depth and root growth rate on calculating ET components might increase in drying soil. The influence of maximum rooting depth was larger late in the growing season, while the influence of root growth rate dominated early in the growing season.

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Section: Characteristics Of Et Partitioningsupporting

confidence: 87%

Section: Et At Daily Timescalesupporting

confidence: 86%

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The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

Zeng

et al. 2016

Hydrol. Earth Syst. Sci.

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“…In all cases, the results of goodness of fit indicators showed good model performance and small errors of estimates [8,34,35]. Furthermore, ET partitioning was performed in other studies, e.g., testing the soil evaporation algorithm through comparing simulated with microlysimeter observations [45,46], crop transpiration against sap flow measurements [8,40] and crop ET compared with eddy covariance ET data [47]. An example of the results of the model calibration for barley is presented in Figure 2, which shows that the simulated soil water content accurately follows the dynamics of observations throughout the barley crop season [35].…”

Section: Simdualkcmentioning

confidence: 95%

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

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Abstract:A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management. OPEN ACCESSRemote Sens. 2015, 7 2374

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“…The SIMDualKc model has been positively tested for actual transpiration using sap-flow measurements [40,41] and for soil evaporation using micro-lysimeters [42,43] including soybeans [26]. The SIMDualKc model computes crop evapotranspiration (ET c ) under standard/potential, non-limiting conditions as…”

Section: Modellingmentioning

confidence: 99%

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart's yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (T c act ) and soil evaporation (E s ), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) ≤ 7.6%. AquaCrop was less accurate, with NRMSE ≤ 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of T c act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE ≤ 23% due to under-estimation of T c act , particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart's model.

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Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component

Cited by 115 publications

References 57 publications

The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

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